ABSTRACT
Introduction
Existing methods for morphological, organoleptic, and chemical authentication may not adequately ensure the accurate identification of plant species or guarantee safety. Herbal raw material authentication remains a major challenge in herbal medicine. Over the past decade, DNA barcoding, combined with an orthogonal approach integrating various testing methods for quality assurance, has emerged as a new trend in plant authentication.
Objective
The review evaluates DNA barcoding and common alternative testing in plant‐related sectors to enhance quality assurance and accurate authentication.
Method
Studies were selected based on their relevance to the identification, quality assurance, and safety of herbal products. Inclusion criteria were peer‐reviewed articles, systematic reviews, and relevant case studies from the last two decades focused on DNA barcoding, identification methods, and their applications. Exclusion criteria involved studies lacking empirical data, those not peer‐reviewed, or those unrelated to the main focus. This ensured the inclusion of high‐quality, pertinent sources while excluding less relevant studies.
Results
An orthogonal approach refers to the use of multiple, independent methods that provide complementary information for more accurate plant identification and quality assurance. This reduces false positives or negatives by confirming results through different techniques, combining DNA barcoding with morphological analysis or chemical profiling. It enhances confidence in results, particularly in cases of potential adulteration or misidentification of plant materials.
Conclusion
This study highlights the persistent challenges in assuring the quality, purity, and safety of plant materials. Additionally, it stresses the importance of incorporating DNA‐based authentication alongside traditional methods, to enhance plant material identification.
Keywords: adulteration, authentication, chemical analysis, DNA barcode, herbal products, metabarcoding, mini barcoding, orthogonal approach, quality assurance
1. Introduction
Herbs and spices have long played a key role in both culinary and medicinal practices. With modern technology and scientific advances, secondary compounds plants produce have gained attention for their unique chemical properties, leading to their use in food, medicine, and cosmetics. The herbal and spice market has grown significantly in the past decade, driven by their functional properties and increased awareness of health benefits associated with herbal products [1, 2]. Additionally, the COVID‐19 pandemic has further accelerated the demand for herbal products, particularly those having immune‐boosting properties [3, 4]. Herbal plant species known for their antiviral properties from various genera such as Citrus, Allium, Mentha, Ocimum, and Nigella have become highly sought‐after for their anticipated potential health benefits [5, 6, 7, 8, 9, 10]. This trend is expected to continue, indicating a sustained and growing demand for herbal products in various industries [1, 11]. However, concerns regarding sustainability and quality control of herbal products need to be addressed to ensure ethical sourcing and safe usage.
With the globalization of the herbal market, the risk of raw materials being contaminated with adulterants or substitutes has increased, threatening patient safety and herbal efficacy [12, 13, 14, 15, 16]. Globally, several safety issues have arisen from incorrect or misleading authentication of medicinal herbs and their source plants. Authentication, a quality assurance process, verifies plant species, using methods like anatomical and morphological features, chemical analysis, DNA testing, or a combination of these methods [17, 18, 19, 20], as shown in Figure 1. DNA barcoding and chemical testing can also detect adulteration. In addition to species identification, chemical tests are also used to measure the concentration of specific compounds when chemical markers are of interest. The term authentication is commonly used in the context of ensuring the correct identity of plant‐based products. In contrast, identification specifically refers to determining the plant species, particularly before processing them for product development or research [21, 22, 23]. Therefore, proper identification and authentication are essential to ensure the safe and effective use of herbal products in modern medicine and health care [24, 25].
FIGURE 1.

Overview of the authentication process in quality assurance.
Despite the long history of herbal medicine usage, only a limited number of plant species have been extensively studied for their potential medical applications [26, 27]. Furthermore, herbal medicines are often complex mixtures, and their safety and efficacy often depend on their metabolite content. This represents a challenge not only when researchers want to evaluate the efficacy of bioactive compounds but also when they want to evaluate the authenticity of the botanicals [28, 29]. However, with the increasing understanding of both the traditional knowledge and scientifically documented benefits of herbs, consumers are now more inclined to explore herbal remedies as viable alternatives to conventional, mono‐substance‐based supplements and medicines. Recognizing this shift, the World Health Organization (WHO) has highlighted the growing acceptance of traditional medicine (TM) in national health systems [30]. Many countries are actively developing policies, enacting laws and regulations, and implementing frameworks to govern herbal medicines [31]. However, the rise of adulteration poses a significant concern to the herbal product industry. Although intentional adulteration is considered a deliberate malpractice, unintentional or accidental adulteration can also occur during the trade of raw materials. Some historical examples are given in Table 1. This review article will evaluate the state of the use of DNA barcoding and alternative/complementary testing in plant‐related sectors to enhance quality assurance and accurate identification.
TABLE 1.
Examples of plant species, their adulterants, and associated effects.
| Species name | Common name | Adulterants | Adulteration | Effects | References |
|---|---|---|---|---|---|
| Stephania tetrandra | Fang ji, Han Fang Ji | Aristolochia fangchi | Accidental | Aristolochia contains concentrations of aristolochic acid that can result in nephrotoxicity. | Tankeu et al [32] |
| Hypericum perforatum | St. John's Wort | H. barbatum, H. hirsutum , H. undulatum , and other species from genus Hypericum | Accidental and intentional | H. perfotatum is the most used herb for treating depression. Adulteration from the same genera may significantly reduce efficacy. | Booker et al. [33]; Sgamma et al. [34] |
| Echinacea spp. | Purple coneflower | Parthenium integrifolium , Helianthus spp., Lespedeza capita, Eryngium aquaticum , and Rudbeckia nitida | Accidental and intentional | Adulteration could decrease the safety, efficacy, and reliability of commercial Echinacea products. | Zhang et al. [35] Gafner et al. [35] |
| Lavender angustifolia | Lavender | Lavandula × intermedia | Intentional | Reduce the quality of Lavender oil. | Bejar [36] |
| Sambucus spp. | Elderberry | Oryza sativa | Intentional | Reduce health benefits to consumers. | ABC‐AHP‐NCNPR [37] |
| Scrutellaria spp. | Teucrium spp. | Accidental and intentional | Adulteration causes liver toxicity. | Foster [38] | |
| Nigella sativa | Black seeds | With seeds of the same size and color and oils on sunflower and soybean. | Intentional | Reduce benefits to consumers. | Orhan [39] |
| Origanum vulgare | Oregano | Cistus spp., Corylus avellana , Fragaria spp., Myrtus communis , Origanum majorana , and Thymus spp. | Accidental and intentional | Effects on the quality of herbs and oil. | Black et al. [40] |
| Withania somnifera | Ashwagandha | Roots substituted with aerial parts | Intentional | Reduce the potency and therapeutic effectiveness of the herbal product, potentially diminishing its intended benefits. | Kumarsingh et al. [41] |
| Curcuma longa | Turmeric | Curcuma spp. and synthetic curcuminoids and color | Intentional | Published reports indicate a reduction in the efficacy of the herb as well as instances of lead toxicity. | Bejar [42] |
2. Morphological‐Based Plant Species Identification and the Need for Complementary Methods
Morphological traits—both macroscopic and microscopic—have been extensively used in scientific investigation and botanical quality control [43, 44, 45, 46]. Macroscopic examination is based on shape, size, color, surface characteristics, and organoleptic elements, however, these characteristics can vary depending on environmental conditions and time of harvest [47, 48]. Microscopic examination analyzes structural, cellular, and molecular features of herbal products using various microscopy techniques [49, 50], as detailed in several pharmacopeias, notably the European, British, United States, and Chinese Pharmacopoeias. However, in the herbal plant sector, relying solely on morphological features can lead to incorrect identification of plant material, posing risks to consumer health [51]. Below are a few reported examples:
2.1. Case Studies
2.1.1. Echinacea
Echinacea purpurea is rich in phytochemicals with significant therapeutic potential. It exhibits a range of biological activities, including antioxidant, immunomodulatory, anti‐inflammatory, antibacterial, antiviral, and antiosteoporotic effects [52, 53]. These properties underscore its ecological and medicinal importance. Notably, the phytochemical composition and pharmacological effects can vary depending on the specific Echinacea species, leading to differences in the biological activities of their extracts [54]. Accurate identification of Echinacea species ( Echinacea purpurea , Echinacea angustifolia , and Echinacea pallida ) based on morphological traits is complicated by phenological variability within the species and overlapping visual characteristics [35, 54, 55, 56, 57, 58] (Figure 2). According to the British Pharmacopoeia monographs and other morphological features‐based studies, the roots of E. purpurea , E. angustifolia , and E. pallida exhibit similar macroscopic characteristics [55, 56]. All three species have cylindrical and spirally twisted roots that are longitudinally wrinkled with a light to reddish brown color. These species also exhibit several morphological similarities and their anatomical features. All three species possess lignified fibers arranged in long bundles and groups of squarish to rectangular cells in the outer root layers. Both E. angustifolia and E. pallida display black phyto‐melanin deposits associated with their fibers and sclereids, whereas E. purpurea lacks these deposits (Figure 2A–C). The vessels in E. angustifolia and E. pallida exhibit reticulate and scalariform thickenings, with E. angustifolia also showing bordered‐pitted thickenings (Figure 2D,E). All three species feature oil secretory canals. Sclereids are abundant in all three species; however, their shapes and the presence of phyto‐melanin deposits vary. E. purpurea sclereids are devoid of black phyto‐melanin, whereas E. angustifolia and E. pallida show these deposits in elongated to rectangular, and rectangular to irregular sclereids, respectively (Figure 2F–H). Fine‐walled, pitted parenchyma is abundant in all (Figure 2I–N). The absence of phyto‐melanin deposits in the sclereids of E. purpurea is the only distinct difference. However, this is not a reliable diagnostic feature because phyto‐melanin‐coated sclereids are present in the rhizome of the same species [59]. The remaining macroscopic and microscopic features are similar among these three species, making it difficult to accurately identify them using only morphological characteristics, particularly when samples are in powdered form.
FIGURE 2.

Illustration of microscopic diagnostic features in Echinacea species, adapted from the British Pharmacopoeia monograph [55] (A) Narrow lignified fibers with black phyto‐melanin in E. angustifolia . (B) Spindle‐shaped fibers in E. purpurea . (C) Lignified fibers with black phyto‐melanin in E. pallida . (D) Vessels with reticulate bordered‐pitted thickenings in E. angustifolia . (E) Vessels with reticulate thickenings in E. pallida . (F, G) Sclereids with phyto‐melanin in E. angustifolia and E. pallida respectively. (H) Sclereids with no phyto‐melanin in E. purpurea . (I, L) Outer layers with squarish and rectangular cells with fine wall pitted parenchyma in E. angustifolia . (J, M) Squarish and rectangular cells of outer layers, pitted in E. purpurea . (K, N) Squarish to rectangular cells with abundant thin‐walled and pitted parenchyma in E. pallida .
2.1.2. Panax (Ginseng)
Panax quinquefolius L. (American ginseng) is one of the most widely used medicinal herbs in the US and has been used in Chinese traditional medicines for thousands of years to treat cold and flu by reinforcing the immune system [60, 61]. Due to the high demand for ginseng products, American ginseng is adulterated with Asian ginseng ( Panax ginseng ) as both species share morphological and chemical characteristics [62, 63]. In both species, the roots are fusiform, cylindrical, and branched. Transverse sections of the roots show a wide outer zone with scattered reddish resin canals. Microscopically, fragments of parenchyma cells containing calcium oxalate are found in both species, along with fragments of large secretory canals containing resin in granular masses. These similarities in the roots, both macroscopically and microscopically, complicate the accurate authentication of the ginseng products [64, 65].
2.1.3. Radix Angelica Sinensis
Radix Angelica sinensis (Danggui), a Chinese herb root, is commonly used in treating gynecological conditions [66, 67, 68]. Besides its medical use, Danggui is also used by women worldwide as a health food supplement [69]. Its identification becomes challenging when processed and incorporated into Chinese patent medicines [70, 71]. Due to high demand, many adulterants have emerged on the market, including species from the same genus and different genera, owing to morphological similarities [72, 73]. This issue has been highlighted in numerous studies focused on Danggui [71, 74, 75, 76, 77, 78]. However, all potential adulterants are not comprehensively covered in the British Pharmacopoeia. Here, we discuss two species of the genus Angelica and their morphological similarities [78]. According to the British Pharmacopoeia monographs, Angelica sinensis roots are yellowish brown, whereas Angelica archangelica roots are reddish brown. The root powder of both species ranges from yellowish to reddish with brown fragments of cork. The cork in both species is longitudinally wrinkled. Additionally, the powder from both species also contains small groups of single starch granules. Most features are similar when diagnostic tests are performed using morphological traits, making accurate identification crucial to ensure the authenticity and efficacy of medicinal preparations [77].
2.1.4. Chamomile
Chamomile is widely used as a sedative, anxiolytic, antispasmodic, and treatment for mild skin irritation and inflammation [79, 80, 81]. There are numerous forms of chamomile, with the two most popular being Matricaria recutita (German chamomile) and Anthemis nobilis (Roman chamomile). German chamomile is one of the oldest and most extensively utilized plants globally [81]. It is considered more potent than Roman chamomile, has received more scientific evaluation, and is more widely cultivated [81, 82, 83]. Matricaria recutita is prone to adulteration with morphologically similar species such as Anthemis nobilis , Anthemis cotula , and Senecio species. Senecio species are reported to be hepatotoxic due to their pyrrolizidine alkaloid content [84], and A. cotula is known to be toxic due to its high content of coumarins and the sesquiterpene lactone anthecotulide, which can cause vomiting, diarrhea, and allergic reactions [85]. A. nobilis , although not toxic, is less effective than Matricaria recutita [84].
Below are the similarities between German and Roman chamomile as documented in the British Pharmacopoeia [86]. Both species possess capitula, which consist of an involucre made up of numerous bracts arranged in one to three rows. The capitula features marginal ligulate florets that are white, surrounding central yellow tubular florets. The involucral bracts have scarious margins. The inferior ovary is dark brown and is accompanied by a long style and a bifid stigma. The tubular florets have a five‐toothed corolla tube, five syngenesious, epipetalous stamens, and a gynoecium similar to the ligulate florets. Microscopically, the outer epidermis of the involucral bracts in both species consists of anomocytic stomata and glandular trichomes. Fragments of the involucral bracts also contain finely pitted sclereid cells at the base. The outer epidermis of ligulate florets is covered with striated cuticle and papillose cells at the apex of the florets. Fragments of the base of the flower, where the ovary is located, exhibit a ring of thick‐walled sclerenchymatous cells. Parenchyma cells of the ovary and involucral bracts contain small clusters of calcium oxalate crystals. Groups of cells at the apex of the stigma form elongated papillae. Pollen grains are spherical or triangular with germinal pores and spiny exine. These detailed macroscopic and microscopic characteristics, present in both species, complicate accurate authentication using only morphological features.
Relying solely on morphological features for identifying plants faces several challenges. Intraspecies variability can lead to significant phenological differences within the same species, making accurate identification difficult. Interspecies similarities further complicate the process, as different species may share similar morphological traits, increasing the risk of misidentification [52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86]. During initial harvesting, a lack of key features, such as flowers, poses a problem when plants are harvested for parts like roots that do not exhibit these identifying characteristics. The critical issue here is the accurate identification of plants and the determination of the optimal harvesting stage to ensure a high yield of the desired compounds. If the wrong species is harvested due to morphological similarities with the target species or if the plant is harvested at a stage when it is not producing the desired compounds—which are not always marker compounds of the species—it becomes challenging to identify the mistake during later stages of processing. Thus, proper identification and timing of harvest are essential to avoid such issues [87, 88]. Additionally, in herbal medicine, the processing of plant materials into powders or other forms can obscure critical morphological traits, making identification even more challenging [89, 90]. Even with advanced automated plant species identification tools such as digital cameras and mobile devices, morphological descriptors [91, 92, 93] alone are insufficient to address the issue when plant material is available in powdered form.
Consequently, these limitations in morphological identification can lead to the intentional or unintentional adulteration of plant materials during the supply chain, a problem that has been repeatedly reported in various cases by the American Botanical Council [94]. This often results in the final product being either devoid of or inferior in its chemical and therapeutic properties. In such cases, chemical/molecular methods are recommended as additional methods for ensuring accurate authentication and safeguarding consumers' health.
3. Chemical Methods for Herbal Plant Authentication: Quality Control and Authenticity
Chemical methods are widely used and conventionally suggested as quality control techniques and are recognized by major pharmacopeias worldwide, including the United States Pharmacopeia and National Formulary, the European Pharmacopeia, the British Pharmacopoeia, the Pharmacopoeia of the People's Republic of China, the Japan Pharmacopoeia, the Indian Pharmacopoeia, and the Korea Pharmacopoeia [36, 95, 96, 97]. These pharmacopeias recommend the utilization of different chromatographic, spectrometric, and spectroscopic techniques for the qualitative and quantitative assessments of herbal materials in domestic and international trade [36]. The chemical tests outlined in monographs serve a dual role in herbal medicine: They help identify the plant species by detecting specific markers and evaluate quality by confirming the presence of bioactive compounds that contribute to the therapeutic effects.
Up to date, the use of simple chromatographic techniques like TLC, HPTLC, HPLC, and GC has been more common in the industry due to the cost‐effectiveness, high throughput, and simple operation protocols [12, 33]. These techniques have proven effective for identifying plant part substitutions, which are common in commercially important medicinal plants like Hypericum perforatum and Withania somnifera , as well as species adulteration such as the adulteration of Curcuma longa (turmeric) with its wild relative [26, 42, 43]. In addition to chromatographic fingerprinting, spectroscopic (such as NMR, UV, IR, and NIR), spectrometry (such as MS), and hyphenated techniques (LC‐MS, HPLC‐UV, and GC‐MC) are also utilized in the herbal plant industry to enhance the accuracy of adulteration detection [33, 34, 65].
Before the advent of chemical fingerprinting, the widely used method for the authentication of herbal plants and herbal medicinal products (HMPs) was a component‐based approach, which focused on the identification of one or a few targeted markers [98, 99, 100]. This approach is preferred when the chemical properties of specific compounds are well‐characterized. However, since the therapeutic effects of medicinal plants are often the result of combined action of multiple chemical constituents, relying solely on single characteristic markers is often insufficient for accurate authentication [101]. A major limitation of using standard markers for authentication is that many bioactive compounds are not unique to a single species. For example, scutellarin occurs in various species of Scutellaria (Lamiaceae) and Erigeron (Asteraceae) [102, 103], whereas berberine is found in plants from the Berberis genus (Berberidaceae) as well as Mahonia, Coptis, and Phellodendron, spanning different families [101, 104, 105]. This lack of species specificity reduces their effectiveness as “standard markers” for precise species‐level identification. Accurate authentication requires species‐specific chemical markers, such as coptisine for Coptis species [105]. Additionally, the primary bioactive compound may not always be present at every stage of herbal material processing, potentially leading to false negatives, where materials are wrongly rejected due to the marker's absence [106, 107].
Unlike the component‐based approach, which targets a few specific markers, fingerprinting provides a detailed chemical profile of the entire plant material, making it more effective in detecting adulteration, substitutions, and variations in plant materials, even when specific markers may be absent or insufficient. This method allows for better species discrimination, particularly in cases where closely related species may look similar but have distinct chemical compositions and pharmacological effects. For instance, in the case of Echinacea, a popular immune‐boosting plant, different species within the genus often share morphological similarities, leading to potential confusion. However, each Echinacea species has unique pharmacological properties and distinct phytochemical profiles. Both HPLC and HPTLC fingerprinting methods have proven to be effective in ensuring the quality and safety of Echinacea products by distinguishing between these species [57]. Echinacea purpurea (the time‐tested species) has a characteristic presence of chicoric acid, caftaric acid, and chlorogenic acid with a minimal amount or absence of cyanarin, echinacoside, and alkamides, the other two Echinacea species, E. augustifolia and E. pallida , possess echinacoside as their major component. These compound variations were detected using HPLC‐CAD (charged aerosol detector) and advanced HPTLC techniques [57]. However, the chemical composition of E. purpurea can be significantly affected by the timing of harvest or the growth stage, posing a challenge when identifying the species using only chemical methods [108].
The advancements in chemical fingerprinting techniques contribute to the reliable authentication and quality control of herbal plants and HMPs. It is important to note that chemical fingerprinting has its limitations. For certain herbs, specific chemical markers remain unidentified. Additionally, there are cases where adulterants and substitutes share the same chemical profile, complicating identification. Variability in chemical profiles at different growth stages can further challenge the accuracy of results. Moreover, processing methods may alter or degrade chemical compounds, making the interpretation of the data more complex [101, 102, 103, 104, 105, 108]. Other issues are the nonuniformity in certification methods via chemical analyses, including varying choices of mobile and stationary phases in TLC and HPLC, the differing result interpretations, and the minimal concentration of active compounds that vary in different pharmacopeias worldwide. Therefore, there is still the need to establish a unified set of guidelines for chemical analysis of botanical species. Despite these limitations, chemical methods remain valuable when used alongside other authentication techniques, such as morphological analysis, to improve the reliability and accuracy of plant species authentication [109]. However, they may still fall short in some cases. For instance, in Glycyrrhiza species (licorice) both chemical and morphological characters are insufficient for correct identification [110]. Therefore, molecular markers, such as DNA sequencing, are increasingly used for accurate identification of Glycyrrhiza species [111, 112]. In such cases, DNA‐based methods become essential, providing species‐level identification and ensuring the authenticity of herbal plants and products where both morphological and chemical approaches fall short.
4. DNA Barcoding: Advantages and Applications in Species Identification
Chemical profiling and morphological characters are not always sufficient for accurate taxonomic identification because chemical compounds can also differ due to many nongenetic factors, such as climate, time of harvest, and postharvesting processing and morphology are not helpful if the plant part lacks the key characteristic or are provided as powdered or processed plant products [113, 114]. The development of numerous molecular methods that produce molecular markers has made it feasible to recognize plants with accuracy. These methods either take advantage of variations at the level of DNA or the protein that it codes for. Therefore, when other methods are insufficient, a molecular test is the most effective approach for overcoming the challenges of traditional taxonomy [115, 116, 117, 118, 119].
4.1. Established Methods for DNA Fingerprinting and DNA Barcoding
Various molecular approaches, such as DNA fingerprinting (also known as DNA profiling), have been developed to investigate genetic diversity in plants [99]. DNA fingerprinting involves analyzing the size differences of DNA fragments. Restriction fragment length polymorphism (RFLP) [120], random amplified polymorphic DNA (RAPD) [121], amplified fragment length polymorphism (AFLP) [122], simple sequence repeats (SSR) [123], and inter–simple sequence repeats (ISSR) [124] are other techniques used in this context [125]. The advantages of fingerprinting include low cost and the absence of a need for a reference sequence of the target species. However, DNA fingerprinting is generally less effective for plant authentication due to the high level of genetic variability and complexity within plant species.
DNA barcoding and genome sequencing are powerful tools in molecular biology, each suited to different purposes and applications. DNA barcoding involves sequencing a short, standardized region of the genome for species identification, making it a rapid, cost‐effective, and simple method ideal for taxonomy and industrial settings such as food quality control and environmental monitoring [16, 17, 126, 127, 128, 129, 130, 131]. DNA barcoding can investigate a single region or multiregion sequences [132]. In contrast, genome sequencing provides comprehensive genetic information by determining the complete DNA sequence of an organism [133, 134, 135, 136]. Genome sequencing is more suitable for primary research, clinical applications, and detailed genetic studies due to its depth of information and resolution, requiring significant computational resources and expertise.
Compared to other identification methods, DNA barcoding offers several advantages. It enables standardized identification for various fields such as biomedicine, agriculture, environmental testing, and endangered species management [97, 137, 138, 139, 140]. Additionally, practical applications of DNA barcoding include biosecurity, disease vector monitoring, law enforcement, and primatology [141, 142, 143]. Taxonomists can usually recognize the majority of organisms they are familiar with, but a constantly expanding community needs taxonomic data for a wide variety of taxa. DNA barcoding also alleviates the identification burden on taxonomists, allowing them to focus on defining taxa, resolving relationships, and discovering new species [140, 144]. Thus, DNA barcoding, widely regarded as a groundbreaking taxonomic tool, may be the most reliable framework currently available for classifying specimens and specimen‐based data in systematic research [145]. To support this, various databases of DNA barcode sequences have been established, with GenBank and the Barcode of Life Data System (BOLD) providing key repositories for these sequences [146]. Other well‐established databases include the Chinese Herbal Medicine DNA Barcode Identification System [147] and the DNA Barcode Research Center in Canada (CCDB) [148]. For plants, a sequence dataset of the nuclear ribosomal internal transcribed spacer (PLANiTS) has also been established [149].
In DNA barcoding, sequences of DNA amplicons are compared to a reference library for species identification, but this process can be challenging if reference sequences are unavailable. The method's accuracy and effectiveness rely heavily on the availability and comprehensiveness of these reference libraries. However, to enhance the robustness and reliability of DNA barcoding, there is a pressing need for expanding even more reference libraries. By increasing the number of species represented and the quality of the reference sequences, we can improve the precision of species identification. The Darwin Tree of Life Project [150] is already making significant strides in this area, contributing with valuable sequences to the existing libraries/databases. The British Pharmacopoeia catalogs DNA barcodes for several species prone to adulteration. For example, Tribulus terrestris , a commonly traded stimulant and food additive in Europe and the USA, is often substituted with other species within the same genus. Anethum graveolens is frequently used as an adulterant for Foeniculum vulgare . Similarly, Glehnia littoralis , a wild and threatened species, is frequently substituted with unrelated species. Ocimum tenuiflorum (Tulsi) also faces adulteration issues, with substitutions from other species within its genus [151, 152, 153, 154, 155].
DNA barcoding uses standard genetic markers or “barcoding regions” that can be used as single‐locus barcodes and multiple‐locus barcodes [156, 157, 158, 159]. The maturase K (matK), large subunit of ribulose 1,5 bisphosphate carboxylase (rbcL), intergenic spacer region of trnH and photosystem II protein D1(trnH‐psbA), and internal transcribed spacer (ITS) are some of the commonly used single locus barcodes [114]. Numerous plastid locus combinations, such as rbcL + psbA‐trnH [160], polymerase gamma subunit rpoC1 + polymerase β subunit (rpoB) + matK or rpoC1 + matK + trnH‐psbA [161], and matK + ATP synthase subunit b‐delta (atpF‐H) + psbK‐psbI or matK + atpF‐H + trnH‐psbA have been proposed as multi‐locus barcodes [11, 162], when a single locus was found to be insufficient for discriminating between plants.
DNA barcoding is also useful in cases involving cryptic species and phenotypic plasticity. It offers a cost‐effective, faster, and more accurate method for species identification and can be used at any life stage. For a description of methodologies, refer to the papers by Sgamma et al. [97] and Howard et al. [140].
4.2. Recent Developments in Plant DNA Barcoding
DNA barcoding has become a crucial tool for species identification, with recent advancements significantly enhancing its effectiveness and applications in plant taxonomy. Notable developments include high‐resolution melting (HRM) curve analysis combined with barcoding (Bar‐HRM), DNA mini‐barcoding, and DNA meta‐barcoding [24, 163, 164, 165, 166, 167].
HRM technology has been combined with DNA barcoding, resulting in the development of Bar‐HRM technology [123, 163]. The principle behind HRM is based on monitoring the change in fluorescence of a double‐stranded DNA‐binding dye as the temperature is increased. As the temperature rises, the double‐stranded DNA denatures (separates into single strands). When this process happens, the fluorescence decreases. The temperature at which half of the DNA molecules are denatured is called the melting temperature (Tm). By monitoring the change in fluorescence, HRM can detect differences in the melting behavior which is characteristic of nucleic acid sequences [168]. The fluorescence of the DNA‐binding dye is continuously monitored in real time using a specialized instrument called real‐time PCR machine. The data obtained from HRM are analyzed using specialized software that analyses the shape of the melting curves and identifies any differences or mutations present in the samples. This analysis is usually qualitative (detecting the presence or absence of mutations). This approach does not require sequence‐specific probes, enabling the utilization of various DNA barcodes such as rbcL, matK, trnH‐psbA, rpoC, and ITS for species identification [164]. There are, of course, some limitations to this approach, such as the potential difficulty in detecting closely related species with minimal genetic variability. Additionally, the strategy must be tailored to each plant or species, requiring the design of specific primers based on available sequences. Factors like amplicon size, G/C content, and primer design are also crucial for the accurate and reliable detection of nucleic acid sequence variations. Despite this, numerous studies have provided evidence for the efficacy of combining HRM analysis with DNA barcoding in the identification of various plant species, including those of significant economic value and those utilized in traditional medicine [164, 169, 170, 171]. For instance, Zhang et al. [172] successfully employed HRM analysis to distinguish between different species of ginseng (Panax spp.), renowned for their medicinal properties. Additionally, other studies showed how Bar‐HRM can be used with herbal products to detect low amounts of toxic medicinal materials in mixed samples [172, 173]. For instance, Singtonat and Osathanunkul [174] show the detection of the hepatotoxic Crotalaria spectabilis in Thunbergia laurifolia products using four BAR‐HRM primers designed on rbcL, rpoC, and trnL. Another study showed that BAR‐HRM was effective in identifying Hebanthe eriantha and Pfaffia glomerata, which are commonly grouped under the name “Brazilian Ginseng” [173].
When working with herbal products one of the main challenges is the extraction of good‐quality DNA as this can be degraded during the manufacturing process, resulting in failed amplification for standard barcodes [175]. In cases where full‐length barcodes may deteriorate, shorter versions of barcodes, known as mini‐barcodes, are utilized [33, 103, 123, 140, 163, 176, 177, 178, 179]. Therefore, DNA mini‐barcoding targeting and amplifying smaller DNA segments overcomes the issue of DNA degradation. Mini‐barcodes typically amplify 200 base pairs or less in length and can be amplified more quickly than standard barcodes. Due to their shorter amplicon length, mini‐barcodes exhibit a higher success rate in PCR amplification [130, 180]. However, the length limitation of mini‐barcodes becomes a challenge when a natural herbal product contains more species. Additionally, assembling a single sequence from mini‐barcode fragments can be difficult, and the presence of volatile mutation spots further complicates the identification process. Nevertheless, mini‐barcodes have proven valuable for differentiating closely related species using nucleotide signatures and stable single nucleotide polymorphism (SNP) locations. Although DNA mini‐barcoding offers certain advantages, it also has some drawbacks that need to be considered, including challenges in certain closely related species differentiation, the absence of a reference database, multiplexing difficulties, and limited phylogenetic information [175, 181].
An example displaying the use of mini‐barcodes for differentiating closely related plant species using stable SNP locations is orchids. Orchids are known for their high species diversity and challenging taxonomy due to subtle morphological differences. Mini‐barcodes, such as the ITS2 region, have been successfully used to distinguish closely related orchid species, facilitating conservation efforts and identifying potential new species [182]. Similarly, differentiating between species of ginseng, such as P. ginseng (Asian ginseng) and P. quinquefolius (American ginseng), can be challenging due to their morphological similarities [49, 65]. Mini‐barcodes combined with SNP analysis have been employed to accurately distinguish valuable medicinal herbs [183, 184, 185]. The use of mini‐barcodes and SNP analysis has proven to be effective in resolving taxonomic uncertainties and providing valuable insights for conservation, medicinal, and agricultural purposes.
All the above molecular techniques are subject to practical limitations as they mostly apply to single‐ingredient herbal preparations. DNA meta‐barcoding has emerged as a powerful technique to analyze complex samples containing DNA of different origins using High Throughput Sequencing methods [167, 186, 187, 188]. Meta‐barcoding allows for the simultaneous amplification of multiple DNA barcodes using universal PCR primers, enabling the analysis of species richness and composition in environmental samples [189, 190, 191]. This technique has facilitated ecological studies, including investigations into community composition changes in response to environmental factors [192, 193]. However, DNA meta‐barcoding presents challenges in taxonomic classification [194, 195]. Assigning correct taxonomic names to collected DNA sequences can be complex, especially when considering variations in amplified fragment length. Additionally, meta‐barcoding, like DNA barcoding, still needs to rely on the presence of quality reference databases on which to base identifications, and often, sequences deposited in GenBank are not rigorously checked [187, 196, 197]. Meta barcoding requires some specifications in terms of locus selection to capture species‐level resolution in different taxa targeting, for instance, multiple loci that will then be analyzed independently before being combined to produce a list of likely plants in the sample analyzed [197, 198]. Metabarcoding is also similar to the traditional DNA barcoding technique for the requirement of the whole barcode region to be present and not degraded.
DNA metabarcoding has been applied in the authentication of many herbal products. For instance, Frigerio et al. [199] used a multimarker approach to identify herbal tea composition. They analyzed 15 commercial tea products focusing on two barcode regions: the nuclear ITS2 and, the plastidial intergenic spacer psbA‐trnH. Additionally, they created six mock mixtures of plants in the laboratory starting both from raw plants (biomass) and genomic DNA (gDNA) to evaluate the quantitative ability of HTS. Howard et al. [176] used meta‐barcoding to detect H. perforatum DNA sequences in processed medicines. Out of 20 different matrices tested, the assay confirmed that H. perforatum was the major species in all positive samples, although trace contaminants were also detected. This study also highlighted another issue related to meta‐barcoding, that is, the need for high‐level analytical skills, which makes this technique more suitable for primary research rather than for industrial quality control. Furthermore, Raclariu et al. [186] stated that, although meta‐barcoding is a valid technique to identify each single species within complex multi‐ingredient and processed mixtures simultaneously when concerning quality control of herbal products, other techniques should be used to obtain quantitative and qualitative information of active metabolites. Therefore, from a pharmacognosy and pharmacovigilance point of view, a combination of analytical methods is the best route for products quality control products [186].
The United States Pharmacopeial Convention recommends the use of DNA barcoding for the identification of botanical species but emphasizes its conjunction with chemical or botanical methods. Industrial Quality Assurance/Quality Control (QA/QC) regulatory bodies often have limited choices for quality tests, such as molecular‐marked‐based tests like DNA barcoding and chemical analyses [97]. Among these methods, even DNA barcoding requires high‐quality DNA [171]. In many cases, degradation of DNA is unavoidable due to processing with large amounts of solvent and exposure to excessive heat and pressure, as HMP extracts aim to concentrate the maximum amount of active medicinal plant principles. This can result in “false negatives.” Moreover, since HMPsare primarily used for their therapeutic effects, which are mediated by their chemical constituents, relying solely on DNA methods in QA/QC may not be sufficient, as they cannot determine or certify the qualitative and quantitative chemical profile. Additionally, substitution with unauthorized plant parts is a concerning/prevailing practice in the HMP industry, presenting a potential threat to consumers due to variations in content and overall pharmacological activity of the medicinal plant parts. This issue remains unaddressed when DNA barcoding is the sole method of testing.
5. The Complexity of Authenticating HMPS and the Potential of an Orthogonal Approach
DNA barcoding has shown promise as an effective tool for identifying plant species, it is not without its limitations, especially when it comes to detecting adulteration. To ensure a robust and comprehensive authentication process, a combination of diverse techniques is imperative (Figure 3). In recent years, researchers and experts have emphasized the necessity of adopting an orthogonal approach toward HMP authentication [28, 29, 44, 200, 201, 202, 203, 204]. One such approach is the integration of chemical testing methods, including chromatography, spectrometry, and spectroscopy, which provide a broader scope by assessing the pharmacologically active compounds within a plant [205]. Although DNA barcoding is highly effective at confirming species identity, especially in the early stages of the screening process, it can be compromised by extensive product processing, substitution with different plant parts, or harvesting at an improper growth stage [206]. In contrast, chemical analyses focus on the quality and quantity of bioactive components, ensuring the plant's therapeutic potential. However, chemical testing alone may fail to reveal the true botanical identity if the substituted species contains similar compounds as shown in Figure 3. By using different methods, a comprehensive and reliable authentication regime is established, ensuring the botanical and chemical integrity of herbal products (Figure 4). This dual approach is particularly important in cases of species substitution, as some incorrect species may still contain minimal amounts of active chemical markers, leading to misleading results (Figure 3).
FIGURE 3.

An exemplary situation of whether and when an orthogonal approach is needed.
FIGURE 4.

Complementary scenario where genetic (DNA) and chemical‐based interventions and methods help in an orthogonal approach of herbal medicinal plants and HMP authentication. (Conc. = concentration).
The works of Palhares et al. [205, 206], Sgamma et al. [97], and Raclariu et al. [186] have underlined the importance of employing multiple techniques to achieve accurate results. Studies listed in Table 2 illustrate where the synergy between DNA barcoding and chemical fingerprinting methods is used for plant authentication. Additionally, scenarios are discussed below where orthogonal approaches are effectively utilized.
TABLE 2.
Utilization of orthogonal approaches for authenticating HMPs and products in various studies.
| Species name | Part used | Barcode loci and DNA technique | Analytical technique/s | Reference |
|---|---|---|---|---|
| DNA barcoding and chromatography techniques | ||||
| Hamamelis virginiana | Leaves | matK, rbcL, and ITS2 | TLC and HPLC | Palhares et al. [205] |
| Matricariarecutita | Flowers | |||
| Maytenusilicifolia | Leaves | |||
| Mikania glomerata | Leaves | |||
| Panax ginseng | Roots | |||
| Passiflora incarnata | Leaves | |||
| Peumus boldus | Leaves | |||
| Valeriana officinalis | Roots | |||
| Cinchona species | Bark | rbcL and matK | HPLC | Palhares et al. [206] |
| Angelica dahurica | Roots | ITS | GC | Tabanca et al. [207] |
| Angelica pubescentis | Roots | ITS | GC | Tabanca et al. [207] |
| Phellodendronspecies | Bark | trnH‐psbA and ITS | HPLC | Zhang et al. [208] |
| Curcuma longa | Rhizomes | rbcL, matK, and ITS | HPLC | Duan et al. [209] |
| Glycyrrhiza species | Rhizomes and roots | ITS and trnH‐psbA | HPTLC | Frommenwiler et al. [210] |
| Eurycoma longifolia | Roots | rbcL and ITS2 | HPLC | Abubakar et al. [211] |
| Panax notoginseng | Roots | ITS2 | HPLC | Yang et al. [212] |
| Panax vietnamensisvar. Fuscidicus | Roots | |||
| Echinacea species | Roots | ITS1, ITS2, and metabarcoding | HPTLC | Raclariu et al. [213] |
| Aristolochia species | Roots | rbcL, matK, ITS2, and trnH‐psbA | HPTLC | Dechbumroong et al. [214] |
| Galphimia glauca | Leaves | matK, rbcL, rpoC1, psbA‐trnH, ITS1, and ITS2 | TLC | Gesto‐Borroto et al. [215] |
| Pueraria montana var. lobata | Roots | ITS2 | TLC, HPLC | Zhang et al. [216] |
| Cyanthillium cinereum | Whole plant | rbcL, matK, ITS, and psbA‐trnH | HPTLC | Thongkhao et al. [217] |
| Arnebia decumbens | Roots | ITS2 | HPLC | Xu et al. [218] |
| Arnebiaeuchroma | Roots | |||
| Arnebia guttata | Roots | |||
| Mallotusrepandus | Stem | rbcL, matK, ITS, trnH‐psbA, and Bar‐HRM | HPTLC | Thongkhao et al. [219] |
| Matricariarecutita | Flowers | rbcL, matK, trnH‐psbA, ITS, and ITS2 | HPTLC | Mahgoub et al. [81] |
| Mucuna species | Seeds | ITS2 | HPLC | Intharuksa et al. [220] |
| DNA barcoding and spectroscopy techniques | ||||
| Crataegus species | Leaves | rbcL, matK, psbA‐trnH, and ITS2 | NMR spectroscopy | Zarrei et al. [221] |
| Saracaasoca | Bark | psbA‐trnH and rbcL | NMR spectroscopy | Urumarudappa et al. [222] |
| Hippophae species | Fruits | ITS2 and trnH‐psbA | NMR spectroscopy | Liu et al. [223] |
| Garcinia species | Fruits | ITS, psbA‐trnH, and rbcL | NMR spectroscopy | Seethapathy et al. [224] |
| Periploca indica | Roots | rbcL, matK, and genome skimming | NMR spectroscopy | Kesanakurti et al. [225] |
| Smilax species | Roots | |||
| Atractylodes species | Rhizomes | ITS | NMR spectroscopy | Shirahata et al. [226] |
| Rauvolfia caffra | Bark | rbcL and matK | NMR spectroscopy | Chipiti et al. [227] |
| DNA barcoding and spectrometry techniques | ||||
| Echinacea purpurea | Different parts | rbcL (Sanger sequencing), ITS2 (Sanger + NGS) | Q‐TOF‐MS (coupled with HPLC) | Ivanova et al. [228] |
| Valeriana officinalis | ||||
| Ginkgo biloba | ||||
| Hypericum perforatum | ||||
| Trigonella foenum‐graecum | ||||
| Vanilla species | Seeds pods | psaB gene (not to be confused with psbA) | Stable isotope ratio mass spectrometry (sIRMS) | Geißler et al. [229] |
| Citrus reticulata | Dried Pericarp | ITS2 | Q‐TOF‐MS (coupled with LC) | Li et al. [230] |
| Lepidium meyenii | Roots | trnL, ITS2, psbA, and matK | Flow injection mass spectrometry (FIMS) | Geng et al. [231] |
| DNA barcoding and hyphenated techniques or combinations | ||||
| Cistanchedeserticola | Succulent stems | ITS and ITS2 | UPLC‐QTOF‐MS | Zheng et al. [232] |
| Cistanchetubulosa | Succulent stems | |||
| Ocimumbasilicum | Leaves | rbcL and matK | GC‐MS | Elansary and Mahmoud [233] |
| Aristolochiaceae family members | Different parts | ITS2, psbA‐trnH (+ RT‐PCR assay) | UHPLC‐HR‐MS | Dechbumroong et al. [214] |
| Actaea racemosa | Root, underground stem | ITS and trnH‐psbA | MS and NMR | Harnly et al. [234] |
| Rhodiola species | Root | ITS2 | HPTLC and NMR | Booker et al. [235] |
| Veronica officinalis | Aerial parts | ITS, ITS2, and metabarcoding | HPLC‐MS | Raclariu et al. [236] |
| H. perforatum | Flowers and leaves | ITS and metabarcoding | TLC and HPLC‐MS | Raclariu et al. [237] |
| Glycyrrhiza species | Roots | ITS and trnV‐ndhC | 1‐D, 2‐D NMR, LC/UV, and LC/MS/MS | Song et al. [238] |
| Artemisia absinthium | Mixed part | matK, rbcL, trnL/IGS–intergenic spacer, trnL‐trnF, ycf1, ITS1, and ITS2 | GC–MS | Paranaiba et al. [239] |
| Stephania species | Root and rhizomes | ITS2 | HPLC‐QTOF‐MS/MS, and UHPLC‐DAD | Zhao et al. [240] |
| Asarum species | Root and rhizomes | ITS2 | GC‐MS | Yao et al. [241] |
| Gentiana macrophylla | Rhizomes | ITS2 | TOF‐MS and NMR | Li et al. [242] |
| Gentiana straminea | Rhizomes | |||
| Gentiana crassicaulis | Rhizomes | |||
| Gentiana dahurica | Rhizomes | |||
| Salvia subg. Perovskia | Roots and leaves | trnH‐psbA and ITS2 | UHPLC‐QTOF‐MS | Bielecka et al. [243] |
| Echinacea species | Root | Metabarcoding and genome skim | HPLC‐UV | Handy et al. [244] |
| Erythroxylumspecies | Bark and leaves | rbcL, matK, and trnH‐psbA | GC‐MS and NMR | Alberts and Meyer [245] |
| Crocus sativus | Stigma | rbcL | GC‐MS and ATR‐FTIR spectroscopy | Naim et al. [246] |
| Trillium govanianum | Rhizomes | rbcL, matK, ITS, and trnH‐psbA | HPTLC, LC‐MS, and NMR | Kumar et al. [247] |
5.1. Species Traceability at the Subspecies Level
Studies have shown that this approach is also effective when species traceability is complicated by adulterants or substitutes at the subspecies level, such as cultivars or varieties. For instance, although HPLC fingerprinting failed to differentiate between species of Phellodendron (e.g., P. amurense , P. chinense , and P. chinense var. glabriusculum) at the variety level, DNA barcoding using markers such as trnH‐psbA and ITS successfully distinguished between these botanical species commonly used in Traditional Chinese Medicine (TCM) [208].
5.2. Addressing Discrepancies in Pharmacopeias
Another important aspect of utilizing this approach is its significance at a global level, where only specific species or varieties are listed in national pharmacopeias. For instance, whereas Korean, Chinese, and European pharmacopeias regard all three commercial species of Glycyrrhiza ( G. glabra, G. uralensis , and G. inflata ) as licorice and use them in a replaceable manner, United States and Japanese pharmacopeias do not accept G. inflata as medicinal licorice and Indian pharmacopeia and traditional Indian medicinal systems like Ayurveda regard only G. glabra as medicinal species [203]. In such a scenario, species identity becomes integral, even when the chemical constitution is relatively similar. The labels in international marketspaces usually display only the popular name (licorice) or the binomial names without being checked by any botanical authority, the chances of species substitution increase significantly. However, employing the orthogonal approach in the analysis of 28 commercially available licorice samples revealed that HPTLC fingerprints had limited success in distinguishing the three species. In contrast, DNA barcoding effectively differentiated them based on distinct genotypes, utilizing well‐established plant barcodes like trnH‐psbA and ITS [210]. The safety net provided by DNA barcoding enhances the effectiveness of HPLC and HPTLC fingerprints in plant identification, establishing a clear and discrete authentication regime required for the concerned medicinal species [203]. Studies show that more advanced hyphenated methods like ultra‐high‐performance liquid chromatography (UHPLC)–UV show higher complementarity with DNA barcoding as they discriminate the three confusing species of Glycyrrhiza based on species‐specific metabolites and relative abundance of chalcones and flavones, proving the superiority of the orthogonal approach [208, 210].
5.3. Plant Identification Issues Arising From Migration and Globalization
The globalization of plants also involves the migration of seeds and plants, as well as the traditional knowledge of indigenous medicinal plants that accompanies the migration of people. These migrations in the last century have not only posed challenges for societies but have also exposed discrepancies between traditional and scientific nomenclature, which often go unnoticed [16, 154]. Such inconsistencies can create significant issues for quality control and consumer protection in importing countries. For example, seeds and plants of Ocimum tenuiflorium were brought to the UK from Africa and India. During this migration, O. tenuiflorium was replaced by O. gratissimum , leading to the cultivation of O. gratissimum by South Asian communities to alleviate symptoms related to Type 2 Diabetes. A study conducted at De Montfort University addressed this issue by developing DNA barcodes for O. tenuiflorium to distinguish it from other Ocimum species. This effort was further enhanced by incorporating chemical fingerprinting and morphological features, showcasing the successful application of an orthogonal approach to resolving identification challenges in herbal medicine [16, 154, 178].
Additionally, it is important to note that the orthogonal approach is most successful when carefully designed. When selecting chemical markers for analysis, several key points need to be considered regarding their specificity—whether they are unique to a particular species or common across a broader range of plants. It is essential to apply both qualitative and quantitative assessments to even specific chemical markers to ensure the bioactivity of the active components, which is the primary reason for using and consuming herbal plants and products. Furthermore, the complementarity of chemical methods with DNA barcoding depends on the specific objectives of the analysis. For instance, when evaluating raw drugs that claim to contain a specific chemical component, such as quinine (an antimalarial alkaloid) in Cinchona, a straightforward TLC and/or HPLC assay may be sufficient [248]. In contrast, when investigating the source of essential oils, such as those from Angelica dahurica and Angelica pubescentis, GC would serve as a better complement to DNA barcoding due to its ability to assess volatile compounds within the oils [207]. Thus, careful consideration of the specificity of markers, the application of both qualitative and quantitative assessments, and alignment of analytical methods with research objectives are critical for effective analysis.
The orthogonal approach should not be confined to industrial settings. Heinrich et al. [28, 29] emphasized that to ensure reproducibility and accurate interpretations of pharmacological, toxicological, and clinical/intervention studies involving botanicals, researchers should provide a botanical and morphological description of the starting botanical or herbal extracts used, alongside other chemical tests. Moreover, orthogonal approaches can be particularly valuable in resolving identification issues of plants that have migrated with people, ensuring that traditional and medicinal uses of these plants are accurately preserved and correctly identified in new environments. The Society for Medicinal Plant and Natural Product Research has established detailed requirements for the scientific study of medicinal plants, emphasizing the need for accurate identification and thorough documentation of plant starting materials. This guidance is designed not only for researchers but also for reviewers and editors assessing research for publication, ensuring that the findings are scientifically sound and reproducible [249].
In this review, we emphasize the importance of establishing more stringent benchmarks for plant identification. Given the persistent challenges in ensuring the quality, purity, and safety of plant materials, it is crucial to continually reassess and enhance authentication and quality assurance techniques. DNA‐based methods offer a valuable complement or alternative to traditional approaches, particularly when other methods prove unreliable. Implementing orthogonal strategies—such as combining chemical, botanical, morphological, and DNA‐based techniques—can significantly strengthen quality assurance, safeguarding the integrity of plant‐based research and products. Relying on a plethora of techniques, each providing unique insights, is essential to overcoming the limitations of any singular approach. By embracing an orthogonal approach that combines DNA barcoding, chemical fingerprinting, and other relevant authentication methods, we can achieve more accurate identification, ensure product quality, and support reliable and robust research outcomes in herbal medicine.
Acknowledgments
We would like to extend our sincere appreciation to the BBSRC (Biotechnology and Biological Sciences Research Council) and the Daphne Jackson Trust for their invaluable financial support, which played a pivotal role in facilitating the completion of this review paper.
Funding: This work was supported by the Daphne Jackson Trust and Biotechnology and Biological Sciences Research Council.
Data Availability Statement
The paper is a review of the literature as described in the introduction of the text. The original data used for making tables, figures, analysing data, discussion and conclusion is presented in the reference part of the manuscript.
References
- 1. https://www.fortunebusinessinsights.com/herbal‐medicine‐market‐106320, accessed August 21, 2023.
- 2. Bansal P., Maithani M., Gupta V., Kaur G., and Bansal R., “Chapter 21 ‐ Future Prospective of Nutraceutical and Functional Food With Herbs and Spices,” in Herbs, Spices and Their Roles in Nutraceuticals and Functional Foods, eds. Amalraj A., Kuttappan S., Karthak Verma A. C., and Matharu A. (Academic Press, 2023), 361–381, 10.1016/B978-0-323-90794-1.00015-6. [DOI] [Google Scholar]
- 3. Mrityunjay M., Pavithra V., Neelam R., Janhavi P., Halami P. M., and Ravindra P. V., “Immune‐Boosting, Antioxidant and Anti‐Inflammatory Food Supplements Targeting Pathogenesis of COVID‐19,” Frontiers in Immunology 11 (2020): 570122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Silveira D., Prieto‐Garcia J. M., Boylan F., et al., “COVID‐19: Is There Evidence for the Use of Herbal Medicines as Adjuvant Symptomatic Therapy?,” Frontiers in Pharmacology 11 (2020): 581840, 10.3389/fphar.2020.58184. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Demeke C. A., Woldeyohanins A. E., and Kifle Z. D., “Herbal Medicine Use for the Management of COVID‐19: A Review Article,” Metabolism Open 12 (2021): 100141, 10.1016/j.metop.2021.100141. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Rafiqul Islam A. T. M., Ferdousi J., and Shahinozzaman M., “Previously Published Ethno‐Pharmacological Reports Reveal the Potentiality of Plants and Plant‐Derived Products Used as Traditional Home Remedies by Bangladeshi COVID‐19 Patients to Combat SARS‐CoV‐2,” Saudi Journal of Biological Sciences 28, no. 11 (2021): 6653–6673, 10.1016/j.sjbs.2021.07.036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Al‐Kuraishy H. M., Al‐Fakhrany O. M., Elekhnawy E., et al., “Traditional Herbs Against COVID‐19: Back to Old Weapons to Combat the New Pandemic,” European Journal of Medical Research 27, no. 1 (2022): 186, 10.1186/s40001-022-0081. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Chebaibi M., Bousta D., Bourhia M., et al., “Ethnobotanical Study of Medicinal Plants Used Against COVID‐19,” Evidence‐Based Complementary and Alternative Medicine 2022 (2022): 2085297, 10.1155/2022/2085297. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Liana D. and Phanumartwiwath A., “Leveraging Knowledge of Asian Herbal Medicine and Its Active Compounds as COVID‐19 Treatment and Prevention,” Journal of Natural Medicines 76, no. 1 (2022): 20–37, 10.1007/s11418-021-01575-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Mlozi S. H., “The Role of Natural Products From Medicinal Plants Against COVID‐19: Traditional Medicine Practice in Tanzania,” Heliyon 8, no. 6 (2022): e09739, 10.1016/j.heliyon.2022.e09739. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Wang H., Chen Y., Wang L., Liu Q., Yang S., and Wang C., “Advancing Herbal Medicine: Enhancing Product Quality and Safety Through Robust Quality Control Practices,” Frontiers in Pharmacology 25, no. 14 (2023): 1265178, 10.3389/fphar.2023.1265178. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Heinrich M., “Quality and Safety of Herbal Medical Products: Regulation and the Need for Quality Assurance Along the Value Chains,” British Journal of Clinical Pharmacology 80, no. 1 (2015): 62–66, 10.1111/bcp.12586. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Chugh N. A., Bali S., and Koul A., “Integration of Botanicals in Contemporary Medicine: Road Blocks, Checkpoints and Go‐Ahead Signals,” Integrative Medicine Research 7, no. 2 (2018): 109–125, 10.1016/j.imr.2018.03.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Ghosh D., “Quality Issues of Herbal Medicines: Internal and External Factors,” International Journal on Complementary and Alternative Medicine 11, no. 1 (2018): 67–69. [Google Scholar]
- 15. Atanasov A. G., Waltenberger B., Pferschy‐Wenzig Linder T., et al., “Discovery and Resupply of Pharmacologically Active Plant‐Derived Natural Products: A Review,” Biotechnology Advances 33, no. 8 (2015): 1582–1614, 10.1016/j.biotechadv.2015.08.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Nazar N., Howard C., Slater A., and Sgamma T., “Challenges in Medicinal and Aromatic Plants DNA Barcoding—Lessons From the Lamiaceae,” Plants (Basel) 11, no. 1 (2022): 137, 10.3390/plants11010137. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Pauzi A., Muhammad N., Abdullah N., and Kamal N., “Current Authentication Methods of Herbs and Herbal Products: A Systematic Review,” Food Research 6 (2022): 455–465, 10.26656/fr.2017.6(4).468. [DOI] [Google Scholar]
- 18. Ganie S. H., Upadhyay P., Das S., and Prasad S. M., “Authentication of Medicinal Plants by DNA Markers,” Plant Gene 4 (2015): 83–99, 10.1016/j.plgene.2015.10.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Biswas K. and Biswas R., “DNA Molecular Markers Based Authentication of Herbal Drugs—A Review,” International Journal for Pharmaceutical Research Scholars V‐3 (2014): 581–593. [Google Scholar]
- 20. Herbal Authentication—Southern Cross University (scu.edu.au), accessed August 21, 2023.
- 21. Austen G. E., Bindemann M., Griffiths R. A., and Roberts D. L., “Species Identification by Experts and Non‐Experts: Comparing Images From Field Guides,” Scientific Reports 6 (2016): 33634. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Anywar G., Ohia C., and Nalumansi P. A., “Chapter 26 ‐ Traditional System of Medicines in Africa,” in Preparation of Phytopharmaceuticals for the Management of Disorders, eds. Egbuna C., Mishra A. P., and Goyal M. R. (Academic Press, 2021), 483–489, 10.1016/B978-0-12-820284-5.00008-3. [DOI] [Google Scholar]
- 23. Wäldchen J., Wittich H., Rzanny M., Fritz A., and Mäder P., “Towards More Effective Identification Keys: A Study of People Identifying Plant Species Characters,” People and Nature 4 (2022): 1603–1615, 10.1002/pan3:10405. [DOI] [Google Scholar]
- 24. Mahima K., Sunil Kumar K. N., Rakhesh K. V., Rajeswaran P. S., Sharma A., and Sathishkumar R., “Advancements and Future Prospective of DNA Barcodes in the Herbal Drug Industry,” Frontiers in Pharmacology 13 (2022): 947512, 10.3389/fphar.2022.947512. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. European Food Safety Authority , (2023), https://eur‐lex.europa.eu/legal‐content/EN/TXT/PDF/?uri=CELEX:32023R1536.
- 26. Ahmad A., Husain A., Mujeeb M., et al., “A Review on Therapeutic Potential of Nigella sativa: A Miracle Herb,” Asian Pacific Journal of Tropical Biomedicine 3, no. 5 (2013): 337–352, 10.1016/S2221-1691(13)60075. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Salmerón‐Manzano E., Garrido‐Cardenas J. A., and Manzano‐Agugliaro F., “Worldwide Research Trends on Medicinal Plants,” International Journal of Environmental Research and Public Health 17, no. 10 (2020): 3376, 10.3390/ijerph17103376. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Heinrich M., Barnes J., Prieto‐Garcia J., Gibbons S., and Williamson E. M., Fundamentals of Pharmacognosy and Phytotherapy: Fundamentals of Pharmacognosy and Phytotherapy E‐Book, 3rd ed. (Elsevier Health Sciences, 2017). [Google Scholar]
- 29. Heinrich M., Jalil B., Abdel‐Tawab M., et al., “Best Practice in the Chemical Characterisation of Extracts Used in Pharmacological and Toxicological Research—The ConPhyMP‐Guidelines,” Frontiers in Pharmacology 13 (2022): 953205, 10.3389/fphar.2022.953205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. WHO Global Report on Traditional and Complementary Medic , accessed March 15, 2021, https://apps.who.int/iris/rest/bitstreams/1217520/retrieve.
- 31. Kosoe E. A., Achana G. T. W., and Ogwu M. C., “Regulations and Policies for Herbal Medicine and Practitioners,” in Herbal Medicine Phytochemistry. Reference Series in Phytochemistry, eds. Izah S. C., Ogwu M. C., and Akram M. (Springer, Cham, 2024). [Google Scholar]
- 32. Tankeu S., Vermaak I., Chen W., Sandasi M., and Viljoen A., “Differentiation Between Two “fang ji” Herbal Medicines, Stephania tetrandra and the Nephrotoxic Aristolochia fangchi, Using Hyperspectral Imaging,” Phytochemistry 122 (2016): 213–222, 10.1016/j.phytochem.2015.11.008. [DOI] [PubMed] [Google Scholar]
- 33. Booker A., Agapouda A., Frommenwiler D. A., Scotti F., Reich E., and Heinrich M., “St John's Wort (Hypericum perforatum) Products—An Assessment of Their Authenticity and Quality,” Phytomedicine 40 (2018): 158–164, 10.1016/j.phymed.2017.12.012. [DOI] [PubMed] [Google Scholar]
- 34. Sgamma T., Masiero E., Mali P., Mahat M., and Slater A., “Sequence‐Specific Detection of Aristolochia DNA—A Simple Test for Contamination of Herbal Products,” Frontiers in Plant Science 9 (2018): 1828, 10.3389/fpls.2018.01828. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Zhang N., Erickson D. L., Ramachandran P., et al., “An Analysis of Echinacea Chloroplast Genomes: Implications for Future Botanical Identification,” Scientific Reports 7 (2017): 216, 10.1038/s41598-017-00321-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Gafner S., Blumenthal M., Foster S., Cardellina J. H., Khan I. A., and Upton R., “Botanical Ingredient Forensics: Detection of Attempts to Deceive Commonly Used Analytical Methods for Authenticating Herbal Dietary and Food Ingredients and Supplements,” Journal of Natural Products 86, no. 2 (2023): 460–472, 10.1021/acs.jnatprod.2c00929. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Bejar E., “Adulteration of English Lavender (Lavandula angustifolia) Essential Oil” (ABC‐AHP‐NCNPR, 2020), 1–11.
- 38. ABC‐AHP‐NCNPR , (2021), https://www.herbalgram.org/news/press‐releases/2021/elder‐berry‐adulteration‐documented‐by‐new‐bapp‐article/.
- 39. Foster S., Adulteration of Skullcap With American Germander (Austin, TX, USA: American Botanical Council, 2016). [Google Scholar]
- 40. Orhan N., Adulteration of Nigella ( Nigella sativa ) Seed and Seed Oil (Austin, TX, USA: American Botanical Council, 2022). [Google Scholar]
- 41. Black C., Haughey S. A., Chevallier O. P., Galvin‐King P., and Elliott C. T., “A Comprehensive Strategy to Detect the Fraudulent Adulteration of Herbs: The Oregano Approach,” Food Chemistry 210 (2016): 551–557, 10.1016/j.foodchem.2016.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Kumarsingh V., Mundkinajeddu D., Agarwal A., et al., Adulteration of Ashwagandha ( Withania somnifera ) Roots, and Extracts (Austin, TX, USA: American Botanical Council, 2019). [Google Scholar]
- 43. Bejar E., Adulteration of Turmeric ( Curcuma longa ) Root and Rhizome, and Root and Rhizome Extracts (Austin, TX, USA: American Botanical Council, 2018). [Google Scholar]
- 44. Upton R., David B., Gafner S., and Sabine G., “Botanical Ingredient Identification and Quality Assessment: Strengths and Limitations of Analytical Techniques,” Phytochemistry Reviews 19 (2020): 1157–1177, 10.1007/s11101-019-09625-z. [DOI] [Google Scholar]
- 45. Tam C. F., Peng Y., Liang Z. T., He Z. D., and Zhao Z. Z., “Application of Microscopic Techniques in Authentication of Herbal Tea—Ku‐Ding‐Cha,” Microscopy Research and Technique 69 (2006): 927–932. [DOI] [PubMed] [Google Scholar]
- 46. Au D. T., Chen H., Jiang Z., and Zhao Z., “A Novel Method to Identify the Chinese Herbal Medicine Wuzhimaotao by Quantification of Laticifers,” Microscopy Research and Technique 72 (2009): 293–298. [DOI] [PubMed] [Google Scholar]
- 47. Balekundri A. and Mannur V., “Quality Control of the Traditional Herbs and Herbal Products: A Review,” Future Journal of Pharmaceutical Sciences 6 (2020): 67, 10.1186/s43094-020-00091-5. [DOI] [Google Scholar]
- 48. Grazina L., Amaral J. S., and Mafra I., “Botanical Origin Authentication of Dietary Supplements by DNA‐Based Approaches,” Comprehensive Reviews in Food Science and Food Safety 19 (2020): 1080–1109, 10.1111/1541-4337.12551. [DOI] [PubMed] [Google Scholar]
- 49. Ichim M. C., Häser A., and Nick P., “Microscopic Authentication of Commercial Herbal Products in the Globalized Market: Potential and Limitations,” Frontiers in Pharmacology 11 (2020): 876, 10.3389/fphar.2020.00876. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Rawat M., Arunachalam K., Arunachalam A., Alatalo J. M., and Pandey R., “Assessment of Leaf Morphological, Physiological, Chemical and Stoichiometry Functional Traits for Understanding the Functioning of Himalayan Temperate Forest Ecosystem,” Scientific Reports 11, no. 1 (2021): 23807, 10.1038/s41598-021-03235-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Joharchi M. R. and Amiri M. S., “Taxonomic Evaluation of Misidentification of Crude Herbal Drugs Marketed in Iran,” Avicenna Journal of Phytomedicine 2, no. 2 (2012): 105–112. [PMC free article] [PubMed] [Google Scholar]
- 52. Burlou‐Nagy C., Bănică F., Jurca T., et al., “ Echinacea purpurea (L.) Moench: Biological and Pharmacological Properties. A Review,” Plants (Basel) 11, no. 9 (2022): 1244, 10.3390/plants11091244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Manayi A., Vazirian M., and Saeidnia S., “ Echinacea purpurea: Pharmacology, Phytochemistry and Analysis Methods,” Pharmacognosy Reviews 9, no. 17 (2015): 63–72, 10.4103/0973-7847.156353. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Aiello N., Marengo A., Scartezzini F., et al., “Evaluation of the Farming Potential of Echinacea angustifolia DC. Accessions Grown in Italy by Root‐Marker Compound Content and Morphological Trait Analyses,” Plants (Basel) 9, no. 7 (2020): 873, 10.3390/plants9070873. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. British Pharmacopoeia (Echinacea) Home—British Pharmacopoeia, accessed August 21, 2023.
- 56. Mistríková I. and Vaverková Š., “Morphology and Anatomy of Echinacea purpurea , E. angustifolia , E. pallida and Parthenium integrifolium ,” Biologia 62 (2007): 2–5, 10.2478/s11756-007-0006-7. [DOI] [Google Scholar]
- 57. Waidyanatha S., Pierfelice J., Cristy T., et al., “A Strategy for Test Article Selection and Phytochemical Characterization of Echinacea Purpurea Extract for Safety Testing,” Food and Chemical Toxicology 137 (2020): 111125, 10.1016/j.fct.2020.111125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Barnes J., Anderson L. A., Gibbons S., and Phillipson J. D., “ Echinacea Species ( Echinacea angustifolia (DC.) Hell., Echinacea pallida (Nutt.) Nutt., Echinacea Purpurea (L.) Moench): A Review of Their Chemistry, Pharmacology and Clinical Properties,” Journal of Pharmacy and Pharmacology 57, no. 8 (2005): 929–954, 10.1211/0022357056127. [DOI] [PubMed] [Google Scholar]
- 59. Länger R., “Anatomy of the Underground Parts of Four Echinacea‐Species and of Parthenium Integrifolium ,” Scientia Pharmaceutica 69, no. 3 (2001): 237–247, 10.3797/scipharm.aut-01-194. [DOI] [Google Scholar]
- 60. Mancuso C. and Santangelo R., “ Panax Ginseng and Panax quinquefolius: From Pharmacology to Toxicology,” Food and Chemical Toxicology 107 (2017): 362–372, 10.1016/j.fct.2017.07.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Szczuka D., Nowak A., Zakłos‐Szyda M., et al., “American Ginseng (Panax quinquefolium L.) as a Source of Bioactive Phytochemicals With Pro‐Health Properties,” Nutrients 11, no. 5 (2019): 1041, 10.3390/nu11051041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.British pharmacopeia (Ginseng) Home—Home—British Pharmacopoeia, accessed August 21, 2023.
- 63. Panax ginseng (Root)—AHPA Botanical Identity References Compendium (botanicalauthentication.org), accessed August 21, 2023.
- 64. Ichim M. C. and de Boer H. J., “A Review of Authenticity and Authentication of Commercial Ginseng Herbal Medicines and Food Supplements,” Frontiers in Pharmacology 11 (2021): 612071, 10.3389/fphar.2020.612071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Harnly J., Chen P., and Harrington P. B., “Probability of Identification: Adulteration of American Ginseng With Asian Ginseng,” Journal of AOAC International 96, no. 6 (2013): 1258–1265, 10.5740/jaoacint.13-290. [DOI] [PubMed] [Google Scholar]
- 66. Upton R., American Herbal Pharmacopoeia and Therapeutic Compendium: Dang Gui Root—Angelica sinensis (Oliv.) (Scotts Valley, CA: American Herbal Pharmacopoeia, 2003), 1–41. [Google Scholar]
- 67. Chinese Pharmacopoeia Commission , Pharmacopoeia of the People's Republic of China, ed. Chen Z. (Beijing: China Medical Science Press, 2015), 133–134. [Google Scholar]
- 68. Hook I. L., “Danggui to Angelica Sinensis Root: Are Potential Benefits to European Women Lost in Translation? A Review,” Journal of Ethnopharmacology 152, no. 1 (2014): 1–13, 10.1016/j.jep.2013.12.018. [DOI] [PubMed] [Google Scholar]
- 69. Zhou S. S., Xu J., Tsang C. K., et al., “Comprehensive Quality Evaluation and Comparison of Angelica sinensis Radix and Angelica acutiloba Radix by Integrated Metabolomics and Glycomics,” Journal of Food and Drug Analysis 26, no. 3 (2018): 1122–1137, 10.1016/j.jfda.2018.01.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Mei Z., Zhang C., Khan M. A., et al., “Efficiency of Improved RAPD and ISSR Markers in Assessing Genetic Diversity and Relationships in Angelica sinensis (Oliv.) Diels Varieties of China,” Electronic Journal of Biotechnology 18 (2015): 96–102. [Google Scholar]
- 71. Yuan Q. J., Zhang B., Jiang D., et al., “Identification of Species and Materia medica Within Angelica L. (Umbelliferae) Based on Phylogeny Inferred From DNA Barcodes,” Molecular Ecology Resources 15 (2015): 358–371. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Minami M., Tanaka R., Mori T., Fujii T., and Tsuchida T., “Identification of Angelica acutiloba, A. sinensis, and Other Chinese Medicinal Apiaceae Plants by DNA Barcoding,” Journal of Natural Medicines 78 (2024): 792–798. [DOI] [PubMed] [Google Scholar]
- 73. Dong T. T., Zhao K. J., Gao Q. T., et al., “Chemical and Biological Assessment of a Chinese Herbal Decoction Containing Radix astragali and Radix Angelicae sinensis: Determination of Drug Ratio in Having Optimized Properties,” Journal of Agricultural and Food Chemistry 54, no. 7 (2006): 2767–2774, 10.1021/jf053163l. [DOI] [PubMed] [Google Scholar]
- 74. Yi L., Liang Y., Wu H., and Yuan D., “The Analysis of Radix Angelicae sinensis (Danggui),” Journal of Chromatography. A 1216, no. 11 (2009): 1991–2001, 10.1016/j.chroma.2008.07.033. [DOI] [PubMed] [Google Scholar]
- 75. Chan P.‐L., Liu S., Low E.‐T., et al., “Molecular Authentication of the Traditional Chinese Medicinal Plant Angelica sinensis Based on Internal Transcribed Spacer of nrDNA,” Electronic Journal of Biotechnology 13 (2010): 13. [Google Scholar]
- 76. Zhang W. L., Zheng K. Y., Zhu K. Y., et al., “Chemical and Biological Assessment of Angelica Roots From Different Cultivated Regions in a Chinese Herbal Decoction Danggui Buxue Tang,” Evidence‐Based Complementary and Alternative Medicine 2013 (2013): 483286, 10.1155/2013/483286. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Wang X., Liu Y., Wang L., Jianping H., and Shilin C., “A Nucleotide Signature for the Identification of Angelicae Sinensis Radix (Danggui) and Its Products,” Scientific Reports 6 (2016): 34940, 10.1038/srep34940. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.British Pharmacopoeia (Angelica) Home—British Pharmacopoeia, accessed August 21, 2023.
- 79. Srivastava J. K., Shankar E., and Gupta S., “Chamomile: A Herbal Medicine of the Past With Bright Future,” Molecular Medicine Reports 3, no. 6 (2010): 895–901, 10.3892/mmr.2010.377. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80. Anheyer D., Frawley J., Koch A. K., et al., “Herbal Medicines for Gastrointestinal Disorders in Children and Adolescents: A Systematic Review,” Pediatrics 139, no. 6 (2017): e20170062, 10.1542/peds.2017-0062. [DOI] [PubMed] [Google Scholar]
- 81. Mahgoub Y. A., Shawky E., Eldakak M., et al., “Plant DNA Barcoding and Metabolomics for Comprehensive Discrimination of German Chamomile From Its Poisonous Adulterants for Food Safety,” Food Control 136 (2022): 108840, 10.1016/j.foodcont.2022.108840. [DOI] [Google Scholar]
- 82. Chauhan R., Singh S., Kumar V., et al., “A Comprehensive Review on Biology, Genetic Improvement, Agro and Process Technology of German Chamomile (Matricaria chamomilla L.),” Plants (Basel) 11, no. 1 (2021): 29, 10.3390/plants11010029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. Singh O., Khanam Z., Misra N., and Srivastava M. K., “Chamomile (Matricaria chamomilla L.): An Overview,” Pharmacognosy Reviews 5 (2011): 82–95, 10.4103/0973-7847.79103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84. Araya O. and Fuentealba I. C., “Chronic Hepato‐Toxicity of Senecio erraticus in Calves From Two 50‐Day Feeding Periods in Consecutive Years,” Veterinary and Human Toxicology 32, no. 6 (1990): 555–557. [PubMed] [Google Scholar]
- 85. Vuckovic I., Ljubodrag V., Vlatka V., Tešević V., Janackovic P., and Slobodan M., “Phytochemical Investigation of Anthemis cotula ,” Journal of the Serbian Chemical Society 71 (2006): 71–133. [Google Scholar]
- 86.British Pharmacopoeia (Chamomile) Home—British Pharmacopoeia, accessed August 21, 2023.
- 87. Ekar T. and Kreft S., “Common Risks of Adulterated and Mislabeled Herbal Preparations,” Food and Chemical Toxicology 123 (2019): 288–297, 10.1016/j.fct.2018.10.043. [DOI] [PubMed] [Google Scholar]
- 88. Okaiyeto K. and Oguntibeju O. O., “African Herbal Medicines: Adverse Effects and Cytotoxic Potentials With Different Therapeutic Applications,” International Journal of Environmental Research and Public Health 18, no. 11 (2021): 5988, 10.3390/ijerph18115988. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89. Chaachouay N. and Zidane L., “Plant‐Derived Natural Products: A Source for Drug Discovery and Development,” Drugs Drug Candi 3, no. 1 (2024): 184–207, 10.3390/ddc3010011. [DOI] [Google Scholar]
- 90. Smillie T. J. and Khan I. A., “A Comprehensive Approach to Identifying and Authenticating Botanical Products,” Clinical Pharmacology and Therapeutics 87, no. 2 (2010): 175–186, 10.1038/clpt.2009.287. [DOI] [PubMed] [Google Scholar]
- 91. Malik O. A., Ismail N., Hussein B. R., and Yahya U., “Automated Real‐Time Identification of Medicinal Plants Species in Natural Environment Using Deep Learning Models‐A Case Study From Borneo Region,” Plants (Basel) 11, no. 15 (2022): 1952, 10.3390/plants11151952. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92. Noshita K., Murata H., and Kirie S., “Model‐Based Plant Phenomics on Morphological Traits Using Morphometric Descriptors,” Breeding Science 72, no. 1 (2022): 19–30, 10.1270/jsbbs.21078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93. Kavitha S., Kumar T. S., Naresh E., Kalmani V. H., Bamane K. D., and Pareek P. K., “Medicinal Plant Identification in Real‐Time Using Deep Learning Model,” SN Computer Science 5 (2024): 73, 10.1007/s42979-023-02398-5. [DOI] [Google Scholar]
- 94. https://www.herbalgram.org/news/press‐releases/2024/abc‐s‐sustainable‐herb‐program‐begins‐new‐era‐as‐independent‐sustainable‐herbs‐initiative/.
- 95. British Pharmacopoeia Commission , Deoxyribonucleic Acid (DNA) Based Identification Techniques for Herbal Drugs. British Pharmacopoeia Appendix XI V (London: TSO, 2017). [Google Scholar]
- 96. British Pharmacopoeia Commission , DNA Barcoding as a Tool for Botanical Identification of Herbal Drugs (British Pharmacopoeia Supplementary Chapter SC VII D, London: TSO, 2017). [Google Scholar]
- 97. Sgamma T., Lockie‐Williams C., Kreuzer M., et al., “DNA Barcoding for Industrial Quality Assurance [Published Correction Appears in Planta Medica 2017 Dec;83(18):1430],” Planta Medica 83, no. 14–15 (2017): 1117–1129, 10.1055/s-0043-113448. [DOI] [PubMed] [Google Scholar]
- 98. Abbasi Tarighat M., Abdi G., Abbasi Tarighat F., and Shahmohammadi B. K., “Authentication and Identification of Lamiaceae Family With Cyclic Voltammetry Fingerprint‐PCA‐LDA and Determination of the Used Phenolic Contents for Classification Using Chromatographic Analyses,” Talanta 265 (2023): 124894. [DOI] [PubMed] [Google Scholar]
- 99. Zeng Z., Chau F. T., Chan H. Y., et al., “Recent Advances in the Compound‐Oriented and Pattern‐Oriented Approaches to the Quality Control of Herbal Medicines,” Chinese Medicine 3 (2008): 9, 10.1186/1749-8546-3-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100. Yongyu Z., Shujun S., Jianye D., et al., “Quality Control Method for Herbal Medicine—Chemical Fingerprint Analysis,” in Quality Control of Herbal Medicines and Related Areas, ed. Shoyama Y. (Croatia, Rijeka: InTech Croatia, 2011), 171–194, 10.5772/23962. [DOI] [Google Scholar]
- 101. Li S., Han Q., Qiao C., Song J., Lung Cheng C., and Xu H., “Chemical Markers for the Quality Control of Herbal Medicines: An Overview,” Chinese Medicine 3 (2008): 7, 10.1186/1749-8546-3-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102. Chledzik S., Strawa J., Matuszek K., and Nazaruk J., “Pharmacological Effects of Scutellarin, An Active Component of Genus Scutellaria and Erigeron: A Systematic Review,” American Journal of Chinese Medicine 46, no. 2 (2018): 319–337, 10.1142/S0192415X18500167. [DOI] [PubMed] [Google Scholar]
- 103. Gao R., Lou Q., Hao L., et al., “Comparative Genomics Reveal the Convergent Evolution of CYP82D and CYP706X Members Related to Flavone Biosynthesis in Lamiaceae and Asteraceae,” Plant Journal 109, no. 5 (2022): 1305–1318, 10.1111/tpj.15634. [DOI] [PubMed] [Google Scholar]
- 104. Ma B. L., Ma Y. M., Shi R., et al., “Identification of the Toxic Constituents in Rhizoma Coptidis,” Journal of Ethnopharmacology 128 (2010): 357–364. [DOI] [PubMed] [Google Scholar]
- 105. Tang J., Feng Y., Tsao S., Wang N., Curtain R., and Wang Y., “Berberine and Coptidis Rhizoma as Novel Antineoplastic Agents: A Review of Traditional Use and Biomedical Investigations,” Journal of Ethnopharmacology 126 (2009): 5–17. [DOI] [PubMed] [Google Scholar]
- 106. Monagas M., Brendler T., Brinckmann J., et al., “Understanding Plant to Extract Ratios in Botanical Extracts,” Frontiers in Pharmacology 13 (2022): 981978, 10.3389/fphar.2022.981978. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107. European Medicines Agency (EMA) , accessed July 15, 2023, https://www.ema.europa.eu/en/documents/annual‐report/annual‐report‐european‐medicines‐agency‐2008_en.pdf.
- 108. Ahmadi F., Kariman K., Mousavi M., and Rengel Z., “Echinacea: Bioactive Compounds and Agronomy,” Plants 13, no. 9 (2024): 1235, 10.3390/plants13091235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109. Prakash G., Shrestha A., Sandhya P., Bidur C., and Samir D., “Pharmacopoeial Comparison of In‐Process and Finished Product Quality Control Test for Pharmaceutical Tablets,” GSC Biological and Pharmaceutical Sciences 11 (2020): 155–165, 10.30574/gscbps.2020.11.3.0174. [DOI] [Google Scholar]
- 110. Chen J., Li L. F., Hu X. R., Wei F., and Ma S., “Network Pharmacology‐Based Strategy for Elucidating the Molecular Basis for the Pharmacologic Effects of Licorice (Glycyrrhiza spp.),” Frontiers in Pharmacology 12 (2021): 590477, 10.3389/fphar.2021.590477. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111. Liu Q., Guo S., Zheng X., et al., “Licorice Germplasm Resources Identification Using DNA Barcodes Inner‐Variants,” Plants (Basel) 10, no. 10 (2021): 2036, 10.3390/plants10102036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112. Li T., Qiao Z., Li M., et al., “Species Identification and Quality Evaluation of Licorice in the Herbal Trade Using DNA Barcoding, HPLC and Colorimetry,” International Journal of Food Properties 26, no. 1 (2022): 197–207, 10.1080/10942912.2022.2158861. [DOI] [Google Scholar]
- 113. Ghorbani A., Saeedi Y., and de Boer H. J., “Unidentifiable by Morphology: DNA Barcoding of Plant Material in Local Markets in Iran,” PLoS ONE 12, no. 4 (2017): e0175722, 10.1371/journal.pone.0175722. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114. Li Y., Kong D., Fu Y., Sussman M. R., and Wu H., “The Effect of Developmental and Environmental Factors on Secondary Metabolites in Medicinal Plants,” Plant Physiology and Biochemistry 148 (2020): 80–89, 10.1016/j.plaphy.2020.01.006. [DOI] [PubMed] [Google Scholar]
- 115. Hebert P. D., Cywinska A., Ball S. L., and deWaard J. R., “Biological Identifications Through DNA Barcodes,” Proceedings of the Biological Sciences 270, no. 1512 (2003): 313–321, 10.1098/rspb.2002.2218. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116. Mishra P., Kumar A., Nagireddy A., et al., “DNA Barcoding: An Efficient Tool to Overcome Authentication Challenges in the Herbal Market,” Plant Biotechnology Journal 14, no. 1 (2016): 8–21, 10.1111/pbi.12419. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117. Sheth B. P. and Thaker V. S., “DNA Barcoding and Traditional Taxonomy: An Integrated Approach for Biodiversity Conservation,” Genome 60, no. 7 (2017): 618–628, 10.1139/gen-2015-0167. [DOI] [PubMed] [Google Scholar]
- 118. Hebert P. D. N. and Gregory T. R., “The Promise of DNA Barcoding for Taxonomy,” Systematic Biology 54 (2005): 852–859. [DOI] [PubMed] [Google Scholar]
- 119. Hubert N. and Hanner R., “DNA Barcoding, Species Delineation and Taxonomy: A Historical Perspective,” DNA Barcodes 3, no. 1 (2015): 44–58. [Google Scholar]
- 120. Liu W. L., Shih H. C., Weng I. S., et al., “Characterization of Genomic Inheritance of Intergeneric Hybrids Between Ascocenda and Phalaenopsis Cultivars by GISH, PCR‐RFLP and RFLP,” PLoS ONE 11, no. 4 (2016): e0153512, 10.1371/journal.pone.0153512. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121. Arif I. A., Bakir M. A., Khan H. A., et al., “Application of RAPD for Molecular Characterization of Plant Species of Medicinal Value From an Arid Environment,” Genetics and Molecular Research 9, no. 4 (2010): 2191–2198, 10.4238/vol9-4gmr848. [DOI] [PubMed] [Google Scholar]
- 122. Lee C. L., Coyle H. M., and Lee H. C., “Genetic Analysis of Individual Seeds by Amplified Fragment Length Polymorphism,” Croatian Medical Journal 48, no. 4 (2007): 563–565. [PMC free article] [PubMed] [Google Scholar]
- 123. Zhu Y., Zhang X., Yan S., et al., “SSR Identification and Phylogenetic Analysis in Four Plant Species Based on Complete Chloroplast Genome Sequences,” Plasmid 125 (2023): 102670, 10.1016/j.plasmid.2023.102670. [DOI] [PubMed] [Google Scholar]
- 124. Luz G. C., Strioto D. K., Mangolin C. A., and Machado M. F. P. S., “ISSR Markers to Assess Genetic Diversity of Cultivated Populations From Artificial Selection of Stevia rebaudiana (Bert.) Bertoni,” Breeding Science 70, no. 4 (2020): 508–514, 10.1270/jsbbs.20014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125. Loera‐Sánchez M., Studer B., and Kölliker R., “DNA‐Based Assessment of Genetic Diversity in Grassland Plant Species: Challenges, Approaches, and Applications,” Agronomy 9 (2019): 881, 10.3390/agronomy9120881. [DOI] [Google Scholar]
- 126. Bell K. L., de Vere N., Keller A., et al., “Pollen DNA Barcoding: Current Applications and Future Prospects,” Genome 59, no. 9 (2016): 629–640, 10.1139/gen-2015-0200. [DOI] [PubMed] [Google Scholar]
- 127. Kress W. J., “Plant DNA Barcodes: Applications Today and in the Future,” Journal of Systematics and Evolution 55 (2017): 291–307, 10.1111/jse.12254. [DOI] [Google Scholar]
- 128. Nithaniyal S., Majumder S., Umapathy S., and Parani M., “Forensic Application of DNA Barcoding in the Identification of Commonly Occurring Poisonous Plants,” Journal of Forensic and Legal Medicine 78 (2021): 102126, 10.1016/j.jflm.2021.102126. [DOI] [PubMed] [Google Scholar]
- 129. Gostel M. R. and Kress W. J., “The Expanding Role of DNA Barcodes: Indispensable Tools for Ecology, Evolution, and Conservation,” Diversity 14, no. 3 (2022): 213, 10.3390/d14030213. [DOI] [Google Scholar]
- 130. Zhu S., Liu Q., Qiu S., Dai J., and Gao X., “DNA Barcoding: An Efficient Technology to Authenticate Plant Species of Traditional Chinese Medicine and Recent Advances,” Chinese Medicine 17, no. 1 (2022): 112, 10.1186/s13020-022-00655-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131. Antil S., Abraham J. S., Sripoorna S., et al., “DNA Barcoding, an Effective Tool for Species Identification: A Review,” Molecular Biology Reports 50, no. 1 (2023): 761–775, 10.1007/s11033-022-08015-7. [DOI] [PubMed] [Google Scholar]
- 132. Mishra P., Kumar A., Nagireddy A., Shukla A. K., and Sundaresan V., “Evaluation of Single and Multilocus DNA Barcodes Towards Species Delineation in Complex Tree Genus Terminalia ,” PLoS ONE 12, no. 8 (2017): e0182836, 10.1371/journal.pone.0182836. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133. Cheng Q. Q., Ouyang Y., Tang Z. Y., et al., “Review on the Development and Applications of Medicinal Plant Genomes,” Frontiers in Plant Science 12 (2021): 791219, 10.3389/fpls.2021.791219. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134. Yan K., Ran J., Bao S., et al., “The Complete Chloroplast Genome Sequence of Eupatorium fortunei: Genome Organization and Comparison With Related Species,” Genes (Basel) 14, no. 1 (2022): 64, 10.3390/genes14010064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135. Zhang N., Huang K., Xie P., et al., “Chloroplast Genome Analysis and Evolutionary Insights in the Versatile Medicinal Plant Calendula officinalis L,” Scientific Reports 14 (2024): 9662. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136. Hao D. C. and Xiao P. G., “Genomics and Evolution in Traditional Medicinal Plants: Road to a Healthier Life,” Evolutionary Bioinformatics Online 11 (2015): 197–212, 10.4137/EBO.S31326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137. Muhammad Tahir H. and Akhtar S., “Services of DNA Barcoding in Different Fields,” Mitochondrial DNA Part a DNA Mapping, Sequencing, and Analysis 27, no. 6 (2016): 4463–4474, 10.3109/19401736.2015.1089572. [DOI] [PubMed] [Google Scholar]
- 138. Yang F., Ding F., Chen H., et al., “DNA Barcoding for the Identification and Authentication of Animal Species in Traditional Medicine,” Evidence‐Based Complementary and Alternative Medicine 2018 (2018): 5160254, 10.1155/2018/5160254. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139. Ficetola G. F., Coissac E., Zundel S., et al., “An in Silico Approach for the Evaluation of DNA Barcodes,” BMC Genomics 11 (2010): 434, 10.1186/1471-2164-11-434. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140. Howard C., Lockie‐Williams C., and Slater A., “Applied Barcoding: The Practicalities of DNA Testing for Herbals,” Plants (Basel) 9, no. 9 (2020): 1150, 10.3390/plants9091150. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141. Besansky N. J., Severson D. W., and Ferdig M. T., “DNA Barcoding of Parasites and Invertebrate Disease Vectors: What You Don't Know Can Hurt You,” Trends in Parasitology 19, no. 12 (2003): 545–546. [DOI] [PubMed] [Google Scholar]
- 142. Armstrong K. F. and Ball S. L., “DNA Barcodes for Biosecurity: Invasive Species Identification,” Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 360, no. 1462 (2005): 1813–1823. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143. Lorenz J. G., Jackson W. E., Beck J. C., and Hanner R., “The Problems and Promise of DNA Barcodes for Species Diagnosis of Primate Biomaterials,” Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 360, no. 1462 (2005): 1869–1877, 10.1098/rstb.2005.1718. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144. Cao X., Liu J., Chen J., Zheng G., Kuntner M., and Agnarsson I., “Rapid Dissemination of Taxonomic Discoveries Based on DNA Barcoding and Morphology,” Scientific Reports 6 (2016): 37066, 10.1038/srep37066. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145. DeSalle R. and Goldstein P., “Review and Interpretation of Trends in DNA Barcoding,” Frontiers in Ecology and Evolution 7 (2019): 302. [Google Scholar]
- 146. Ratnasingham S. and Hebert P. D., “The Barcode of Life Data System (http://www.barcodinglife.org),” Molecular Ecology Notes 7, no. 3 (2007): 355–364, 10.1111/j.1471-8286.2007.01678.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147. Gong L., Qiu X. H., Huang J., et al., “Constructing a DNA Barcode Reference Library for Southern Herbs in China: A Resource for Authentication of Southern Chinese Medicine,” PLoS ONE 13, no. 7 (2018): e0201240, 10.1371/journal.pone.0201240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148. Consortium for the Barcode of Life , (n.d.), National Museum of Natural History, Smithsonian Institution (Washington, DC 20013–7012, USA), https://www.ibol.org/phase1/cbol/.
- 149. Elisa B., Claudio G. A., Samuele G., David S., Lucia M., and Alberto P., “PLANiTS: A Curated Sequence Reference Dataset for Plant ITS DNA Metabarcoding,” Database 2020 (2020): baz155, 10.1093/database/baz155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150. Darwin Tree of Life Project , “Wellcome Sanger Institute,” https://www.sanger.ac.uk/collaboration/darwin‐tree‐of‐life‐project/.
- 151. Balasubramani S. P., Murugan R., Ravikumar K., and Venkatasubramanian P., “Development of ITS Sequence Based Molecular Marker to Distinguish, Tribulus terrestris L. (Zygophyllaceae) From ITS Adulterants,” Fitoterapia 81, no. 6 (2010): 503–508, 10.1016/j.fitote.2010.01.002. [DOI] [PubMed] [Google Scholar]
- 152. Ma X. D., Mao W. W., Zhou P., Li P., and Li H. J., “Distinguishing Foeniculum Vulgare Fruit From Two Adulterants by Combination of Microscopy and GC‐MS Analysis,” Microscopy Research and Technique 78, no. 7 (2015): 633–641, 10.1002/jemt.22523. [DOI] [PubMed] [Google Scholar]
- 153. Zhu X., Zhang Y., Liu X., Hou D., and Gao T., “Authentication of Commercial Processed Glehniae Radix (Beishashen) by DNA Barcodes,” Chinese Medicine 30, no. 10 (2015): 35, 10.1186/s13020-015-0071-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154. Bhamra S. K., Heinrich M., Johnson M. R. D., Howard C., and Slater A., “The Cultural and Commercial Value of Tulsi (Ocimum Tenuiflorum L.): Multidisciplinary Approaches Focusing on Species Authentication,” Plants (Basel) 11, no. 22 (2022): 3160, 10.3390/plants11223160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155. British Pharmacopoeia , “SC VII D. DNA Barcoding as a Tool for Botanical Identification of Herbal Drugs,” In British Pharmacopoeia.
- 156. Hollingsworth P. M., Graham S. W., and Little D. P., “Choosing and Using a Plant DNA Barcode,” PLoS ONE 6, no. 5 (2011): e19254, 10.1371/journal.pone.0019254. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157. Blaxter M., “Counting Angels With DNA,” Nature 421, no. 6919 (2003): 122–123. [DOI] [PubMed] [Google Scholar]
- 158. Yao H., Song J., Liu C., et al., “Use of ITS2 Region as the Universal DNA Barcode for Plants and Animals,” PLoS ONE 5, no. 10 (2010): e13102, 10.1371/journal.pone.0013102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159. Li X., Yang Y., Henry R. J., Rossetto M., Wang Y., and Chen S., “Plant DNA Barcoding: From Gene to Genome,” Biological Reviews of the Cambridge Philosophical Society 90, no. 1 (2015): 157–166, 10.1111/brv.12104. [DOI] [PubMed] [Google Scholar]
- 160. Kress W. J. and Erickson D. L., “A Two‐Locus Global DNA Barcode for Land Plants: The Coding rbcL Gene Complements the Non‐Coding trnH‐psbA Spacer Region,” PLoS ONE 2, no. 6 (2007): e508, 10.1371/journal.pone.0000508. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161. Chase M., Cowan R., Hollingsworth P., et al., “A Proposal for a Standardised Protocol to Barcode all Land Plants,” Taxon 56 (2007): 295–299, 10.1002/tax.562004. [DOI] [Google Scholar]
- 162. Umdale S. D., Kshirsagar P. R., Lekhak M. M., and Gaikwad N. B., “Molecular Authentication of the Traditional Medicinal Plant “Lakshman Booti” (Smithia conferta Sm.) and Its Adulterants Through DNA Barcoding,” Pharmacognosy Magazine 13 (2017): S224–S229, 10.4103/pm.pm_499_16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163. Yu J., Wu X., Liu C., Newmaster S., Ragupathy S., and Kress W. J., “Progress in the Use of DNA Barcodes in the Identification and Classification of Medicinal Plants,” Ecotoxicology and Environmental Safety 208 (2021): 111691, 10.1016/j.ecoenv.2020.111691. [DOI] [PubMed] [Google Scholar]
- 164. Anthoons B., Lagiotis G., Drouzas A. D., de Boer H., and Madesis P., “Barcoding High Resolution Melting (Bar‐HRM) Enables the Discrimination Between Toxic Plants and Edible Vegetables Prior to Consumption and After Digestion,” Journal of Food Science 87, no. 9 (2022): 4221–4232, 10.1111/1750-3841.16253. [DOI] [PubMed] [Google Scholar]
- 165. Raclariu‐Manolică A. C., Mauvisseau Q., and de Boer H. J., “Horizon Scan of DNA‐Based Methods for Quality Control and Monitoring of Herbal Preparations,” Frontiers in Pharmacology 14 (2023): 1179099, 10.3389/fphar.2023.1179099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 166. Chen S., Yin X., Han J., et al., “DNA Barcoding in Herbal Medicine: Retrospective and Prospective,” Journal of Pharmaceutical Analysis 13, no. 5 (2023): 431–441, 10.1016/j.jpha.2023.03.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167. Adamowicz S. J., Boatwright J. S., Chain F., et al., “Trends in DNA Barcoding and Metabarcoding,” Genome 62, no. 3 (2019): v–viii, 10.1139/gen-2019-0054. [DOI] [PubMed] [Google Scholar]
- 168. Farrar J. S. and Wittwer C. T., “High‐Resolution Melting Curve Analysis for Molecular Diagnostics,” Pharmacogenomics 8, no. 6 (2017): 597–608, 10.1016/B978-0-12-802971-8.00006-7. [DOI] [PubMed] [Google Scholar]
- 169. Sun W., Li J. J., Xiong C., Zhao B., and Chen S. L., “The Potential Power of bar‐HRM Technology in Herbal Medicine Identification,” Frontiers in Plant Science 7 (2016): 367, 10.3389/fpls.2016.00367. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 170. Fadzil N. F., Wagiran A., Mohd Salleh F., Abdullah S., and Mohd Izham N. H., “Authenticity Testing and Detection of Eurycoma longifolia in Commercial Herbal Products Using Bar‐High Resolution Melting Analysis,” Genes (Basel) 9, no. 8 (2018): 408, 10.3390/genes9080408. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 171. Osathanunkul M., Madesis P., and de Boer H., “Bar‐HRM for Authentication of Plant‐Based Medicines: Evaluation of Three Medicinal Products Derived From Acanthaceae Species,” PLoS ONE 10, no. 5 (2015): e0128476, 10.1371/journal.pone.0128476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 172. Zhang Z. P., Wang X. Y., Zhang Z., et al., “The Impact of Genetic Diversity on the Accuracy of DNA Barcoding to Identify Species: A Study on the Genus Phellodendron ,” Ecology and Evolution 9, no. 18 (2019): 10723–10733, 10.1002/ece3.5590. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 173. Almeida F. A. N. D., Oliveira P. V., Matos N. S., et al., “Authentication of Brazilian Ginseng Using Bar‐HRM Analysis,” Brazilian Journal of Pharmaceutical 59 (2023): 21179. [Google Scholar]
- 174. Singtonat S. and Osathanunkul M., “Fast and Reliable Detection of Toxic Crotalaria spectabilis Roth. In Thunbergia laurifolia Lindl. Herbal Products Using DNA Barcoding Coupled With HRM Analysis,” BMC Complementary and Alternative Medicine 15 (2015): 162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175. Gao Z., Liu Y., Wang X., Wei X., and Han J., “DNA Mini‐Barcoding: A Derived Barcoding Method for Herbal Molecular Identification,” Frontiers in Plant Science 10 (2019): 987, 10.3389/fpls.2019.00987. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 176. Howard C., Hill E., Kreuzer M., Mali P., Masiero E., and Slater A., “Sgamma T.DNA Authentication of St John's Wort (Hypericum perforatum L.) Commercial Products Targeting the ITS Region,” Genes (Basel) 10, no. 4 (2019): 286, 10.3390/genes10040286. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 177. Kazi T., Hussain N., Bremner P., Slater A., and Howard C., “The Application of a DNA‐Based Identification Technique to Over‐The‐Counter Herbal Medicines,” Fitoterapia 87 (2013): 27–30, 10.1016/j.fitote.2013.03.001. [DOI] [PubMed] [Google Scholar]
- 178. Jürges G., Sahi V., Rios Rodriguez D., et al., “Product Authenticity Versus Globalisation—The Tulsi Case,” PLoS ONE 13, no. 11 (2018): e0207763, 10.1371/journal.pone.0207763. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 179. Gorini T., Mezzasalma V., Deligia M., et al., “Check Your Shopping Cart: DNA Barcoding and Mini‐Barcoding for Food Authentication,” Food 12, no. 12 (2023): 2392, 10.3390/foods12122392. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 180. Zhang T., Xu F., Ruhsam M., et al., “A Nucleotide Signature for the Identification of Pinelliae rhizoma (Banxia) and Its Products,” Molecular Biology Reports 49, no. 8 (2022): 7753–7763, 10.1007/s11033-022-07600-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 181. Letsiou S., Madesis P., Vasdekis E., et al., “DNA Barcoding as a Plant Identification Method,” Applied Sciences 14, no. 4 (2024): 1415, 10.3390/app14041415. [DOI] [Google Scholar]
- 182. Chattopadhyay P., Banerjee G., and Banerjee N., “Distinguishing Orchid Species by DNA Barcoding: Increasing the Resolution of Population Studies in Plant Biology,” Omics 21, no. 12 (2017): 711–720, 10.1089/omi.2017.0131. [DOI] [PubMed] [Google Scholar]
- 183. Liu J., Yan H. F., and Ge X. J., “The use of DNA Barcoding on Recently Diverged Species in the Genus Gentiana (Gentianaceae) in China,” PLoS ONE 11, no. 4 (2016): e0153008, 10.1371/journal.pone.0153008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 184. Ying Z., Awais M., Akter R., et al., “Discrimination of Panax Ginseng From Counterfeits Using Single Nucleotide Polymorphism: A Focused Review,” Frontiers in Plant Science 13 (2022): 903306, 10.3389/fpls.2022.903306. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 185. Deiner K., Bik H. M., Mächler E., et al., “Environmental DNA Metabarcoding: Transforming How We Survey Animal and Plant Communities,” Molecular Ecology 26, no. 21 (2017): 5872–5895, 10.1111/mec.14350. [DOI] [PubMed] [Google Scholar]
- 186. Raclariu A. C., Heinrich M., Ichim M. C., and de Boer H., “Benefits and Limitations of DNA Barcoding and Metabarcoding in Herbal Product Authentication,” Phytochemical Analysis 29, no. 2 (2018): 123–128, 10.1002/pca.2732. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 187. Dormontt E. E., van Dijk K. J., Bell K., et al., “Advancing DNA Barcoding and Metabarcoding Applications for Plants Requires Systematic Analysis of Herbarium Collections—An Australian Perspective,” Frontiers in Ecology and Evolution 6 (2018): 134, 10.3389/fevo.2018.00134/full. [DOI] [Google Scholar]
- 188. Taberlet P., Prud'Homme S. M., Campione E., et al., “Soil Sampling and Isolation of Extracellular DNA From Large Amount of Starting Material Suitable for Metabarcoding Studies,” Molecular Ecology 21, no. 8 (2012): 1816–1820, 10.1111/j.1365-294X.2011.05317.x. [DOI] [PubMed] [Google Scholar]
- 189. Arulandhu A. J., Staats M., Hagelaar R., et al., “Development and Validation of a Multi‐Locus DNA Metabarcoding Method to Identify Endangered Species in Complex Samples,” GigaScience 6, no. 10 (2017): 1–18, 10.1093/gigascience/gix080. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 190. Acharya‐Patel N., Allison M. J., and Helbing C. C., “Chapter 5 ‐ Environmental DNA: Revolutionizing Ecological Assessments With Genomics,” in Translational and Applied Genomics, Genomics and the Global Bioeconomy, eds. Lopez‐Correa C. and Suarez‐Gonzalez A. (Academic Press, 2023), 103–124, 10.1016/B978-0-323-91601-1.00004-3. [DOI] [Google Scholar]
- 191. Fahner N. A., Shokralla S., Baird D. J., and Hajibabaei M., “Large‐Scale Monitoring of Plants Through Environmental DNA Metabarcoding of Soil: Recovery, Resolution, and Annotation of Four DNA Markers,” PLoS ONE 11, no. 6 (2016): e0157505, 10.1371/journal.pone.0157505. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 192. Bell K. L., Turo K. J., Lowe A., et al., “Plants, Pollinators and Their Interactions Under Global Ecological Change: The Role of Pollen DNA Metabarcoding,” Molecular Ecology 32 (2022): 16689–16362, 10.1111/mec.16689. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 193. Coissac E., Riaz T., and Puillandre N., “Bioinformatic Challenges for DNA Metabarcoding of Plants and Animals,” Molecular Ecology 21, no. 8 (2012): 1834–1847, 10.1111/j.1365-294X.2012.05550.x. [DOI] [PubMed] [Google Scholar]
- 194. Piper A. M., Batovska J., NOI C., et al., “Prospects and Challenges of Implementing DNA Metabarcoding for High‐Throughput Insect Surveillance,” GigaScience 8, no. 8 (2019): giz092, 10.1093/gigascience/giz092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 195. Reese A. T., Kartzinel T. R., Petrone B. L., Turnbaugh P. J., Pringle R. M., and David L. A., “Using DNA Metabarcoding to Evaluate the Plant Component of Human Diets: A Proof of Concept,” mSystems 4, no. 5 (2019): e00458‐19, 10.1128/mSystems.00458-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 196. Wilson A. W., Eberhardt U., Nguyen N., et al., “Does One Size Fit All? Variations in the DNA Barcode Gaps of Macrofungal Genera,” Journal of Fungi (Basel) 9, no. 8 (2023): 788, 10.3390/jof9080788. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 197. Quaresma A., Ankenbrand M. J., Garcia C. A. Y., et al., “Semi‐Automated Sequence Curation for Reliable Reference Datasets in ITS2 Vascular Plant DNA (Meta‐) Barcoding,” Scientific Data 11, no. 1 (2024): 129, 10.1038/s41597-024-02962-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 198. Forsman A. M., Savage A. E., Hoenig B. D., and Gaither M. R., “DNA Metabarcoding Across Disciplines: Sequencing Our Way to Greater Understanding Across Scales of Biological Organization,” Integrative and Comparative Biology 62, no. 2 (2022): 191–198, 10.1093/icb/icac090. [DOI] [PubMed] [Google Scholar]
- 199. Frigerio J., Agostinetto G., Mezzasalma V., De Mattia F., Labra M., and Bruno A., “DNA‐Based Herbal Teas' Authentication: An ITS2 and psbA‐trnH Multi‐Marker DNA Metabarcoding Approach,” Plants 10, no. 10 (2021): 2120, 10.3390/plants10102120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 200. Simmler C., Chen S. N., Anderson J., et al., “Botanical Integrity: The Importance of the Integration of Chemical, Biological, and Botanical Analyses, and the Role of DNA Barcoding,” HerbalGram 106 (2015): 58–60. [PMC free article] [PubMed] [Google Scholar]
- 201. Wu H.‐Y. and Shaw P.‐C., “Strategies for Molecular Authentication of Herbal Products: From Experimental Design to Data Analysis,” Chinese Medicine 17 (2022): 38, 10.1186/s13020-022-00590-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 202. Ragupathy S., Thirugnanasambandam A., Henry T., Vinayagam V., Sneha R., and Newmaster S. G., “Flower Species Ingredient Verification Using Orthogonal Molecular Methods,” Food 13, no. 12 (2024): 1862, 10.3390/foods13121862. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 203. Mück F., Scotti F., Mauvisseau Q., Thorbek B. L. G., Wangensteen H., and de Boer H. J., “Three‐Tiered Authentication of Herbal Traditional Chinese Medicine Ingredients Used in Women's Health Provides Progressive Qualitative and Quantitative Insight,” Frontiers in Pharmacology 15 (2024): 1353434. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 204. Wong K. H., Zheng T., Yue G. G., et al., “A Systematic Approach for Authentication of Medicinal Patrinia Species Using an Integration of Morphological, Chemical and Molecular Methods,” Scientific Reports 14 (2024): 6566, 10.1038/s41598-024-57115-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 205. Palhares R. M., Drummond M. G., Brasil B. D. S. A. F., Cosenza G. P., Brandão M. G., and Oliveira G., “Medicinal Plants Recommended by the World Health Organization: DNA Barcode Identification Associated With Chemical Analyses Guarantees Their Quality,” PLoS ONE 10, no. 5 (2015): e0127866, 10.1371/journal.pone.0127866. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 206. Palhares R. M., Drummond M. G., Brasil B. S., Krettli A. U., Oliveira G. C., and Brandão M. G., “The use of an Integrated Molecular‐, Chemical‐ and Biological‐Based Approach for Promoting the Better Use and Conservation of Medicinal Species: A Case Study of Brazilian Quinas,” Journal of Ethnopharmacology 155, no. 1 (2014): 815–822, 10.1016/j.jep.2014.06.040. [DOI] [PubMed] [Google Scholar]
- 207. Tabanca N., Gao Z., Demirci B., et al., “Molecular and Phytochemical Investigation of Angelica dahurica and Angelica pubescentis Essential Oils and Their Biological Activity Against Aedes Aegypti, Stephanitispyrioides, and Colletotrichum Species,” Journal of Agricultural and Food Chemistry 62, no. 35 (2014): 8848–8857, 10.1021/jf5024752. [DOI] [PubMed] [Google Scholar]
- 208. Zhang Z., Zhang Y., Zhang Z., et al., “Comparative Analysis of DNA Barcoding and HPLC Fingerprint to Trace Species of Phellodendri Cortex, an Important Traditional Chinese Medicine From Multiple Sources,” Biological & Pharmaceutical Bulletin 39, no. 8 (2016): 1325–1330, 10.1248/bpb.b16-00210. [DOI] [PubMed] [Google Scholar]
- 209. Duan Z., Song W., Chen K., Qiao X., and Ye M., “Assessment of Genetic and Chemical Variability in Curcumae Longae Rhizoma (Curcuma longa) Based on DNA Barcoding Markers and HPLC Fingerprints,” Biological & Pharmaceutical Bulletin 40, no. 10 (2017): 1638–1645, 10.1248/bpb.b17-00020. [DOI] [PubMed] [Google Scholar]
- 210. Frommenwiler D. A., Maire‐Widmer V., Upton R., Nichols J., Heuble G., and Reich E., “Qualitative and Quantitative Characterization of Two Licorice Root Species (Glycyrrhiza glabra L. and Glycyrrhiza uralensis Fisch.) by HPTLC, Validated by HPLC and DNA Sequencing,” JPC‐Journal of Planar Chromatography 30 (2017): 467–473, 10.1556/1006.2017.30.6.2. [DOI] [Google Scholar]
- 211. Abubakar B. M., Salleh F. M., Shamsir Omar M. S., and Wagiran A., “Assessing Product Adulteration of Eurycoma longifolia (Tongkat Ali) Herbal Medicinal Product Using DNA Barcoding and HPLC Analysis,” Pharmaceutical Biology 56, no. 1 (2018): 368–377, 10.1080/13880209.2018.1479869. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 212. Yang J., Dong L., Wei G., et al., “Identification and Quality Analysis of Panax notoginseng and Panax vietnamensis Var. Fuscidicus Through Integrated DNA Barcoding and HPLC,” Chinese Herbal Medicines 10, no. 2 (2018): 177–183, 10.1016/j.chmed.2018.03.008. [DOI] [Google Scholar]
- 213. Raclariu A. C., Ţebrencu C. E., Ichim M. C., Ciupercǎ O. T., Brysting A. K., and de Boer H. J., “What's in the box? Authentication of Echinacea Herbal Products Using DNA Metabarcoding and HPTLC,” Phytomedicine 44 (2018b): 32–38, 10.1016/j.phymed.2018.03.058. [DOI] [PubMed] [Google Scholar]
- 214. Dechbumroong P., Aumnouypol S., Denduangboripant J., and Sukrong S., “DNA Barcoding of Aristolochia Plants and Development of Species‐Specific Multiplex PCR to aid HPTLC in Ascertainment of Aristolochia Herbal Materials,” PLoS ONE 13, no. 8 (2018): e0202625, 10.1371/journal.pone.0202625. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 215. Gesto‐Borroto R., Cardoso‐Taketa A., Yactayo‐Chang J. P., et al., “DNA Barcoding and TLC as Tools to Properly Identify Natural Populations of the Mexican Medicinal Species Galphimia glauca Cav,” PLoS ONE 14, no. 5 (2019): e0217313, 10.1371/journal.pone.0217313. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 216. Zhang G., Liu J., Gao M., et al., “Tracing the Edible and Medicinal Plant Pueraria montana and Its Products in the Marketplace Yields Subspecies Level Distinction Using DNA Barcoding and DNA Metabarcoding,” Frontiers in Pharmacology 11 (2020): 1–8, 10.3389/fphar.2020.00336. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 217. Thongkhao K., Pongkittiphan V., Phadungcharoen T., et al., “Differentiation of Cyanthillium cinereum, a Smoking Cessation Herb, From Its Adulterant Emilia sonchifolia Using Macroscopic and Microscopic Examination, HPTLC Profiles and DNA Barcodes,” Scientific Reports 10, no. 1 (2020): 14753, 10.1038/s41598-020-71702-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 218. Xu H., Li P., Ren G., Wang Y., Jiang D., and Liu C., “Authentication of Three Source Spices of Arnebiae Radix Using DNA Barcoding and HPLC,” Frontiers in Pharmacology 12 (2021): 677014, 10.3389/fphar.2021.677014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 219. Thongkhao K., Tungphatthong C., Pichetkun V., Gaewtongliam S., Wiwatcharakornkul W., and Sukrong S., “Combining DNA and HPTLC Profiles to Differentiate a Pain Relief Herb, Mallotusrepandus, From Plants Sharing the Same Common Name, “Kho‐Khlan”,” PLoS ONE 17, no. 6 (2022): e0268680, 10.1371/journal.pone.0268680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 220. Intharuksa A., Denduangboripant J., Chansakaow S., Thongkhao K., and Sukrong S., “HPLC and DNA Barcoding Profiles for Identification of the Selected Twelve Mucuna Species and Its Application for Detecting Prohibited Aphrodisiac Mucuna Products,” Heliyon 9, no. 3 (2023): e14130, 10.1016/j.heliyon.2023.e14130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 221. Zarrei M., Talent N., Kuzmina M., et al., “DNA Barcodes From Four Loci Provide Poor Resolution of Taxonomic Groups in the Genus Crataegus,” AoB Plants 7 (2015): plv045, 10.1093/aobpla/plv045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 222. Urumarudappa S. K., Gogna N., Newmaster S. G., et al., “DNA Barcoding and NMR Spectroscopy‐Based Assessment of Species Adulteration in the Raw Herbal Trade of Saraca asoca (Roxb.) Willd, an Important Medicinal Plant,” International Journal of Legal Medicine 130, no. 6 (2016): 1457–1470, 10.1007/s00414-016-1436-y. [DOI] [PubMed] [Google Scholar]
- 223. Liu Y., Liu C., Tan E., et al., “Genetic and Chemical Discrimination of Traditional Tibetan Medicine Seabuckthorn Based on DNA Barcode and H‐NMR Metabolic Method,” China Journal of Chinese Materia Medica 41, no. 4 (2016): 578–585, 10.4268/cjcmm20160405. [DOI] [PubMed] [Google Scholar]
- 224. Seethapathy G. S., Tadesse M., Urumarudappa S. K. J., et al., “Authentication of Garcinia Fruits and Food Supplements Using DNA Barcoding and NMR Spectroscopy,” Scientific Reports 8 (2018): 10561, 10.1038/s41598-018-28635-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 225. Kesanakurti P., Thirugnanasambandam A., Ragupathy S., and Newmaster S. G., “Genome Skimming and NMR Chemical Fingerprinting Provide Quality Assurance Biotechnology to Validate Sarsaparilla Identity and Purity,” Scientific Reports 10, no. 1 (2020): 19192, 10.1038/s41598-020-76073-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 226. Shirahata T., Ishikawa H., Kudo T., et al., “Metabolic Fingerprinting for Discrimination of DNA‐Authenticated Atractylodes Plants Using 1H NMR Spectroscopy,” Journal of Natural Medicines 75, no. 3 (2021): 475–488, 10.1007/s11418-020-01471-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 227. Chipiti T., Viljoen A. M., Cordero‐Maldonado M. L., et al., “Anti‐Seizure Activity of African Medicinal Plants: The Identification of Bioactive Alkaloids From the Stem Bark of Rauvolfiacaffra Using an in Vivo Zebrafish Model,” Journal of Ethnopharmacology 279 (2021): 114282, 10.1016/j.jep.2021.114282. [DOI] [PubMed] [Google Scholar]
- 228. Ivanova N. V., Kuzmina M. L., Braukmann T. W., Borisenko A. V., and Zakharov E. V., “Authentication of Herbal Supplements Using Next‐Generation Sequencing,” PLoS ONE 11, no. 5 (2016): e0156426, 10.1371/journal.pone.0156426. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 229. Geißler K., Greule M., Schäfer U., et al., “Vanilla Authenticity Control by DNA Barcoding and Isotope Data Aggregation,” Flavour and Fragrance Journal 32, no. 4 (2017): 228–237, 10.1002/ffj.3379. [DOI] [Google Scholar]
- 230. Li S. Z., Zeng S. L., Wu Y., et al., “Cultivar Differentiation of Citri Reticulatae Pericarpium by a Combination of Hierarchical Three‐Step Filtering Metabolomics Analysis, DNA Barcoding and Electronic Nose,” Analytica Chimica Acta 1056 (2019): 62–69, 10.1016/j.aca.2019.01.004. [DOI] [PubMed] [Google Scholar]
- 231. Geng P., Sun J., Chen P., et al., “Characterization of Maca (Lepidium meyenii/Lepidium peruvianum) Using a Mass Spectral Fingerprinting, Metabolomic Analysis, and Genetic Sequencing Approach,” Planta Medica 86, no. 10 (2020): 674–685, 10.1002/ffj.3379. [DOI] [PubMed] [Google Scholar]
- 232. Zheng S., Jiang X., Wu L., Wang Z., and Huang L., “Chemical and Genetic Discrimination of Cistanches Herba Based on UPLC‐QTOF/MS and DNA Barcoding,” PLoS ONE 9, no. 5 (2014): e98061, 10.1371/journal.pone.0098061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 233. Hosam E. and Eman M., “Basil Cultivar Identification Using Chemotypingstill Favored Over Genotyping Using Core Barcodes and Possible Resources of Antioxidants,” Journal of Essential Oil Research 27, no. 1 (2015): 82–87, 10.1080/10412905.2014.982874. [DOI] [Google Scholar]
- 234. Harnly J., Chen P., Colson K., and McCoy J., “MS, NMR, and DNA Barcoding, Complementary Methods for Identification and Authentication of Black Cohosh (Actaea racemosa L.),” Planta Medica 81, no. 11 (2015): 1–14, 10.1055/s-0035-1556184. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 235. Booker A., Zhai L., Gkouva C., Li S., and Heinrich M., “From Traditional Resource to Global Commodities:—A Comparison of Rhodiola Species Using NMR Spectroscopy—Metabolomics and HPTLC,” Frontiers in Pharmacology 7 (2016): 254, 10.3389/fphar.2016.00254. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 236. Raclariu A. C., Mocan A., Popa M. O., et al., “ Veronica officinalis Product Authentication Using DNA Metabarcoding and HPLC‐MS Reveals Widespread Adulteration With Veronica chamaedrys ,” Frontiers in Pharmacology 8 (2017): 378, 10.3389/fphar.2017.00378. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 237. Raclariu A. C., Paltinean R., Vlase L., et al., “Comparative Authentication of Hypericum perforatum Herbal Products Using DNA Metabarcoding, TLC and HPLC‐MS,” Scientific Reports 7, no. 1 (2017): 1291, 10.1038/s41598-017-01389-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 238. Song W., Qiao X., Chen K., et al., “Biosynthesis‐Based Quantitative Analysis of 151 Secondary Metabolites of Licorice to Differentiate Medicinal Glycyrrhiza Species and Their Hybrids,” Analytical Chemistry 89, no. 5 (2017): 3146–3153, 10.1021/acs.analchem.6b04919. [DOI] [PubMed] [Google Scholar]
- 239. Paranaiba R. T. F., Carvalho C. B. V., Freitas J. M., et al., “Forensic Botany and Forensic Chemistry Working Together: Application of Plant DNA Barcoding as a Complement to Forensic Chemistry—A Case Study in Brazil,” Genome 62, no. 1 (2019): 11–18, 10.1139/gen-2018-0066. [DOI] [PubMed] [Google Scholar]
- 240. Zhao W., Liu M., Shen C., et al., “Differentiation, Chemical Profiles and Quality Evaluation of Five Medicinal Stephania Species (Menispermaceae) Through Integrated DNA Barcoding, HPLC‐QTOF‐MS/MS and UHPLC‐DAD,” Fitoterapia 141 (2020): 104453, 10.1016/j.fitote.2019.104453. [DOI] [PubMed] [Google Scholar]
- 241. Yao G., Ma W., Huang X., et al., “Identification and Quality Evaluation of raw and Processed Asarum Species Using Microscopy, DNA Barcoding, and Gas Chromatography–Mass Spectrometry,” Journal of Analytical Methods in Chemistry 2020 (2020): 2690238, 10.1155/2020/2690238. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 242. Li Z., Du Y., Yuan Y., Zhang X., Wang Z., and Tian X., “Integrated Quality Evaluation Strategy for Multi‐Species Resourced Herb Medicine of Qinjiao by Metabolomics Analysis and Genetic Comparation,” Chinese Medicine 15, no. 1 (2020): 16, 10.1186/s13020-020-0292-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 243. Bielecka M., Pencakowski B., Stafiniak M., et al., “Metabolomics and DNA‐Based Authentication of two Traditional Asian Medicinal and Aromatic Species of Salvia subg. Perovskia ,” Cells 10, no. 1 (2021): 112, 10.3390/cells10010112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 244. Handy S. M., Pawar R. S., Ottesen A. R., et al., “HPLC‐UV, Metabarcoding and Genome Skims of Botanical Dietary Supplements: A Case Study in Echinacea,” Planta Medica 87, no. 4 (2021): 314–324, 10.1055/a-1336-1685. [DOI] [PubMed] [Google Scholar]
- 245. Alberts P. S. F. and Meyer J. J. M., “Integrating Chemotaxonomic‐Based Metabolomics Data With DNA Barcoding for Plant Identification: A Case Study on South‐East African Erythroxylaceae Species,” South African Journal of Botany 146 (2022): 174–186, 10.1016/j.sajb.2021.10.005. [DOI] [Google Scholar]
- 246. Naim N., Ennahli N., Hanine H., et al., “ATR‐FTIR Spectroscopy Combined With DNA Barcoding and GC‐MS to Assess the Quality and Purity of Saffron (Crocus sativus L.),” Vibrational Spectroscopy 123 (2022): 103446. [Google Scholar]
- 247. Kumar P., Singh K., Lone J. F., Bhushan A., Gupta P., and Gairola S., “Morpho‐Anatomical, Molecular, and Chemical Standardization of Trillium govanianum Wall. Ex D. Don: An Endangered Medicinal Herb Native to the Himalayas,” Pharmacognosy Magazine 19, no. 1 (2023): 128–143, 10.1177/09731296221145070. [DOI] [Google Scholar]
- 248. Simmler C., Anderso J. R., Gauthier L., et al., “Metabolite Profiling and Classification of DNA‐Authenticated Licorice Botanicals,” Journal of Natural Products 78, no. 8 (2015): 2007–2022, 10.1021/acs.jnatprod.5b00342. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 249. Society for Medicinal Plant and Natural Product Research , (n.d.), “Best practice in Research—ConPhyMP,” accessed August 15, 2024, https://ga‐online.org/best‐practice/#:~:text=The%20ConPhyMP%20is%20a%20consensus,extracts%20used%20in%20such%20studies.
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Data Availability Statement
The paper is a review of the literature as described in the introduction of the text. The original data used for making tables, figures, analysing data, discussion and conclusion is presented in the reference part of the manuscript.
