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Journal of Pharmaceutical Analysis logoLink to Journal of Pharmaceutical Analysis
. 2022 Mar 23;12(4):517–529. doi: 10.1016/j.jpha.2022.03.001

Current developments of bioanalytical sample preparation techniques in pharmaceuticals

Rahul G Ingle a,b, Su Zeng a, Huidi Jiang a, Wei-Jie Fang a,b,
PMCID: PMC9463481  PMID: 36105159

Abstract

Sample preparation is considered as the bottleneck step in bioanalysis because each biological matrix has its own unique challenges and complexity. Competent sample preparation to extract the desired analytes and remove redundant components is a crucial step in each bioanalytical approach. The matrix effect is a key hurdle in bioanalytical sample preparation, which has gained extensive consideration. Novel sample preparation techniques have advantages over classical techniques in terms of accuracy, automation, ease of sample preparation, storage, and shipment and have become increasingly popular over the past decade. Our objective is to provide a broad outline of current developments in various bioanalytical sample preparation techniques in chromatographic and spectroscopic examinations. In addition, how these techniques have gained considerable attention over the past decade in bioanalytical research is mentioned with preferred examples. Modern trends in bioanalytical sample preparation techniques, including sorbent-based microextraction techniques, are primarily emphasized.

Keywords: Bioanalysis, Biological matrices, Matrix effect, Microextraction, Sample preparation technique

Graphical abstract

Image 1

Highlights

  • Bioanalytical sampling techniques are described with suitable applications in pharmaceuticals.

  • The pros and cons of each bioanalytical sampling techniques are described.

  • Relevant biological matrices are outlined.

1. Introduction

The development of bioanalytical sample preparation techniques has become challenging over the decades because of the need to constantly accomplish higher sensitivity, accuracy, and speed of analysis in complex biofluids (e.g., blood, serum, plasma, saliva, feces, and urine). In addition, because of the minute concentration of analytes, samples are often required to be preconcentrated prior to analysis. However, this often increases the levels of interfering components, such as small molecules (e.g., drugs, salts, and metabolites) or large molecules (e.g., nucleic acids, proteins, and peptides). Consequently, highly specific sample clean-up actions are necessary for accurate and selective bioanalysis for regulatory purposes [1]. Subsequently, these studies support regulatory filings such as investigational new drug application, new drug application, and abbreviated new drug application [2]. Therefore, bioanalytical sample preparation techniques need to be thoroughly validated before they can be employed in actual sample analysis. In most biological samples, carbohydrates, proteins, lipids, salts, and other endogenous components are present in large amounts. They can hamper the preferred trace analytes via matrix effects, where their elimination is the primary purpose of sample preparation prior to analysis. In addition, more bioanalytical studies have been reported on liquid-liquid extraction (LLE) and solid-phase extraction (SPE). Recently, dispersive liquid-liquid microextraction (DLLME) and electromembrane extraction (EME) have become more acceptable due to their advantages in clinical investigations. Therefore, continuous improvement of novel sample preparation and microfluidics-based techniques is necessary to accelerate bioanalytical research.

In the present article, we review the current publications associated with sample preparation techniques in bioanalytics. This article does not intend to be inclusive but rather intends to address the principles, advantages and disadvantages, and capability for practice in bioanalytical laboratories based on the authors’ collective knowledge and experiences.

2. Biological matrices relevant in bioanalysis

In bioanalytical studies, various types of biological matrices (e.g., blood, plasma, serum, urine, hair, human breast milk, saliva, sweat, cerebrospinal fluid (CSF), and tissue) need to be investigated. In addition, every matrix has unique challenges. For example, plasma contains more phospholipids, whereas urine contains a large amount of salt [3]. Conventionally, biofluids (e.g., blood, serum, plasma, saliva, sweat, urine, and tissue) are used extensively in bioanalysis [4]. Recently, hair, human breast milk, and feces have also been used as biological specimens. Hair is a stable and tough matrix that is easy to handle and hardly tampered with during collection, and it has a high degree of degradation in post-mortem studies [4]. Human breast milk is an excellent marker of drugs and ecological pollutants [5]. As has been known for a long time, drug and metabolite excretion in breast milk is a crucial issue for breastfeeding mothers. Similar to excretion in breast milk, some herbal medicines may be metabolized by intestinal microbiota and excreted in feces. Feces are nondigested, nonhomogeneous, complex, and laden with macromolecules and particulates, which can present problems for analytical systems. Global metabolic monitoring of feces demonstrates a challenge from both biochemical and analytical standpoints [6]. A short introduction to biological samples is provided below [7,8].

2.1. Blood, plasma, and serum

Blood is composed of various blood cells suspended in plasma. Plasma is composed of approximately 55% of blood fluid in humans and constitutes glucose, proteins, hormones, minerals, and blood cells. Serum is the fluid and solute component of blood without fibrinogens. It contains a variety of metabolites that can be used in the diagnosis of various clinical conditions and many severe disorders [9].

2.2. Urine

Urine is overwhelmingly composed of water (i.e., 95%), in addition to inorganic salts (e.g., sodium, phosphate, sulfate, and ammonia), urea, creatinine, proteins, and pigmented products of blood breakdown (e.g., urochrome). Urinary metabolomics approaches are likely to be used to monitor prior diagnostic and prognostic biomarkers of disorders such as urinary tract infection and chronic kidney diseases [10].

2.3. Hair

Hair is a hard and strong tissue. It is widely used in bioanalysis due to its ideal properties. Hair is a stable and strong matrix that is non-invasively collected, easy to handle and transport, and hardly tampered with during collection. In the case of drug addicts, most drugs are found in hair [4]. Hair analysis is also used to provide DNA evidence for criminal cases and investigation of heavy metals in the body, such as arsenic, mercury, and lead.

2.4. Human breast milk

Human breast milk is composed of certain levels of fat, proteins, lactose, and minerals. It is an excellent biomarker for the detection of drugs, metabolites, and environmental pollutants. Some drugs and metabolisms are excreted in breast milk, with lipophilic drugs having a higher tendency to excrete into breast milk [11], which can present a serious problem for breastfeeding mothers and the risk of infants receiving excreted drugs and metabolites. Therefore, it is advisable to cautiously feed mothers on any medicinal treatment during breastfeeding. Breast milk can be accumulated in a clinically recommended pump with glass vessels. The collected samples were transferred to polypropylene tubes for analysis.

2.5. Saliva

Saliva is composed of nearly 99% of water and compounds secreted by the salivary glands. Due to its easy collection and presence of significant biomarkers in many severe disorders, saliva has become a preferable biological fluid. Saliva contains a variety of electrolytes, including sodium, potassium, bicarbonate, magnesium, phosphate, and calcium. Saliva is an absolute medium that can be monitored for the examination of many disorders. In addition, saliva comprises a number of cytokines, enzymes, hormones, and antimicrobial components. Several biomarkers of heart diseases and cancers can be found in saliva. Saliva has been used as a diagnostic aid in clinical situations such as cystic fibrosis, Sjogren's syndrome, and adrenal cortex-related disorders. Compared to other biological fluids, saliva collection and handling is convenient, noninvasive, and economical [12].

2.6. Sweat and skin surface lipids

Sweat is comprised of approximately 99% water and sodium chloride as the main solute. Skin surface lipids constitute a combination of sebum and keratinocyte membrane lipids. Lipophilic drugs are prone to excretion through passive diffusion into sweat glands. Hence, it is important to be attentive to skin surface lipids and sweat samples [13]. Clinically, sweat is the gold standard for the diagnosis of cystic fibrosis and many other severe disorders.

2.7. Feces

Fecal matter as human body waste generally consists of indigestible food matter, inorganic substances (e.g., calcium and iron phosphate), and certain amounts of dead bacteria. Some medicines may be metabolized by intestinal microflora and excreted in the feces. The fecal sample is an ideal specimen for the investigation of herbal medicines metabolized by the intestinal microbiota. Typically, before sampling the fecal matter, the person is supposed to be fasting. The fecal samples are then collected and placed in normal saline until further processing [14]. Clinically, fecal analysis is primarily performed to identify diseases of the digestive tract, liver, and pancreas.

2.8. Tissue

Tissues are composed of a group of cells with similar functions and shapes. They can be categorized into three sections: soft tissues, tough tissues, and hard tissues. Soft tissues (e.g., lung, liver, kidney, brain, and spleen) are simple to handle. Tough tissues (e.g., stomach, intestine, colon, muscle, placenta, heart, and artery) require appropriate methods. Quantification of drugs in the skin is challenging due to low amounts that may be present, small sample volumes, and the rigid nature of skin itself [15]. Hard tissues (e.g., cartilage, skeletal muscle, nail, bones, and hair) undergo a typical defined process in terms of collection. Hence, all tissues require accurate sample preparation before proceeding to analysis [16]. Tissues play key roles in clinical diagnostic purposes, such as tumor and cancer detection.

2.9. CSF

CSF is the secretion fluid of the central nervous system (CNS), and approximately 80% is produced by the choroid plexus that occupies the ventricles of the brain, subarachnoid space, and spinal cord. Proper and accurate investigation of the CSF metabolome can offer many clinically important insights into critical CNS ailments (e.g., Parkinson's disease, multiple sclerosis, brain injury, and Guillain-Barre syndrome).

3. Sample preparation techniques in bioanalytics

Currently, the increasing demand for convenient and eco-friendly sample preparation techniques is indisputable. Solvent extraction methods, including LLE, liquid-phase microextraction (LPME), and associated perspectives, such as solid-liquid extraction (SLE), are ideal for bioanalytics. Such techniques lower the cost of drug development and yield interest in pharmaceutical manufacturing [17]. High sample throughput can be accomplished when automation is carried out, ensuring increased accuracy and low waste generation of harmful materials.

Recent studies have focused on the evolution of sample preparation techniques to achieve these benefits. The cybernation of extraction methods (e.g., SPE, LPME, and LLE) and other sample preparation methods using robotics has led to novel and elegant perceptions of bioanalytics [18].

In 1990, Arthur and Pawliszyn [19] introduced a solid-phase microextraction (SPME) technique. SPME demonstrates a non-exhaustive method, including sampling, preconcentration, and extraction in one step [20]. The benefits of this technique include simple and rapid operation, high accuracy, improvement in sample clean-up, and less solvent consumption. SPME provides concurrent preconcentration and separation of volatile and nonvolatile samples [21]. Meanwhile, SPME has been coupled with sophisticated analytical technologies such as two-dimensional (2D) gas chromatography (GC), surface-enhanced Raman scattering, and ambient mass spectrometry [22]. Recently, it has been applied to the investigation of metabolites and neurotransmitters in vivo [23,24] and in tissues (i.e., nails and skin) [25]. SPME has proven to be a dominant technique for the preconcentration of genotoxic impurities (i.e., aziridine, 2-chloroethylamine, and methyl and ethyl ester derivatives of sulfonic acids) in active pharmaceutical ingredients [26]. Recently, applications of the fluorescence-based SPME technique and a handy fluorometer have also offered prospects for the on-site examination of pharmaceuticals [27].

In contrast, LPME was established to downscale sample volumes to 100 μL or less per analysis [28]. LPME has been used in bioanalytical applications, as mentioned in numerous recent articles [29,30]. LPME suffers from some of the abovementioned LLE disadvantages, that is, tiresome chemical handling at the micro level or required skilled personnel for handling [18]. Theoretically, LPME is the same as SPME, except that the extraction phase consists of a small microliter solution. The foremost cutback of the utilization of organic solvents and preconcentration serves as the key reason for LPME progress. It may comprise automation, easy sample cleaning, and low price per sample [31]. Thus, further studies may be required for the use of LPME in bioanalytics.

3.1. Microextraction techniques

With the efforts of researchers, non-exhaustive microextraction techniques have developed appreciably in terms of sensitivity and accuracy from complex biological matrices. Microextraction techniques are based on the principle of using low volumes of solvents. Microextraction techniques are robust, versatile, solvent-free, and cost-effective. Automation of several microextraction techniques is appropriate for regular laboratory analyses. The primary microextraction techniques developed over the past decade are as follows:

3.1.1. Air-assisted liquid-liquid microextraction (AALLME)

In 2012, AALLME was initially developed for the study of phthalates with high extraction recovery and low solvent consumption [32]. Here, a non-polar organic solvent at a μL-concentration was dispersed in the sample solution. This technique has ample recognition among researchers because of its ease of handling, economical nature, and convenience in most bioanalytical laboratories [33]. AALLME has been used to determine six fluoroquinolone compounds in milk powder and eggs [34], triazole pesticides (e.g., penconazole) in edible oils [35], warfarin in biological samples [36], therapeutic lectin [37], and multiclass pesticide residues in vegetable and fruit juice samples [38].

3.1.2. Single drop microextraction (SDME)

SDME is a convenient and economical miniaturized tool for the isolation of several desired analytes from complex matrices. Liu and Dasgupta [39] first introduced SDME as another extraction method to eliminate the problem of solvent evaporation. In SDME, analyte distribution occurs among a microdrop of organic solvent (acceptor phase) and aqueous sample (donor phase). The extraction medium was a single drop, which is termed SDME. The microdrop typically consists of an organic solvent (e.g., 1–10 μL) [40]. A simple, economical, and eco-friendly microextraction technique lacks carry-over. The exercise of small solvent volumes renders SDME an eco-friendly analytical process that produces minimal or no waste. Nevertheless, the major drawbacks are the drop volume fluctuation and instability. In general, two major concepts can be applied to execute SDME, direct immersion (DI-SDME) and headspace mode (HS-SDME) [41] (Fig. 1). HS-SDME is identical to DI-SDME except that a microdrop of a higher boiling point extracting solvent is revealed to the sample headspace. DI-SDME is more appropriate for the analysis of non-polar to mid-polar analytes of high molecular weight. In contrast, HS-SDME is appropriate for semivolatile as well as volatile polar and non-polar small molecular weight compounds. SDME has been broadly utilized in the investigation of environmental samples, anesthetics, pyrethroid pesticides, ranitidine in water samples, multiclass pesticides in mangos [42], ethanol in wine [43], and chromium in biological fluids [44]. A major disadvantage of this method is its unsuitability for dirty samples.

Fig. 1.

Fig. 1

Direct immersion-single drop microextraction and head space-single drop microextraction sample preparation techniques.

3.1.3. Stir bar sorptive microextraction (SBSME)

In 1999, Baltussen et al. [45] introduced SBSME based on sorptive extraction. The only difference is that the deposition position differs from that in the SPME. Extraction and desorption are fundamental steps of SBSME. A polydimethylsiloxane-coated stir bar was deep in the sample solution during the analysis [46]. The quantity of sorbent used in commercial SBSME is approximately 125 μL, which is greater than that used in SPME. Owing to the hydrophobicity of the coating material, SBSME cannot be used for the analysis of highly hydrophilic compounds. To overcome this drawback, a number of investigators have projected the implementation of dual-phase stir bars, superior coating materials, molecularly imprinted polymers (MIPs), and monolithic materials. Newly promising materials (e.g., monoliths, metal-organic frameworks (MOFs), carbon nanotubes, graphene, graphene oxide, and porous organic polymers) are useful for coating purposes in SBSME [47]. In addition, novel high-performance materials such as nanomaterials, synthetic (e.g., electrospun fibers, and fabric phases), and natural polymers (e.g., cotton disks), as well as non-conventional solvents such as ionic liquids (ILs), magnetic ILs, deep eutectic solvents, and switchable solvents (e.g., secondary and tertiary amines) are used as effective extractants. These materials have several advantages such as the ability to process nano- to milliliter sample volumes for selective analysis and facile fabrication [48]. Currently, SBSME has become a valuable microextraction technique for the examination of semivolatile and volatile analytes from aqueous biological matrices because of its ease, accuracy, and cost-effectiveness. Recently, Peng et al. [49,50] determined naftopidil in urine and plasma samples as well as cefaclor and cefalexin in ecological water samples. SBSME was also used to monitor nitrosamines and chlorinated hydrocarbons in milk and polychlorinated biphenyl in serum samples.

3.1.4. Hollow fiber liquid-phase microextraction (HF-LPME)

HF-LPME is another microextraction technique with a small amount of extraction solvent (e.g., 10–20 μL) located inside a hollow tube made up of a hydrophobic porous fiber material (Fig. 2). The fiber is placed with an immiscible organic solvent, and therefore, the solvent is immobilized into the pores of the fiber to develop a supported liquid membrane (SLM). HF-LPME is an effective and economical microextraction method that can be easily programmed. It shows better solvent stability than SDME and no carry-over and memory effects because of the replaceable fibers. Other benefits include operation simplicity, swiftness, high reproducibility, clean extract, and a good enrichment factor. This method is currently popular but has a few disadvantages, such as adsorption of non-polar compounds on the fiber surface leading to blockage (e.g., plasma, blood, and urine samples) and air bubble generation on the fiber surface, which consequently decrease the transfer rate and lead to limited reproducibility [51].

Fig. 2.

Fig. 2

Hollow fiber liquid-phase microextraction technique.

SLM is an organic solvent found in the pores of fiber membranes; moreover, it preserves the acceptor inside the fiber lumen and thus circumvents leakage into the sample. This is a key reason for the implementation of this technique. However, the experimental framework for SLM is tedious, as it requires a peristaltic pump and a special unit machined from blocks of polytetrafluoroethylene [51,52]. Tahmasebi et al. [31] determined antidiabetic drugs (e.g., pioglitazone) in biological fluids. Bombana et al. [53] determined amphetamine, methamphetamine, fenproporex, 3,4-methylenedioxymethamphetamine, 3,4-methylene-dioxyamphetamine, and 3,4-methylene-dioxy-ethylamphetamine in whole blood samples. Ask et al. [54] developed a 96-well LPME technique for the determination of quetiapine, amitriptyline, nortriptyline, o-desmethylvenlafaxine, fluoxetine, and venlafaxine in human plasma.

3.1.5. DLLME

In 2006, Berijani et al. [55] introduced DLLME as a new alternative for bioanalytics. DLLME resembles the application of dispersive mid-polar organic solvents that are compoundable with both extraction solvents and water [56]. In DLLME, the dispersion procedure dramatically increases the extraction kinetics by enlarging the exposure surface between the sample and the extractant. Subsequently, the formed emulsion was split by centrifugation, and the extractant was isolated [57]. DLLME has several advantages, including simple operation, minimum sample volume, cost-effectiveness with high recovery, quick processing, and no necessity for any particular appliance. The drawback is the exercise of harmful halogenated solvents, including carbon tetrachloride, chloroform, and chlorobenzene [58].

Numerous studies have verified the application of DLLME to highly polar metabolites (e.g., neurotransmitters and folate derivatives). DLLME has been used to determine hexachlorocyclohexane isomers and pyrethroid pesticides in milk [59], cobalt-60 in environmental water samples [60], suvorexant in urine [61], crystal violet and brilliant green dyes in fish [62], synthetic cannabinoids in oral fluid [63], and in the quantification of 60 drugs of abuse [64]. Recently, Zhou et al. [65] studied dozens of neurotransmitters in human urine samples. Hansen et al. [66] determined aripiprazole, pipamperone, flupentixol, haloperidol, zuclopenthixol, and trifluoroperazine in plasma and blood. For the purpose of extraction and dispersion, methanol or dichloromethane was used as a solvent with a 200 μL sample volume.

To reduce the use of harmful solvents in extraction, newer trends in DLLME have recently been developed, namely, binary solvent (BS)-DLLME, air-assisted DLLME, and vortex-assisted LLME, the last of which resembles the solidification of floating organic droplets (DLLME-SFO) [67]. DLLME can also be applied for the simultaneous determination of metronidazole, ciprofloxacin, meropenem, linezolid, and piperacillin in human plasma samples [68]. BS-DLLME has been reported for the quantification of tramadol in urine samples [69]. In DLLME-SFO, a high-density water-immiscible solvent (e.g., dodecanol and 2-dodecanol) was used as the extractant. It has been used to determine orthophosphate [70,71], suvorexant, and malathion in urine samples [72]. The additional benefits, disadvantages, and applications of DLLME-SFO are similar to those of DLLME. Recently, ILs have been acknowledged as a potential choice for traditional DLLME techniques because of the exclusive properties shown by ILs from an environmental point of view, such as high thermal stability, nominal vapor pressure, and low flammability [73].

3.1.6. Solidified floating organic drop microextraction (SFODME)

The SFODME technique is dependent on the use of low-density organic solvents that easily solidify when placed in colder conditions and easily float on the surface of the sample solution (Fig. 3). SFODME has proven to be a method of choice for copper determination by flow injection flame atomic absorption spectrometry (FI-FAAS) and graphite furnace atomic absorption spectrometry [74]. SFODME has been used to determine indium [75], lead in food samples [76], cadmium [77], and glucocorticoids (e.g., cortisone acetate, prednisone, betamethasone, and dexamethasone) in animal-derived foods [78]. Recently, SFODME has been helpful for the identification of phenytoin and phenobarbital in plasma and urine samples [79]. Currently, an easy and fast syringe-to-syringe dispersive liquid-phase microextraction method with SFO drops has been developed and is useful for the analysis of ochratoxin-A [80], mercury in fish samples [81], and naproxen in plasma [82].

Fig. 3.

Fig. 3

Solidified floating organic drop microextraction technique.

3.1.7. Thin film microextraction (TFME)

TFME is a technique developed to address the limiting uptake rate in fiber microextraction. Because of its suitability for integrated sample preparation, it was introduced as an alternative to SPME. The major advantage of TFME is that it reduces sample handling with lower detection limits for the desired analytes. TFME mainly facilitates fast extraction kinetics and high extractive capacity. Recently, two eco-friendly approaches relying on TFME for water examination were submitted to interlaboratory validation using the US-EPA method-8270 [83,84]. TFME has been used to determine trace amounts of polycyclic aromatic sulfur heterocycles in seawater [85], to extract quercetin from plasma and food samples [86] and to identify five estrogens in biological matrices. Laser-induced breakdown spectroscopy (LIBS-TFME) was initially used to identify Cu, Cr, Ni, and Pb in aqueous solutions. In this technique, analytes are extracted in a thin film of adsorbent material (e.g., graphene oxide) deposited on a solid support [87,88].

3.1.8. EME

EME is a microextraction strategy based on mass transfer across an SLM. EME was introduced to reduce the extraction time. Primarily, the extraction depends on electrokinetic migration in an electrical field. EME has an advantage over the HF-LPME technique because it decreases the equilibrium time during SLM. EME is mainly convenient for the extraction of basic analytes with high polarity. EME can remove either cations or anions and has been verified as a valuable fractionation method for charged metabolite complex matrices. Currently, EME is mostly applied to moderately lipophilic ionized compounds, such as organic ions, from various matrices. Drouin et al. [89] investigated cardiovascular biomarkers and hydrophilic analytes (e.g., choline, betaine, trimethylamine-N-oxide, 1-carnitine, and deoxy-l-carnitine) in plasma. Alternatively, EME has been applied to nonsteroidal anti-inflammatory drugs (NSAIDs) such as diclofenac, salicylic acid, ketorolac, ketoprofen, naproxen, ibuprofen, barbiturates, anthracyclines, and tetracyclines in plasma [90]. Recently, aristolochic acid and antipsychotic drugs (e.g., risperidone, chlorprothixene, and haloperidol) were separated in whole blood and urine and analyzed by electromembrane extraction-liquid chromatography tandem-mass spectrometry (EME-LC-MS/MS) [91,92]. Mainstream pharmaceuticals are basic or acidic in nature, and therefore can be easily studied by EME.

3.2. Solid-phase nano-extraction (SPNE)

SPNE is another approach that depends on the sound affinity of analytes to adsorbents consisting of nanoparticles (NPs). SPNE retains the merits of SPME and shows novel advantages, such as a better adsorption area, several active sites for recognition of the analyte(s), modificative solid NP surfaces, and controllable surface states [93]. Due to several applications, SPNE is set as a green extraction practice. The SPNE technique has been used to determine polychlorinated biphenyls, carbaryl, and mercury ions in environmental water and polycyclic aromatic hydrocarbons in drinking water [94,95]. In addition, magnetic NPs have been recommended primarily for blood, serum, plasma, milk, tissue extracts, and urine sample preparations [96,97].

3.3. Microsample preparation techniques

Microsample preparation techniques involve sample preparation of small sample volumes (<50 μL) of biological fluids. They can improve animal welfare, that is, smaller numbers of animals are required in studies due to the reduction in the volume of biological matrices. Microsample preparation aligns with the 3R (reducing, reusing, and recycling) benefit strategy in nonclinical studies. Apart from this, microsample preparation possesses business considerations such as minimal inventory in animal husbandry, sample storage, shipment, and analysis [98].

3.3.1. Cloud point extraction (CPE)

In 1976, Miura et al. [99] established a CPE technique. CPE is based on surfactant solutions that become cloudy and separate into two isotropic phases. CPE has several merits over SPE, LLE, and SPME. CPE does not require the utilization of organic solvents; hence, the samples needed for the analysis were lower in amounts. The surfactants used in CPE are harmless and cheap, and have been utilized for the estimation of metals and several chemical moieties (e.g., drugs, vitamins, and pesticides) in diverse biological matrices [100] using green surfactants [101]. CPE is a method of choice for saliva analysis in bioanalytics [[102], [103], [104]]. CPE has advantages such as simplicity, low cost, higher extraction kinetics, and eco-friendly profile over other sample preparation techniques. However, there is little information on the function of CPE in bioanalysis. Antazoline was determined in human plasma by a surfactant (e.g., Triton X-114), followed by liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-ESI-MS/MS) [105]. Additionally, CPE was used to determine chlorogenic acid, deoxynojirimycin, rutin, isoquercitrin, and astragalin in mulberry leaves [106,107]. Thus, matrix effects should be evaluated when combined with LC-MS. Screening reveals that CPE-LC-MS is not related to notable matrix effects [108,109]. Wei et al. [110] reported a dual-cloud point extraction (d-CPE). In the first CPE process, the desired analytes were caught from the sample to the surfactant-rich phase and later extracted to the aqueous solution through the surfactant-rich phase. d-CPE was also used to determine an element in serum and saliva samples as well as sulfonamides in urine samples [111].

3.3.2. Microdialysis

Microdialysis is a well-known method that is usually useful in regular bioanalytical research, where a probe with a tiny semipermeable membrane is positioned in the desired tissue. Microdialysis not only restricts dull sample preparation and cleaning protocols in bioanalysis, but also permits concurrent sampling at several sites with rapid and simple operation [73]. Microdialysis has been used to collect macromolecule-free samples in complex biological matrices [112]. A small microdialyser that ends with a perm-selective membrane was fixed into the human body to obtain a sample by perfusion (Fig. 4). Microdialysis has been proven to be a dominant technique for the pharmacokinetic (PK) study of an extensive choice of analytes from organs (e.g., brain, blood vessels, muscle, kidney, tumor, liver, skin, and gastrointestinal tract) to identify metabolites with xenobiotics from the interstitial space. Microdialysis has been used to determine serotonin, dopamine, methamphetamine, amphetamine, 4-hydroxymethamphetamine, 4-hydroxyamphetamine [113], and vancomycin in various biological fluids [114]. Currently, microdialysis possesses an extensive ability for in vivo investigations. It is capable of real-time analysis, but the analysis is restricted to polar molecules.

Fig. 4.

Fig. 4

Microdialysis assembly sample preparation technique.

3.3.3. Cerebral microdialysis (CMD)

CMD is a sample preparation technique for brain extracellular fluid (ECF) [115]. CMD is a persistent method in which the interstitial fluid can be directly sampled. At the cellular level, one drawback is that it also accounts for unbound drug concentrations [116]. CMD has a probe-based mechanism that permits a discrete volume of the brain to be sampled for neurochemical investigation of biomarkers, neurotransmitters, metabolites, peptides, proteins, and chemotherapeutic drugs (e.g., temozolomide and methotrexate). CMD can be used to study brain tumors and is important for improving the cure of glioma [117], with respect to examining cerebral drainage in the jugular bulb [118] and diagnosing Japanese encephalitis virus [119].

3.3.4. Dried blood spot (DBS)

In 1963, Guthrie and Susi [120] introduced DBS to monitor the inborn metabolism defects in neonates. DBS is based on the principle of adsorption of biological components on the surface of a membrane carrier, followed by drying [121]. Recently, DBS has gained wide attention in bioanalytical and clinical laboratories. DBS resembles metabolomics examination, providing a dominant tool for studying new biomarkers and facilitating therapeutic drug monitoring [122,123].

DBS samples are easy to collect, store, and convey to places other than whole blood, serum, or plasma. DBS benefits clinical trial studies by reducing blood sample preparation volume. The rising exercise of DBS in preclinical studies resulted in a five-fold reduction in blood collection volume. DBS has a considerable optimistic impact on accuracy and data quality in animal studies (Fig. 5).

Fig. 5.

Fig. 5

Dried blood spot sample preparation technique.

Because of the complex nature of whole blood, DBS specimens are more prone to matrix effects than the quantification of serum or plasma. Evaluation of the internal standard prior to sample preparation provides more benefits to compensate for matrix effects. Damen et al. [124] reported the simultaneous quantification of vincristine and actinomycin-D by DBS. Recently, Fischer et al. [125] reported DBS as a promising sample preparation technique for psycho-neuro-endocrinological research and for the screening of creatinine, cystathionine, guanidinoacetate, and carnitine in newborns [126]. In 2018, Bjornstad et al. [127] reported the capillary DBS technology for accurate glomerular filtration rate measurements. DBS has also been used for monitoring cocaine [128], acryl amide [129], and doping agents in blood samples [130].

3.3.5. Dried plasma spot (DPS)

Similar to DBS, DPS is a new emerging technique for the early diagnosis of neurodegenerative disorders. The DPS is a unique two-filter-paper-based remote blood collection tool [131]. It offers numerous benefits compared to conventional plasma collection methods. Dried spot collection on filter paper is easy, has no requirement for refrigeration, and can be transported with the least biohazard risk. These benefits offer significant flexibility to DPSs with respect to the classical methods of sample preparation. DPS has been used to determine fosfomycin, ritonavir, trimethoprim, and sulfamethoxazole in biological matrices [[132], [133], [134]]. Recently, DPS was shown to be suitable for the determination of amikacin, lithium, abiraterone, Δ(4)-abiraterone, lamotrigene, ceftolozane, fluoroquinolones, gabapentin, and caffeine in biological matrices [135,136]. DPS has proven to be a prominent technique when applied to PK studies, where plasma sample preparation is rapid and requires negligible plasma volumes [137].

3.3.6. Dried saliva spot (DSS)

In 2014, Abdel-Rehim et al. [138] introduced the DSS technique to monitor lidocaine as a model compound. DSS is a minimally invasive method for investigating salivary protein allocation in the oral cavity. DSS has several advantages, such as cost-effectiveness and easy and noninvasive sample collection [139]. DSS is promising and convenient in terms of sample preparation and extraction procedures compared to other techniques. Therefore, DSS increases the use of saliva to identify circulating biomarkers in the diagnosis of Alzheimer's disease [140], the detection of matrix metalloproteinase-1 as one of the most promising salivary biomarkers for oral squamous cell carcinoma (OSCC) [141], and the detection of (dl)-lactic acid for diabetes mellitus [142,143]. DSS has been used to determine methadone and its major metabolite 2-ethylidene-1,5-dimethyl-3,3-diphenylpyrrolidine (EDDP) in saliva [144] and 5-fluorouracil and six NSAIDs in the saliva of healthy volunteers [145]. DSS has gained advantages in evaluating the proteomes produced by salivary glands. DSS could be beneficial for the examination of local anesthetics (e.g., lidocaine) and for tracking a migraine drug compound and lactate in diabetic patients [146]. Recent studies have shown that paper microfluidic device can be applied to sense glucose and lactate in saliva samples [147] and cortisol and caffeine in biological matrices [148].

3.3.7. Dried urine spot (DUS)

DUS has been projected under various conditions to lower costs related to specimen collection, handling, storage, and transport in therapeutic investigations [149]. This technique enables the multianalyte detection of drugs of abuse in dried urine specimens. DUS was used to confirm the accumulation of methylcitrate, a biochemical hallmark of inborn errors in propionate metabolism [150]. It has also been used as an easy screening tool for congenital cytomegalovirus (CMV) infection in newborns [151]. DUS can also be used to determine several drugs (e.g., antidepressants, neuroleptics, opioids, benzodiazepines, cardiovascular drugs, and stimulants) as well as molybdenum, titanium, and organophosphate pesticides in urine samples [152]. DUS has the potential to be an alternative technique for drug and metabolite testing.

3.3.8. Volumetric absorptive microsample (VAMS) preparation technique

VAMS is a modern microsample preparation method applied to obtain dried specimens of biological matrices for bioanalytical purposes. VAMS is based on the same principle as DBS. VAMS has a few promising merits over DBS in terms of sample preparation, such as pretreatment, automation, volume accuracy, and hematocrit reliance. It allows reduction of volume from milliliters to microliters (sample volume approximately 10 μL). Microsample preparation devices (e.g., Mitra® and HemaPEN®) have overcome almost all the drawbacks of classical sample preparation with a few additional benefits. The VAMS device ensures homogeneity of the sample because a precise volume is absorbed onto the tip. This device enables ease of sample pretreatment as the centrifugation step of the liquid matrix, and the sub-punching step of DBS is eliminated. VAMS has been used to obtain dried specimens of blood and biological matrices. Recently, VAMS was applied to carry out LC-MS-based determination of vitamins, cefepime [153], and cocaine in human whole blood [154], and monitoring of anti-epileptic drugs [155]. VAMS was proven to be an innovative strategy for monitoring tacrolimus levels in transplant recipients [156]. In the near future, VAMS may be recognized as a feasible alternative to DBS and other dried microsample preparation techniques [157].

3.3.9. Capillary microsample (CMS) preparation technique

CMS is a generic technique for the collection and handling of tiny volumes of liquid biological matrices. Fulfilling the objective of microsampling, CMS has proven to be superior to conventional sampling in terms of less sample volume, reduced processing steps, and stabilization of labile metabolites by quick sample dilution. The sample was collected in a glass capillary (1–35 μL). Therefore, CMS replaced classical large volume sample preparation techniques. CMS has been developed in response to the need for ethical use of animals in research because reanalysis of already diluted samples is possible, which reduces the requirement of blood samples from animals [158]. CMS provides an automated handling tool with less time for stabilization, which offers a new opportunity for labile analytes. As a technique that can provide refinement in blood sample preparation, CMS can be easily adapted to safety pharmacological studies [159]. CMS was used to determine NSAIDs (e.g., diclofenac, celecoxib, and tenoxicam) in Swiss albino mice [160].

3.3.10. Spin column extraction (SCE)

In 2015, Namera and Saito [161] initially established SCE as a sample preparation technique. Here, spin columns are utilized for monolithic silica disk packing, which utilizes the principle that target molecules bind to immobilized silica in the column. Several spin columns are manufactured and available in the market (e.g., C18–C, C18-SCX, and C18–TiO). C18-SCX is applied for the simultaneous determination of acidic and basic drugs with better accuracy and precision and shows no obstruction of endogenous substances [162]. SCE has several merits such as simple modus operandi, lesser elution volume, restricted solvent evaporation, and simultaneous processing of a number of analytes [7]. First-time users of SCE should pay attention to the flow rate and not dry the SPE column to achieve good accuracy. SCE was found to be helpful in the extraction of parabens in milk; beta-blockers, chlorophenols [163], fenitrothion, and amphetamines in human urine; eperisone in serum; and opiates, benzodiazepines, amines, and carboxylic acids in biological matrices [164].

3.4. Sorbent-based microextraction techniques

Currently, for the development of supramolecular microextraction [22], SPME fibers (ILs) [165], immuno-sorbents (ISs), metal nanoparticles (NPs), mesoporous-nanoporous silicates, carbo-nanomaterials, MIPs, electrospun fibers [166], and MOFs [167] have become a hot research field and will be discussed [110,168]. The main sample preparation methods include SPME as mentioned earlier, pressurized liquid extraction [169], microextraction by packed sorbent MIPs [170], carbon nanomaterials integrated MIPs [171], monolith spin extraction [172], turbulent flow chromatography, salting-out liquid-liquid extraction (SALLE), and stir bar sportive extraction (SBSE).

3.4.1. Restricted access materials (RAMs)

RAMs permit the clean-up of biological fluids through physicochemical diffusion barriers. RAMs are composed of a porous material with a restrictive and hydrophilic outer surface [173]. RAMs permit repetitive injection of complex biological matrices [1]. RAMs have been used for the rapid analysis of pyrethroids in whole urine samples [174]. RAMs are named as ‘intelligent’ sorbents due to their ability to retain analytes and exclude macromolecules. They have been applied to the resolution of organic and inorganic analytes from various biological matrices [48].

Additive manufacturing, also termed three-dimensional (3D) printing, has underwent a fabulous path over the past few years as a promising technology [175]. The application of 3D printing has grown in the field of bioanalytics to influence exclusive features. 3D printing offers major applications in sample preparation, optical sensing, and biosensing [48,[176], [177], [178]].

3.4.2. Microextraction by packed sorbent (MEPS)

Nowadays, MEPS is a popular miniaturized sample preparation technique in bioanalysis that adheres to the advantages such as automated, simple operation, and cost-effectiveness. In general, MEPS consists of four stages such as sample loading with washing, elution, and sorbent post-cleaning. In MEPS, the solvent volume used for the elution of the analytes is small (10–50 μL). The MEPS cartridge is packed with sorbent materials to provide suitability in operation. Several sorbents used in MEPS are cation exchanger, graphene oxide [179], reduced graphene oxide [180], organic monoliths, carbon NPs, ISs, and MIPs. Recently, MEPS has been applied in the determination of zonisamide, meropenem, levofloxacin, statins, and fluoxetine in plasma. In addition, MEPS is also beneficial for the determination of beta-blocker, mandelic acid, antidepressants, and asthma biomarkers in urine as well as psychoactive drugs, lamotrigine, and local anesthetics in saliva samples [48].

3.5. Other promising bioanalytical sample preparation techniques

Some recent developments with the advantages of well-known bioanalytical sample preparation techniques are briefly described here.

3.5.1. Biofluid sampling (BFS)

BFS has proven to be a novel technique for the investigation of whole blood samples. BFS is capable of whole blood sampling without converting it into plasma or serum. A sampler can hold a whole blood sample of 10–1000 μL. In contrast, BFS shares operational principles similar to DBS with the abolition of technical drawbacks. BFS offers a novel and extremely simplified approach for whole blood sample preparation. It is expected to renovate the existing practice of blood investigations. BFS has been used to determine ketoprofen, carprofen, and diclofenac in human whole blood [181].

3.5.2. Aptamers

Recently, aptamers have gained significant attention in scientific research. Aptamers are chemical oligonucleotides that bind to specific target molecules. Aptamers have gained substantial attention as molecular detection elements in the clinical field, therapeutics, and bioanalytics [182]. Aptamers have been adapted for the selective extraction of cocaine [183] and tetracyclines [184] in biological fluids and antibiotics in food matrices [185]. Recently, aptamers have been used as surface drug nanocarriers in anticancer therapy [186], and their clinical and bioanalytical applications are growing rapidly.

3.5.3. Microfluidic-based devices

The combination of automated and miniaturized techniques using microfluidic-based devices established a novel chip-based extraction approach, which offers a suitable tool for sampling in bioanalysis. This enables rapid analysis, thus diminishing related freeze-thaw issues. Lin and co-workers [[187], [188], [189], [190]] have studied the majority of microfluidic-based devices as novel approaches. Subsequently, droplet microfluidic technology has been used as a powerful tool in bioanalysis. It has several advantages, including being rapid, portable, and reliable, and ideally without having the need for pretreatment steps [191,192]. In contrast, researchers have made significant efforts toward the development of paper-based analytical devices, which have gained significant interest in recent years [193]. These analytical devices have huge potential in developing portable and disposable platforms for rapid disease-relevant findings with predictions based on glucose, lactate, cortisol, caffeine, and uric acid biomarkers [194].

Table 1 [7,31,[34], [35], [36],[41], [42], [43], [44],[48], [49], [50],53,54,59,61,65,66,78,79,82,86,89,90,100,105,113,114,117,124,126,[128], [129], [130],[132], [133], [134], [135], [136],141,142,145,146,148,[152], [153], [154], [155],160,163,164,195,196] summarizes the sample preparation techniques and analytes extracted from biological matrices using sophisticated analytical techniques.

Table 1.

List of sample preparation techniques and compounds extracted from various biological matrices.

Sample preparation techniques Biological matrices Analytical techniques Major merits Compounds extracted Refs.
SPE Ovaries, testes, liver, serum, urine, plasma UPLC-TOF/MS, LC-MS Rapid, automatic, and quantitative Ketamine, norketamine, venlafaxine, maleic acid, stiripentol, and retigabine [7,195,196]
LLE Serum, urine, CSF, saliva, plasma, tissue GC-MS, LC-MS Simple, high recovery, and automatic Serum fatty, hormone, naproxen, metoclopramide, and ketamine [7]
SPE/LLE Tear, aqueous humor, vitreous body HPLC-MS/MS, LC-MS/MS Rapid and automatic via robotics technology Kinase inhibitor and metabolite [7]
AALLME Biological fluids LC-MS/MS High extraction recovery, low solvent consumption, easy handling, and economical nature Fluoroquinolone, penconazole, and warfarin [[34], [35], [36]]
HS-SPME Human urine, exhaled breath GC-TOF/MS Simple operation and cost effective Amines, amides, hydrocarbons, aldehydes, ketones, esters, alcohols, ethers, carboxylic acids, nitriles, terpenoids, cycloalkanes, and heterocyclic compounds [41]
SDME Biological fluids LC-MS Simple, economical, ecofriendly, and no carryover Anesthetics, pyrethroid pesticides, ranitidine, ethanol, and chromium [[42], [43], [44]]
MEPS Plasma, urine, saliva GC-MS, LC-MS, LC-UV Automated, simple operation, and cost effective Zonisamide, meropenem, levofloxacin, statins, fluoxetine, beta-blocker, mandelic acid, antidepressants, lamotrigine, and local anesthetics [48]
SBSME Plasma, urine, milk, serum HPLC-UV, HPLC-ICP-MS, LC-MS Accuracy, cost-effective, and effective extractant phases Naftopidil, cefaclor, cefalexin, nitrosamines, chlorinated hydrocarbons, and polychlorinated biphenyl [49,50]
HF-LPME Whole blood, plasma GC-MS, LC-MS/MS Better solvent stability, high reproducibility, clean extract, and good enrichment factor Pioglitazone, amphetamine, methamphetamine, fenproporex, 3,4-methylenedioxymethamphetamine, 3,4-methylene-dioxy-ethylamphetamine,3,4-methylene-dioxyamphetamine, quetiapine, fluoxetine, venlafaxine, O-desmethylvenlafaxine, amitriptyline, and nortriptyline [31,53,54]
DLLME Milk, plasma, whole blood, urine UHPLC-MS/MS, HPLC-UV,GC-MS/MS Simple operation, minimum sample volume, cost-effective with high recovery, and quick processing Hexachlorocyclohexane isomers, haloperidol, pyrethroid pesticides, malathion, suvorexant, aripiprazole, neurotransmitters, metronidazole, meropenem, ciprofloxacin, linezolid, flupentixol, piperacillin, trifluoroperazine, pipamperone, and zuclopenthixol [54,59,61,65,66]
SFODME Plasma, Urine LC-MS Simple operation and low solvent requirement Cortisone acetate, prednisone, betamethasone, dexamethasone, phenobarbital, phenytoin, and naproxen [78,79,82]
TFME Plasma UHPLC, LC-MS/MS Reducing the sample handling with lower detection limits of analytes, economical Estrogens and quercetin [86]
EME Plasma, whole blood, urine UHPLC, LC-MS/MS Low equilibrium time and compatible with analytical instruments Choline, betaine, trimethylamine-N-oxide, 1-carnitine, deoxy-l-carnitine, diclofenac, salicylic acid, ketorolac, ketoprofen, naproxen, ibuprofen, anthracyclines, and tetracyclines [89,90]
CPE Plasma, serum, milk, and urine LC-MS/MS Harmless, cheap, simplicity, higher extraction kinetics, and ecofriendly Antazoline, pesticides, and vitamins [100,105]
Microdialysis Biological fluids LC-MS/MS Rapid, simple operation, and selective technique for PK studies Dopamine, serotonin, amphetamine, 4-hydroxyamphetamine, methamphetamine, 4-hydroxymethamphetamine, and vancomycin [113,114]
Cerebral microdialysis Interstitial fluid GC-MS, LC-MS/MS Highly selective technique Neurotransmitters, metabolites, biomarkers, peptides, proteins, methotrexate, and temozolomide [115]
DBS Whole blood LC-MS, UHPLC, GC-MS Benefits preclinical testing, low sample requirement, and high accuracy Vincristine, actinomycin-D, creatinine, cystathionine, guanidinoacetate, cocaine, acryl amide, and doping agents [124,126,[128], [129], [130]]
DPS Plasma LC-MS, UHPLC, UHPLC-MS/MS Easy operation, least biohazard risk, and no refrigeration required Fosfomycin, ritonavir, trimethoprim and sulfamethoxazole, amikacin, lithium, abiraterone, Δ(4)-abiraterone, lamotrigene, ceftolozane, fluoroquinolones, gabapentin, and caffeine [[132], [133], [134], [135], [136]]
DSS Saliva LC-MS, UHPLC, GC-MS Cost effective, easy, and noninvasive sample collection Metalloproteinase-1, dl-lactic acid, methadone, 5-fluorourasil, NSAIDs, lidocaine, cortisol, and caffeine [141,142,145,146,148]
DUS Human urine LC-MS, GC-MS Low cost and easy screening Methylcitrate, antidepressants, benzodiazepines, cardiovascular drugs, neuroleptics, opioids, stimulants, molybdenum, titanium, and organophosphate pesticides [152]
VAMS Biological fluids LC-MS, UHPLC, GC-MS Homogeneity of the sample, precise, and accurate Vitamins, cefepime, cocaine, tacrolimus, and anti-epileptic drugs [[152], [153], [154], [155]]
CMS Serum, blood LC-MS, UHPLC, GC-MS Low sample requirement, quick sample dilution, and rapid Diclofenac, celecoxib, and tenoxicam [160]
SCE Biological fluids, milk, urine, serum LC-MS, UHPLC, GC-MS Simple modus operandi, less elution volume, restricted solvent evaporation, and simultaneous processing of a number of analytes Parabens, beta blockers, chlorophenols, fenitrothion amphetamines, eperisone, opiates, benzodiazepines, amines, and carboxylic acids [161,164]

SPE: solid phase extraction; LLE: liquid-liquid extraction; HS-SPME: head space-single drop microextraction; AALLME: air-assisted liquid-liquid microextraction; SDME: single drop microextraction; MEPS: microextraction by packed sorbent; SBSME: stir bar sorptive microextraction; HF-LPME: hollow fiber-liquid phase microextraction; DLLME: dispersive liquid-liquid microextraction; SFODME: solidified floating organic drop microextraction; TFME: thin film microextraction; EME: electromembrane extraction; CPE: cloud point extraction; DBS: dried blood spot; DPS: dried plasma spot; DSS: dried saliva spot; DUS: dried urine spot; VAMS: volumetric absorptive microsample; CMS: capillary microsample; SCE: spin column extraction.

4. Conclusions and future perspectives

Bioanalysis is a key component of the discovery and development of pharmaceuticals. To combat the rising cost of drug development and increased sensitivity and specificity, new sample preparation and analyte detection techniques are being adopted. Moreover, many researchers are making the modification and improvement of classical techniques globally. Currently, laboratory automation is a key feature of easy, rapid, and eco-friendly methods. These newer techniques render miniaturization and rapid automatic high-throughput analysis possible. It is projected that these techniques for sample preparation will become mainstream in the near future. The current manuscript reveals dozens of promising bioanalytical sample preparation techniques, including SPME, LPME, AALLME, DLLME, CPE, SBSME, and CMD. The key features of several sample preparation techniques are summarized. A few sample preparation techniques (e.g., SPME, SDME, LPME, and DLLME) are easy, rapid, and economical but difficult to automate. Among them, SPME is the most accepted sample preparation technique for biological matrices but may be replaced by newer techniques. The DBS technique is well known and adopted for patients undergoing clinical trials, which require preparation of a large amount of sample from participating volunteers. Newer sample preparation techniques, such as capillary microsample preparation, VAMS, TFME, DSS, DUS, and dual-CPE have been found to be more precise, popular, and useful than classical techniques. Recently, the rapid increase in the application of ILs, aptamers, NPs, and microfluidic-based devices in bioanalysis has simplified analysis. Various available methodologies for sample preparation, especially when coupled with sophisticated analytical techniques, will greatly assist in the establishment of future drug metabolism and PK, pharmacodynamics, toxicokinetics, and bioequivalence studies of pharmaceutical discovery and development.

CRediT author statement

Rahul G. Ingle: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing - Original draft preparation; Su Zeng: Methodology, Supervision, Resources; Huidi Jiang: Methodology, Supervision, Resources; Wei-Jie Fang: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing - Reviewing and Editing.

Declaration of competing interest

The authors declare that there are no conflicts of interest.

Acknowledgments

We are grateful to the National Natural Science Foundation of China (Grant No.: 81741144) and Ministry of Science and Technology of the People's Republic of China (Grant No.: 2018ZX09J18107-002) for their financial assistance.

Footnotes

Peer review under responsibility of Xi'an Jiaotong University.

References

  • 1.Bylda C., Thiele R., Kobold U., et al. Recent advances in sample preparation techniques to overcome difficulties encountered during quantitative analysis of small molecules from biofluids using LC-MS/MS. Analyst. 2014;139:2265–2276. doi: 10.1039/c4an00094c. [DOI] [PubMed] [Google Scholar]
  • 2.Medvedovici A., Bacalum E., David V. Sample preparation for large-scale bioanalytical studies based on liquid chromatographic techniques. Biomed. Chromatogr. 2018;32 doi: 10.1002/bmc.4137. [DOI] [PubMed] [Google Scholar]
  • 3.Vaghela A., Patel A., Patel A., et al. Sample preparation in bioanalysis: A review. Int. J. Sci. Tech. Res. 2016;5:6–10. [Google Scholar]
  • 4.Kohler I., Guillarme D. Multi-target screening of biological samples using LC-MS/MS: Focus on chromatographic innovations. Bioanalysis. 2014;6:1255–1273. doi: 10.4155/bio.14.80. [DOI] [PubMed] [Google Scholar]
  • 5.Lopes B.R., Barreiro J.C., Cass Q.B. Bioanalytical challenge: A review of environmental and pharmaceuticals contaminants in human milk. J. Pharm. Biomed. Anal. 2016;130:318–325. doi: 10.1016/j.jpba.2016.06.012. [DOI] [PubMed] [Google Scholar]
  • 6.Deda O., Gika H.G., Wilson I.D., et al. An overview of fecal sample preparation for global metabolic profiling. J. Pharm. Biomed. Anal. 2015;113:137–150. doi: 10.1016/j.jpba.2015.02.006. [DOI] [PubMed] [Google Scholar]
  • 7.Niu Z., Zhang W., Yu C., et al. Recent advances in biological sample preparation methods coupled with chromatography, spectrometry and electrochemistry analysis techniques. TrAC Trends Anal. Chem. 2018;102:123–146. [Google Scholar]
  • 8.Nunes de Paiva M.J., Menezes H.C., de Lourdes Cardeal Z. Sampling and analysis of metabolomes in biological fluids. Analyst. 2014;139:3683–3694. doi: 10.1039/c4an00583j. [DOI] [PubMed] [Google Scholar]
  • 9.Rosenthal T.B. The effect of temperature on the pH of blood and plasma in vitro. J. Biol. Chem. 1948;173:25–30. [PubMed] [Google Scholar]
  • 10.Fernández-Peralbo M.A., Luque de Castro M.D. Preparation of urine samples prior to targeted or untargeted metabolomics mass-spectrometry analysis. TrAC Trends Anal. Chem. 2012;41:75–85. [Google Scholar]
  • 11.Inoue K., Harada K., Takenaka K., et al. Levels and concentration ratios of polychlorinated biphenyls and polybrominated diphenyl ethers in serum and breast milk in Japanese mothers. Environ. Health Perspect. 2006;114:1179–1185. doi: 10.1289/ehp.9032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Nunes L.A.S., de Macedo D.V. Saliva as a diagnostic fluid in sports medicine: Potential and limitations. J. Bras. Patol. Med. Lab. 2013;49:247–255. [Google Scholar]
  • 13.de Giovanni N., Fucci N. The current status of sweat testing for drugs of abuse: A review. Curr. Med. Chem. 2013;20:545–561. doi: 10.2174/0929867311320040006. [DOI] [PubMed] [Google Scholar]
  • 14.Wan J.Y., Liu P., Wang H.Y., et al. Biotransformation and metabolic profile of American ginseng saponins with human intestinal microflora by liquid chromatography quadrupole time-of-flight mass spectrometry. J. Chromatogr. A. 2013;1286:83–92. doi: 10.1016/j.chroma.2013.02.053. [DOI] [PubMed] [Google Scholar]
  • 15.Roseboom I.C., Rosing H., Beijnen J.H., et al. Skin tissue sample collection, sample homogenization, and analyte extraction strategies for liquid chromatographic mass spectrometry quantification of pharmaceutical compounds. J. Pharm. Biomed. Anal. 2020;191 doi: 10.1016/j.jpba.2020.113590. [DOI] [PubMed] [Google Scholar]
  • 16.Smith K.M., Xu Y. Tissue sample preparation in bioanalytical assays. Bioanalysis. 2012;4:741–749. doi: 10.4155/bio.12.19. [DOI] [PubMed] [Google Scholar]
  • 17.Buszewski B., Szultka M. Past, present, and future of solid phase extraction: A review. Crit. Rev. Anal. Chem. 2012;42:198–213. [Google Scholar]
  • 18.Alexovič M., Dotsikas Y., Bober P., et al. Achievements in robotic automation of solvent extraction and related approaches for bioanalysis of pharmaceuticals. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2018;1092:402–421. doi: 10.1016/j.jchromb.2018.06.037. [DOI] [PubMed] [Google Scholar]
  • 19.Arthur C.L., Pawliszyn J. Solid-phase microextraction with thermal desorption using fused silica optical fibers. Anal. Chem. 1990;62:2145–2148. [Google Scholar]
  • 20.Boyaci E., Rodríguez-Lafuente Á., Gorynski K., et al. Sample preparation with solid phase microextraction and exhaustive extraction approaches: Comparison for challenging cases. Anal. Chim. Acta. 2015;873:14–30. doi: 10.1016/j.aca.2014.12.051. [DOI] [PubMed] [Google Scholar]
  • 21.Vas G., Vékey K. Solid-phase microextraction: a powerful sample preparation tool prior to mass spectrometric analysis. J. Mass Spectrom. 2004;39:233–254. doi: 10.1002/jms.606. [DOI] [PubMed] [Google Scholar]
  • 22.de Oliveira F.M., Scheel G.L., Augusti R., et al. Supramolecular microextraction combined with paper spray ionization mass spectrometry for sensitive determination of tricyclic antidepressants in urine. Anal. Chim. Acta. 2020;1106:52–60. doi: 10.1016/j.aca.2020.01.061. [DOI] [PubMed] [Google Scholar]
  • 23.Jalili V., Barkhordari A., Ghiasvand A. A comprehensive look at solid-phase microextraction technique: a review of reviews. Microchem. J. 2020;152 [Google Scholar]
  • 24.Matys J., Gieroba B., Jóźwiak K. Recent developments of bioanalytical methods in determination of neurotransmitters in vivo. J. Pharm. Biomed. Anal. 2020;180 doi: 10.1016/j.jpba.2019.113079. [DOI] [PubMed] [Google Scholar]
  • 25.Burlikowska K., Stryjak I., Bogusiewicz J., et al. Comparison of metabolomic profiles of organs in mice of different strains based on SPME-LC-HRMS. Metabolites. 2020;10 doi: 10.3390/metabo10060255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.March J.G., Genestar C., Simonet B.M. Determination of 2-ethylhexyl 4-(dimethylamino) benzoate using membrane-assisted liquid-liquid extraction and gas chromatography-mass spectrometric detection. Anal. Bioanal. Chem. 2009;394:883–891. doi: 10.1007/s00216-009-2770-4. [DOI] [PubMed] [Google Scholar]
  • 27.Galievsky V., Pawliszyn J. Fluorometer for screening of doxorubicin in perfusate solution and tissue with solid-phase microextraction chemical biopsy sampling. Anal. Chem. 2020;92:13025–13033. doi: 10.1021/acs.analchem.0c01905. [DOI] [PubMed] [Google Scholar]
  • 28.Kokosa J.M. Advances in solvent microextraction techniques. TrAC Trends Anal. Chem. 2013;43:2–13. [Google Scholar]
  • 29.Pedersen-Bjergaard S., Rasmussen K.E. Bioanalysis of drugs by liquid-phase microextraction coupled to separation techniques. J. Chromatogr. B. 2005;817:3–12. doi: 10.1016/j.jchromb.2004.08.034. [DOI] [PubMed] [Google Scholar]
  • 30.Choi K., Kim J., Chung D.S. Single-drop microextraction in bioanalysis. Bioanalysis. 2011;3:799–815. doi: 10.4155/bio.11.3. [DOI] [PubMed] [Google Scholar]
  • 31.Tahmasebi E., Yamini Y., Saleh A. Extraction of trace amounts of pioglitazone as an anti-diabetic drug with hollow fiber liquid phase microextraction and determination by high-performance liquid chromatography-ultraviolet detection in biological fluids. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2009;877:1923–1929. doi: 10.1016/j.jchromb.2009.05.033. [DOI] [PubMed] [Google Scholar]
  • 32.Farajzadeh M.A., Mogaddam M.R.A. Air-assisted liquid-liquid microextraction method as a novel microextraction technique; application in extraction and preconcentration of phthalate esters in aqueous sample followed by gas chromatography-flame ionization detection. Anal. Chim. Acta. 2012;728:31–38. doi: 10.1016/j.aca.2012.03.031. [DOI] [PubMed] [Google Scholar]
  • 33.Farajzadeh M.A., Mohebbi A., Pazhohan A., et al. Air-assisted liquid-liquid microextraction; principles and applications with analytical instruments. TrAC Trends Anal. Chem. 2020;122 [Google Scholar]
  • 34.Wang L., Huang T., Cao H.X., et al. Application of air-assisted liquid-liquid microextraction for determination of some fluoroquinolones in milk powder and egg samples: Comparison with conventional dispersive liquid-liquid microextraction. Food Anal. Methods. 2016;9:2223–2230. [Google Scholar]
  • 35.Farajzadeh M.A., Feriduni B., Mogaddam M.R.A. Determination of triazole pesticide residues in edible oils using air-assisted liquid-liquid microextraction followed by gas chromatography with flame ionization detection. J. Separ. Sci. 2015;38:1002–1009. doi: 10.1002/jssc.201400818. [DOI] [PubMed] [Google Scholar]
  • 36.Majidi S.M., Hadjmohammadi M.R. Hydrophobic borneol-based natural deep eutectic solvents as a green extraction media for air-assisted liquid-liquid micro-extraction of warfarin in biological samples. J. Chromatogr. A. 2020;1621 doi: 10.1016/j.chroma.2020.461030. [DOI] [PubMed] [Google Scholar]
  • 37.Rathnasamy S.K., Balaraman H.B., Muniasamy R. Air-assisted dispersive liquid phase microextraction coupled chromatography quantification for purification of therapeutic lectin from aloe vera – A potential COVID-19 immune booster. Microchem. J. 2021;165 [Google Scholar]
  • 38.Farajzadeh M.A., Dabbagh M.S., Yadegari A., et al. Air-assisted liquid-liquid microextraction vs. dispersive liquid-liquid microextraction; a comparative study for the analysis of multiclass pesticides. Anal. Bioanal. Chem. Res. 2019;6:29–46. [Google Scholar]
  • 39.Liu H., Dasgupta P.K. Analytical chemistry in a drop. Solvent extraction in a microdrop. Anal. Chem. 1996;68:1817–1821. doi: 10.1021/ac960145h. [DOI] [PubMed] [Google Scholar]
  • 40.Filippou O., Bitas D., Samanidou V. Green approaches in sample preparation of bioanalytical samples prior to chromatographic analysis. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2017;1043:44–62. doi: 10.1016/j.jchromb.2016.08.040. [DOI] [PubMed] [Google Scholar]
  • 41.Jeannot M.A., Cantwell F.F. Solvent microextraction into a single drop. Anal. Chem. 1996;68:2236–2240. doi: 10.1021/ac960042z. [DOI] [PubMed] [Google Scholar]
  • 42.Pano-Farias N.S., Ceballos-Magaña S.G., Muñiz-Valencia R., et al. Direct immersion single drop micro-extraction method for multi-class pesticides analysis in mango using GC-MS. Food Chem. 2017;237:30–38. doi: 10.1016/j.foodchem.2017.05.030. [DOI] [PubMed] [Google Scholar]
  • 43.Šrámková I., Horstkotte B., Solich P., et al. Automated in-syringe single-drop head-space micro-extraction applied to the determination of ethanol in wine samples. Anal. Chim. Acta. 2014;828:53–60. doi: 10.1016/j.aca.2014.04.031. [DOI] [PubMed] [Google Scholar]
  • 44.Verma D., Verma S.K., Deb M.K. Single-drop micro-extraction and diffuse reflectance Fourier transform infrared spectroscopic determination of chromium in biological fluids. Talanta. 2009;78:270–277. doi: 10.1016/j.talanta.2008.11.020. [DOI] [PubMed] [Google Scholar]
  • 45.Baltussen E., Sandra P., David F., et al. Stir bar sorptive extraction (SBSE), a novel extraction technique for aqueous samples: Theory and principles. J. Microcolumn Sep. 1999;11:737–747. [Google Scholar]
  • 46.Ochiai N., Sasamoto K., David F., et al. Solvent-assisted stir bar sorptive extraction by using swollen polydimethylsiloxane for enhanced recovery of polar solutes in aqueous samples: Application to aroma compounds in beer and pesticides in wine. J. Chromatogr. A. 2016;1455:45–56. doi: 10.1016/j.chroma.2016.05.085. [DOI] [PubMed] [Google Scholar]
  • 47.He M., Wang Y., Zhang Q., et al. Stir bar sorptive extraction and its application. J. Chromatogr. A. 2021;1637 doi: 10.1016/j.chroma.2020.461810. [DOI] [PubMed] [Google Scholar]
  • 48.Abdel-Rehim M., Pedersen-Bjergaard S., Abdel-Rehim A., et al. Microextraction approaches for bioanalytical applications: An overview. J. Chromatogr. A. 2020;1616 doi: 10.1016/j.chroma.2019.460790. [DOI] [PubMed] [Google Scholar]
  • 49.Peng J., Xiao D., He H., et al. Molecularly imprinted polymeric stir bar: Preparation and application for the determination of naftopidil in plasma and urine samples. J. Separ. Sci. 2016;39:383–390. doi: 10.1002/jssc.201500751. [DOI] [PubMed] [Google Scholar]
  • 50.Peng J., Liu D., Shi T., et al. Molecularly imprinted polymers based stir bar sorptive extraction for determination of cefaclor and cefalexin in environmental water. Anal. Bioanal. Chem. 2017;409:4157–4166. doi: 10.1007/s00216-017-0365-z. [DOI] [PubMed] [Google Scholar]
  • 51.Clark K.D., Zhang C., Anderson J.L. Sample preparation for bioanalytical and pharmaceutical analysis. Anal. Chem. 2016;88:11262–11270. doi: 10.1021/acs.analchem.6b02935. [DOI] [PubMed] [Google Scholar]
  • 52.Zhong Y.-M., Zhong X.-L., Wang J.-H., et al. Rapid analysis and identification of the main constituents in Patrinia scabiosaefolia Fisch. by UPLC/Q-TOF-MS/MS. Acta Chromatogr. 2017;29:267–277. [Google Scholar]
  • 53.Bombana H.S., dos Santos M.F., Muñoz D.R., et al. Hollow-fibre liquid-phase microextraction and gas chromatography-mass spectrometric determination of amphetamines in whole blood. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2020;1139 doi: 10.1016/j.jchromb.2020.121973. [DOI] [PubMed] [Google Scholar]
  • 54.Ask K.S., Lid M., Øiestad E.L., et al. Liquid-phase microextraction in 96-well plates - calibration and accurate quantification of pharmaceuticals in human plasma samples. J. Chromatogr. A. 2019;1602:117–123. doi: 10.1016/j.chroma.2019.06.013. [DOI] [PubMed] [Google Scholar]
  • 55.Berijani S., Assadi Y., Anbia M., et al. Dispersive liquid-liquid microextraction combined with gas chromatography-flame photometric detection. Very simple, rapid and sensitive method for the determination of organophosphorus pesticides in water. J. Chromatogr. A. 2006;1123:1–9. doi: 10.1016/j.chroma.2006.05.010. [DOI] [PubMed] [Google Scholar]
  • 56.Makoś P., Słupek E., Gębicki J. Hydrophobic deep eutectic solvents in microextraction techniques-A review. Microchem. J. 2020;152 [Google Scholar]
  • 57.Mansour F.R., Khairy M.A. Pharmaceutical and biomedical applications of dispersive liquid-liquid microextraction. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2017;1061−1062:382–391. doi: 10.1016/j.jchromb.2017.07.055. [DOI] [PubMed] [Google Scholar]
  • 58.Mansour F.R., Danielson N.D. Solidification of floating organic droplet in dispersive liquid-liquid microextraction as a green analytical tool. Talanta. 2017;170:22–35. doi: 10.1016/j.talanta.2017.03.084. [DOI] [PubMed] [Google Scholar]
  • 59.Zhao Y., Hou X., Qin D., et al. Dispersive liquid-liquid microextraction method for the simultaneous determination of four isomers of hexachlorocyclohexane and six pyrethroid pesticides in milk by gas chromatography electron capture detector. Food Anal. Methods. 2020;13:370–381. [Google Scholar]
  • 60.Wang Q., Li L., Long C.-L., et al. Detection of C60 in environmental water using dispersive liquid-liquid micro-extraction followed by high-performance liquid chromatography. Environ. Technol. 2020;41:1015–1022. doi: 10.1080/09593330.2018.1516804. [DOI] [PubMed] [Google Scholar]
  • 61.Iqbal M., Ezzeldin E., Khalil N.Y., et al. UPLC-MS/MS determination of suvorexant in urine by a simplified dispersive liquid-liquid micro-extraction followed by ultrasound assisted back extraction from solidified floating organic droplets. J. Pharm. Biomed. Anal. 2019;164:1–8. doi: 10.1016/j.jpba.2018.10.005. [DOI] [PubMed] [Google Scholar]
  • 62.Sadeghi S., Nasehi Z. Simultaneous determination of Brilliant Green and Crystal Violet dyes in fish and water samples with dispersive liquid-liquid micro-extraction using ionic liquid followed by zero crossing first derivative spectrophotometric analysis method, Spectrochim. Acta A Mol. Biomol. Spectrosc. 2018;201:134–142. doi: 10.1016/j.saa.2018.04.061. [DOI] [PubMed] [Google Scholar]
  • 63.Tomai P., Gentili A., Curini R., et al. Dispersive liquid-liquid microextraction, an effective tool for the determination of synthetic cannabinoids in oral fluid by liquid chromatography–tandem mass spectrometry. J. Pharm. Anal. 2021;11:292–298. doi: 10.1016/j.jpha.2020.11.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Vincenti F., Montesano C., Cellucci L., et al. Combination of pressurized liquid extraction with dispersive liquid liquid micro extraction for the determination of sixty drugs of abuse in hair. J. Chromatogr. A. 2019;1605 doi: 10.1016/j.chroma.2019.07.002. [DOI] [PubMed] [Google Scholar]
  • 65.Zhou G.-S., Yuan Y.-C., Yin Y., et al. Hydrophilic interaction chromatography combined with ultrasound-assisted ionic liquid dispersive liquid-liquid microextraction for determination of underivatized neurotransmitters in dementia patients' urine samples. Anal. Chim. 2020;Acta 1107:74–84. doi: 10.1016/j.aca.2020.02.027. [DOI] [PubMed] [Google Scholar]
  • 66.Hansen F., Øiestad E.L., Pedersen-Bjergaard S. Bioanalysis of pharmaceuticals using liquid-phase microextraction combined with liquid chromatography-mass spectrometry. J. Pharm. Biomed. Anal. 2020;189 doi: 10.1016/j.jpba.2020.113446. [DOI] [PubMed] [Google Scholar]
  • 67.Asati A., Satyanarayana G.N.V., Patel D.K. Comparison of two microextraction methods based on solidification of floating organic droplet for the determination of multiclass analytes in river water samples by liquid chromatography tandem mass spectrometry using Central Composite Design. J. Chromatogr. A. 2017;1513:157–171. doi: 10.1016/j.chroma.2017.07.048. [DOI] [PubMed] [Google Scholar]
  • 68.Ferrone V., Cotellese R., Carlucci M., et al. Air assisted dispersive liquid-liquid microextraction with solidification of the floating organic droplets (AA-DLLME-SFO) and UHPLC-PDA method: application to antibiotics analysis in human plasma of hospital acquired pneumonia patients. J. Pharm. Biomed. Anal. 2018;151:266–273. doi: 10.1016/j.jpba.2017.12.039. [DOI] [PubMed] [Google Scholar]
  • 69.Kiarostami V., Rouini M.R., Mohammadian R., et al. Binary solvents dispersive liquid—liquid microextraction (BS-DLLME) method for determination of tramadol in urine using high-performance liquid chromatography. DARU J. Pharm. Sci. 2014;22 doi: 10.1186/2008-2231-22-25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Zaruba S., Vishnikin A.B., Andruch V. Application of solidification of floating organic drop microextraction for inorganic anions: Determination of phosphate in water samples. Microchem. J. 2015;122:10–15. [Google Scholar]
  • 71.Luo Q., Wang S., Adeel M., et al. Solvent demulsification-dispersive liquid-liquid microextraction based on solidification of floating organic drop coupled with ultra-high-performance liquid chromatography-tandem mass spectrometry for simultaneous determination of 13 organophosphate esters in aqueous samples. Sci. Rep. 2019;9 doi: 10.1038/s41598-019-47828-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Ramin M., Khadem M., Omidi F., et al. Development of dispersive liquid-liquid microextraction procedure for trace determination of malathion pesticide in urine samples, Iran. J. Publ. Health. 2019;48:1893–1902. [PMC free article] [PubMed] [Google Scholar]
  • 73.Li N., Zhang T., Chen G., et al. Recent advances in sample preparation techniques for quantitative detection of pharmaceuticals in biological samples. TrAC Trends Anal. Chem. 2021;142 [Google Scholar]
  • 74.Arain S.A., Kazi T.G., Afridi H.I., et al. Application of dual-cloud point extraction for the trace levels of copper in serum of different viral hepatitis patients by flame atomic absorption spectrometry: A multivariate study. Spectrochim. Acta A Mol. Biomol. Spectrosc. 2014;133:651–656. doi: 10.1016/j.saa.2014.05.077. [DOI] [PubMed] [Google Scholar]
  • 75.Ashrafzadeh Afshar E., Taher M.A., Fazelirad H., et al. Application of dispersive liquid-liquid-solidified floating organic drop microextraction and ETAAS for the preconcentration and determination of indium. Anal. Bioanal. Chem. 2017;409:1837–1843. doi: 10.1007/s00216-016-0128-2. [DOI] [PubMed] [Google Scholar]
  • 76.Urucu O.A., Dönmez S., Yetimoğlu E.K. Solidified floating organic drop microextraction for the detection of trace amount of lead in various samples by electrothermal atomic absorption spectrometry. J. Anal. Methods Chem. 2017;2017 doi: 10.1155/2017/6268975. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Akkaya E., Chormey D.S., Bakırdere S. Sensitive determination of cadmium using solidified floating organic drop microextraction-slotted quartz tube-flame atomic absorption spectroscopy. Environ. Monit. Assess. 2017;189 doi: 10.1007/s10661-017-6232-8. [DOI] [PubMed] [Google Scholar]
  • 78.Huang Y., Zheng Z., Huang L., et al. Optimization of dispersive liquid-phase microextraction based on solidified floating organic drop combined with high-performance liquid chromatography for the analysis of glucocorticoid residues in food. J. Pharm. Biomed. Anal. 2017;138:363–372. doi: 10.1016/j.jpba.2017.02.026. [DOI] [PubMed] [Google Scholar]
  • 79.Amiri Pebdani A., Dadfarnia S., Haji Shabani A.M.H., et al. Modified dispersive liquid-phase microextraction based on sequential injection solidified floating organic drop combined with HPLC for the determination of phenobarbital and phenytoin. J. Separ. Sci. 2018;41:509–517. doi: 10.1002/jssc.201701111. [DOI] [PubMed] [Google Scholar]
  • 80.Asadi M. Syringe-to-syringe dispersive liquid-phase microextraction solidified floating organic drop combined with high-performance liquid chromatography for the separation and quantification of ochratoxin A in food samples. J. Separ. Sci. 2017;40:3094–3099. doi: 10.1002/jssc.201700307. [DOI] [PubMed] [Google Scholar]
  • 81.Sakanupongkul A., Sananmuang R., Udnan Y., et al. Speciation of mercury in water and freshwater fish samples by a two-step solidified floating organic drop microextraction with electrothermal atomic absorption spectrometry. Food Chem. 2019;277:496–503. doi: 10.1016/j.foodchem.2018.10.131. [DOI] [PubMed] [Google Scholar]
  • 82.Shirinnejad M., Sarrafi A.H.M. Dispersive liquid-liquid microextraction based on solidification of floating organic drop with central composite design for the spectrofluorometric determination of naproxen. J. Fluoresc. 2019;29:1039–1047. doi: 10.1007/s10895-019-02417-w. [DOI] [PubMed] [Google Scholar]
  • 83.Jiang R., Pawliszyn J. Thin-film microextraction offers another geometry for solid-phase microextraction. TrAC Trends Anal. Chem. 2012;39:245–253. [Google Scholar]
  • 84.Piri-Moghadam H., Gionfriddo E., Grandy J.J., et al. Development and validation of eco-friendly strategies based on thin film microextraction for water analysis. J. Chromatogr. A. 2018;1579:20–30. doi: 10.1016/j.chroma.2018.10.026. [DOI] [PubMed] [Google Scholar]
  • 85.Hijazi H.Y., Bottaro C.S. Molecularly imprinted polymer thin-film as a micro-extraction adsorbent for selective determination of trace concentrations of polycyclic aromatic sulfur heterocycles in seawater. J. Chromatogr. A. 2020;1617 doi: 10.1016/j.chroma.2019.460824. [DOI] [PubMed] [Google Scholar]
  • 86.Jafari Z., Hadjmohammadi M.R. In situ growth of zeolitic imidazolate framework-8 on woven cotton yarn for the thin film microextraction of quercetin in human plasma and food samples. Anal. Chim. Acta. 2020;1131:45–55. doi: 10.1016/j.aca.2020.07.037. [DOI] [PubMed] [Google Scholar]
  • 87.Ripoll L., Navarro-González J., Legnaioli S., et al. Evaluation of thin film microextraction for trace elemental analysis of liquid samples using LIBS detection. Talanta. 2021;223 doi: 10.1016/j.talanta.2020.121736. [DOI] [PubMed] [Google Scholar]
  • 88.Karimiyan H., Hadjmohammadi M.R., Kunjali K.L., et al. Graphene oxide/polyethylene glycol-stick for thin film microextraction of β-blockers from human oral fluid by liquid chromatography-tandem mass spectrometry. Molecules. 2019;24 doi: 10.3390/molecules24203664. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Drouin N., Rudaz S., Schappler J. Sample preparation for polar metabolites in bioanalysis. Analyst. 2017;143:16–20. doi: 10.1039/c7an01333g. [DOI] [PubMed] [Google Scholar]
  • 90.Hansen F.A., Pedersen-Bjergaard S. Electromembrane extraction of streptomycin from biological fluids. J. Chromatogr. A. 2021;1639 doi: 10.1016/j.chroma.2021.461915. [DOI] [PubMed] [Google Scholar]
  • 91.Yan J., Kuzhiumparambil U., Bandodkar S., et al. Development and validation of a simple, rapid and sensitive LC-MS/MS method for the measurement of urinary neurotransmitters and their metabolites. Anal. Bioanal. Chem. 2017;409:7191–7199. doi: 10.1007/s00216-017-0681-3. [DOI] [PubMed] [Google Scholar]
  • 92.Yu X., Li X., You S., et al. Electromembrane extraction of chlorprothixene, haloperidol and risperidone from whole blood and urine. J. Chromatogr. A. 2020;1629 doi: 10.1016/j.chroma.2020.461480. [DOI] [PubMed] [Google Scholar]
  • 93.Zhu Y., Guan J., Cao L., et al. Determination of trace iodide in iodised table salt on silver sulfate-modified carbon paste electrode by differential pulse voltammetry with electrochemical solid phase nano-extraction. Talanta. 2010;80:1234–1238. doi: 10.1016/j.talanta.2009.09.015. [DOI] [PubMed] [Google Scholar]
  • 94.Lashgari M., Singh V., Pawliszyn J. A critical review on regulatory sample preparation methods: validating solid-phase microextraction techniques. TrAC Trends Anal. Chem. 2019;119 [Google Scholar]
  • 95.Keramat A., Zare-Dorabei R. Ultrasound-assisted dispersive magnetic solid phase extraction for preconcentration and determination of trace amount of Hg (II) ions from food samples and aqueous solution by magnetic graphene oxide (Fe3O4@GO/2-PTSC): Central composite design optimization. Ultrason. Sonochem. 2017;38:421–429. doi: 10.1016/j.ultsonch.2017.03.039. [DOI] [PubMed] [Google Scholar]
  • 96.Yilmaz E., Sarp G., Uzcan F., et al. Application of magnetic nanomaterials in bioanalysis. Talanta. 2021;229 doi: 10.1016/j.talanta.2021.122285. [DOI] [PubMed] [Google Scholar]
  • 97.Armenta S., Esteve-Turrillas F.A., Garrigues S., et al. Smart materials for sample preparation in bioanalysis: A green overview. Sustain. Chem. Pharm. 2021;21 [Google Scholar]
  • 98.Londhe V., Rajadhyaksha M. Opportunities and obstacles for microsampling techniques in bioanalysis: special focus on DBS and VAMS. J. Pharm. Biomed. Anal. 2020;182 doi: 10.1016/j.jpba.2020.113102. [DOI] [PubMed] [Google Scholar]
  • 99.Miura J., Ishii H., Watanabe H. Extraction and separation of nickel chelate of 1-(2-thiazolylazo)-2-naphthol in nonionic surfactant solution. Bunseki Kagaku. 1976;25:808–809. [Google Scholar]
  • 100.Namera A., Saito T. Recent advances in unique sample preparation techniques for bioanalysis. Bioanalysis. 2013;5:915–932. doi: 10.4155/bio.13.52. [DOI] [PubMed] [Google Scholar]
  • 101.Venson R., Korb A.S., Cooper G. A review of the application of hollow-fiber liquid-phase microextraction in bioanalytical methods-a systematic approach with focus on forensic toxicology. J. Chromatogr. B. Analyt. Technol. Biomed. Life Sci. 2019;1108:32–53. doi: 10.1016/j.jchromb.2019.01.006. [DOI] [PubMed] [Google Scholar]
  • 102.Song N., Guo M., Shi L. Rapid residue analysis of sulfonylurea herbicides in surface water: Methodolgy and residue findings in eastern Tiaoxi river of China. J. Mater. Sci. Chem. Eng. 2016;4:41–50. [Google Scholar]
  • 103.Kojro G., Wroczyński P. Cloud point extraction in the determination of drugs in biological matrices. J. Chromatogr. Sci. 2020;58:151–162. doi: 10.1093/chromsci/bmz064. [DOI] [PubMed] [Google Scholar]
  • 104.Arya S.S., Kaimal A.M., Chib M., et al. Novel, energy efficient and green cloud point extraction: Technology and applications in food processing. J. Food Sci. Technol. 2019;56:524–534. doi: 10.1007/s13197-018-3546-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Shukri D.S.M., Sanagi M.M., Ibrahim W.A.W., et al. Liquid chromatographic determination of NSAIDs in urine after dispersive liquid-liquid microextraction based on solidification of floating organic droplets. Chromatographia. 2015;78:987–994. [Google Scholar]
  • 106.Giebułtowicz J., Kojro G., Piotrowski R., et al. Cloud-point extraction is compatible with liquid chromatography coupled to electrospray ionization mass spectrometry for the determination of antazoline in human plasma. J. Pharm. Biomed. Anal. 2016;128:294–301. doi: 10.1016/j.jpba.2016.05.042. [DOI] [PubMed] [Google Scholar]
  • 107.Guo N., Jiang Y.-W., Kou P., et al. Application of integrative cloud point extraction and concentration for the analysis of polyphenols and alkaloids in mulberry leaves. J. Pharm. Biomed. Anal. 2019;167:132–139. doi: 10.1016/j.jpba.2019.02.002. [DOI] [PubMed] [Google Scholar]
  • 108.Wang X., Sun H., Zhang A., et al. Potential role of metabolomics approaches in the area of traditional Chinese medicine: As pillars of the bridge between Chinese and Western medicine. J. Pharm. Biomed. Anal. 2011;55:859–868. doi: 10.1016/j.jpba.2011.01.042. [DOI] [PubMed] [Google Scholar]
  • 109.Kojro G., Rudzki P.J., Pisklak D.M., et al. Matrix effect screening for cloud-point extraction combined with liquid chromatography coupled to mass spectrometry: Bioanalysis of pharmaceuticals. J. Chromatogr. A. 2019;1591:44–54. doi: 10.1016/j.chroma.2019.01.031. [DOI] [PubMed] [Google Scholar]
  • 110.Wei W., Yin X.-B., He X.-W. pH-mediated dual-cloud point extraction as a preconcentration and clean-up technique for capillary electrophoresis determination of phenol and m-nitrophenol. J. Chromatogr. A. 2008;1202:212–215. doi: 10.1016/j.chroma.2008.07.015. [DOI] [PubMed] [Google Scholar]
  • 111.Arain S.S., Kazi T.G., Arain J.B., et al. Preconcentration of toxic elements in artificial saliva extract of different smokeless tobacco products by dual-cloud point extraction. Microchem. J. 2014;112:42–49. doi: 10.1016/j.ecoenv.2013.03.001. [DOI] [PubMed] [Google Scholar]
  • 112.Olcer Y.A., Tascon M., Eroglu A.E., et al. Thin film microextraction: Towards faster and more sensitive microextraction. TrAC Trends Anal. Chem. 2019;113:93–101. [Google Scholar]
  • 113.El-Sherbeni A.A., Stocco M.R., Wadji F.B., et al. Addressing the instability issue of dopamine during microdialysis: The determination of dopamine, serotonin, methamphetamine and its metabolites in rat brain. J. Chromarogr. A. 2020;1627 doi: 10.1016/j.chroma.2020.461403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Mu F., Zhou X., Fan F., et al. A fluorescence biosensor for therapeutic drug monitoring of vancomycin using in vivo microdialysis. Anal. Chim. Acta. 2021;1151 doi: 10.1016/j.aca.2021.338250. [DOI] [PubMed] [Google Scholar]
  • 115.Tobieson L., Czifra Z., Wåhlén K., et al. Proteomic investigation of protein adsorption to cerebral microdialysis membranes in surgically treated intracerebral hemorrhage patients - a pilot study. Proteome Sci. 2020;18 doi: 10.1186/s12953-020-00163-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Pierce C.F., Kwasnicki A., Lakka S.S., et al. Cerebral microdialysis as a tool for assessing the delivery of chemotherapy in brain tumor patients. World Neurosurg. 2021;145:187–196. doi: 10.1016/j.wneu.2020.08.161. [DOI] [PubMed] [Google Scholar]
  • 117.Liu L., Zhang X., Lou Y., et al. Cerebral microdialysis in glioma studies, from theory to application. J. Pharm. Biomed. Anal. 2014;96:77–89. doi: 10.1016/j.jpba.2014.03.026. [DOI] [PubMed] [Google Scholar]
  • 118.Forsse A., Nielsen T.H., Mølstrøm S., et al. A prospective observational feasibility study of jugular bulb microdialysis in subarachnoid hemorrhage. Neurocritical Care. 2020;33:241–255. doi: 10.1007/s12028-019-00888-0. [DOI] [PubMed] [Google Scholar]
  • 119.Zhang C., Woolfork A.G., Suh K., et al. Clinical and pharmaceutical applications of affinity ligands in capillary electrophoresis: A review. J. Pharm. Biomed. Anal. 2020;177 doi: 10.1016/j.jpba.2019.112882. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Guthrie R., Susi A. A simple phenylalanine method for detecting phenylketonuria in large populations of newborn infants. Pediatrics. 1963;32:338–343. [PubMed] [Google Scholar]
  • 121.Chepyala D., Kuo H.C., Su K.Y., et al. Improved dried blood spot-based metabolomics analysis by a postcolumn infused-internal standard assisted liquid chromatography-electrospray ionization mass spectrometry method. Anal. Chem. 2019;91:10702–10712. doi: 10.1021/acs.analchem.9b02050. [DOI] [PubMed] [Google Scholar]
  • 122.Nys G., Kok M.G.M., Servais A.C., et al. Beyond dried blood spot: Current microsampling techniques in the context of biomedical applications. TrAC Trends Anal. Chem. 2017;97:326–332. [Google Scholar]
  • 123.Capiau S., Veenhof H., Koster R.A., et al. Official International Association for Therapeutic Drug Monitoring and Clinical Toxicology Guideline: Development and validation of dried blood spot-based methods for therapeutic drug monitoring. Ther. Drug Monit. 2019;41:409–430. doi: 10.1097/FTD.0000000000000643. [DOI] [PubMed] [Google Scholar]
  • 124.Damen C.W.N., Rosing H., Schellens J.H.M., et al. Application of dried blood spots combined with high-performance liquid chromatography coupled with electrospray ionisation tandem mass spectrometry for simultaneous quantification of vincristine and actinomycin-D. Anal. Bioanal. Chem. 2009;394:1171–1182. doi: 10.1007/s00216-009-2775-z. [DOI] [PubMed] [Google Scholar]
  • 125.Fischer S., Obrist R., Ehlert U. How and when to use dried blood spots in psychoneuroendocrinological research. Psychoneuroendocrinology. 2019;108:190–196. doi: 10.1016/j.psyneuen.2019.06.011. [DOI] [PubMed] [Google Scholar]
  • 126.Zakaria R., Allen K.J., Koplin J.J., et al. Advantages and challenges of dried blood spot analysis by mass spectrometry across the total testing process. EJIFCC. 2016;27:288–317. [PMC free article] [PubMed] [Google Scholar]
  • 127.Bjornstad P., Karger A.B., Maahs D.M. Measured GFR in routine clinical practice—the promise of dried blood spots. Adv. Chron. Kidney Dis. 2018;25:76–83. doi: 10.1053/j.ackd.2017.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Ellefsen K.N., da Costa J.L., Concheiro M., et al. Cocaine and metabolite concentrations in DBS and venous blood after controlled intravenous cocaine administration. Bioanalysis. 2015;7:2041–2056. doi: 10.4155/bio.15.127. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Harahap Y., Elysia C., Starlin Z., et al. Analysis of acrylamide in dried blood spots of lung cancer patients by ultrahigh-performance liquid chromatography tandem mass spectrometry. Int. J. Anal. Chem. 2020;2020 doi: 10.1155/2020/2015264. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Lange T., Thomas A., Walpurgis K., et al. Fully automated dried blood spot sample preparation enables the detection of lower molecular mass peptide and non-peptide doping agents by means of LC-HRMS. Anal. Bioanal. Chem. 2020;412:3765–3777. doi: 10.1007/s00216-020-02634-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Lombardi V., Carassiti D., Giovannoni G., et al. The potential of neurofilaments analysis using dry-blood and plasma spots. Sci. Rep. 2020;10 doi: 10.1038/s41598-019-54310-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Parker S.L., Lipman J., Dimopoulos G., et al. A validated method for the quantification of fosfomycin on dried plasma spots by HPLC-MS/MS: Application to a pilot pharmacokinetic study in humans. J. Pharm. Biomed. Anal. 2015;115:509–514. doi: 10.1016/j.jpba.2015.07.013. [DOI] [PubMed] [Google Scholar]
  • 133.Li W., Doherty J., Favara S., et al. Evaluation of plasma microsampling for dried plasma spots (DPS) in quantitative LC-MS/MS bioanalysis using ritonavir as a model compound. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2015;991:46–52. doi: 10.1016/j.jchromb.2015.03.026. [DOI] [PubMed] [Google Scholar]
  • 134.Gonzalez D., Melloni C., Poindexter B.B., et al. Simultaneous determination of trimethoprim and sulfamethoxazole in dried plasma and urine spots. Bioanalysis. 2015;7:1137–1149. doi: 10.4155/bio.15.38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Brahmadhi A., Chen M.X., Wang S.-Y., et al. Determination of fluoroquinolones in dried plasma spots by using microwave-assisted extraction coupled to ultra-high performance liquid chromatography-tandem mass spectrometry for therapeutic drug monitoring. J. Pharm. Biomed. Anal. 2021;195 doi: 10.1016/j.jpba.2020.113821. [DOI] [PubMed] [Google Scholar]
  • 136.Hauser J., Lenk G., Ullah S., et al. An autonomous microfluidic device for generating volume-defined dried plasma spots. Anal. Chem. 2019;91:7125–7130. doi: 10.1021/acs.analchem.9b00204. [DOI] [PubMed] [Google Scholar]
  • 137.Kolocouri F., Dotsikas Y., Loukas Y.L. Dried plasma spots as an alternative sample collection technique for the quantitative LC-MS/MS determination of gabapentin. Anal. Bioanal. Chem. 2010;398:1339–1347. doi: 10.1007/s00216-010-4048-2. [DOI] [PubMed] [Google Scholar]
  • 138.Abdel-Rehim A., Abdel-Rehim M. Dried saliva spot as a sampling technique for saliva samples. Biomed. Chromatogr. 2014;28:875–877. doi: 10.1002/bmc.3193. [DOI] [PubMed] [Google Scholar]
  • 139.Meesters R., Hooff G., van Huizen N., et al. Impact of internal standard addition on dried blood spot analysis in bioanalytical method development. Bioanalysis. 2011;3:2357–2364. doi: 10.4155/bio.11.202. [DOI] [PubMed] [Google Scholar]
  • 140.Zheng N., Zeng J., Ji Q.C., et al. Bioanalysis of dried saliva spot (DSS) samples using detergent-assisted sample extraction with UHPLC-MS/MS detection. Anal. Chim. Acta. 2016;934:170–179. doi: 10.1016/j.aca.2016.05.057. [DOI] [PubMed] [Google Scholar]
  • 141.Hsiao Y.C., Lin S.Y., Chien K., et al. An immuno-MALDI mass spectrometry assay for the oral cancer biomarker, matrix metalloproteinase-1, in dried saliva spot samples. Anal. Chim. Acta. 2020;1100:118–130. doi: 10.1016/j.aca.2019.12.006. [DOI] [PubMed] [Google Scholar]
  • 142.Numako M., Toyo'oka T., Noge I., et al. Risk assessment of diabetes mellitus using dried saliva spot followed by ultra-performance liquid chromatography with fluorescence and mass spectrometry. Microchem. J. 2018;142:202–207. [Google Scholar]
  • 143.Bellagambi F.G., Lomonaco T., Salvo P., et al. Saliva sampling process: Methods and devices. An overview. TrAC Trends Anal. Chem. 2020;124 [Google Scholar]
  • 144.Ribeiro A., Prata M., Vaz C., et al. Determination of methadone and EDDP in oral fluid using the dried saliva spots sampling approach and gas chromatography-tandem mass spectrometry. Anal. Bioanal. Chem. 2019;411:2177–2187. doi: 10.1007/s00216-019-01654-z. [DOI] [PubMed] [Google Scholar]
  • 145.Tartaglia A., Kabir A., D’Ambrosio F., et al. Fast off-line FPSE-HPLC-PDA determination of six NSAIDs in saliva samples. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2020;1144 doi: 10.1016/j.jchromb.2020.122082. [DOI] [PubMed] [Google Scholar]
  • 146.Schulte F., Hasturk H., Hardt M. Mapping relative differences in human salivary gland secretions by dried saliva spot sampling process and nanoLC-MS/MS. Proteomics. 2019;19 doi: 10.1002/pmic.201900023. [DOI] [PubMed] [Google Scholar]
  • 147.Rossini E.L., Milani M.I., Lima L.S., et al. Paper microfluidic device using carbon dots to detect glucose and lactate in saliva samples. Spectrochim. Acta A Mol. Biomol. Spectrosc. 2021;248 doi: 10.1016/j.saa.2020.119285. [DOI] [PubMed] [Google Scholar]
  • 148.Velička M., Zacharovas E., Adomavičiūtė S., et al. Detection of caffeine intake by means of EC-SERS spectroscopy of human saliva. Spectrochim. Acta A Mol. Biomol. Spectrosc. 2021;246 doi: 10.1016/j.saa.2020.118956. [DOI] [PubMed] [Google Scholar]
  • 149.Pablo A., Breaud A.R., Clarke W. Automated analysis of dried urine spot (DUS) samples for toxicology screening. Clin. Biochem. 2020;75:70–77. doi: 10.1016/j.clinbiochem.2019.10.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150.Al Dhahouri N., Langhans C.D., Al Hammadi Z., et al. Quantification of methylcitrate in dried urine spots by liquid chromatography tandem mass spectrometry for the diagnosis of propionic and methylmalonic acidemias. Clin. Chim. Acta. 2018;487:41–45. doi: 10.1016/j.cca.2018.09.017. [DOI] [PubMed] [Google Scholar]
  • 151.Forman M., Valsamakis A., Arav-Boger R. Dried urine spots for detection and quantification of cytomegalovirus in newborns. Diagn. Microbiol. Infect. Dis. 2012;73:326–329. doi: 10.1016/j.diagmicrobio.2012.04.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152.Kok M.G.M., Fillet M. Volumetric absorptive microsampling: Current advances and applications. J. Pharm. Biomed. Anal. 2018;147:288–296. doi: 10.1016/j.jpba.2017.07.029. [DOI] [PubMed] [Google Scholar]
  • 153.Moorthy G.S., Vedar C., Zane N.R., et al. Development and validation of a volumetric absorptive microsampling-liquid chromatography mass spectrometry method for the analysis of cefepime in human whole blood: Application to pediatric pharmacokinetic study. J. Pharm. Biomed. Anal. 2020;179 doi: 10.1016/j.jpba.2019.113002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154.Mandrioli R., Mercolini L., Protti M. Blood and plasma volumetric absorptive microsampling (VAMS) coupled to LC-MS/MS for the forensic assessment of cocaine consumption. Molecules. 2020;25 doi: 10.3390/molecules25051046. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155.Canisius T.P.I.J.M., Hans Soons J.W.P., Verschuure P., et al. Therapeutic drug monitoring of anti-epileptic drugs-a clinical verification of volumetric absorptive micro sampling. Clin. Chem. Lab. Med. 2020;58:828–835. doi: 10.1515/cclm-2019-0784. [DOI] [PubMed] [Google Scholar]
  • 156.Tron C., Ferrand-Sorre M.J., Querzerho-Raguideau J., et al. Volumetric absorptive microsampling for the quantification of tacrolimus in capillary blood by high performance liquid chromatography-tandem mass spectrometry. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2021;1165 doi: 10.1016/j.jchromb.2020.122521. [DOI] [PubMed] [Google Scholar]
  • 157.Protti M., Mandrioli R., Mercolini L. Tutorial: Volumetric absorptive microsampling (VAMS) Anal. Chim. Acta. 2019;1046:32–47. doi: 10.1016/j.aca.2018.09.004. [DOI] [PubMed] [Google Scholar]
  • 158.Jonsson O., Villar R.P., Nilsson L.B., et al. Capillary microsampling of 25 μl blood for the determination of toxicokinetic parameters in regulatory studies in animals. Bioanalysis. 2012;4:661–674. doi: 10.4155/bio.12.25. [DOI] [PubMed] [Google Scholar]
  • 159.Prior H., Marks L., Grant C., et al. Incorporation of capillary microsampling into whole body plethysmography and modified Irwin safety pharmacology studies in rats. Regul. Toxicol. Pharmacol. 2015;73:19–26. doi: 10.1016/j.yrtph.2015.06.002. [DOI] [PubMed] [Google Scholar]
  • 160.Bharucha T., Chanthongthip A., Phuangpanom S., et al. Pre-cut filter paper for detecting anti-Japanese encephalitis virus IgM from dried cerebrospinal fluid spots. PLoS Neglected Trop. Dis. 2016;10 doi: 10.1371/journal.pntd.0004516. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161.Namera A., Saito T. Spin column extraction as a new sample preparation method in bioanalysis. Bioanalysis. 2015;7:2171–2176. doi: 10.4155/bio.15.146. [DOI] [PubMed] [Google Scholar]
  • 162.Esrafili A., Ghambarian M., Tajik M., et al. Spin-column micro-solid phase extraction of chlorophenols using MFU-4l metal-organic framework. Mikrochim. Acta. 2019;187 doi: 10.1007/s00604-019-4023-3. [DOI] [PubMed] [Google Scholar]
  • 163.Nuckowski Ł., Kaczmarkiewicz A., Studzińska S. Review on sample preparation methods for oligonucleotides analysis by liquid chromatography. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2018;1090:90–100. doi: 10.1016/j.jchromb.2018.05.025. [DOI] [PubMed] [Google Scholar]
  • 164.Ashri N.Y., Abdel-Rehim M. Sample treatment based on extraction techniques in biological matrices. Bioanalysis. 2011;3:2003–2018. doi: 10.4155/bio.11.201. [DOI] [PubMed] [Google Scholar]
  • 165.Marcinkowska R., Konieczna K., Marcinkowski Ł., et al. Application of ionic liquids in microextraction techniques: Current trends and future perspectives. TrAC Trends Anal. Chem. 2019;119 [Google Scholar]
  • 166.Huang S., Chen G., Ye N., et al. Solid-phase microextraction: An appealing alternative for the determination of endogenous substances - a review. Anal. Chim. Acta. 2019;1077:67–86. doi: 10.1016/j.aca.2019.05.054. [DOI] [PubMed] [Google Scholar]
  • 167.Hussain D., Raza Naqvi S.T., Ashiq M.N., et al. Analytical sample preparation by electrospun solid phase microextraction sorbents. Talanta. 2020;208 doi: 10.1016/j.talanta.2019.120413. [DOI] [PubMed] [Google Scholar]
  • 168.Namieśnik J., Spietelun A., Marcinkowski Ł. Green sample preparation techniques for chromatographic determination of small organic compounds. Int. J. Chem. Eng. Appl. 2015;6:215–219. [Google Scholar]
  • 169.Andreu V., Picó Y. Pressurized liquid extraction of organic contaminants in environmental and food samples. TrAC Trends Anal. Chem. 2019;118:709–721. [Google Scholar]
  • 170.Moein M.M., Abdel-Rehim A., Abdel-Rehim M. Recent applications of molecularly imprinted Sol-gel methodology in sample preparation. Molecules. 2019;24 doi: 10.3390/molecules24162889. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 171.Pandey H., Khare P., Singh S., et al. Carbon nanomaterials integrated molecularly imprinted polymers for biological sample analysis: A critical review. Mater. Chem. Phys. 2020;239 [Google Scholar]
  • 172.Vergara-Barberán M., Carrasco-Correa E.J., Lerma-García M.J., et al. Current trends in affinity-based monoliths in microextraction approaches: a review. Anal. Chim. Acta. 2019;1084:1–20. doi: 10.1016/j.aca.2019.07.020. [DOI] [PubMed] [Google Scholar]
  • 173.Souverain S., Rudaz S., Veuthey J.L. Restricted access materials and large particle supports for on-line sample preparation: An attractive approach for biological fluids analysis. J. Chromatogr. B. Analyt. Technol. Biomed. Life Sci. 2004;801:141–156. doi: 10.1016/j.jchromb.2003.11.043. [DOI] [PubMed] [Google Scholar]
  • 174.León-González M.E., Plaza-Arroyo M., Pérez-Arribas L.V., et al. Rapid analysis of pyrethroids in whole urine by high-performance liquid chromatography using a monolithic column and off-line preconcentration in a restricted access material cartridge. Anal. Bioanal. Chem. 2005;382:527–531. doi: 10.1007/s00216-004-3042-y. [DOI] [PubMed] [Google Scholar]
  • 175.de Faria H.D., de Carvalho Abrão L.C., Santos M.G., et al. New advances in restricted access materials for sample preparation: A review. Anal. Chim. Acta. 2017;959:43–65. doi: 10.1016/j.aca.2016.12.047. [DOI] [PubMed] [Google Scholar]
  • 176.Jurischka C., Dinter F., Efimova A., et al. An explorative study of polymers for 3D printing of bioanalytical test systems. Clin. Hemorheol. Microcirc. 2020;75:57–84. doi: 10.3233/CH-190713. [DOI] [PubMed] [Google Scholar]
  • 177.Bishop G.W., Satterwhite-Warden J.E., Kadimisetty K., et al. 3D-printed bioanalytical devices. Nanotechnology. 2016;27 doi: 10.1088/0957-4484/27/28/284002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 178.Lambert A., Valiulis S., Cheng Q. Advances in optical sensing and bioanalysis enabled by 3D printing. ACS Sens. 2018;3:2475–2491. doi: 10.1021/acssensors.8b01085. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 179.Pan J., Liu M., Li D., et al. Overoxidized poly(3,4-ethylenedioxythiophene)–gold nanoparticles–graphene-modified electrode for the simultaneous detection of dopamine and uric acid in the presence of ascorbic acid. J. Pharm. Anal. 2021;11:699–708. doi: 10.1016/j.jpha.2021.09.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 180.Materon E.M., Wong A., Freitas T.A., et al. A sensitive electrochemical detection of metronidazole in synthetic serum and urine samples using low-cost screen-printed electrodes modified with reduced graphene oxide and C60. J. Pharm. Anal. 2021;11:646–652. doi: 10.1016/j.jpha.2021.03.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 181.Locatelli M., Tartaglia A., D’Ambrosio F., et al. Biofluid sampler: a new gateway for mail-in-analysis of whole blood samples. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2020;1143 doi: 10.1016/j.jchromb.2020.122055. [DOI] [PubMed] [Google Scholar]
  • 182.McKeague M., Bradley C.R., de Girolamo A., et al. Screening and initial binding assessment of fumonisin b(1) aptamers. Int. J. Mol. Sci. 2010;11:4864–4881. doi: 10.3390/ijms11124864. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 183.Madru B., Chapuis-Hugon F., Pichon V. Novel extraction supports based on immobilised aptamers: Evaluation for the selective extraction of cocaine. Talanta. 2011;85:616–624. doi: 10.1016/j.talanta.2011.04.016. [DOI] [PubMed] [Google Scholar]
  • 184.Aslipashaki S.N., Khayamian T., Hashemian Z. Aptamer based extraction followed by electrospray ionization-ion mobility spectrometry for analysis of tetracycline in biological fluids. J. Chromatogr. B Analyt. Technol. Biomed. Life Sci. 2013;925:26–32. doi: 10.1016/j.jchromb.2013.02.018. [DOI] [PubMed] [Google Scholar]
  • 185.Vergara-Barberán M., Lerma-García M.J., Moga A., et al. Recent advances in aptamer-based miniaturized extraction approaches in food analysis. TrAC Trends Anal. Chem. 2021;138 [Google Scholar]
  • 186.Alshaer W., Hillaireau H., Fattal E. Aptamer-guided nanomedicines for anticancer drug delivery. Adv. Drug Deliv. Rev. 2018;134:122–137. doi: 10.1016/j.addr.2018.09.011. [DOI] [PubMed] [Google Scholar]
  • 187.Jie M., Mao S., Li H., et al. Multi-channel microfluidic chip-mass spectrometry platform for cell analysis. Chin. Chem. Lett. 2017;28:1625–1630. [Google Scholar]
  • 188.Wu J., He Z., Chen Q., et al. Biochemical analysis on microfluidic chips. Trac. Trends Anal. Chem. 2016;80:213–231. [Google Scholar]
  • 189.Wang N.J., Mao S.F., Liu W., et al. Online monodisperse droplets based liquid-liquid extraction on a continuously flowing system by using microfluidic devices. RSC Adv. 2014;4:11919–11926. [Google Scholar]
  • 190.Gao D., Wei H., Guo G.-S., et al. Microfluidic cell culture and metabolism detection with electrospray ionization quadrupole time-of-flight mass spectrometer. Anal. Chem. 2010;82:5679–5685. doi: 10.1021/ac101370p. [DOI] [PubMed] [Google Scholar]
  • 191.An X., Zuo P., Ye B.-C. A single cell droplet microfluidic system for quantitative determination of food-borne pathogens. Talanta. 2020;209 doi: 10.1016/j.talanta.2019.120571. [DOI] [PubMed] [Google Scholar]
  • 192.Srikanth S., Mohan J.M., Raut S., et al. Droplet based microfluidic device integrated with ink jet printed three electrode system for electrochemical detection of ascorbic acid. Sens. Actuat. A Phys. 2021;325 [Google Scholar]
  • 193.Singhal H.R., Prabhu A., Giri Nandagopal M.S., et al. One-dollar microfluidic paper-based analytical devices: Do-it-yourself approaches. Microchem. J. 2021;165 [Google Scholar]
  • 194.Pérez-Rodríguez M., del Pilar Cañizares-Macías M. Metabolic biomarker modeling for predicting clinical diagnoses through microfluidic paper-based analytical devices. Microchem. J. 2021;165 [Google Scholar]
  • 195.Dziurkowska E., Wesolowski M. Solid phase extraction purification of saliva samples for antipsychotic drug quantitation. Molecules. 2018;23 doi: 10.3390/molecules23112946. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 196.Meirinho S., Rodrigues M., Fortuna A., et al. Liquid chromatographic methods for determination of the new antiepileptic drugs stiripentol, retigabine, rufinamide and perampanel: A comprehensive and critical review. J. Pharm. Anal. 2021;11:405–421. doi: 10.1016/j.jpha.2020.11.005. [DOI] [PMC free article] [PubMed] [Google Scholar]

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