Skip to main content
Journal of Clinical Tuberculosis and Other Mycobacterial Diseases logoLink to Journal of Clinical Tuberculosis and Other Mycobacterial Diseases
. 2023 Dec 25;34:100412. doi: 10.1016/j.jctube.2023.100412

Biosensors; nanomaterial-based methods in diagnosing of Mycobacterium tuberculosis

Ahmad Mobed a,⁎,1, Mohammad Darvishi b,1, Fereshteh Kohansal c, Fatemeh Moradi Dehfooli d, Iraj Alipourfard e, Amir Tahavvori f, Farhood Ghazi f
PMCID: PMC10787265  PMID: 38222862

Abstract

Diagnosis of Mycobacterium tuberculosis (Mtb) before the progression of pulmonary infection can be very effective in its early treatment. The Mtb grows so slowly that it takes about 6–8 weeks to be diagnosed even using sensitive cell culture methods. The main opponent in tuberculosis (TB) and nontuberculous mycobacterial (NTM) epidemiology, like in all contagious diseases, is to pinpoint the source of infection and reveal its transmission and dispersion ways in the environment. It is crucial to be able to distinguish and monitor specific mycobacterium strains in order to do this. In food analysis, clinical diagnosis, environmental monitoring, and bioprocess, biosensing technologies have been improved to manage and detect Mtb. Biosensors are progressively being considered pioneering tools for point-of-care diagnostics in Mtb discoveries. In this review, we present an epitome of recent developments of biosensing technologies for M. tuberculosis detection, which are categorized on the basis of types of electrochemical, Fluorescent, Photo-thermal, Lateral Flow, Magneto-resistive, Laser, Plasmonic, and Optic biosensors.

Keywords: Pulmonary infection, Mycobacterium tuberculosis (Mtb), Conventional methods, Biosensors, Sensitivity

1. Introduction

There are more than 140 species of Mycobacterium which are divided into three groups: M. tuberculosis complex (MtbC), M. leprae, and mycobacteria other than MTBC and M. leprae, commonly known as nontuberculous mycobacteria (NTM) [1], [2]. The most well-known member of the MtbC is Mtb, an obligate human pathogen and the causative agent of tuberculosis (TB), which is still one of the world's most serious public health issues [3], [4], [5]. The World Health Organization (WHO) has presented a worldwide TB report per year since 1997, which gives an up-to-date evaluation of the global TB status and analyzes progress and efforts in TB prevention, diagnosis, and treatment at the country, regional, and global levels [3], [6]. The 2020 Global TB Report was published on October 14, 2020, and was collected in the context of global TB control plans and United Nations (UN) objectives announced in the political declaration at the UN General Assembly high level conference on TB in New York in September 2018 [7]. Additionally, the 2021 Global Tuberculosis Report published by the World Health Organization showed that tuberculosis flared up again at the end of 2020, coinciding with the COVID-19 pandemic [8]. In 2019, an estimated 10.0 million persons had TB illness worldwide, with 1.2 million TB fatalities among HIV-negative people and 208, 000 deaths among HIV-positive people. Adults made up 88 percent of all TB patients, while children under the age of 15 made up 12 percent [7], [9], [10]. Tuberculosis is a treatable illness, and a lack of adequately cost-effective and reliable diagnostic techniques is a key impediment to accelerating worldwide TB burden reductions [11], [12]. Over the last decade, there has been a concentrated effort throughout the world to develop molecular screening procedures for tuberculosis, mostly by the detection of pathogen DNA, but also by targeting proteins or lipid compounds and the immunological response to TB infection. Early treatment and rendering patients non-infectious is critical to enhancing TB control and speeding up declining trend [11], [12]. Ultrasensitive new diagnostic procedures that could recognize pulmonary TB earlier at all points of healthcare would inform on treatment initiation, minimize the chances of transmission, improve treatment scanning and results, and inhibit long-term complications [13]. In this review, tuberculosis diagnostic biosensors were presented and discussed, in addition to investigating pathophysiology and ancient diagnostic methods. Given the number of studies conducted in the last decade, only studies from the last years (2018–2023) are presented in this study.

2. Pathophysiology of Mtb

M. tuberculosis is distributed by little airborne particles termed droplet nuclei that are produced by a patient with pulmonary or laryngeal TB via coughing, sneezing, talking, or singing. These microscopic particles can float in the air for minutes to hours [14]. The amount of bacilli in the droplets, the bacilli's virulence, the bacilli's exposure to ultraviolet (UV) radiation, the level of circulation, and the possibilities for aerosolization all have an effect on transmission [15]. The insertion of M. tuberculosis through into lungs causes respiratory system infection; although, the organisms might move to other tissues, like the lymphatics, pleura, bones/joints, or meninges, resulting in extra – pulmonary TB. When breathed, the infected droplets spread throughout the lungs. The bulk of the bacilli are caught in the upper portions of the lungs, where mucus-secreting goblet cells exist. The mucus generated traps foreign things, and the cilia on the surface of the cells regularly beat the mucus and its imprisoned particles upward for ejection [16]. This mechanism supplies the body with an immediate physical protection which inhibit the growth of bacteria in the majority of TB patients [17]. Bacteria in droplets that enter the alveoli without passing via the mucociliary pathway are rapidly encircled and consumed by alveolar macrophages [16], [18], the most numerous immune effector cells in alveolar spaces [19]. These macrophages, the body's second line of defense, are part of the innate immune system and allow the body to eliminate the intruding mycobacteria and avoid infection. Macrophages are easily available phagocytic cells that battle a wide range of diseases without the need for prior pathogen contact. Several processes and macrophage receptors are engaged in mycobacteria absorption [20]. Lipoarabinomannan from mycobacteria is a major substrate for a macrophage receptor [21]. The complement system is also involved in bacterial phagocytosis [22]. The C3 complement protein attaches to the cell wall and improves macrophage identification of mycobacteria. The C3 opsonization occurs quickly, even in the air passages of a host who has never been exposed to M. tuberculosis [23]. The following phagocytosis by macrophages sets off a chain of events that leads to either effective infection management, followed by latent TB, or progression to active illness, known as primary progressive tuberculosis. The effectiveness of the innate immunity and the ratio that happens between host defenses and the intruding pathogen largely affect the result [20], [24]. Mycobacteria continue to proliferate gradually after being swallowed by macrophages, with bacterial cell division happening every 25–32 h [18], [25]. Whether the infection is managed or advances, macrophages produce proteolytic enzymes and cytokines in an effort to destroy the bacteria [20], [26]. T lymphocytes, the cells that make up cell-mediated immunity, are drawn to the site by cytokines secretion. The development of granulomas surrounding M. tuberculosis organisms is the next protective step for those with full cell-mediated immunity [27]. These nodular-type lesions occur as a result of an aggregation of activated T lymphocytes and macrophages, which generates a micro – environment that inhibits mycobacteria proliferation and dissemination [28]. This environment kills macrophages and causes early solid necrosis in the lesion's core; although, the bacilli may adapt and evolve [29]. Furthermore, M. tuberculosis organisms may alter their phenotypic expression, such as protein modulation, to increase their chances of survival [22]. By two or three weeks, the necrotic environment simulates soft cheese and is characterized by low levels of oxygen, low pH, and restricted nutrients. This condition limits potential development and causes delay. Lesions in people with a healthy immune system often undergo fibrosis and calcification, successfully managing the infection and containing the bacilli in the inactive, recovered lesions [29]. In individuals with weakened immune systems, lesions proceed to primary progressive [22], [29].

3. Mtb related biomarkers

Antigen 85A (Ag85A), antigen 85B (Ag85B), heat shock protein 65 (Hsp65), early secretory target antigen (EAST-6) and heat shock protein X (HspX) are the antigens that have been researched and used specially to design a vaccine against Mtb. Mtb secretory and surface proteins (EAST-6) are the major antigens that confer immunity against tuberculosis[30]. These proteins are mycolyl transferase enzymes required for mycobacterial cell wall biosynthesis during tuberculosis pathogenesis [30]. In other words, these antigens can be used as critical biomarkers or biomolecules to detect Mbt infection. Accordingly, as reveal in the Table 2, these antigens have been widely used in biosensor technology research over the past decade.

Table 2.

Mtb developed biosensors (2018–2023).

Molecule Platform Technique Matrix Nanocomposite Linear range LOD Ref
DNA sequences Genosensor
CV, EIS, DPV Clinical samples Flower-like CNTs 1 fM–10 nM 0.33 fM [13]
PNA Electrochemical EIS, CV, DPV Clinical samples TEMPO-NCC 1 × 10−8 M–1 × 10−13 M 3:14 × 10−14 M [14]
DNA sequences Aptasensor CV Serum samples Pt@Au 1.0 × 10−4–2.0 × 102 ng⋅mL−1 3.3 × 10−5 ng⋅mL−1 [15]
antigen ESAT-6 Genosensor CV, SWV, DPV Clinical samples Au-nano-C60/NGS 10 fM–10 nM 3 fM [16]
DNA sequences Genosensor CV Sputum & Urine samples Ag- nanoparticles 1 nM–100 nM (urine),
1 nM–100 nM (sputum)
16 fM [17]
IS6110 gene Fluorescent biosensor FRET Clinical sputum samples QDs 0.05 nM–1.0 nM 35 pM [18]
DNA sequences Photothermal Biosensing UV/Vis spectrometer Genomic DNA & real samples AuNP 4–1200 nM 0.28 nM [19]
DNA sequences Laser biosensor EI, X-ray photoelectron spectroscopy DNA samples silver nanoparticles (AgNPs) 1 fM 10−15 M [20]
CFP10-ESAT6 protein Aptamer-Antibody sensor DPV Clinical sputum samples Nano-labelled Fe3O4/Au MNPs 5–500 ng/mL 1.5 ng/mL [21]
IS6110 and mtp40 genes Lateral Flow Biosensor mLAMP Pure culture & clinical sputum samples SA-PNPs 12.5 ng–125 fg 125 fg per vessel for the pure genomic DNA of Mtb, 4.8 × 103 CFU/ml for the sputum samples [22]
IS6110 gene Genosensor DPV Clinical sputum samples 15 and 100 nM 4.4 nM [23]
IS6110 and mpb64 genes Genosensor MCDA-LFB Clinical sputum samples LFBs based on nanoparticles 1 pg–100 fg 100 fg per reaction [24]
MPT64 antigen Aptasensor & immunosensor ELONA, EIS, DPV Clinical & real samples AuNPs & C60NPs-N-CNTs/GO 1 fg/mL–1 ng/mL 0.33 fg/mL [25]
ESAT-6 antigen Aptasensor
SWV Real samples NG@Zr-MOF-on-Ce-MOF@Tb nanohybrid 100 fg mL−1–10 ng mL−1 12 fg mL−1 [26]
protein MPT64 Immunosensor CV, EIS, DPV Serum samples Graphene oxide, Fe3O4 & PtNPs 5.0 fg·mL−1–1.0 ng·mL−1 0.34 fg·mL−1 [27]
DNA sequence Genosensor EIS Clinical samples Au/3DG 10 fM–0.1 µM 10 fM [28]
Specific Oligonucleotide Sequence
Electrochemical CV, EIS Oligonucleotide Poly(4-HPA)/GE 0.56 (±0.05) μM [29]
Sputum Genosensor CV, DPV Real sample (MPA-Fe3O4 1.0 × 10−6–1.0 × 10−12 M 7.96 × 10−13 M [30]
IS6110 Genosensor
CV, DPV Clinical Samples GO-CHI 7.86 pM–94.3 pM 3.4 pM [31]
CFP10-ESAT6 Immunosensor CV, DPV Antigen (CFP10–ESAT6) CdSe/ZnS QD/SiNP
40–100 ng/mL 1.5 × 10−10 g/mL [32]
Ag85B antigen Immunosensor Spiked and real samples
SiQD & AuNRs 1 × 10−3–1 × 10−10 μg mL−1 13 pg mL−1 [33]
ESAT-6 Immunosensor
CV, EIS Clinical samples NiNPs-rGO 1–100 ng mL−1 1.042 ng mL−1 [34]
Mtb Aptamer–Antibody Sandwich Assay
Chronoamperometry Human serum sample & MT CFP10 antigen Electrografted 4-carboxyphenyl diazonium salt 5–500 ng mL −1 1.22 ng mL −1 & 1.05 ng mL −1 in human serum sample [35]
rpoB gene Genosensor
CV, EIS Real samples
Fe3O4/polypyrrole nanocomposite
1 × 10−6–1 × 10−12 M 1 pM [36]
H37Rv strain Aptasensor EIS Clinical samples AuNPs 1 × 102 cfu/mL to, 1 × 107 cfu/mL 100 cfu/mL [37]
16S rDNA fragment Genosensor
EIS Sputum sample AuNPs 1 × 102–1 × 108 CFU/mL 20 CFU/mL [38]
DNA probe Genosensor
Piezoelectric, EIS Real sample AuNPs 102–108 CFU mL−1 30 CFU mL−1 [39]
16S rDNA Genosensor
EIS Real sample Ti3C2 MXenes & AuNPs 102–108 CFU mL−1 20 CFU mL−1 [40]
DNA sequences Genosensor CV, DPV Clinical samples MWCNT/PPy/KHApNps 100 pM–100 nM 50.3 pM [41]
DNA sequences Genosensor DPV Sputum clinical samples HAPNPTs/PPY/MWCNTs
0.25–200.0 nM 0.141 nM [42]
MPT64 Aptasensor DPV Real sample Au-nanoparticles 0.02–1000 pg·mL−1 10 fg·mL − 1 [43]
ESAT-6 Magnetoresistive biosensing chip GMR technique Real sample Magnetic nanoparticles 12 pg/mL (∼2pM) [44]
IS6110 gene Genosensor CV and EIS Blood sample Gold nanocrystals 0.1–1.0 × 105 fM 0.031 fM [45]
anti-CFP10-ESAT6 Immunosensor DPV Sputum samples Fe3O4/Au MNPs 10–500 ng mL−1 1.5 ng mL−1 [46]
DNA sequences Genosensor LAMP Blinded sputum samples GPNP 1 pg [47]
Heat shock protein X (HspX) Immunosensor SPR Sputum Samples —ـ 116–175 ng mL−1 0.63 ng mL−1 [48]
Mtb Immunosensor MACE Sputum samples GMNP 5000–10,000 CFU/mL [49]
rAg85B Biosensor & AMS SPR Clinical & Sera samples 6.25–200 μg/mL [50]
IS6110 and IS1081 Genosensor SPMS-AIA Clinical sputa 500 pg/µl–5 fg/µl 3.2 copies for IS6110 and 12 copies for IS1081 respectively [51]

4. Mtb detection methods

Sputum is the frequently obtained clinical specimen from patients with pulmonary TB. Even though smear microscopy is a cost-effective and generally used method, its sensitivity was acceptable. Consequently, due to the need to expand the performance of current microbiological tests to provide rapid treatment, different approaches with varied sensitivity and specificity for TB diagnosis have been established. Here we debate the current techniques developed over the two past decades, as well as their strengths and weaknesses. Additionally, interferon gamma-based assays (IGRA) have been able to detect specific cellular immune responses to antigens expressed in M. tuberculosis (ESAT-6: Target early secretory antigen 6 and CFP-10: protein 10 of the culture filtrate), but not in BCG and in many environmental mycobacteria, would improve the sensitivity and specificity of tuberculosis diagnosis [31], [32]. Later, the WHO allotted a guideline not indorsing the use of such tests for the diagnosis of TB [33]. On the one hand, the only in vivo test existing to evaluate M. tuberculosis infection is the tuberculin skin test, which has suitable sensitivity but poor specificity [34]. On the other hand, the new interferon-gamma release assays are specific ex vivo tests [34]. Both techniques are based on the measurement of adaptive host immune response. But, none of these tests can precisely distinguish between active and latent TB [35]. Additional diagnostic tools have been advanced for the detection of M. tuberculosis, as well as viability and, drug susceptibility which can be assessed by metabolic activity responsiveness (recognition of mRNA synthesis or respiration), cell membrane integrity, or nucleic acid recognition [36], [37]. Along with these tests, conventional solid and new liquid media-based methods, which can obtain fast results, have been advanced; though, these tests are quite costly. Other methods (Table 1) have also been described for the detection of pathogenic mycobacteria [38]. Finding recommended, direct molecular detection of M. tuberculosis complex is specific and sensitive and PCR method should be used as an adjunct to other methods of laboratory diagnosis of TB [39]. Real-Time PCR assay to detect M. tuberculosis were employed for detection of TB in several studies [40], [41]. Some important and widely used methods in detection of TB were summarized in Table 1.

Table 1.

Conventional methods in detection of TB.

Methods Disadvantages and limitation Advantages/strengths Ref
Serology Inaccurate and highly inconsistent; WHO has recommended against their clinical use Rapid, inexpensive, results within minutes, can be per- formed with minimal training [1], [2]
Culture Time-consuming, Need for advanced tool (biosafety practices (BSL-3) Gold standard, Inexpensive [1], [2]
TST Not specific for M. tuberculosis. Does not discriminate latent infection from disease. May be positive with BCG vaccination/exposure to atypical mycobacteria. False negative in immunosuppressed, extra-pulmonary or miliary tuberculosis. Complications in test administration and explanation may lead to false results Used for contact tracing, Preferred test in children, Relatively easy to perform, In expensive. [3], [4]
Radiologic Not specific for tuberculosis. Other infectious/grantdomatous/lymphoproliferative/occupational maladies can have showed similar patterns. Low sensitivity, especially for detection of lymphadenopathy. A normal result does not exclude ocular tuberculosis Ability to monitor disease complications and treatment response, Higher sensitivity for detecting nodes Allows for surgical planning Characterization of lymph node morphology and enhancement May differentiate TB from non-TB lymphadenopathy. [5], [6], [7]
IGRAs Higher cost. Unavailable in most cases. Possibly more sensitive to detect latent infection than TST but does not discriminate it from disease. False in immunosuppressed states. Difficulties in collecting or transporting blood specimen may decrease the accuracy. Independent of reader, reproducible, no booster effect, no interference with previous vaccinations [8], [9], [10]
PCR Limited availability and Higher cost. Variable sensitivity. Substandard sensitivity for non-respiratory specimens. Does not allow ruling out tuberculous etiology. Detects only DNA (more prone to contamination and microorganisms may not be viable or may be dormant) Can distinguish Mtb from other acid-fast mycobacteria if smears are positive, Can detect Mtb and drug resistance [10], [11], [12]

As revealed in Table 1, conventional methods have different disadvantages and limitations. To overcome these drawbacks, modern and sensitive techniques are developed extensively in recent years. Biosensors technology are one the most important methods.

5. Biosensors technology

Biosensors are analytical tools that combine biological materials like antibodies and nucleic acids with electronic systems to produce measurable signals [53]. Electronic devices sense, analyze, and send data regarding the existence of various chemical and physiological alterations, as well as biological compounds, in the environment [53]. Biosensors are available in a variety of forms and sizes and therefore can monitor and quantify low concentrations of biomarkers, particular infections, toxic substances, and pH values. Transducers, analytes, bioreceptors, electronic devices, and monitors are all examples of biosensors [53].

The process of signaling creation during the contact between the bio-receptor and analyte is termed to as bio-recognition. Transducers are tools that change energy from one form into another [54], [55]. The transducer, is the essential component of a biosensor that translates the bio-recognition occurring into a detectable electrical signal when a chemical or biological target is present [54], [55]. Signalization refers to the process of converting energy. Transducers also provide electrical or optical signals that are proportional to the number of analyte-bioreceptor interactions. Transducers are categorized into three types based on their operating principles: electrochemical, optical, and mechanical [56], [57]. The transducer's electrical impulses are amplified and transformed to digital shape. The display unit quantifies the processed signals. A user interpretation device, such as a computer or a printer, generates the output such that the appropriate response is understandable and readable by the user [56], [57]. The trends in detection of Mtb, from conventional methods to nanotechnology-based methods and schematic illustration of biosensor technology were presented in the Fig. 1.

Fig. 1.

Fig. 1

A) Trends in detection of Mtb, from conventional methods to nanotechnology-based methods B) Schematic illustration of biosensor technology.

Biosensors can be classified according to the mode of physicochemical transduction or the type of biorecognition element. Based on the transducer, biosensors can be classified as electrochemical, optical, thermal, and piezoelectric biosensors. Biosensor classification was illustrated in Fig. 2.

Fig. 2.

Fig. 2

Biosensor classification.

One of the main classifications related to biosensors is based on the type of biological receptor, among which genosensors and immunosensors are very important. Since most of the biosensors discussed in this study include genetic sensors and immunosensors, a description of these two types of diagnostic platforms will be discussed below [58], [59]. A gene is a distinct genomic region that contains the information necessary for protein synthesis. Gene-based identification methods, such as nucleotide-based sensors, have rapidly developed in recent years to detect genetic diseases, especially viral infections. Nucleotide-based detection “genesensors” are biological devices capable of recognizing a hybridization reaction based on a target nucleic acid (DNA or RNA) [59]. The single-stranded DNA (ssDNA) sequence is called the probe, and the target nucleic acid sequence is the recognition element of the gene-sensor. Their hybridization is monitored by direct profiling, but sometimes, the probe-target DNA complex present on the sensor surface may not induce the desired changes in the transduction values, thus, to improve detection limits, sandwich and competitive formats are preferred for direct use [60]. The principle of direct format is based on label-free detection by immobilizing the ssDNA probe on the surface of the probe, while in sandwich and competition format, the mixture of target DNA and ssDNA probe is incubated on the sensor surface is located through a specific marker used for identification [60], [61]. Immunosensors detect the specific immune response between an antibody and its target antigen, the formation of stable immune complexes, have been of interest in recent years as diagnostic tools which are applicable in industrial monitoring, clinical diagnostics, food monitoring, and environmental analysis [62], [63]. These devices are quick and simple to operate and are therefore suitable for point-of-care analysis. Electrochemical immunosensing is a well-known analytical technique that converts biological reactions into electrochemical reactions [62], [63]. The schematic illustration of genosensor and immunosensor are presented in Fig. 3.

Fig. 3.

Fig. 3

Schematic illustration of genosensor and immunosensor.

6. Mtb biosensors

An amperometric DNA biosensor platform based on a flower-like carbon nanotubes-polyaniline nanohybrid and an enzyme-assisted signal amplification strategy was established for the precise and specific identification of TB in clinical samples. The developed electrode's electrochemical characteristics was studied using cyclic voltammetry (CV), differential pulse voltammetry (DPV) and impedance spectroscopy (EIS). A wide detection linear range of 1 fM–10 nM for Mtb target DNA was produced using a multiple signal amplification technique. More crucially, the universal DNA biosensor demonstrated good specificity and sensitivity for Mtb detection in clinical samples, suggesting that it might be a useful tool for Mtb testing as well as having tremendous promise for additional analytes [64].

An innovative peptide nuclide acid (PNA) electrochemical biosensor based on reduced graphene oxide (NH2-rGO)/2,2,6,6-tetramethylpiperidin-1-yl) oxyl nanocrystalline cellulose (TEMPO-NCC) for the detection of Mtb. The electrochemical characteristics of the proposed electrode was studied using CV and EIS. Meanwhile, DPV was used to assess the sensitivity and selectivity of the developed biosensor for detection of M. tuberculosis (DPV). Using methylene blue (MB) as the electrochemical indicator, the PNA probe-modified (NH2-rGO)/TEMPO-NCC response indicated that the constructed biosensor could differentiate between complementary, non-complementary and one-base mismatch DNA sequences. The designed electrochemical biosensor demonstrated a linear calibration curve in the concentration range of 1 × 10−8 M–1 × 10−11 M with a detection limit of 3.14 × 10−14 M. The created electrochemical biosensor was further tested using a polymerase chain reaction (PCR) product of M. tuberculosis DNA, which demonstrated successful outcomes in identifying between M. tuberculosis negative and positive samples [65].

An electrochemical genosensor was assembled to detect Mtb in lyophilized powder of oligonucleotides of M. tuberculosis. For this purpose, Methylene blue (MB), a photochemical indicator, was utilized to monitor the hybridization of target DNA using the differential pulse voltammetry (DPV) technique. Under ideal conditions, the detection range of the DNA biosensor was 10−6–10−9 M, with a detection limit of 7.853 10−7 M. The findings indicate that composite nanofibers have a high potential for use in a variety of DNA sensor applications [66].

An electrochemical aptasensor was organized to detect M. tuberculosis in serum samples. This paper described a voltammetric aptasensor for ultrasensitive ESAT-6 detection. ESAT-6, a 6-kDa early secretory antigenic target, is an etiological agent released by Mtb. On a glassy carbon electrode, reduced graphene oxide doped with metal–organic framework (MOF-rGO) was deposited glassy carbon electrode (GCE). This promotes electroactive Toluidine Blue (TB) immobilization and enables electron transport from TB to the modified GCE. To further increase the reaction to TB, platinum/gold core/shell (Pt@Au) nanoparticles were employed to construct thiolated ESAT-6 binding aptamer (EBA) on a modified electrode. The modified GCE exhibits a linear response over a wide range from 1.0 × 10−4–2.0 × 102 ng⋅mL−1 ESAT-6 and good sensitivity (LOD) for ESAT-6 as low as 3,3 × 10–5 ng⋅mL−1. The limit of detection (LOD) for ESAT-6 is as low as 3.3 × 10−5 ng⋅mL−1. When evaluating spiked human serum, it demonstrates acceptable specificity and repeatability [67]. For the detection of M. tuberculosis, a novel electrochemical genosensor was designed. For the first time, a nanohybrid composed of gold nanoparticles decorated with nitrogen-doped fullerene nanoparticles/graphene sheets (Au-nano-C60/NGS) effectively provided a new signaling marker for generating a signal response without adding redox molecules and is then labeled with a signal probe (SP) to establish a tracking label to achieve signal amplification. A biotin-avidin method was also used to immobilize numerous capture probes (CPs), which increased the sensitivity of the suggested biosensor. To stimulate the inherent redox activity of the tracer label, the suggested electrochemical DNA biosensor was incubated with tetraoctylammonium bromide (TOAB), which was utilized as an accelerator, leading in a differentiating current response. The suggested electrochemical DNA biosensor has a wide linear range for Mtb determination ranging from 10 fM to 10 nM and a LOD of 3 fM. Furthermore, proposed biosensor identifies Mtb from other pathogenic pathogens as well as mismatched DNA sequences. More notably, it has been used in clinical detection and has demonstrated an exceptional capacity to recognize the Mtb in clinical samples. This discovered approach has a high potential for application in the early diagnosis and monitoring of tuberculosis [68]. An electrochemical biosensor was created for highly specific DNA insertion element 6110 (IS6110) detection of Mtb. This biosensor constructed based on a PCR amplified DNA product on the surface of the working electrode built on FTO-Glass. In this work CV is performed with an Ag/AgCl reference electrode and a platinum counter electrode [69]. Förster resonance energy transfer (FRET) is a procedure involving the non-radiative transfer of energy from a 'donor' fluorophore to an 'acceptor' fluorophore [70]. Briefly, FRET is a distance-dependent interaction between pairs of closely spaced fluorescent donors and acceptors, in which fluorescence energy is radiatively transferred from an excited donor to the corresponding acceptor molecule, Fig. 4 [71]. The efficiency of FRET strongly depends on the distance between the donor and acceptor and the spectral overlap between donor emission and acceptor excitation.

Fig. 4.

Fig. 4

Schematic of FRET technique, Adapted from Ref. [71].

A new optical biosensor based on the FRET method, proposed as a universal fluorescent biosensor for detecting of Mtb unique insertion sequence IS6110 gene fragment [72]. This approach demonstrated good sensitivity, specificity, and excellent potential for rapid TB detection [72]. For the first time, a simple, low-cost, and ubiquitous gold nanoparticle (AuNP) aggregation-induced photothermal biosensing platform has been designed and used for optical quantitative genetic detection utilizing a typical thermometer. Visual quantitative biological analysis may be accomplished by simply capturing temperature signals with a simple thermometer and utilizing the photothermal effect of target-induced gold nanoparticle aggregation. When compared to traditional genetic testing procedures, it is label- and amplification-free and may be done in 40 min without the use of any sophisticated analytical tools. To demonstrate the use of this photothermal biosensing technology, DNA from Mtb was employed as a model target. Despite the lack of a pricey equipment, good sensitivity and specificity were obtained, with a LOD of 0.28 nM, which was approximately 10-fold lower than the colorimetric approach employing a spectrometer. This AuNP aggregation-induced photothermal biosensing technique supplies a simple, low-cost, and ubiquitous platform for wide visual quantitative detection of nucleic acids and many other biomolecules, especially in point-of-care (POC) biosensing applications [73]. Researchers created a green graphene nanofiber laser biosensor (LSG-NF) decorated with oil palm lignin-based synthetic silver nanoparticles. To validate the sensing efficiency, a selective DNA sample captured on AgNPs was examined for specific binding with Mtb target DNA using selective hybridization and mismatch analysis. Electrochemical impedance experiments revealed acceptable sensitive detection of up to 1 fM, with a detection limit of 10−15 M calculated by assuming the signal-to-noise ratio (S/N = 3:1) as 3 σ. The identification of phosphorus and nitrogen peaks using X-ray photoelectron spectroscopy and Fourier-transform infrared spectroscopy demonstrated successful DNA immobilization and hybridization. The planned system showed excellent stability and repeatability. This technique provides a cost-effective potential sensing system for the determination of M. tuberculosis [74].

A portable electrochemical aptamer-antibody based sandwich biosensor has been planned and productively industrialized using an aptamer bioreceptor immobilized onto a SPE surface for Mtb detection in clinical sputum samples. In the sensing approach, a CFP10-ESAT6 binding aptamer was immobilized onto a graphene/polyaniline (GP/PANI)-modified gold working electrode by covalent binding via glutaraldehyde linkage [75]. Nanoparticle-based lateral flow biosensor coupled with a multiplex loop-mediated isothermal amplification was developed for fast and optical distinction of Mtb from the other Mtb complex. Planned system showed acceptable sensitivity and it can be used as a potential screening tool for TB in clinical, field, and basic laboratory settings [76]. Lateral flow biosensor with two target genes based multiple cross displacement amplification combined with a for the detection of M. tuberculosis complex was advanced. The MCDA-LFB assay aiming the IS6110 and mpb64 genes was a simple, fast, sensitive and reliable detection technique, and it has potential significance for the screening and treatment of TB [77].

A sandwich-type electrochemical aptasensor, Fig. 5, for Mtb, MPT64 antigen discovery using C60NPs decorated N-CNTs/GO nanocomposite coupled with conductive PEI-functionalized metal–organic framework was engineered. Planned biosensor displayed a wide linear range and acceptable LOD. Additionally, developed system can be detecting MPT64 antigen in human serum, demonstrating a favorable outlook for TB diagnosis in clinical practice [78].

Fig. 5.

Fig. 5

Developed aptasensor for detection of Mtb, with permission from Ref. [78].

A label-free electrochemical aptasensor, Fig. 6, is described for ultra-sensitive detection of the 6-kDa early secreted antigenic target (ESAT-6) as one of the most important TB antigen. The bimetallic organic framework (b-MOF) of Zr-MOF-On-Ce-MOF was ornamented with nitrogen-doped graphene (NG) and used as the matrix for electroactive toluidine blue (Tb) to form the nanocomposite. The organized nanohybrid with exceptional hydrophilicity, dispersibility, and large specific surface showed noteworthy electrochemical response [79].

Fig. 6.

Fig. 6

Developed electrochemical aptasensor, adapted from Ref. [79].

An electrochemical immunoassay for high sensitive determination of the Mtb secretory protein MPT64 which is an antigen for early diagnosis of infection with Mtb. The protein G was used to immobilize antibodies against MPT64 on a gold electrode. Additionally, nanocomposite of type GO@Fe3O4@Pt was applied as a signal reporter with exceptional recyclability and catalytic activity [80]. An electrochemical genosensor was advanced for detection of the genetic codes preserved from the Mtb, its specific complementary target and interfering with more than 60 % of complementarity [81]. An ultra-sensitive electrochemical genosensor based on nanocellulose crystalline functionalized cetyl trimethyl ammonium bromide (NCC/CTAB) with functionalized iron oxide mercaptopropionic acid (MPA-Fe3O4) nanoparticle and has been fabricated for the detection of Mtb. In this research, a simple drop cast method was used to deposit solution of MPA-Fe3O4/NCC/CTAB onto the surface of the screen printed carbon electrode (SPCE) [82]. A simple electrochemical-based SPCE biosensor Fig. 7, for Mtb detection, using CFP10-ESAT6 as protein biomarker. In this work the active surface area of CdSe/ZnS QD/SiNPs/SPCE was applied as a positive surface that showed wide linearity and acceptable LOD [83].

Fig. 7.

Fig. 7

CdSe/ZnS QD/SiNP Electrochemical Immunosensor for the Detection of Mtb, adapted from Ref. [83].

A simple and sensitive sandwich assay for recognition of Mtb, Ag85B antigen using quantum dots and gold nanorods was engineered. A genetically planned recombinant antibody (GBP-50B14 and SiBP-8B3) was bound to surfaces of AuNRs and SiQDs respectively, without any surface modification. Created biosensor displayed a good sensitivity and selectivity for Ag85B-expressing Mtb detection [84].

A stable and recyclable immunosensor for the fast detection of Mtb based on the detection and quantification of ESAT-6 by CV. The immunosensor was synthesized by polymerizing aniline dispersed with the rGO and NiNPs, followed by surface modification of the electroconductive polyaniline (PANI) film with anti-ESAT-6 antibody. Physicochemical description of the prepared materials was performed by several analytical techniques appropriately [85]. An ecofriendly aptamer-antibody-based sandwich biosensor employing ChA for rapid and primary detection of Mtb CFP10 antigen was described. The recommended aptamer-based sensor was simple, sensitive, and disposable, thus suitable for point-of-care tuberculosis detection. This work similarly, highlights the use of CFP10 aptamer as a cost-effective and stable alternative reagent to antibodies for the progress of an improved identification of tuberculosis [86]. An innovaitive biosensor for the fast detection and differentiation of Mtb was proposed properly. For this purpose, multiplex loop-mediated isothermal amplification (mLAMP) combined with a nanoparticle-based lateral flow biosensor (LFB), was established (mLAMP-LFB) were employed [76]. Similarly, for sensitive detection of IS6110 gene as one of the important Mtb biomarker. Electrochemical analyzes were performed using DPV by measuring the methylene blue reduction signal after and before hybridization between the synthetic target and the probe or between DNA extracted from clinical sputum samples [87]. Gold nanorods integrate a novel 3D graphene nanocomposite for selective biosensing for rapid recognition of Mtb. Developed genosensor proved high-performance bio-sensing and opens a novel opportunity for Mtb detection [88]. A biosensor method based-on poly(4-HPA)/GE platform efficiency was fabricated for detection Mtb. The polymer used facilitates target hybridization and optimizes probe adsorption parameters, leading to progress in reducing the methylene blue reduction signal [81]. Iron Oxide/Nanocellulose Crystalline nanocomposite was fabricated as a genosensor based on modified SPCE for determination of Mtb. Wide range linearity and good LOD was reported for real samples analyses [82]. Graphene oxide-chitosan nanocomposite (GO-CHI), as a biocompatible matrix, was immobilized on the ITO surface to form an active functional electrochemical sensor for Mtb detection. A DNA probe, specific for IS6110, which electrostatically fixed on a positively charged electrode surface were employed for sensitive and specific detection of Mtb by CV and DPV [89]. An original immunesensor based on surface enhanced CdSe/ZnS QD/SiNP platform was assembly for sensitive detection of Mtb CFP10-ESAT6 antigens. Developed biosensor displayed good reproducibility of target analyte with a qualified standard deviation [90]. E-DNA of rpoB gene as an important resistance gene was determined in real samples using Fe3O4/polypyrrole nanocomposite. The resulting biosensor can detect the rpoB gene in PCR-amplified genomic DNA samples and can also differentiate between the wild-type rpoB gene and a single-nucleotide mutated rpoB gene that confers resistance to rifampicin [91]. Additionally, the sensor can selectively detect wild-type and mutant DNA in genomic samples without the need for PCR amplification [91]. AuNPs-DNA combined with Aptamer were fabricated for detection of strain H37Rv Mtb. The planned sensor was sensitive and specific and rapid operation [92]. An original 16S rDNA series piezoelectric quartz crystal (MSPQC) sensor based on Exonuclease III (Exo III)-assisted target recycling was improved for Mtb recognition. The Mtb-specific 16S rDNA fragment was used as a biomarker, and DNA capture probes complementary to the biomarker were designed and modified on the AuNP surface. Exo III, was capable of recognizing hybrid duplexes and selectively processing the DNA capture probe, which used to facilitate the digestion cycle by digesting the DNA capture probe and discharging the target fragment [93]. A piezoelectric sensing method based on AuNPs-mediated enzyme assisted signal amplification platform was developed for detection of Mtb 16 S rDNA fragment. The created sensor can enable rapid and sensitive detection of M. tuberculosis. Furthermore, this method can be converted to various microbial targets, which is suitable for the further development of small handheld devices and multifunctional detection [94]. A sensor platform based-on two-dimensional Ti3C2 Mxenes 16S rDNA gene was advanced for electrochemicaly sensing of Mtb. The planned biosystem was applicable for rapid detection of specific fragment of 16S rDNA of Mtb H37Ra strain [95]. A novel nanobiosensor as a rapid, inexpensive method was advanced for Mtb detection. The engineered sensor was PCR-free with high specificity and sensitivity, using Multi walled carbon nanotubes (MWCNTs), potassium-substituted hydroxyapatite (KHAp) nanoparticles and polypyrrole [96]. A new electrochemical genosensor was developed based on HAPNPTs/PPY/MWCNTs nanocomposite for detecting Mtb. Assembled nanocomposite surface hybridized to a complementary target sequence based on the oxidation signal of the electroactive methylene blue on the surface of the modified GCE using DPV method [97]. A high sensetive aptasensor was designated for the CV determination of the Mtb antigen MPT64 in human serum. Initially, amino-modified Zr(IV)-based metal–organic frameworks with high specific surface area were produced and used as supports for gold nanoparticles and aptamers [98]. Magnetoresistance (GMR) sensor was developed for ESAT-6 detection. The produced tool shows that ESAT-6 concentrations can be detected in the pg/mL range compared to other transduction techniques available for ESAT-6 detection, and furthermore, the signal intensity increases with increased concentration [99]. Gold nanocrystals were used for electrochemical detection of the Mtb IS6110 gene. The detection signal was further enhanced by the catalyzed redox reaction of thionine with gold nanocrystals. The DPV signal increased with increasing target DNA concentration within range and with good LOD. This method provides extremely high sensitivity, specificity, and stability and has been successfully applied to detect tuberculosis in human blood [100]. A cost-effective, rapid, and portable, sandwich immunosensor approach was settled to detect Mtb in sputum samples. Using a sandwich-type immunosensor, with immobilization of anti-CFP10-ESAT6 antibody on a graphene/polyaniline (GP/PANI) modified SPE. After incubation with the target antigen CFP10-ESAT6, iron/gold magnetic nanoparticles (Fe3O4/Au MNPs) conjugated with anti-CFP10-ESAT6 antibody were applied to complete the sandwich format [101]. Combined ring-mediated isothermal amplification using a graphene-based electrochemical gene sensor was improved for the real-time identification of Mtb-specific DNA amplicons. The technique developed is a highly specific technique that detects the presence of tuberculosis in all sputum samples with the highest accuracy. Furthermore, this method can be easily applied clinically due to its affordability, speed, and feasibility without the need for advanced tools [102]. A facile, portable, and inexpensive biosensor was proposed to detect heat shock protein X (HspX) of Mtb. Following this approach, established a label-free Surface plasmon resonance (SPR) biosensor for direct immunoassay and quantification of X (HspX) as a well-established biomarker of pathogens. This method is based on highly specific monoclonal antibodies that have been previously immobilized on the plasmonic sensor surface [103]. A novel nanoparticle-based biological colorimetric assay (NCBA) for the detection of tuberculosis that is globally accessible and inexpensive with culture-equivalent sensitivity has been constructed. The results showed that NCBA had high sensitivity and specificity, respectively, compared to the control culture method [104]. Mass spectrometry (MS) is a method of analyzing target complexes based on their mass/charge ratio. MS separates and senses the composition of components by the difference in mass of atoms, molecules or molecular fragments of that substance thanks to the principle that charged particles have the ability to deflect in an electromagnetic field [105]. Determination of epitope and affinity of recombinant Mtb Ag85B antigen for anti-Ag85 antibody by proteolytic affinity mass spectrometry and biosensor analysis. These combined methods allowed the recognition of different epitope regions clustered on recombinant Mtb antigens, and their affinity binding constants when interacting with specific antibodies, and showed the importance of protecting against excessive glycosylation [106]. A silicon ring photonic sensor and asymmetric isothermal amplification technique (SPMS-AIA) was developed for rapid, isothermal, label-free, and real-time detection of Mtb. The performance of the SPMS-AIA platform was evaluated by detecting two IS6110 and IS1081 as MtbC-specific biomarkers [107]. More detail of Mtb developed biosensors (2018–2023) were summarized in the Table 2.

7. Conclusion

Biosensors have attracted much attention for M. tuberculosis due to their sensitivity and reduced assay time. Several biosensors have been established, including electrochemical, SPR, optical, mechanical, and QCM. The inherent specificity and sensitivity of developed biosensors make them ideal candidates for clinical applications. In developed biosensors, M. tuberculosis have been used as biorecognition elements in various protocols, such as electrode surface creation and immobilization on nanomaterials. Thus, the inherent properties of bacteria to differentially bind to specific analytes characterizes nanoparticle as interesting building blocks for new interdisciplinary electrochemical studies. Therefore, linking highly specific biosensors by an electrochemical method is a highly sensitive, inexpensive, simple and promising way to obtain superior sensors compared to other detection approaches. Although biosensors are described as sensitive, easy-to-use and cost-effective tools, their development still faces many challenges. In other words, although much progress has been made in the field of biosensors for microbial detection, there is still a need for modern biosensors to overcome the limitations of developed biosensors. It should be noted that currently most of the biosensors developed are used in research and in most cases their miniaturization and commercialization have not yet been achieved. Therefore, future studies should focus on the practical use of biosensors in medical diagnostic centers as an alternative tool to old methods. According to the advances achieved in the field of biosensing, the realization of an ideal detection system can be expected in the near future.

Ethics (NA)

Consent for publication (NA)

Availability of data and materials (NA)

Funding (NA)

CRediT authorship contribution statement

Ahmad Mobed: Conceptualization, Supervision. Mohammad Darvishi: Writing – original draft. Fereshteh Kohansal: Data curation. Fatemeh Moradi Dehfooli: Conceptualization, Supervision. Iraj Alipourfard: Investigation. Amir Tahavvori: Writing – original draft. Farhood Ghazi: Writing – original draft.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

This study was supported by the Physical Medicine and Rehabilitation Research Center, Aging Research Institute, Faculty of Medicine, Tabriz University of Medical Sciences, Iran

References

  • 1.Brode S., Daley C., Marras T. The epidemiologic relationship between tuberculosis and non-tuberculous mycobacterial disease: a systematic review. Int J Tuberc Lung Dis. 2014;18(11):1370–1377. doi: 10.5588/ijtld.14.0120. [DOI] [PubMed] [Google Scholar]
  • 2.Jagielski T., van Ingen J., Rastogi N., Dziadek J., Mazur P.K., Bielecki J. Current Methods in the molecular typing of Mycobacterium tuberculosis and other mycobacteria. Biomed Res Int. 2014;2014 doi: 10.1155/2014/645802. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Mtetwa HN. Evaluation of antibiotic-resistant bacteria and genes associated with tuberculosis treatment regimens from wastewater treatment plants in South Africa 2022.
  • 4.Saelens J.W., Viswanathan G., Tobin D.M. Mycobacterial evolution intersects with host tolerance. Front Immunol. 2019;10:528. doi: 10.3389/fimmu.2019.00528. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Behr M.A., Gagneux S. Elsevier; 2011. The rise and fall of the Mycobacterium tuberculosis complex. Genetics and evolution of infectious disease; pp. 651–667. [Google Scholar]
  • 6.Bagcchi S. WHO's global tuberculosis report 2022. The Lancet Microbe. 2023;4(1):e20. doi: 10.1016/S2666-5247(22)00359-7. [DOI] [PubMed] [Google Scholar]
  • 7.Chakaya J., Khan M., Ntoumi F., Aklillu E., Fatima R., Mwaba P., et al. Global Tuberculosis Report 2020–Reflections on the Global TB burden, treatment and prevention efforts. Int J Infect Dis. 2021;113:S7–S12. doi: 10.1016/j.ijid.2021.02.107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Lin E.-C., Tu H.-P., Hong C.-H. Limited effect of reducing pulmonary tuberculosis incidence amid mandatory facial masking for COVID-19. Respir Res. 2023;24(1):54. doi: 10.1186/s12931-023-02365-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Biermann O., Tran P.B., Viney K., Caws M., Lönnroth K., Sidney A.K. Active case-finding policy development, implementation and scale-up in high-burden countries: a mixed-methods survey with National Tuberculosis Programme managers and document review. PLoS One. 2020;15(10):e0240696. doi: 10.1371/journal.pone.0240696. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Nyasulu P.S., Ngasama E., Tamuzi J.L., Sigwadhi L.N., Ozougwu L.U., Nhandara R.B., et al. Effect of HIV status and antiretroviral treatment on treatment outcomes of tuberculosis patients in a rural primary healthcare clinic in South Africa. PLoS One. 2022;17(10):e0274549. doi: 10.1371/journal.pone.0274549. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.McNerney R., Maeurer M., Abubakar I., Marais B., Mchugh T.D., Ford N., et al. Tuberculosis diagnostics and biomarkers: needs, challenges, recent advances, and opportunities. J Infect Dis. 2012;205(suppl_2):S147–S158. doi: 10.1093/infdis/jir860. [DOI] [PubMed] [Google Scholar]
  • 12.Organization WH. Accelerating progress on HIV, tuberculosis, malaria, hepatitis and neglected tropical diseases: a new agenda for 2016-2030. 2015.
  • 13.Bates M., Zumla A. The development, evaluation and performance of molecular diagnostics for detection of Mycobacterium tuberculosis. Expert Rev Mol Diagn. 2016;16(3):307–322. doi: 10.1586/14737159.2016.1139457. [DOI] [PubMed] [Google Scholar]
  • 14.Lee R.E., Li W., Chatterjee D., Lee R.E. Rapid structural characterization of the arabinogalactan and lipoarabinomannan in live mycobacterial cells using 2D and 3D HR-MAS NMR: structural changes in the arabinan due to ethambutol treatment and gene mutation are observed. Glycobiology. 2005;15(2):139–151. doi: 10.1093/glycob/cwh150. [DOI] [PubMed] [Google Scholar]
  • 15.Nolan C.M., Blumberg H.M., Taylor Z., Bernardo J. American thoracic society/centers for disease control and prevention/infectious diseases society of America: Controlling tuberculosis in the United States. Am J Respir Crit Care Med. 2005;172(9):1169. doi: 10.1164/rccm.2508001. [DOI] [PubMed] [Google Scholar]
  • 16.Frieden T.R., Munsiff S.S. The DOTS strategy for controlling the global tuberculosis epidemic. Clin Chest Med. 2005;26(2):197–205. doi: 10.1016/j.ccm.2005.02.001. [DOI] [PubMed] [Google Scholar]
  • 17.Jensen PA, Lambert LA, Iademarco MF, Ridzon R. Guidelines for preventing the transmission of Mycobacterium tuberculosis in health-care settings, 2005. [PubMed]
  • 18.Society AT, Control CfD, Prevention. Diagnostic standards and classification of tuberculosis in adults and children. Am J Respir Crit Care Med. 2000;161:1376-95. [DOI] [PubMed]
  • 19.Korf J.E., Pynaert G., Tournoy K., Boonefaes T., Van Oosterhout A., Ginneberge D., et al. Macrophage reprogramming by mycolic acid promotes a tolerogenic response in experimental asthma. Am J Respir Crit Care Med. 2006;174(2):152–160. doi: 10.1164/rccm.200507-1175OC. [DOI] [PubMed] [Google Scholar]
  • 20.Van Crevel R., Ottenhoff T.H., Van Der Meer J.W. Innate immunity to Mycobacterium tuberculosis. Clin Microbiol Rev. 2002;15(2):294–309. doi: 10.1128/CMR.15.2.294-309.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Bhunia S.K., Sarkar M., Banerjee A., Giri B. An update on pathogenesis and management of tuberculosis with special reference to drug resistance. Asian Pacific J Trop Disease. 2015;5(9):673–686. [Google Scholar]
  • 22.Li Y.-j., Petrofsky M., Bermudez L.E. Mycobacterium tuberculosis uptake by recipient host macrophages is influenced by environmental conditions in the granuloma of the infectious individual and is associated with impaired production of interleukin-12 and tumor necrosis factor alpha. Infect Immun. 2002;70(11):6223–6230. doi: 10.1128/IAI.70.11.6223-6230.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Ferguson J.S., Weis J.J., Martin J.L., Schlesinger L.S. Complement protein C3 binding to Mycobacterium tuberculosis is initiated by the classical pathway in human bronchoalveolar lavage fluid. Infect Immun. 2004;72(5):2564–2573. doi: 10.1128/IAI.72.5.2564-2573.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Guyot-Revol V., Innes J.A., Hackforth S., Hinks T., Lalvani A. Regulatory T cells are expanded in blood and disease sites in patients with tuberculosis. Am J Respir Crit Care Med. 2006;173(7):803–810. doi: 10.1164/rccm.200508-1294OC. [DOI] [PubMed] [Google Scholar]
  • 25.Mishra D.K., Shukla S. A review on herbal treatment of tuberculosis. Int Res J Pharm Med Sci. 2020;3(5):6–10. [Google Scholar]
  • 26.Babaki M.K.Z., Taghiabadi M., Soleimanpour S., Moghadam M.S., Mosavat A., Amini A.A., et al. Mycobacterium tuberculosis Ag85b: hfcγ1 recombinant fusion protein as a selective receptor-dependent delivery system for antigen presentation. Microb Pathog. 2019;129:68–73. doi: 10.1016/j.micpath.2019.01.045. [DOI] [PubMed] [Google Scholar]
  • 27.Rosenkrands I., Slayden R.A., Crawford J., Aagaard C., Barry C.E., III, Andersen P. Hypoxic response of Mycobacterium tuberculosis studied by metabolic labeling and proteome analysis of cellular and extracellular proteins. J Bacteriol. 2002;184(13):3485–3491. doi: 10.1128/JB.184.13.3485-3491.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Scriba T.J., Coussens A.K., Fletcher H.A. Human immunology of tuberculosis. Microbiol Spectrum. 2017;5(1):15. doi: 10.1128/microbiolspec.TBTB2-0016-2016. [DOI] [PubMed] [Google Scholar]
  • 29.Dheda K., Booth H., Huggett J.F., Johnson M.A., Zumla A., Rook G.A. Lung remodeling in pulmonary tuberculosis. J Infect Dis. 2005;192(7):1201–1210. doi: 10.1086/444545. [DOI] [PubMed] [Google Scholar]
  • 30.Mobed A. DNA based vaccines against Mycobacterium tuberculosis: recent progress in vaccine development and delivery system. Iran J Immunol. 2020;17(4):255–274. doi: 10.22034/iji.2020.87480.1806. [DOI] [PubMed] [Google Scholar]
  • 31.Pfyffer G.E. Mycobacterium: general characteristics, laboratory detection, and staining procedures. Manual Clin Microbiol. 2015,:536–569. [Google Scholar]
  • 32.Pai M., Zwerling A., Menzies D. Systematic review: T-cell–based assays for the diagnosis of latent tuberculosis infection: an update. Ann Intern Med. 2008;149(3):177–184. doi: 10.7326/0003-4819-149-3-200808050-00241. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Morris K. WHO recommends against inaccurate tuberculosis tests. Lancet. 2011;377(9760):113–114. doi: 10.1016/s0140-6736(11)60005-6. [DOI] [PubMed] [Google Scholar]
  • 34.Andersen P., Munk M., Pollock J., Doherty T. Specific immune-based diagnosis of tuberculosis. Lancet. 2000;356(9235):1099–1104. doi: 10.1016/s0140-6736(00)02742-2. [DOI] [PubMed] [Google Scholar]
  • 35.Jung J., Jhun B.W., Jeong M., Yoon S.J., Huh H.J., Jung C.W., et al. Is the new interferon-gamma releasing assay beneficial for the diagnosis of latent and active mycobacterium tuberculosis infections in tertiary care setting? J Clin Med. 2021;10(7):1376. doi: 10.3390/jcm10071376. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Chopra H., Mohanta Y.K., Rauta P.R., Ahmed R., Mahanta S., Mishra P.K., et al. An insight into advances in developing nanotechnology based therapeutics, drug delivery, diagnostics and vaccines: multidimensional applications in tuberculosis disease management. Pharmaceuticals. 2023;16(4):581. doi: 10.3390/ph16040581. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Nieto Ramirez L.M., Quintero Vargas K., Diaz G. Whole genome sequencing for the analysis of drug resistant strains of Mycobacterium tuberculosis: a systematic review for bedaquiline and delamanid. Antibiotics. 2020;9(3):133. doi: 10.3390/antibiotics9030133. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Keer J., Birch L. Molecular methods for the assessment of bacterial viability. J Microbiol Methods. 2003;53(2):175–183. doi: 10.1016/s0167-7012(03)00025-3. [DOI] [PubMed] [Google Scholar]
  • 39.Alli O.A., Ogbolu O.D., Alaka O.O. Direct molecular detection of Mycobacterium tuberculosis complex from clinical samples – an adjunct to cultural method of laboratory diagnosis of tuberculosis. N Am J Med Sci. 2011;3(6):281–288. doi: 10.4297/najms.2011.3281. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Wei Z., Zhang X., Wei C., Yao L., Li Y., Zhang X., et al. Diagnostic accuracy of in-house real-time PCR assay for Mycobacterium tuberculosis: a systematic review and meta-analysis. BMC Infect Dis. 2019;19(1):1–11. doi: 10.1186/s12879-019-4273-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Takahashi T., Nakayama T. Novel technique of quantitative nested real-time PCR assay for Mycobacterium tuberculosis DNA. J Clin Microbiol. 2006;44(3):1029–1039. doi: 10.1128/JCM.44.3.1029-1039.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Pai N.P., Pai M. Point-of-care diagnostics for HIV and tuberculosis: landscape, pipeline, and unmet needs. Discov Med. 2012;13(68):35–45. [PubMed] [Google Scholar]
  • 43.Ramalingam G., Jayaraman S., Khan J.M., Ahmed M.Z., Ahmad A., Manickan E., et al. Exploring recombinant secretory proteins from Mycobacterium tuberculosis to develop a serological platform for tuberculosis diagnosis. Int J Biol Macromol. 2023;126769 doi: 10.1016/j.ijbiomac.2023.126769. [DOI] [PubMed] [Google Scholar]
  • 44.Bamford A.R., Crook A.M., Clark J.E., Nademi Z., Dixon G., Paton J.Y., et al. Comparison of interferon-γ release assays and tuberculin skin test in predicting active tuberculosis (TB) in children in the UK: a paediatric TB network study. Arch Dis Child. 2010;95(3):180–186. doi: 10.1136/adc.2009.169805. [DOI] [PubMed] [Google Scholar]
  • 45.Krutikov M., Faust L., Nikolayevskyy V., Hamada Y., Gupta R.K., Cirillo D., et al. The diagnostic performance of novel skin-based in-vivo tests for tuberculosis infection compared with purified protein derivative tuberculin skin tests and blood-based in vitro interferon-γ release assays: a systematic review and meta-analysis. Lancet Infect Dis. 2022;22(2):250–264. doi: 10.1016/S1473-3099(21)00261-9. [DOI] [PubMed] [Google Scholar]
  • 46.Burrill J., Williams C.J., Bain G., Conder G., Hine A.L., Misra R.R. Tuberculosis: a radiologic review. Radiographics. 2007;27(5):1255–1273. doi: 10.1148/rg.275065176. [DOI] [PubMed] [Google Scholar]
  • 47.Nachiappan A.C., Rahbar K., Shi X., Guy E.S., Mortani Barbosa E.J., Jr., Shroff G.S., et al. Pulmonary tuberculosis: role of radiology in diagnosis and management. Radiographics. 2017;37(1):52–72. doi: 10.1148/rg.2017160032. [DOI] [PubMed] [Google Scholar]
  • 48.Nel M., Franckling-Smith Z., Pillay T., Andronikou S., Zar H.J. Chest imaging for pulmonary TB—an update. Pathogens. 2022;11(2):161. doi: 10.3390/pathogens11020161. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Starke J.R., Diseases C.O.I., Byington C.L., Maldonado Y.A., Barnett E.D., Davies H.D., et al. Interferon-γ release assays for diagnosis of tuberculosis infection and disease in children. Pediatrics. 2014;134(6):e1763–e1773. doi: 10.1542/peds.2014-2983. [DOI] [PubMed] [Google Scholar]
  • 50.Sester M., Sotgiu G., Lange C., Giehl C., Girardi E., Migliori G.B., et al. Interferon-γ release assays for the diagnosis of active tuberculosis: a systematic review and meta-analysis. Eur Respir J. 2011;37(1):100–111. doi: 10.1183/09031936.00114810. [DOI] [PubMed] [Google Scholar]
  • 51.Prabu V., Agrawal S. Systemic lupus erythematosus and tuberculosis: a review of complex interactions of complicated diseases. J Postgrad Med. 2010;56(3):244–250. doi: 10.4103/0022-3859.68653. [DOI] [PubMed] [Google Scholar]
  • 53.Peña-Bahamonde J., Nguyen H.N., Fanourakis S.K., Rodrigues D.F. Recent advances in graphene-based biosensor technology with applications in life sciences. J Nanobiotechnol. 2018;16(1):1–17. doi: 10.1186/s12951-018-0400-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Perumal V., Hashim U. Advances in biosensors: principle, architecture and applications. J Appl Biomed. 2014;12(1):1–15. [Google Scholar]
  • 55.Biswas P., Karn A.K., Balasubramanian P., Kale P.G. Biosensor for detection of dissolved chromium in potable water: a review. Biosens Bioelectron. 2017;94:589–604. doi: 10.1016/j.bios.2017.03.043. [DOI] [PubMed] [Google Scholar]
  • 56.Naresh V, Lee N. A Review on Biosensors and Recent Development of Nanostructured Materials-Enabled Biosensors. Sensors (Basel). 2021;21(4). [DOI] [PMC free article] [PubMed]
  • 57.Kulkarni M.B., Ayachit N.H., Aminabhavi T.M. Biosensors and microfluidic biosensors: from fabrication to application. Biosensors. 2022;12(7):543. doi: 10.3390/bios12070543. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Hasanzadeh M., Tagi S., Solhi E., Shadjou N., Jouyban A., Mokhtarzadeh A. Immunosensing of breast cancer prognostic marker in adenocarcinoma cell lysates and unprocessed human plasma samples using gold nanostructure coated on organic substrate. Int J Biol Macromol. 2018;118(Pt A):1082–1089. doi: 10.1016/j.ijbiomac.2018.06.091. [DOI] [PubMed] [Google Scholar]
  • 59.Zhang H., Yang S., Zeng J., Li X., Chuai R. A genosensor based on the modification of a microcantilever: a review. Micromachines. 2023;14(2):427. doi: 10.3390/mi14020427. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Mohammadi H., Yammouri G., Amine A. Current advances in electrochemical genosensors for detecting microRNA cancer markers. Curr Opin Electrochem. 2019;16:96–105. [Google Scholar]
  • 61.Sadighbathi S., Mobed A. Genosensors, a nanomaterial-based platform for microRNA-21 detection, non-invasive methods in early detection of cancer. Clin Chim Acta. 2022;530:27–38. doi: 10.1016/j.cca.2022.02.012. [DOI] [PubMed] [Google Scholar]
  • 62.Li Z., Zhang J., Huang Y., Zhai J., Liao G., Wang Z., et al. Development of electroactive materials-based immunosensor towards early-stage cancer detection. Coord Chem Rev. 2022;471 [Google Scholar]
  • 63.Dong J., Ueda H. Recent advances in quenchbody, a fluorescent immunosensor. Sensors. 2021;21(4):1223. doi: 10.3390/s21041223. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Chen Y., Guo S., Zhao M., Zhang P., Xin Z., Tao J., et al. Amperometric DNA biosensor for Mycobacterium tuberculosis detection using flower-like carbon nanotubes-polyaniline nanohybrid and enzyme-assisted signal amplification strategy. Biosens Bioelectron. 2018;119:215–220. doi: 10.1016/j.bios.2018.08.023. [DOI] [PubMed] [Google Scholar]
  • 65.Zaid M.H.M., Abdullah J., Yusof N.A., Wasoh H., Sulaiman Y., Noh M.F.M., et al. Reduced graphene oxide/tempo-nanocellulose nanohybrid-based electrochemical biosensor for the determination of mycobacterium tuberculosis. J Sens. 2020;2020 [Google Scholar]
  • 66.Mohamad F.S., Mat Zaid M.H., Abdullah J., Zawawi R.M., Lim H.N., Sulaiman Y., et al. Synthesis and characterization of polyaniline/graphene composite nanofiber and its application as an electrochemical DNA biosensor for the detection of Mycobacterium tuberculosis. Sensors. 2017;17(12):2789. doi: 10.3390/s17122789. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Li L., Yuan Y., Chen Y., Zhang P., Bai Y., Bai L. Aptamer based voltammetric biosensor for Mycobacterium tuberculosis antigen ESAT-6 using a nanohybrid material composed of reduced graphene oxide and a metal-organic framework. Microchim Acta. 2018;185(8):1–9. doi: 10.1007/s00604-018-2884-5. [DOI] [PubMed] [Google Scholar]
  • 68.Bai L., Chen Y., Liu X., Zhou J., Cao J., Hou L., et al. Ultrasensitive electrochemical detection of Mycobacterium tuberculosis IS6110 fragment using gold nanoparticles decorated fullerene nanoparticles/nitrogen-doped graphene nanosheet as signal tags. Anal Chim Acta. 2019;1080:75–83. doi: 10.1016/j.aca.2019.06.043. [DOI] [PubMed] [Google Scholar]
  • 69.Ramos-Sono D., Laureano R., Rueda D., Gilman R.H., La Rosa A., Ruiz J., et al. An electrochemical biosensor for the detection of Mycobacterium tuberculosis DNA from sputum and urine samples. PLoS One. 2020;15(10):e0241067. doi: 10.1371/journal.pone.0241067. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Paul R., Suklabaidya S., Hussain S.A. Fluorescence resonance energy transfer (FRET) as biomarkers. Mater Today: Proc. 2021;46:6301–6303. [Google Scholar]
  • 71.Khanmiri H.H., Yazdanfar F., Mobed A., Rezamohammadi F., Rahmani M., Haghgouei T. Biosensors; noninvasive method in detection of C-reactive protein (CRP) Biomed Microdevices. 2023;25(3):27. doi: 10.1007/s10544-023-00666-y. [DOI] [PubMed] [Google Scholar]
  • 72.Liang L., Chen M., Tong Y., Tan W., Chen Z. Detection of Mycobacterium Tuberculosis IS6110 gene fragment by fluorescent biosensor based on FRET between two-dimensional metal-organic framework and quantum dots-labeled DNA probe. Anal Chim Acta. 2021;1186 doi: 10.1016/j.aca.2021.339090. [DOI] [PubMed] [Google Scholar]
  • 73.Zhou W., Hu K., Kwee S., Tang L., Wang Z., Xia J., et al. Gold nanoparticle aggregation-induced quantitative photothermal biosensing using a thermometer: a simple and universal biosensing platform. Anal Chem. 2020;92(3):2739–2747. doi: 10.1021/acs.analchem.9b04996. [DOI] [PubMed] [Google Scholar]
  • 74.Tai M.J.Y., Perumal V., Gopinath S.C., Raja P.B., Ibrahim M.N.M., Jantan I.N., et al. Laser-scribed graphene nanofiber decorated with oil palm lignin capped silver nanoparticles: a green biosensor. Sci Rep. 2021;11(1):1–9. doi: 10.1038/s41598-021-85039-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Azmi U.Z.M., Yusof N.A., Abdullah J., Mohammad F., Ahmad S.A.A., Suraiya S., et al. Aptasensor for the Detection of Mycobacterium tuberculosis in Sputum Utilising CFP10-ESAT6 Protein as a Selective Biomarker. Nanomaterials. 2021;11(9):2446. doi: 10.3390/nano11092446. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Yang X., Huang J., Chen X., Xiao Z., Wang X., Chen Y., et al. Rapid and visual differentiation of mycobacterium tuberculosis from the Mycobacterium tuberculosis complex using multiplex loop-mediated isothermal amplification coupled with a nanoparticle-based lateral flow biosensor. Front Microbiol. 2021;12 doi: 10.3389/fmicb.2021.708658. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Huang J., Xiao Z., Yang X., Chen X., Wang X., Chen Y., et al. Two target genes based multiple cross displacement amplification combined with a lateral flow biosensor for the detection of Mycobacterium tuberculosis complex. BMC Microbiol. 2021;21(1):267. doi: 10.1186/s12866-021-02328-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Chen Y., Liu X., Guo S., Cao J., Zhou J., Zuo J., et al. A sandwich-type electrochemical aptasensor for Mycobacterium tuberculosis MPT64 antigen detection using C60NPs decorated N-CNTs/GO nanocomposite coupled with conductive PEI-functionalized metal-organic framework. Biomaterials. 2019;216 doi: 10.1016/j.biomaterials.2019.119253. [DOI] [PubMed] [Google Scholar]
  • 79.Xie J., Mu Z., Yan B., Wang J., Zhou J., Bai L. An electrochemical aptasensor for Mycobacterium tuberculosis ESAT-6 antigen detection using bimetallic organic framework. Microchim Acta. 2021;188(11):404. doi: 10.1007/s00604-021-05058-8. [DOI] [PubMed] [Google Scholar]
  • 80.Gou D., Xie G., Li Y., Zhang X., Chen H. Voltammetric immunoassay for Mycobacterium tuberculosis secretory protein MPT64 based on a synergistic amplification strategy using rolling circle amplification and a gold electrode modified with graphene oxide, Fe3O4 and Pt nanoparticles. Microchim Acta. 2018;185(9):436. doi: 10.1007/s00604-018-2972-6. [DOI] [PubMed] [Google Scholar]
  • 81.Corrêa R.A.M.S., Da Cruz F.S., Santos C.C., Pimenta T.C., Franco D.L., Ferreira L.F. Optimization and application of electrochemical transducer for detection of specific oligonucleotide sequence for Mycobacterium tuberculosis. Biosensors [Internet] 2018;8(3) doi: 10.3390/bios8030084. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Mat Zaid M.H., Che-Engku-Chik C.E., Yusof N.A., Abdullah J., Othman S.S., Issa R., et al. DNA electrochemical biosensor based on iron oxide/nanocellulose crystalline composite modified screen-printed carbon electrode for detection of Mycobacterium tuberculosis. Molecules [Internet] 2020;25(15) doi: 10.3390/molecules25153373. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Mohd Bakhori N., Yusof N.A., Abdullah J., Wasoh H., Ab Rahman S.K., Abd Rahman S.F. Surface enhanced CdSe/ZnS QD/SiNP electrochemical immunosensor for the detection of Mycobacterium tuberculosis by combination of CFP10-ESAT6 for better diagnostic specificity. Materials. 2019;13(1):149. doi: 10.3390/ma13010149. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Kim E.J., Kim E.B., Lee S.W., Cheon S.A., Kim H.-J., Lee J., et al. An easy and sensitive sandwich assay for detection of Mycobacterium tuberculosis Ag85B antigen using quantum dots and gold nanorods. Biosens Bioelectron. 2017;87:150–156. doi: 10.1016/j.bios.2016.08.034. [DOI] [PubMed] [Google Scholar]
  • 85.Omar R.A., Verma N., Arora P.K. Development of ESAT-6 based immunosensor for the detection of Mycobacterium tuberculosis. Front Immunol. 2021;12 doi: 10.3389/fimmu.2021.653853. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Yunus M.H., Yusof N.A., Raston N.H.A., Noor S.S.M., Sulaiman Y., Abdullah J. A novel amperometric aptamer-antibody sandwich assay for the detection of tuberculosis with diazonium electrografted enhanced modified electrode. IEEE Sens J. 2021;21(20):22442–22449. [Google Scholar]
  • 87.Eloi P., Nascimento G.A., Córdula C., Visani V., Castelletti H., Bezerra G., et al. Toward a point-of-care diagnostic for specific detection of Mycobacterium tuberculosis from sputum samples. Tuberculosis. 2020;121 doi: 10.1016/j.tube.2020.101919. [DOI] [PubMed] [Google Scholar]
  • 88.Perumal V., Saheed M.S.M., Mohamed N.M., Saheed M.S.M., Murthe S.S., Gopinath S.C.B., et al. Gold nanorod embedded novel 3D graphene nanocomposite for selective bio-capture in rapid detection of Mycobacterium tuberculosis. Biosens Bioelectron. 2018;116:116–122. doi: 10.1016/j.bios.2018.05.042. [DOI] [PubMed] [Google Scholar]
  • 89.Javed A., Abbas S.R., Hashmi M.U., Babar N.U.A., Hussain I. Graphene oxide based electrochemical genosensor for label free detection of Mycobacterium tuberculosis from raw clinical samples. Int J Nanomedicine. 2021;16:7339–7352. doi: 10.2147/IJN.S326480. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Mohd Bakhori N., Yusof N.A., Abdullah J., Wasoh H., Ab Rahman S.K., Abd Rahman S.F. Surface enhanced CdSe/ZnS QD/SiNP electrochemical immunosensor for the detection of Mycobacterium Tuberculosis by combination of CFP10-ESAT6 for better diagnostic specificity. Materials (Basel) 2019;13(1) doi: 10.3390/ma13010149. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Haddaoui M., Sola C., Raouafi N., Korri-Youssoufi H. E-DNA detection of rpoB gene resistance in Mycobacterium tuberculosis in real samples using Fe3O4/polypyrrole nanocomposite. Biosens Bioelectron. 2019;128:76–82. doi: 10.1016/j.bios.2018.11.045. [DOI] [PubMed] [Google Scholar]
  • 92.Zhang X., Feng Y., Duan S., Su L., Zhang J., He F. Mycobacterium tuberculosis strain H37Rv electrochemical sensor mediated by aptamer and AuNPs-DNA. ACS Sens. 2019;4(4):849–855. doi: 10.1021/acssensors.8b01230. [DOI] [PubMed] [Google Scholar]
  • 93.Zhang J., Huang J., He F. The construction of Mycobacterium tuberculosis 16S rDNA MSPQC sensor based on Exonuclease III-assisted cyclic signal amplification. Biosens Bioelectron. 2019;138 doi: 10.1016/j.bios.2019.111322. [DOI] [PubMed] [Google Scholar]
  • 94.Zhang J., He F. Mycobacterium tuberculosis piezoelectric sensor based on AuNPs-mediated enzyme assisted signal amplification. Talanta. 2022;236 doi: 10.1016/j.talanta.2021.122902. [DOI] [PubMed] [Google Scholar]
  • 95.Zhang J., Li Y., Duan S., He F. Highly electrically conductive two-dimensional Ti(3)C(2) Mxenes-based 16S rDNA electrochemical sensor for detecting Mycobacterium tuberculosis. Anal Chim Acta. 2020;1123:9–17. doi: 10.1016/j.aca.2020.05.013. [DOI] [PubMed] [Google Scholar]
  • 96.Salimiyan Rizi K., Meshkat Z., Chahkandi M., Gholami M., Sankian M., Ghazvini K., et al. A PCR-free genome detection of Mycobacterium tuberculosis complex in clinical samples using MWCNT/PPy/KHApNps modified electrochemical nano-biosensor. J Electrochem Soc. 2021;168(7) [Google Scholar]
  • 97.Rizi K.S., Hatamluyi B., Rezayi M., Meshkat Z., Sankian M., Ghazvini K., et al. Response surface methodology optimized electrochemical DNA biosensor based on HAPNPTs/PPY/MWCNTs nanocomposite for detecting Mycobacterium tuberculosis. Talanta. 2021;226 doi: 10.1016/j.talanta.2021.122099. [DOI] [PubMed] [Google Scholar]
  • 98.Li N., Huang X., Sun D., Yu W., Tan W., Luo Z., et al. Dual-aptamer-based voltammetric biosensor for the Mycobacterium tuberculosis antigen MPT64 by using a gold electrode modified with a peroxidase loaded composite consisting of gold nanoparticles and a Zr(IV)/terephthalate metal-organic framework. Mikrochim Acta. 2018;185(12):543. doi: 10.1007/s00604-018-3081-2. [DOI] [PubMed] [Google Scholar]
  • 99.Gupta S., Bhatter P., Kakkar V. Point-of-care detection of tuberculosis using magnetoresistive biosensing chip. Tuberculosis (Edinb) 2021;127 doi: 10.1016/j.tube.2021.102055. [DOI] [PubMed] [Google Scholar]
  • 100.Yuanfeng P., Ruiyi L., Qingqing X., Xiaofen C., Yongqiang Y., Zaijun L. Electrochemical detection of Mycobacterium tuberculosis IS6110 gene fragments based on the gold nanocrystals with uniform morphology and highly exposed high-index facets and target DNA-induced recycling amplification. Sens Actuators B. 2020;314 [Google Scholar]
  • 101.Mohd Azmi U.Z., Yusof N.A., Abdullah J., Alang Ahmad S.A., Mohd Faudzi F.N., Ahmad Raston N.H., et al. Portable electrochemical immunosensor for detection of Mycobacterium tuberculosis secreted protein CFP10-ESAT6 in clinical sputum samples. Microchim Acta. 2021;188:1–11. doi: 10.1007/s00604-020-04669-x. [DOI] [PubMed] [Google Scholar]
  • 102.Jaroenram W., Kampeera J., Arunrut N., Karuwan C., Sappat A., Khumwan P., et al. Graphene-based electrochemical genosensor incorporated loop-mediated isothermal amplification for rapid on-site detection of Mycobacterium tuberculosis. J Pharm Biomed Anal. 2020;186 doi: 10.1016/j.jpba.2020.113333. [DOI] [PubMed] [Google Scholar]
  • 103.Peláez E.C., Estevez M.C., Mongui A., Menéndez M.C., Toro C., Herrera-Sandoval O.L., et al. Detection and quantification of HspX antigen in sputum samples using plasmonic biosensing: toward a real point-of-care (POC) for tuberculosis diagnosis. ACS Infect Dis. 2020;6(5):1110–1120. doi: 10.1021/acsinfecdis.9b00502. [DOI] [PubMed] [Google Scholar]
  • 104.Briceno R.K., Sergent S.R., Benites S.M., Alocilja E.C. Nanoparticle-based biosensing assay for universally accessible low-cost TB detection with comparable sensitivity as culture. Diagnostics. 2019;9(4):222. doi: 10.3390/diagnostics9040222. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Yang Z., Ren Z., Cheng Y., Sun W., Xi Z., Jia W., et al. Review and prospect on portable mass spectrometer for recent applications. Vacuum. 2022;199 [Google Scholar]
  • 106.Rinaldi F., Lupu L., Rusche H., Kukačka Z., Tengattini S., Bernardini R., et al. Epitope and affinity determination of recombinant Mycobacterium tuberculosis Ag85B antigen towards anti-Ag85 antibodies using proteolytic affinity-mass spectrometry and biosensor analysis. Anal Bioanal Chem. 2019;411(2):439–448. doi: 10.1007/s00216-018-1466-z. [DOI] [PubMed] [Google Scholar]
  • 107.Liu Q., Lim B.K.L., Lim S.Y., Tang W.Y., Gu Z., Chung J., et al. Label-free, real-time and multiplex detection of Mycobacterium tuberculosis based on silicon photonic microring sensors and asymmetric isothermal amplification technique (SPMS-AIA) Sens Actuators B. 2018;255:1595–1603. [Google Scholar]

Further reading

  • 52.da Costa L.L., Delcroix M., Dalla Costa E.R., Prestes I.V., Milano M., Francis S.S., et al. A real-time PCR signature to discriminate between tuberculosis and other pulmonary diseases. Tuberculosis. 2015;95(4):421–425. doi: 10.1016/j.tube.2015.04.008. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Journal of Clinical Tuberculosis and Other Mycobacterial Diseases are provided here courtesy of Elsevier

RESOURCES