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Recent advances in nanomaterials for the detection of mycobacterium tuberculosis (Review)

  • Authors:
    • Jianmeng Zhu
    • Hongqin Wang
    • Lili Chen
  • View Affiliations

  • Published online on: December 24, 2024     https://doi.org/10.3892/ijmm.2024.5477
  • Article Number: 36
  • Copyright: © Zhu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

The world's leading infectious disease killer tuberculosis (TB) has >10 million new cases and ~1.5 million mortalities yearly. Effective TB control and management depends on accurate and timely diagnosis to improve treatment, curb transmission and reduce the burden on the medical system. Current clinical diagnostic methods for tuberculosis face the shortcomings of limited accuracy and sensitivity, time consumption and high cost of equipment and reagents. Nanomaterials have markedly enhanced the sensitivity, specificity and speed of TB detection in recent years, owing to their distinctive physical and chemical features. They offer several biomolecular binding sites, enabling the simultaneous identification of multiple TB biomarkers. Biosensors utilizing nanomaterials are often compact, user‑friendly and well‑suited for detecting TB on location and in settings with limited resources. The present review aimed to review the advances that have occurred during the last five years in the application of nanomaterials for TB diagnostics, focusing on their detection capabilities, structures, working principles and the significance of key nanomaterials. The current review addressed the limitations and challenges of nanomaterials‑based TB diagnostics, along with potential solutions.

Introduction

Mycobacterium tuberculosis (MTB) infection causes tuberculosis (TB), which affects 25% of the world's population. In 2022, the World Health Organization reported 10.6 million new TB infections, 133 per 100,000 persons and 1.3 million mortalities (1). TB is the second most deadly infectious disease worldwide, surpassed only by COVID-19, with its mortality rate nearly double that of HIV/AIDS (2). Early and accurate TB diagnosis is crucial for its control and management (3). Early discovery improves therapy, limiting illness progression and serious consequences (4). Accurate identification of TB cases can reduce the spread of MTB, especially in densely populated and resource-limited areas, thereby reducing pressure on the healthcare system (5).

Immunological, radiographic and bacteriological methods are used to diagnose TB (6). The tuberculin skin test and INF-γ release assay are simple immunological assays that detect TB within 72 h. However, the window time of the disease, the immune system and experimental methods can cause false positives and negatives (7). Chest X-rays and computerized tomography scans can detect lung abnormalities and track illness progression, but they are less sensitive and specific and cannot distinguish TB from other lung infectious disorders (8,9). Antacid smear microscopy and sputum culture are the main bacterial tests; however, smear microscopy has just 30% sensitivity and mycobacterial culture, the gold standard, takes 2 weeks to provide positive results, during which MTB will spread in the population (10,11). Automated Nucleic Acid Amplification (PCR) Assay System (GeneXpert) can detect MTB and rifampicin resistance in 2 h (12); however, due to the expensive cost of instruments and reagents and the strict environmental requirements of the assay, GeneXpert is challenging to apply in distant and impoverished locations and its sensitivity is still limited for sputum specimens with low bacterial loads (13). Thus, rapid, cost-effective, precise and sensitive TB diagnostic methods are needed.

Nanomaterials have advanced TB diagnostics in recent years (14). Their high surface area-to-volume ratio provides more reaction sites, greatly enhancing detection sensitivity and enabling accurate TB detection even at low bacterial loads (15). Nanomaterial-based detection technologies frequently yield fast outcomes (16). For example, colorimetric reactions or electrochemical biosensors based on gold (Au) and silver (Ag) nanoparticles (NPs) markedly reduce the time required for conventional detection methods (17,18). Nanomaterials can bind to multiple molecules, allowing simultaneous detection of various TB biomarkers (19). Such multifunctional platforms provide comprehensive diagnostic information, enhancing accuracy and practicality (20). For example, AuNPs allow for the attachment of multiple antibodies or oligonucleotides, which can specifically bind to different TB biomarkers (21). Similarly, quantum dots (QDs) can be conjugated with multiple oligonucleotide probes that are complementary to different segments of the TB genetic material (22). This allows for the simultaneous detection of multiple TB genetic markers. The ability to detect multiple biomarkers simultaneously is particularly beneficial in the early stages of TB infection, where the bacterial load may be low and in differentiating TB from other respiratory diseases that have similar symptoms (23). It also aids in the rapid identification of drug-resistant TB strains, which is vital for initiating appropriate treatment strategies (24,25).

Due to the efficiency and simplicity of nanotechnology, diagnostic devices based on nanomaterials are typically compact and easy to operate, making them suitable for on-site testing and resource-limited settings (26). Fig. 1 presents the nanomaterials and corresponding biosensors for TB diagnosis. The current article reviewed the latest research advances in TB diagnostics using nanomaterials, including their mechanisms and functions and analyzes the structure and performance of various novel nano biosensors. The limitations and challenges of nanomaterials in TB diagnosis are also discussed, along with strategies to overcome them. The present review aims to provide researchers with insights for developing safe, rapid and effective TB diagnostic methods.

Metal nanomaterials-based diagnostics for TB

Metal nanoparticles improve TB diagnosis by overcoming some traditional drawbacks. Table I presents recent advances in metal nanomaterials-based diagnostics for TB. Due to their optical, electronic and magnetic characteristics, they can be modified with various ligands and detect TB biomarkers at low concentrations (13,27). Moreover, they can be designed to be portable and user-friendly for convenient use at the medical treatment site. This allows for the adoption of decentralized testing in areas with limited resources, making diagnostic assays potentially more affordable (28).

Table I

Recent advances in metal nanomaterials-based diagnostics for tuberculosis.

Table I

Recent advances in metal nanomaterials-based diagnostics for tuberculosis.

First author/s, yearNanomaterialsDetection assaysTargetLODDetection Time/Sample type(Refs.)
Seele et al, 2023AuNPsLateral flow ImmunoassaysCFP-10/ESAT-67.69/0.063 ng/ml15 min/Spiked sample(29)
Kamra et al, 2023MB-AuNPImmuno-PCR assayMPT-641 fg/mlNA/Clinical sample(30)
Dahiya et al, 2023MB-AuNPImmuno-PCR assayMPT-64/CFP-109.9 ng/mlNA/Clinical sample(31)
Tripathi et al, 2023AuNPsColorimetric detectionMTB DNA0.125 ng/ml3 min/Amplified sample(32)
Huang et al, 2023 MXene/C60NPs/Au@PtElectrochemical sensorESAT-62.88 fg/mlNA/Clinical sample(33)
Patnaik et al, 2024AgNPsAgNP aggregationMTB DNA4 bacilli20-25 min/Amplified sample(34)
Pei et al, 2022AuNPsDark-field imagingMTB DNA10 fM1 h/Spiked sample(35)
León-Janampa et al, 2022MNP@Si@absELISAMTB antigens0.15 ng/μl (38 kDa, MoeX, Ag85B)
0.31 ng/μl (MPT64, MTC28)
1.25 ng/μl (CFP10, ESAT6)
4 h/Clinical sample(36)
Zhang et al, 2022AuNPsPiezoelectric sensor16 S rDNA30 CFU/ml3 h/Amplified sample(37)
Xie et al, 2021 NG@Zr-MOF-on-Ce-MOF@TbElectrochemical aptasensorESAT-612 fg/mlNA/Clinical sample(38)
Prabowo et al, 2021AuNP-ssDNASPR sensorMTB DNA24.5 fMNA/NA(39)
Tai et al, 2021LSG-NF-AgNPElectrochemical sensorMTB DNA10−15 MNA/Amplified sample(40)
Azmi et al, 2021 Fe3O4/AuSandwich-type immunosensorCFP10-ESAT61.5 ng/ml2 h/clinical sample(41)
Gupta et al, 2021MNPsGiant magnetoresistanceESAT-61 pg/mlNA/Clinical sample(42)
León-Janampa et al, 2020 MNP@Si@NH2sELISAHsp16.30.9 pmolNA/purified sample(43)

[i] CFP-10, CFP10, culture filtrate antigen, 10 kDa; ESAT-6, early secreted antigenic target-6; MPT64, MTB 64 protein; LOD, limit of detection; NA, not available; MB-AuNP, magnetic bead-coupled gold nanoparticle; MOF, metal-organic framework; NG, nitrogen-doped graphene; Tb, electroactive toluidine blue; SPR, surface plasmon resonance; LSG-NF, graphene nanofiber laser biosensor; MNPs, magnetic nanoparticles; ab, polyclonal antibodies; sELISA, sandwich enzyme-linked immunosorbent assay.

AuNPs-based TB detection

AuNPs can attach multiple diagnostic probe molecules due to their high surface-to-volume ratio (44). They can be used for long-term diagnostics since they are chemically stable and air- and water-resistant (18). The first reported application of AuNPs in TB diagnosis was a colorimetric assay developed by Gupta et al (45). In that study, oligonucleotides of the Mycobacterium tuberculosis RNA polymerase subunit gene sequence were first extracted and then combined with AuNPs and, at a wavelength of 526 nm, the gold nanoprobe solution stayed pink in the presence of the complementary DNA. By contrast, the solution turned purple without the complementary DNA. The assay takes only 15 min per test, with minimal contamination, as it is performed in a separate tube and allows visualization of the results. Follow-up studies showed that this approach detected TB more precisely and sensitively when compared with the automated liquid culture system and semi-nested PCR (46,47).

AuNP aggregation via salt, such as NaCl and MgSO4, is the most widely used AuNP-based colorimetric method for TB DNA detection. The amount of TB DNA to be detected is inversely proportional to the salt concentration required to cause AuNPs to aggregate (16,27). However, this may lead to false negative signals when the TB DNA content is low, as the salt concentration required to detect AuNP aggregation is very high. Thus, Tripathi et al (32) relied on ethanol-induced AuNP aggregation to detect TB DNA. Ethanol affected the hydrophobic and electrostatic interactions of AuNPs with DNA, generating dipole-dipole interactions that led to AuNP aggregation. As shown in Fig. 2, a 4 μl 100% ethanol addition to the AuNPs-TB DNA complex could cause aggregation. Without TB DNA, AuNP suspensions did not aggregate despite the introduction of 8 μl of 100% ethanol. This method sensitively detects MTB DNA at ~340 fM levels, amplified with a 0.125 ng ml−1 template and produces results in <3 min. Contrary to salt-based AuNP aggregation methods, the researchers claimed their method is sensitive and reliable for early TB identification. This simple, easy-to-use approach does not require AuNP or oligonucleotide modification or expensive equipment, making it favorable in resource-poor settings.

The local electric field enhancement effect induced by surface plasmon resonance (SPR) can enhance the optical activity near the surface of metal nanoparticles, such as surface-enhanced Raman scattering and fluorescence enhancement. The plasma-enhanced effect of AuNPs has several applications in fields such as biomarkers, sensors, photocatalysis and optoelectronics (48,49). Plasma coupling is related to the size, shape, structure and spatial arrangement of NPs (50). Research in this area can help to optimize biosensor structures. Prabowo et al (39) studied the effect of AuNP shapes on plasmonic enhancement for DNA detection. They bound TB's designed single-stranded probe DNA (ssDNA) with gold nano-urchins and nanorods. Then, both mixtures were adsorbent onto a graphene-coated SPR sensor due to the π-π interactions. During the construction of the SPR sensor, annealing the Au layer increased the sensor's graphene coverage and DNA probe load. In experimental plasmonic activity comparison, gold nano-urchins showed the best amplification, detecting DNA hybridization at fM levels. They conclude that gold nano-urchin-assisted DNA detection offers the possibility of early screening for TB using portable sensors.

Due to their affordable cost, simple structure and easy operation, piezoelectric sensors are becoming a TB detection research hotspot (51). A piezoelectric sensor generates electricity from pressure, acceleration and force. Quartz, Rochelle salt and some ceramics generate an electrical charge when subject to mechanical stress, a phenomenon known as the piezoelectric effect (52). Exploiting the special physical and chemical properties of Au at the nanoscale, AuNPs can markedly enhance the performance of piezoelectric sensors for detecting MTB (53). Zhang et al (37) developed a novel piezoelectric sensor based on AuNPs-mediated enzyme-assisted signal amplification for TB diagnosis (Fig. 3A). The biomarker was the 16S rDNA variable region of TB. AuNPs were coupled to the hybridized detecting probe and grown in HAuCl4 and NADH solutions to transmit electricity between electrode gaps (Fig. 3B). The piezoelectric system detects TB rapidly and sensitively thanks to AuNPs-mediated signal amplification. The process is simple, fast and suited for developing compact portable equipment.

AgNPs-based TB detection

AgNPs, like AuNPs, are chemically stable, electrically conductive and can possess catalytic activity. Their electron transfer efficiency is superior to that of AuNPs, which have more prominent extinction bands (18). Recent advances have seen the use of charge-neutral peptide nucleic acids (PNAs) as hybridization agents in AgNP-based colorimetric DNA assays, enhancing the process by causing nanoparticles to cluster more rapidly in solution without immobilization, thus boosting DNA hybridization effectiveness. Teengam et al (54) developed a colorimetric DNA detection sensor based on PNA-induced AgNP aggregation (Fig. 4A). They designed a detection probe from PNA with a positively charged lysine modification at its C-terminus (acpcPNA), leading to the aggregation of negatively charged AgNPs and a subsequent swift shift in color. This sensor effectively detected TB oligonucleotides, demonstrating a low detection limit of 1.27 nM, showcasing fast, selective and sensitive DNA detection capability.

Figure 4

Procedure for acpcPNA-induced AgNP aggregation. (A) AgNPs were initially well dispersed by the negatively charged electrostatic repulsion. Positively charged acpcPNA shielded them from electrostatic repulsion, causing silver particles to aggregate and a color reaction to occur. When complementary DNA was present, the specific PNA-DNA interaction replaced the PNA-AgNPs interaction, forming negatively charged PNA-DNA double strands that depolymerized the nanoparticles. In the case of non-complementary DNA, the nanoparticles did not depolymerize and no color change occurred. Reproduced from (54), Copyright (2017), with permission through Creative Commons public use license from Teengam P et al, American Chemical Society. (B) Schematic of CFP10-ESAT6 detection using the portable electrochemical reader. Sputum sample analysis was performed locally with the modified SPGE (circled in red) and a portable reader. Following GP/PANI modification of SPGE, the CapAb was immobilized on its surface to capture the target antigen and the Ab-loaded Fe3O4/Au particle bound to the target and amplified the detection signal. Reproduced from (41), Copyright (2021), with permission from Springer Nature. acpcPNA, PNA with a positively charged lysine modification at its C-terminus; AuNPs, gold nanoparticles; PNA, peptide nucleic acid; CFP10, culture filtrate antigen, 10 kDa; ESAT-6, early secreted antigenic target-6; SPGE, screen-printed gold electrode; GP/PANI, graphene/polyaniline; CapAb, capture antibody; MTB, Mycobacterium tuberculosis.

Conventional methods for producing AgNPs typically involve the use of reducing agents such as sodium citrate, NaBH4 and hydrazine. While effective in controlling nanoparticle size, these agents pose significant environmental risks (55,56), prompting the pursuit of greener alternatives. Tai et al (40) devised a method to synthesize AgNPs using oil palm lignin, which is rich in phenolic hydroxyl groups and offers an environmentally friendly and cost-efficient solution for AgNP production. These lignin-coated AgNPs were subsequently bonded to laser-etched graphene nanofibers, enabling the direct linkage of single-stranded DNA to form a TB bioelectrode. To assess the performance of the sensor, they analyzed the ability of DNA samples attached to AgNPs to bind to the target DNA by selective hybridization and mismatch assessment. Electrochemical impedance spectroscopy further substantiated the ability of the sensor to detect concentrations as low as 1 fM, achieving a detection limit of 10−15M based on a signal-to-noise ratio (S/N=3:1) with a signal-to-noise ratio of 3:1. The researchers highlighted that this TB detection method is sensitive and ecologically friendly.

Magnetic nanoparticles (MNPs)-based TB detection

MNPs are generally composed of iron, nickel, cobalt and oxides. MNPs feature a high surface-to-volume ratio, excellent dispersibility and strong interactions with biological molecules (57). Gupta et al (42) developed a giant magnetoresistance (GMR) biosensor to detect TB-specific early secreted antigenic target-6 (ESAT-6) protein. This GMR biosensing assay labels monoclonal antibodies against ESAT-6 antigen with MNPs. In the presence of ESAT-6, MNPs bind to the GMR sensor proportionally to protein concentration, altering its electrical resistance. Simulations of the GMR biosensor have shown that it can detect ESAT-6 at pg/ml levels. Cheon et al (58) developed a colorimetric biosensing system to detect MTB 64 protein (MPT64) using nucleic acid aptamer-modified MNPs. The aptamer on the surface of the MNP initially inhibits its catalase activity. Upon binding with MPT64 in the sample, the aptamer releases, thereby restoring the enzyme activity of the MNP. TB can subsequently be detected within 70 min by measuring the enzyme-substrate fluorescence spectra.

Mohd et al (41) developed a portable sandwich-based electrochemical immunoassay device for clinical sputum TB detection (Fig. 4B). They used Fe3O4/Au MNPs to capture anti-culture filtrate antigen [CFP10 (10 kDa)-early secreted antigenic target-6 (ESAT6; 6kDa)] antibody, which is more stable than enzyme-conjugated antibodies. Magnetic Fe3O4 particles enhance the chemical stability and biocompatibility of Au. Results revealed an excellent correlation in sensitivity (100%) and specificity (91.7%) compared with the gold standard culture method. León-Janampa et al (36) presented a colorimetric sandwich assay incorporating amino-silanized MNPs functionalized with anti-MTB polyclonal antibodies to detect TB in sputum. The biofunctionalized MNPs enhance antigen capture from biological materials, enabling multiple TB antigen detection and decreasing test time compared with traditional ELISA. This method can also evaluate TB markers in early TB cultures, urine and serum.

QDs-based TB diagnostics

QDs are nanoscale semiconductor particles with size-tunable fluorescence, meaning smaller dots emit blue light while larger ones emit red light (19). As fluorescent probes, QDs can mark MTB nucleic acid and are more photostable and less prone to photobleaching than organic dyes (59). The surface of QDs can be modified with various functional groups or nanomaterials to improve their solubility, stability and biocompatibility (60). Table II presents recent advances in quantum dots (QDs) based diagnostics for TB.

Table II

Recent advances in quantum dots based diagnostics for tuberculosis.

Table II

Recent advances in quantum dots based diagnostics for tuberculosis.

First author/s, yearNanomaterialsDetection assaysTargetLODDetection time(Refs.)
Hu et al, 2023 CdTe:Zn2+ QD-NBColorimetric assaysMTB DNA2 copies/μl55 min(61)
He et al, 2022CdTe QD/CoTCPPFluorescence quenchingMethyl nicotinate0.59 μM4 min(62)
Hu et al, 2022Double CdTe QDs/nanoCoTPyPFluorescence quenching rpoB531/katG31524/20 pM95 min(63)
Kabwe et al, 2022MA-CdSe/ZnS QDsVisual paper-based lateral flowAnti-MA antibodiesNANA(64)
Shi et al, 2024CdTe QD/carbon dotsFluorescence quantification strategyIFN-γ/IP-100.3/0.5 ag/ml8 h(65)
Kabwe et al, 2022MA-GQDsLateral flow testsAnti-MA antibodiesNANA(66)
Liang et al, 2021CdTe QDs/Cu-TCPPFRETIS611035 pM50 min(67)

[i] LOD, limit of detection; MTB, Mycobacterium tuberculosis; QD-NB, quantum dot-based nanobeacon; NA, not available; CoTCPP, cobalt-metalized tetrakis(4-carboxyphenyl) porphyrin; nanoCoTPyP, nanocobalt 5,10,15,20-tetra(4-pyridyl)-21H,23H porphine; Mas, mycolic acids; GQDs, graphene quantum dots; FRET, fluorescence resonance energy transfer; TCPP, Tetrakis(4-carboxyphenyl)porphyrin; IP-10, IFN-γ-induced protein 10.

Bakhori et al (68) reported an electrochemical platform based on CdSe/ZnS QDs and silica nanoparticles (SiNPs) to detect TB-specific biomarkers (CFP10–ESAT6). They demonstrated that the active surface area of the CdSe/ZnS QD/SiNPs modified electrode was 4.14-fold higher than a bare electrode. Results indicated a linear calibration curve in the 40-100 ng/ml target concentration range, with a detection limit of 1.2×10−9 g/ml for CdSe/ZnS QD/SiNPs modified electrode and 1.5×10−10 g/ml for SiNPs modified electrode. These results indicated that the CdSe/ZnS QD-modified electrode has superior electrochemical behavior, which improves electron transfer between the electrode and the target.

In fluorescence resonance energy transfer (FRET)-based systems, QDs can provide energy and bind acceptors. When these probes attach to target nucleic acids such as MTB RNA or DNA, structural alterations influence energy transfer efficiency, resulting in quenching or fluorescence changes, allowing quantitative analysis (69,70). This QD quenching technology-based biosensor serves as a fast, sensitive and easy-to-use diagnostic tool (71). Liang et al (67) used carboxyl-modified CdTe QDs to label single-stranded DNA (QDs-DNA) as a fluorescence donor. In their approach, Cu-TCPP (a two-dimensional metal-organic framework) nanosheets were used as the fluorescence acceptor for QDs-DNA. QDs-DNA attached to Cu-TCPP, resulting in fluorescence quenching in the absence of targets. However, when the target nucleic acids were present, QDs-DNA formed with them a dsDNA complex, preserving strong fluorescence (Fig. 5A). The sensor exhibited a linear response from 0.05 to 1.0 nM and a 35 pM detection limit. This QD-based fluorescent technology for clinical sputum analysis achieved high sensitivity and specificity.

Hu et al (61) proposed a QD-nanobeacon (NB)-based colorimetric platform for TB diagnosis, where the QD-NB acted as a cleavable substrate and a signal indicator. As shown in Fig. 5B, they conducted recombinase polymerase amplification in the presence of the target DNA and chemically denatured the amplicon for DNA, followed by a multicomponent nuclease (MNAzyme) reaction. The MNAzyme identified the target DNA and hybridized with the QD-NB. Upon adding Mg2+, the QD-NB was cleaved into two DNA fragments, triggering the release of green fluorescence due to the FRET effect of QDs. This QD-NB-based MNAzyme colorimetric assay achieved a detection limit of 2 copies/μl, cost ~$4 in reagents and took only 55 min to complete.

The primary inner filter effect (IFE) is the absorption of excitation light by various chromophores in solution or matrix, while the secondary inner filter effect refers to the absorption of emission radiation (72). He et al (62) found that cobalt-metalized tetrakis (4-carboxyphenyl) porphyrin (CoTCPP) could modulate the fluorescence emission and quenching of QDs through the inner filter effect. Thus, they developed a fluorescent probe based on CdTe QDs and CoTCPP nanosheets to analyze methyl nicotinate in vapor samples of MTB (Fig. 6). CoTCPP and QDs cannot become close enough to access FRET due to electrostatic repulsion. By contrast, the IFE affects QD fluorescence quenching. They used red-emitting QDs as fluorescent signal switches whose fluorescent are quenched by CoTCPP but restored by methyl nicotine. The platform effectively detects methyl nicotinate with a relative standard deviation <3.33%, the detection time was only 4 min and it was linear in the range of 1-100 μM with a detection limit of 0.59 μM.

With single excitation and multiple emission, QDs could identify numerous MTB markers simultaneously. This multiplexing capacity simplifies the instrumentation and experimental setup and comprehensively explains the infection's presence and severity (73,74). Zhou et al (20) developed an immunosensor to measure latent tuberculosis infection biomarkers (IFN-γ, TNF-α and IL-2) by embedding carbon and CdS QDs on AuNPs and magnetic beads. Then three antibody1-labeled markers were immobilized at three electrode positions to capture the corresponding antigens and simultaneously detected with antibody2 and QD functionalized nanoprobes. Hu et al (63) developed a novel fluorescence biosensor that uses nanocobalt 5,10,15,20-tetra (4-pyridyl)-21H,23H porphine (nanoCoTPyP) and dual QDs to simultaneously detect two drug-resistant genes of MTB, specifically rpoB531 and katG315 (Fig. 7). The green and red QDs were linked to the single strand (ss)DNA probes ssDNA1 and ssDNA2 and combined to form QD-ssDNA probes. These probes interact with nanoCoTPyP through electrostatic forces, π-π stacking and hydrogen bonding, resulting in fluorescence quenching through FRET and photoinduced electron transfer. This biosensor enables the concurrent quantification of the two genes in one test using the distinct emission wavelengths of the dual QDs. Notably, this approach allows for the simultaneous identification of two mutations in the PCR products of multi-drug resistant tuberculosis within a 95-min timeframe.

Carbon-based nanomaterials for TB diagnosis

Carbon-based nanomaterials, such as fullerene, carbon nanotubes, nanodiamonds and graphene, show great potential for TB diagnosis (75,76). These materials can be engineered to detect specific TB biomarkers, even at very low concentrations (77). Recent advances in the use of carbon-based nanomaterials for TB diagnostics are summarized in Table III. Additionally, carbon nanomaterial-based point-of-care testing devices can be portable and easily used, which is beneficial in low-resource TB-endemic areas. making them particularly advantageous in low-resource, TB-endemic regions.

Table III

Recent advances in carbon-based nanomaterials diagnostics for tuberculosis.

Table III

Recent advances in carbon-based nanomaterials diagnostics for tuberculosis.

First author/s, yearNanomaterialsDetection assaysTargetLODDetection Time(Refs.)
Pornprom et al, 2024AuNPs/GCOOHPaper-based electrochemical biosensorHsp16.30.01 ng/ml20 min(78)
Wang et al, 2024SWCNTFETMTB-Ag85B0.05 fg/ml10 min(79)
Le et al, 2024FNDsSELFIAESAT60.02 ng/mlNA(80)
Bisht et al, 2023RGO/PNE/AuElectrochemical sensorMTB DNA10−8 μM5 sec(81)
Seo et al, 2023GrapheneGFETMPT641 fg/mlNA(82)
Mogha et al, 2018rGO-PDA-Au NPElectrochemical genosensorMTB DNA10−15 M5 sec(83)
Li et al, 2022 AQCA/CMK-3-Ce-MOFsElectrochemical aptasensorMPT6467.6 fg/mlNA(84)
Rizi et al, 2021 HAPNPTs//MWCNTsElectrochemical DNA biosensorGenome of MTB H37Rv0.141 nMNA(85)
Javed et al, 2021GO-CHIElectrochemical genosensorIS61103.4 pMNA(86)
Omar et al, 2021Ni-rGO-PANICV-based immunosensorESAT-61.0 ng/ml15 min(87)
Jaroenram et al, 2020GrapheneElectrochemical genosensorIS61101 pg DNA65 min(88)
Kahng et al, 2020SWCNTImmuno-resistive sensorMTB/MPT6410 CFU/ml/100 ng/ml30 min(89)

[i] LOD, limit of detection; GCOOH, carboxyl graphene; Hsp, heat shock protein; SWCNTs, single-walled carbon nanotubes; FET, field-effect transistor; MTB, Mycobacterium tuberculosis; Ag85B, antigen 85B, FNDs, fluorescent nanodiamonds; SELFIA, spin-enhanced lateral flow immunoassay; ESAT-6, early secreted antigenic target-6; NA, not available; PNE, polynorepinephrine; rGO, reduced graphene oxide; GFETs, graphene-based field-effect transistors; MPT64, MTB 64 protein; PDA, polydopamine; NPs, nanoparticles; MPT64, MTB 64 protein; AQCA, anthraquinone-2-carboxylic acid; CMK-3,carbon framework; MWCNTs, multi-wall carbon nanotubes; GO-CHI, graphene oxide-chitosan.

Graphene-based TB detection

Graphene is often employed in sensors designed as reduced graphene oxide (rGO), a cost-effective form produced via chemical and hydrothermal reduction of graphene oxide (83). rGO is favored in biosensor design for its high current density, exceptional electrocatalytic properties, extensive surface area, excellent thermal conductivity and numerous electroactive sites (90,91). However, due to van der Waals forces and its inherent laminar structure, rGO tends to aggregate, leading to a decrease in surface area and thus reducing its sensing ability (92,93). The commonly used reducing agents for rGO, such as hydrazine and NaBH4, are highly toxic and hazardous (94). Chaturvedi et al (95) addressed this issue by reducing GO to rGO and coating it with a biocompatible, nanometer-thick polydopamine (PDA) layer. PDA is rich in functional groups such as amines, imines and catechols, facilitating dense covalent attachment of biomolecules and providing binding sites for metal nanoparticles. Consequently, they engineered a nanocomposite of rGO, PDA and AuNPs and applied it to carbon electrodes to enhance the electroactive surface area and electron transport. Electrochemical analysis using cyclic voltammetry and linear sweep voltammetry revealed a sensitivity of 2.12×10−3 mA μM−1 and a response time of 5 sec for target DNA detection at 0.1×10−7 mM.

PDA thin coatings improve the antifouling properties and cytocompatibility of carbon nanomaterials (96). The adhesive properties of PDA facilitate the attachment of biomolecules to biosensor transducers through physical interactions (97). Polynorepinephrine (PNE), a compound closely related to PDA, possesses additional -OH groups and superior coating uniformity; however, it has rarely been investigated in TB biosensors. (98,99). Bisht et al (81) researched PNE as a coating for rGO and AuNPs in the development of an electrochemical nanobiosensor targeting MTB (Fig. 8). The active rGO, coupled with the reactive quinone groups and AuNPs, synergistically forms a high-performance biosensing platform that facilitates substantial biomolecule loading and delivers an exceptional electrochemical response. The study demonstrated that the PNE-modified system (rGO/PNE/Au) outperforms the PDA-modified counterpart (rGO/PDA/Au) for the development of electrochemical biosensors. The PNE-modified system achieves a markedly higher electrochemical response and offers a surface richer in functional groups, enhancing the loading capacity for biomolecules such as probe DNA. The biosensor demonstrated high sensitivity (2.3×10−3 mA μM−1), a low detection limit (0.1×10−7 μM) and a quick response time of 5 sec.

Paper-based analytical devices (PADs) require minimal training and are highly portable, which is crucial for field testing and point-of-care TB diagnostics (100). Graphene nanomaterials have a large surface area, which provides more active sites for biomolecule adsorption, enhancing the electrochemical properties of sensors (101). They boost the sensitivity and specificity of PADs, allowing for the detection of TB biomarkers at low concentrations. Pornprom et al (78) introduced a PAD biosensor using AuNP-decorated carboxyl graphene (GCOOH) to detect heat shock protein (Hsp16.3), a key TB infection biomarker. The AuNPs enhance the electrochemical properties of the sensor, while the GCOOH, with its numerous binding sites, facilitates direct antibody immobilization through carboxyl groups and primary amines. The PAD sensor specifically recognizes Hsp16.3, requiring only 5 μl sample volume, performed effectively with a detection limit of 0.01 ng/ml and quickly detected TB-infected clinical samples within 20 min.

Unlike other electrochemical sensors, field-effect transistor (FET) biosensors involve semiconductor manufacturing (102). This enables the large-scale production of these sensors, making them ideal for widespread use in assessing infection status, which is the purpose of point-of-care testing (103). Graphene-based field-effect transistors (GFETs) have a low on/off ratio compared with other semiconductor materials because they lack a bandgap. However, the low noise characteristic of GFETs can compensate for this limitation, enhancing their overall performance (104,105). Seo et al (82) designed a GFET biosensor for MTB MPT64 protein detection to construct an effective point-of-care TB testing platform. To efficiently conjugate antibodies, the graphene channels of the GFET were functionalized by immobilizing 1,5-diaminonaphthalene (1,5-DAN) and glutaraldehyde linker molecules. Atomic force microscopy was used to investigate the surface roughness of graphene after functionalization with MPT64 Ab and 1,5-DAN. As shown in Fig. 9, Raman spectroscopy and X-ray photoelectron spectroscopy validated the successful and uniform immobilization of linker molecules on the graphene surface and the subsequent antibody conjugation. The MPT64 antibody-functionalized GFET achieved a detection limit of 1 fg/ml in real-time and demonstrated greater sensitivity and faster detection compared with ELISA.

Single-walled carbon nanotubes-based TB detection

Single-walled carbon nanotubes (SWCNTs), another popular carbon nanomaterial, are similar in size to biomolecules and have an average diameter of 1 nm (106). They possess low charge-carrier density and high intrinsic carrier mobility, making them ideal for detecting electrostatic interactions and charge transfer during biological processes (107). Since 1998, SWCNTs have been used to fabricate FETs, demonstrating exceptional performance in biosensing due to their distinctive physical characteristics (108). SWCNTs have advantages over graphene, silicon nitride and silicon nanowires as FET functional nanomaterials. Their tiny diameter helps reduce gate leakage and exhibit high conductivity, biocompatibility, charge mobility and stability (109,110). Researchers have constructed SWCNT-based FET biosensors to detect SARS antigens (111), cancer exosomal miRNA (112) and Alzheimer's disease biomarkers (113). The limit of detection of these biosensors is equivalent to advanced techniques such as nucleic acid amplification tests and ELISA.

Wang et al (79) developed a SWCNT-based FET device that was functionalized with an anti-MTB antigen 85B antibody (Ab85B) to detect the MTB-secreted antigen 85B (Ag85B). 1-ethyl-3-(3-dimethylaminopropyl)carbodiimide (EDC)/Sulfo-N-hydroxysuccinimide (NHS) coupling linked Ab85B to commercial SWCNT sidewalls via carboxyl groups (Fig. 10A). The Ab85B-SWCNT FET device successfully detected Ag85B in phosphate-buffered saline with a detection limit of 0.05 fg/ml. Furthermore, it effectively identified Ag85B spiked in artificial sputum. Additionally, bovine serum albumin-blocked Ab85B SWCNT FET devices could detect Ag85B in serum, distinguishing TB-positive clinical samples from negative ones within 10 min using a portable Metrohm potentiostat. These results demonstrate the potential practicality of the biosensor for TB diagnosis (79).

Fluorescent nanodiamonds (FNDs)-based TB detection

FNDs are carbon nanoparticles with nitrogen vacancy defects (114). The ground-state electron spins at the center of these nitrogen vacancies can be optically polarized, resulting in spin-state mixing induced by a time-varying magnetic field (115). Diagnostics of ultrasensitive sub-half-molar disease markers are possible with microwave-modulated spin resonance (116). Le et al (80) developed a spin-enhanced lateral flow immunoassay for TB diagnostics by conjugating FNDs with ESAT6 antibodies (Fig. 10B). This immunosensor demonstrated 100-fold higher sensitivity than traditional AuNPs-based lateral flow immunoassays. The FNDs used in this study were ~100 nm and contained ~10 ppm nitrogen-vacancy centers. By employing a lateral flow membrane strip with a pre-structured 1-mm narrow channel, the detection limit for ESAT6 antigen was ~0.02 ng/ml. This FND-based magneto-optical sensor identified MTB complexes in clinical samples and distinguished TB from NTM. Moreover, the immunosensor is a simple portable device that can be used in point of care and clinics.

Comparison of nanomaterials for TB diagnostics

It is essential to compare the manipulation, production, stability and adaptation of these materials when selecting them for TB biosensing applications.

Ease of manipulation

AuNPs and AgNPs are user-friendly due to simple conjugation processes (117). By contrast, QDs need complex surface modifications, while MNPs and carbon nanomaterials require sophisticated handling for optimal performance (118,119).

Synthesis

AuNPs and AgNPs are straightforward to synthesize via chemical reduction (120). QD synthesis is more complex, focusing on size and shape control for optical properties (121). MNP synthesis varies by composition and size and graphene involves scalable but costly methods such as chemical vapor deposition (122).

Stability

AuNPs are stable for long-term use, while AgNPs are more susceptible to oxidation (123). QDs are photostable and MNPs remain stable in different conditions. Graphene and SWCNTs are stable but prone to aggregation, needing functionalization for improved dispersion (124).

Adaptability

AuNPs and AgNPs easily integrate into biosensors. QDs, despite toxicity concerns, offer tunable fluorescence in biosensing. MNPs are ideal for magnetic separation in assays (125). Carbon nanomaterials are adaptable for electronic and electrochemical biosensors but may require miniaturization for point-of-care use (126).

In summary, the choice of nanomaterial for TB diagnostics is application-specific, balancing manipulation ease, synthesis complexity, stability and adaptability to achieve sensitive, specific and cost-effective biosensors.

Limitations of nanomaterial-based sensing systems and possible solutions

While nanomaterial-based sensing systems have shown significant advances in the detection of MTB, several limitations and challenges must be addressed to fully realize their potential in TB diagnostics.

Stability and long-term performance

Nanomaterials can degrade over time, leading to reduced sensitivity and reliability of the biosensors. Factors such as environmental conditions, storage methods and interaction with biological fluids can affect their stability. Surface modification techniques, such as coating with stabilizing agents such as polyethylene glycol or thiol groups, can enhance the stability of nanomaterials. Additionally, rigorous quality control measures during manufacturing and storage can help maintain the integrity of the nanomaterials (127).

Biocompatibility and toxicity

Some nanomaterials, particularly MNPs and QDs, can exhibit toxicity when introduced into biological systems. This can lead to adverse effects on cells and tissues, limiting their use in in vivo diagnostics. Surface functionalization with biocompatible polymers or targeting ligands can reduce toxicity and improve cell uptake. Furthermore, developing biodegradable nanomaterials can mitigate long-term health risks (128).

Interference from biological and chemical components

Biological and chemical components in patient samples can interfere with the detection process, leading to false positives or negatives. Common interferents include proteins, lipids and other biomolecules Advanced sample preparation techniques, such as pre-concentration and purification, can reduce interference. Additionally, designing nanomaterials with specific recognition elements, such as antibodies or aptamers, can enhance selectivity and reduce cross-reactivity (129).

Cost and scalability

The synthesis and functionalization of nanomaterials can be costly and technically challenging, particularly for large-scale production. High costs can limit the accessibility of these technologies in resource-limited settings. Developing cost-effective synthesis methods, such as green chemistry approaches and scalable manufacturing processes, can reduce production costs. Additionally, optimizing the use of nanomaterials to achieve the desired performance with minimal material usage can help make these technologies more affordable (24,129).

Comparison of different response detection technologies for TB diagnostics

In addition to the properties of nanomaterials, response detection technology plays a crucial role in the analytical performance of biosensors for TB diagnostics. Optical assays, such as those using AuNPs, offer simplicity and cost-effectiveness but may have limited sensitivity and be prone to interference from complex sample matrices (130). Fluorescence assays, often employing QDs, provide high sensitivity and specificity due to their unique optical properties, yet they require specialized equipment and can suffer from photobleaching (131). Electrochemical assays, enhanced by carbon-based nanomaterials such as graphene, are known for their high sensitivity, rapid response and low cost, but are susceptible to electrode fouling and necessitate careful handling (132). Each detection technology presents distinct advantages and challenges and the optimal choice for TB biosensors depends on the balance between sensitivity, specificity, cost and operational simplicity. The development of future biosensors should aim to integrate the strengths of these detection methods to enhance diagnostic reliability and practicality.

Conclusions

In conclusion, nanomaterials for MTB detection may revolutionize TB diagnostics by addressing the inadequacies of clinical approaches. Metal nanoparticles, such as gold and silver, have been employed in colorimetric and electrochemical biosensors to speed up detection. QD-based platforms, such as the QD-NB-based MNAzyme colorimetric assay and the double QDs-ssDNA probe, can detect different TB markers simultaneously and are ultra-sensitive. Carbon-based nanomaterials, such as the graphene-based PAD, can quickly detect MTB in trace specimens. In serum, SWCNT FETs rapidly distinguish TB-positive from negative samples.

Despite the promising research progress reviewed here, limitations and problems remain. For instance, biosensor stability, biocompatibility and long-term performance need improvement. New diagnostic procedures also need substantial clinical validation to assure safety, efficacy and regulatory compliance. In practice, biological and chemical components can interfere with sensors; thus, their anti-interference capabilities must be strengthened. Researchers should improve sensor design, nanomaterial fabrication and data interpretation to overcome such challenges.

Availability of data and materials

Not applicable.

Authors' contributions

LC conducted the overall planning of the review, carried out the literature search and selection process. JZ drafted the core content. HW analyzed and discussed the literature in depth, offering valuable insights and assisting in refining the text. LC performed supplementary literature searches and validations, enhancing the comprehensiveness and accuracy of the review. Furthermore, JZ and LC jointly verified the authenticity of the relevant data points sourced from the reviewed literature. Data authentication is not applicable. All authors read and approved the final manuscript.

Ethics approval and consent to participate

Not applicable.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Abbreviations:

MTB

Mycobacterium tuberculosis

TB

tuberculosis

Au

gold

Ag

silver

ssDNA

single-stranded probe DNA

SPR

surface plasmon resonance

PNAs

peptide nucleic acids

acpcPNA

PNA with a positively charged lysine modification at its C-terminus

MNPs

magnetic nanoparticles

GMR

giant magnetoresistance

ESAT-6

early secreted antigenic target-6

MPT64

MTB 64 protein

QDs

quantum dots

SiNPs

silica nanoparticles

CFP10

culture filtrate antigen, 10 kDa

FRET

fluorescence resonance energy transfer

QDs-DNA

carboxyl-modified CdTe QDs to label single-stranded DNA

NB

nanobeacon

MNAzyme

multicomponent nuclease

CoTCPP

cobalt-metalized tetrakis(4-carboxyphenyl) porphyrin

nanoCoTPyP

nanocobalt 5,10,15,20-tetra(4-pyridyl)-21H,23H porphine

rGO

reduced graphene oxide

PNE

polynorepinephrine

PDA

polydopamine

PADs

paper-based analytical devices

GCOOH

carboxyl graphene

FET

field-effect transistor

GFETs

graphene-based field-effect transistors

SWCNTs

single-walled carbon nanotubes

Ab85B

anti-MTB antigen 85B antibody

Ag85B

MTB-secreted antigen 85B

1,5-DAN

1,5-diaminonaphthalene

FNDs

fluorescent nanodiamonds

EDC

1-Ethyl-3-(3-dimethylaminopropyl) carbodiimide

NHS

N-hydroxysuccinimide

Acknowledgements

Not applicable.

Funding

No funding was received.

References

1 

Bagcchi S: WHO's global tuberculosis report 2022. Lancet Microbe. 4:e202023. View Article : Google Scholar

2 

Asadi L, Croxen M, Heffernan C, Dhillon M, Paulsen C, Egedahl ML, Tyrrell G, Doroshenko A and Long R: How much do smear-negative patients really contribute to tuberculosis transmissions? Re-examining an old question with new tools. EClinicalMedicine. 43:1012502022. View Article : Google Scholar : PubMed/NCBI

3 

Meriki HD, Wung NH, Tufon KA, Tony NJ, Ane-Anyangwe I and Cho-Ngwa F: Evaluation of the performance of an in-house duplex PCR assay targeting the IS6110 and rpoB genes for tuberculosis diagnosis in Cameroon. BMC Infect Dis. 20:7912020. View Article : Google Scholar : PubMed/NCBI

4 

Natarajan S, Ranganathan M, Hanna LE and Tripathy S: Transcriptional profiling and deriving a seven-gene signature that discriminates active and latent tuberculosis: An integrative bioinformatics approach. Genes (Basel). 13:6162022. View Article : Google Scholar : PubMed/NCBI

5 

Molloy A, Harrison J, McGrath JS, Owen Z, Smith C, Liu X, Li X and Cox JAG: Microfluidics as a novel technique for tuberculosis: From diagnostics to drug discovery. Microorganisms. 9:23302021. View Article : Google Scholar : PubMed/NCBI

6 

Meier JP, Möbus S, Heigl F, Asbach-Nitzsche A, Niller HH, Plentz A, Avsar K, Heiß-Neumann M, Schaaf B, Cassens U, et al: Performance of T-Track® TB, a novel dual marker RT-qPCR-based whole-blood test for improved detection of active tuberculosis. Diagnostics (Basel). 13:7582023. View Article : Google Scholar

7 

Çiftci İH and Karakeçe E: Comparative evaluation of TK SLC-L, a rapid liquid mycobacterial culture medium, with the MGIT system. BMC Infect Dis. 14:1302014. View Article : Google Scholar : PubMed/NCBI

8 

Okoi C anderson STB, Antonio M, Mulwa SN, Gehre F and Adetifa IMO: Non-tuberculous mycobacteria isolated from pulmonary samples in sub-Saharan Africa-a systematic review and meta analyses. Sci Rep. 7:120022017. View Article : Google Scholar

9 

Reed JL, Walker ZJ, Basu D, Allen V, Nicol MP, Kelso DM and McFall SM: Highly sensitive sequence specific qPCR detection of Mycobacterium tuberculosis complex in respiratory specimens. Tuberculosis (Edinb). 101:114–124. 2016. View Article : Google Scholar : PubMed/NCBI

10 

Yang X, Fan S, Ma Y, Chen H, Xu JF, Pi J, Wang W and Chen G: Current progress of functional nanobiosensors for potential tuberculosis diagnosis: The novel way for TB control? Front Bioeng Biotechnol. 10:10366782022. View Article : Google Scholar :

11 

Lyu M, Zhou J, Zhou Y, Chong W, Xu W, Lai H, Niu L, Hai Y, Yao X, Gong S, et al: From tuberculosis bedside to bench: UBE2B splicing as a potential biomarker and its regulatory mechanism. Signal Transduct Target Ther. 8:822023. View Article : Google Scholar : PubMed/NCBI

12 

Metcalf T, Soria J, Montano SM, Ticona E, Evans CA, Huaroto L, Kasper M, Ramos ES, Mori N, Jittamala P, et al: Evaluation of the GeneXpert MTB/RIF in patients with presumptive tuberculous meningitis. PLoS One. 13:e01986952018. View Article : Google Scholar : PubMed/NCBI

13 

Tu Phan LM, Tufa LT, Kim HJ, Lee J and Park TJ: Trends in diagnosis for active tuberculosis using nanomaterials. Curr Med Chem. 26:1946–1959. 2019. View Article : Google Scholar

14 

Joshi H, Kandari D, Maitra SS and Bhatnagar R: Biosensors for the detection of Mycobacterium tuberculosis: A comprehensive overview. Crit Rev Microbiol. 48:784–812. 2022. View Article : Google Scholar : PubMed/NCBI

15 

Pourakbari R, Shadjou N, Yousefi H, Isildak I, Yousefi M, Rashidi MR and Khalilzadeh B: Recent progress in nanomaterial-based electrochemical biosensors for pathogenic bacteria. Mikrochim Acta. 186:8202019. View Article : Google Scholar : PubMed/NCBI

16 

Uhuo OV, Waryo TT, Douman SF, Januarie KC, Nwambaekwe KC, Ndipingwi MM, Ekwere P and Iwuoha EI: Bioanalytical methods encompassing label-free and labeled tuberculosis aptasensors: A review. Anal Chim Acta. 1234:3403262022. View Article : Google Scholar : PubMed/NCBI

17 

Xu K, Liang ZC, Ding X, Hu H, Liu S, Nurmik M, Bi S, Hu F, Ji Z, Ren J, et al: Nanomaterials in the prevention, diagnosis, and treatment of Mycobacterium tuberculosis infections. Adv Healthc Mater. 7:17005092018. View Article : Google Scholar

18 

Tan P, Li H, Wang J and Gopinath SCB: Silver nanoparticle in biosensor and bioimaging: Clinical perspectives. Biotechnol Appl Biochem. 68:1236–1242. 2021.

19 

Muthukrishnan L: Multidrug resistant tuberculosis-diagnostic challenges and its conquering by nanotechnology approach-an overview. Chem Biol Interact. 337:1093972021. View Article : Google Scholar

20 

Zhou B, Zhu M, Hao Y and Yang P: Potential-resolved electrochemiluminescence for simultaneous determination of triple latent tuberculosis infection markers. ACS Appl Mater Interfaces. 9:30536–30542. 2017. View Article : Google Scholar : PubMed/NCBI

21 

Dykman L and Khlebtsov N: Gold nanoparticles in biomedical applications: Recent advances and perspectives. Chem Soc Rev. 41:2256–2282. 2012. View Article : Google Scholar

22 

Sapsford KE, Algar WR, Berti L, Gemmill KB, Casey BJ, Oh E, Stewart MH and Medintz IL: Functionalizing nanoparticles with biological molecules: Developing chemistries that facilitate nanotechnology. Chem Rev. 113:1904–2074. 2013. View Article : Google Scholar : PubMed/NCBI

23 

Drain PK, Bajema KL, Dowdy D, Dheda K, Naidoo K, Schumacher SG, Ma S, Meermeier E, Lewinsohn DM and Sherman DR: Incipient and subclinical tuberculosis: A clinical review of early stages and progression of infection. Clin Microbiol Rev. 31:e00021–18. 2018. View Article : Google Scholar : PubMed/NCBI

24 

Rosi NL and Mirkin CA: Nanostructures in biodiagnostics. Chem Rev. 105:1547–1562. 2005. View Article : Google Scholar : PubMed/NCBI

25 

Singh V and Chibale K: Strategies to combat multi-drug resistance in tuberculosis. Acc Chem Res. 54:2361–2376. 2021. View Article : Google Scholar : PubMed/NCBI

26 

Golichenari B, Nosrati R, Farokhi-Fard A, Abnous K, Vaziri F and Behravan J: Nano-biosensing approaches on tuberculosis: Defy of aptamers. Biosens Bioelectron. 117:319–331. 2018. View Article : Google Scholar : PubMed/NCBI

27 

Eivazzadeh-Keihan R, Saadatidizaji Z, Mahdavi M, Maleki A, Irani M and Zare I: Recent advances in gold nanoparticles-based biosensors for tuberculosis determination. Talanta. 275:1260992024. View Article : Google Scholar : PubMed/NCBI

28 

Golichenari B, Nosrati R, Farokhi-Fard A, Faal Maleki M, Gheibi Hayat SM, Ghazvini K, Vaziri F and Behravan J: Electrochemical-based biosensors for detection of Mycobacterium tuberculosis and tuberculosis biomarkers. Crit Rev Biotechnol. 39:1056–1077. 2019. View Article : Google Scholar : PubMed/NCBI

29 

Seele PP, Dyan B, Skepu A, Maserumule C and Sibuyi NRS: Development of gold-nanoparticle-based lateral flow immunoassays for rapid detection of TB ESAT-6 and CFP-10. Biosensors (Basel). 13:3542023. View Article : Google Scholar : PubMed/NCBI

30 

Kamra E, Prasad T, Rais A, Dahiya B, Sheoran A, Soni A, Sharma S and Mehta PK: Diagnosis of genitourinary tuberculosis: Detection of mycobacterial lipoarabinomannan and MPT-64 biomarkers within urine extracellular vesicles by nano-based immuno-PCR assay. Sci Rep. 13:115602023. View Article : Google Scholar : PubMed/NCBI

31 

Dahiya B, Prasad T, Rais A, Sheoran A, Kamra E, Mor P, Soni A, Sharma S and Mehta PK: Quantification of mycobacterial proteins in extrapulmonary tuberculosis cases by nano-based real-time immuno-PCR. Future Microbiol. 18:771–783. 2023. View Article : Google Scholar : PubMed/NCBI

32 

Tripathi A, Jain R and Dandekar P: Rapid visual detection of Mycobacterium tuberculosis DNA using gold nanoparticles. Anal Methods. 15:2497–2504. 2023. View Article : Google Scholar : PubMed/NCBI

33 

Huang H, Chen Y, Zuo J, Deng C, Fan J, Bai L and Guo S: MXene-incorporated C60NPs and Au@Pt with dual-electric signal outputs for accurate detection of Mycobacterium tuberculosis ESAT-6 antigen. Biosens Bioelectron. 242:1157342023. View Article : Google Scholar

34 

Patnaik N and Dey RJ: Label-free citrate-stabilized silver nanoparticles-based, highly sensitive, cost-effective, and rapid visual method for the differential detection of Mycobacterium tuberculosis and mycobacterium bovis. ACS Infect Dis. 10:426–435. 2024. View Article : Google Scholar

35 

Pei X, Hong H, Liu S and Li N: Nucleic acids detection for Mycobacterium tuberculosis based on gold nanoparticles counting and rolling-circle amplification. Biosensors (Basel). 12:4482022. View Article : Google Scholar : PubMed/NCBI

36 

León-Janampa N, Shinkaruk S, Gilman RH, Kirwan DE, Fouquet E, Szlosek M, Sheen P and Zimic M: Biorecognition and detection of antigens from Mycobacterium tuberculosis using a sandwich ELISA associated with magnetic nanoparticles. J Pharm Biomed Anal. 215:1147492022. View Article : Google Scholar : PubMed/NCBI

37 

Zhang J and He F: Mycobacterium tuberculosis piezoelectric sensor based on AuNPs-mediated enzyme assisted signal amplification. Talanta. 236:1229022022. View Article : Google Scholar

38 

Xie J, Mu Z, Yan B, Wang J, Zhou J and Bai L: An electrochemical aptasensor for Mycobacterium tuberculosis ESAT-6 antigen detection using bimetallic organic framework. Mikrochim Acta. 188:4042021. View Article : Google Scholar : PubMed/NCBI

39 

Prabowo BA, Purwidyantri A, Liu B, Lai HC and Liu KC: Gold nanoparticle-assisted plasmonic enhancement for DNA detection on a graphene-based portable surface plasmon resonance sensor. Nanotechnology. 32:0955032021. View Article : Google Scholar

40 

Tai MJY, Perumal V, Gopinath SCB, Raja PB, Ibrahim MNM, Jantan IN, Suhaimi NSH and Liu WW: Laser-scribed graphene nanofiber decorated with oil palm lignin capped silver nanoparticles: A green biosensor. Sci Rep. 11:54752021. View Article : Google Scholar : PubMed/NCBI

41 

Mohd Azmi UZ, Yusof NA, Abdullah J, Alang Ahmad SA, Mohd Faudzi FN, Ahmad Raston NH, Suraiya S, Ong PS, Krishnan D and Sahar NK: Portable electrochemical immunosensor for detection of Mycobacterium tuberculosis secreted protein CFP10-ESAT6 in clinical sputum samples. Mikrochim Acta. 188:202021. View Article : Google Scholar : PubMed/NCBI

42 

Gupta S, Bhatter P and Kakkar V: Point-of-care detection of tuberculosis using magnetoresistive biosensing chip. Tuberculosis (Edinb). 127:1020552021. View Article : Google Scholar : PubMed/NCBI

43 

León-Janampa N, Zimic M, Shinkaruk S, Quispe-Marcatoma J, Gutarra A, Le Bourdon G, Gayot M, Changanaqui K, Gilman RH, Fouquet E, et al: Synthesis, characterization and bio-functionalization of magnetic nanoparticles to improve the diagnosis of tuberculosis. Nanotechnology. 31:1751012020. View Article : Google Scholar : PubMed/NCBI

44 

Terefinko D, Dzimitrowicz A, Bielawska-Pohl A, Klimczak A, Pohl P and Jamroz P: The influence of cold atmospheric pressure plasma-treated media on the cell viability, motility, and induction of apoptosis in in human non-metastatic (MCF7) and metastatic (MDA-MB-231) breast cancer cell lines. Int J Mol Sci. 22:38552021. View Article : Google Scholar

45 

Gupta AK, Singh A and Singh S: Diagnosis of Tuberculosis: Nanodiagnostics Approaches. Saxena S and Khurana S: NanoBioMedicine. Springer; Singapore: pp. 261–283. 2020, View Article : Google Scholar

46 

Cordeiro M, Ferreira Carlos F, Pedrosa P, Lopez A and Baptista PV: Gold nanoparticles for diagnostics: Advances towards points of care. Diagnostics (Basel). 6:432016. View Article : Google Scholar : PubMed/NCBI

47 

Wang Y, Yu L, Kong X and Sun L: Application of nanodiagnostics in point-of-care tests for infectious diseases. Int J Nanomedicine. 12:4789–4803. 2017. View Article : Google Scholar : PubMed/NCBI

48 

Chowdhury NK, Choudhury R, Gogoi B, Chang CM and Pandey RP: Microbial synthesis of gold nanoparticles and their application. Curr Drug Targets. 23:752–760. 2022. View Article : Google Scholar : PubMed/NCBI

49 

Lopes TS, Alves GG, Pereira MR, Granjeiro JM and Leite PEC: Advances and potential application of gold nanoparticles in nanomedicine. J Cell Biochem. 120:16370–16378. 2019. View Article : Google Scholar : PubMed/NCBI

50 

Anker JN, Hall WP, Lyandres O, Shah NC, Zhao J and Van Duyne RP: Biosensing with plasmonic nanosensors. Nat Mater. 7:442–453. 2008. View Article : Google Scholar : PubMed/NCBI

51 

Datta M, Desai D and Kumar A: Gene specific DNA sensors for diagnosis of pathogenic infections. Indian J Microbiol. 57:139–147. 2017. View Article : Google Scholar : PubMed/NCBI

52 

Mi X, He F, Xiang M, Lian Y and Yi S: Novel phage amplified multichannel series piezoelectric quartz crystal sensor for rapid and sensitive detection of Mycobacterium tuberculosis. Anal Chem. 84:939–946. 2012. View Article : Google Scholar

53 

Zhang X, Feng Y, Duan S, Su L, Zhang J and He F: Mycobacterium tuberculosis strain H37Rv electrochemical sensor mediated by aptamer and AuNPs-DNA. ACS Sens. 4:849–855. 2019. View Article : Google Scholar : PubMed/NCBI

54 

Teengam P, Siangproh W, Tuantranont A, Vilaivan T, Chailapakul O and Henry CS: Multiplex paper-based colorimetric DNA sensor using pyrrolidinyl peptide nucleic acid-induced AgNPs aggregation for detecting MERS-CoV, MTB, and HPV oligonucleotides. Anal Chem. 89:5428–5435. 2017. View Article : Google Scholar : PubMed/NCBI

55 

Pascu B, Negrea A, Ciopec M, Duteanu N, Negrea P, Bumm LA, Grad mBuriac O, Nemeş NS, Mihalcea C and Duda-Seiman DM: Silver nanoparticle synthesis via photochemical reduction with sodium citrate. Int J Mol Sci. 24:2552022. View Article : Google Scholar

56 

Iravani S, Korbekandi H, Mirmohammadi SV and Zolfaghari B: Synthesis of silver nanoparticles: Chemical, physical and biological methods. Res Pharm Sci. 9:385–406. 2014.

57 

Salvador M, Marqués-Fernandez JL, Martinez-Garcia JC, Fiorani D, Arosio P, Avolio M, Brero F, Balanean F, Guerrini A, Sangregorio C, et al: Double-layer fatty acid nanoparticles as a multiplatform for diagnostics and therapy. Nanomaterials (Basel). 12:2052022. View Article : Google Scholar : PubMed/NCBI

58 

Cheon HJ, Lee SM, Kim SR, Shin HY, Seo YH, Cho YK, Lee SP and Kim MI: Colorimetric detection of MPT64 antibody based on an aptamer adsorbed magnetic nanoparticles for diagnosis of tuberculosis. J Nanosci Nanotechnol. 19:622–626. 2019. View Article : Google Scholar

59 

Yan Z, Gan N, Zhang H, Wang D, Qiao L, Cao Y, Li T and Hu F: A sandwich-hybridization assay for simultaneous determination of HIV and tuberculosis DNA targets based on signal amplification by quantum dots-PowerVision™ polymer coding nanotracers. Biosens Bioelectron. 71:207–213. 2015. View Article : Google Scholar : PubMed/NCBI

60 

Chen P, Meng Y, Liu T, Peng W, Gao Y, He Y, Qu R, Zhang C, Hu W and Ying B: Sensitive urine immunoassay for visualization of lipoarabinomannan for noninvasive tuberculosis diagnosis. ACS Nano. 17:6998–7006. 2023. View Article : Google Scholar : PubMed/NCBI

61 

Hu O, Li Z, Wu J, Tan Y, Chen Z and Tong Y: A multicomponent nucleic acid enzyme-cleavable quantum dot nanobeacon for highly sensitive diagnosis of tuberculosis with the naked eye. ACS Sens. 8:254–262. 2023. View Article : Google Scholar

62 

He Q, Cai S, Wu J, Hu O, Liang L and Chen Z: Determination of tuberculosis-related volatile organic biomarker methyl nicotinate in vapor using fluorescent assay based on quantum dots and cobalt-containing porphyrin nanosheets. Mikrochim Acta. 189:1082022. View Article : Google Scholar : PubMed/NCBI

63 

Hu O, Li Z, He Q, Tong Y, Tan Y and Chen Z: Fluorescence biosensor for one-step simultaneous detection of Mycobacterium tuberculosis multidrug-resistant genes using nanoCoTPyP and double quantum dots. Anal Chem. 94:7918–7927. 2022. View Article : Google Scholar : PubMed/NCBI

64 

Kabwe KP, Nsibande SA, Lemmer Y, Pilcher LA and Forbes PBC: Synthesis and characterisation of quantum dots coupled to mycolic acids as a water-soluble fluorescent probe for potential lateral flow detection of antibodies and diagnosis of tuberculosis. Luminescence. 37:278–289. 2022. View Article : Google Scholar

65 

Shi T, Jiang P, Peng W, Meng Y, Ying B and Chen P: Nucleic acid and nanomaterial synergistic amplification enables dual targets of ultrasensitive fluorescence quantification to improve the efficacy of clinical tuberculosis diagnosis. ACS Appl Mater Interfaces. 16:14510–14519. 2024. View Article : Google Scholar : PubMed/NCBI

66 

Kabwe KP, Nsibande SA, Pilcher LA and Forbes PBC: Development of a mycolic acid-graphene quantum dot probe as a potential tuberculosis biosensor. Luminescence. 37:1881–1890. 2022. View Article : Google Scholar : PubMed/NCBI

67 

Liang L, Chen M, Tong Y, Tan W and 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. 1186:3390902021. View Article : Google Scholar : PubMed/NCBI

68 

Mohd Bakhori N, Yusof NA, Abdullah J, Wasoh H, Ab Rahman SK and Abd Rahman SF: 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). 13:1492019. View Article : Google Scholar

69 

Qian J, Cui H, Lu X, Wang C, An K, Hao N and Wang K: Bi-color FRET from two nano-donors to a single nano-acceptor: A universal aptasensing platform for simultaneous determination of dual targets. Chem Eng J. 401:1260172020. View Article : Google Scholar

70 

Zhang LM, Li R, Zhao XC, Zhang Q and Luo XL: Increased transfusion of fresh frozen plasma is associated with mortality or worse functional outcomes after severe traumatic brain injury: A retrospective study. World Neurosurg. 104:381–389. 2017. View Article : Google Scholar : PubMed/NCBI

71 

Zhang X, Hu Y, Yang X, Tang Y, Han S, Kang A, Deng H, Chi Y, Zhu D and Lu Y: FÖrster resonance energy transfer (FRET)-based biosensors for biological applications. Biosens Bioelectron. 138:1113142019. View Article : Google Scholar

72 

Chen S, Yu YL and Wang JH: Inner filter effect-based fluorescent sensing systems: A review. Anal Chim Acta. 999:13–26. 2018. View Article : Google Scholar

73 

Afsari HS, Cardoso Dos Santos M, Lindén S, Chen T, Qiu X, van Bergen En Henegouwen PM, Jennings TL, Susumu K, Medintz IL, Hildebrandt N and Miller LW: Time-gated FRET nanoassemblies for rapid and sensitive intra- and extracellular fluorescence imaging. Sci Adv. 2:e16002652016. View Article : Google Scholar : PubMed/NCBI

74 

Gliddon HD, Howes PD, Kaforou M, Levin M and Stevens MM: A nucleic acid strand displacement system for the multiplexed detection of tuberculosis-specific mRNA using quantum dots. Nanoscale. 8:10087–10095. 2016. View Article : Google Scholar : PubMed/NCBI

75 

Futane A, Narayanamurthy V, Jadhav P and Srinivasan A: Aptamer-based rapid diagnosis for point-of-care application. Microfluid Nanofluidics. 27:152023. View Article : Google Scholar : PubMed/NCBI

76 

Kumar S, Wang Z, Zhang W, Liu X, Li M, Li G, Zhang B and Singh R: Optically active nanomaterials and its biosensing applications-a review. Biosensors (Basel). 13:852023. View Article : Google Scholar : PubMed/NCBI

77 

Sharifi S, Vahed SZ, Ahmadian E, Dizaj SM, Eftekhari A, Khalilov R, Ahmadi M, Hamidi-Asl E and Labib M: Detection of pathogenic bacteria via nanomaterials-modified aptasensors. Biosens Bioelectron. 150:1119332020. View Article : Google Scholar

78 

Pornprom T, Phusi N, Thongdee P, Pakamwong B, Sangswan J, Kamsri P, Punkvang A, Suttisintong K, Leanpolchareanchai J, Hongmanee P, et al: Toward the early diagnosis of tuberculosis: A gold particle-decorated graphene-modified paper-based electrochemical biosensor for Hsp16.3 detection. Talanta. 267:1252102024. View Article : Google Scholar

79 

Wang J, Shao W, Liu Z, Kesavan G, Zeng Z, Shurin MR and Star A: Diagnostics of tuberculosis with single-walled carbon nanotube-based field-effect transistors. ACS Sens. 9:1957–1966. 2024. View Article : Google Scholar : PubMed/NCBI

80 

Le TN, Descanzo MJN, Hsiao WWW, Soo PC, Peng WP and Chang HC: Fluorescent nanodiamond immunosensors for clinical diagnostics of tuberculosis. J Mater Chem B. 12:3533–3542. 2024. View Article : Google Scholar : PubMed/NCBI

81 

Bisht N, Patel M, Dwivedi N, Kumar P, Mondal DP, Srivastava AK and Dhand C: Bio-inspired polynorepinephrine based nanocoatings for reduced graphene oxide/gold nanoparticles composite for high-performance biosensing of Mycobacterium tuberculosis. Environ Res. 227:1156842023. View Article : Google Scholar : PubMed/NCBI

82 

Seo G, Lee G, Kim W, An I, Choi M, Jang S, Park YJ, Lee JO, Cho D and Park EC: Ultrasensitive biosensing platform for Mycobacterium tuberculosis detection based on functionalized graphene devices. Front Bioeng Biotechnol. 11:13134942023. View Article : Google Scholar

83 

Mogha NK, Sahu V, Sharma RK and Masram DT: Reduced graphene oxide nanoribbon immobilized gold nanoparticle based electrochemical DNA biosensor for the detection of Mycobacterium tuberculosis. J Mater Chem B. 6:5181–5187. 2018. View Article : Google Scholar : PubMed/NCBI

84 

Li Y, Peng D, Guo S, Yang B, Zhou J, Zhou J, Zhang Q and Bai L: Aptasensor for Mycobacterium tuberculosis antigen MPT64 detection using anthraquinone derivative confined in ordered mesoporous carbon as a new redox nanoprobe. Bioelectrochemistry. 147:1082092022. View Article : Google Scholar : PubMed/NCBI

85 

Rizi KS, Hatamluyi B, Rezayi M, Meshkat Z, Sankian M, Ghazvini K, Farsiani H and Aryan E: Response surface methodology optimized electrochemical DNA biosensor based on HAPNPTs/PPY/MWCNTs nanocomposite for detecting Mycobacterium tuberculosis. Talanta. 226:1220992021. View Article : Google Scholar : PubMed/NCBI

86 

Javed A, Abbas SR, Hashmi MU, Babar NUA and Hussain I: Graphene oxide based electrochemical genosensor for label free detection of mycobacterium tuberculosis from raw clinical samples. Int J Nanomedicine. 16:7339–7352. 2021. View Article : Google Scholar : PubMed/NCBI

87 

Omar RA, Verma N and Arora PK: Development of ESAT-6 based immunosensor for the detection of mycobacterium tuberculosis. Front Immunol. 12:6538532021. View Article : Google Scholar : PubMed/NCBI

88 

Jaroenram W, Kampeera J, Arunrut N, Karuwan C, Sappat A, Khumwan P, Jaitrong S, Boonnak K, Prammananan T, Chaiprasert A, et al: Graphene-based electrochemical genosensor incorporated loop-mediated isothermal amplification for rapid on-site detection of Mycobacterium tuberculosis. J Pharm Biomed Anal. 186:1133332020. View Article : Google Scholar : PubMed/NCBI

89 

Kahng SJ, Soelberg SD, Fondjo F, Kim JH, Furlong CE and Chung JH: Carbon nanotube-based thin-film resistive sensor for point-of-care screening of tuberculosis. Biomed Microdevices. 22:502020. View Article : Google Scholar : PubMed/NCBI

90 

Hidayah NMS, Liu WW, Lai CW, Noriman NZ, Khe CS, Hashim U and Lee HC: Comparison on graphite, graphene oxide and reduced graphene oxide: Synthesis and characterization. AIP Conf Proc. 1892:1500022017. View Article : Google Scholar

91 

Ping J, Zhou Y, Wu Y, Papper V, Boujday S, Marks RS and Steele TW: Recent advances in aptasensors based on graphene and graphene-like nanomaterials. Biosens Bioelectron. 64:373–385. 2015. View Article : Google Scholar

92 

Raccichini R, Varzi A, Passerini S and Scrosati B: The role of graphene for electrochemical energy storage. Nat Mater. 14:271–279. 2015. View Article : Google Scholar

93 

Yan Q, Zhi N, Yang L, Xu G, Feng Q, Zhang Q and Sun S: A highly sensitive uric acid electrochemical biosensor based on a nano-cube cuprous oxide/ferrocene/uricase modified glassy carbon electrode. Sci Rep. 10:106072020. View Article : Google Scholar : PubMed/NCBI

94 

Barra A, Nunes C, Ruiz-Hitzky E and Ferreira P: Green carbon nanostructures for functional composite materials. Int J Mol Sci. 23:18482022. View Article : Google Scholar : PubMed/NCBI

95 

Chaturvedi M, Patel M, Bisht N, Shruti, Das Mukherjee M, Tiwari A, Mondal DP, Srivastava AK, Dwivedi N and Dhand C: Reduced graphene oxide-polydopamine-gold nanoparticles: A ternary nanocomposite-based electrochemical genosensor for rapid and early Mycobacterium tuberculosis detection. Biosensors (Basel). 13:3422023. View Article : Google Scholar : PubMed/NCBI

96 

Tian J, Deng SY, Li DL, Shan D, He W, Zhang XJ and Shi Y: Bioinspired polydopamine as the scaffold for the active AuNPs anchoring and the chemical simultaneously reduced graphene oxide: Characterization and the enhanced biosensing application. Biosens Bioelectron. 49:466–471. 2013. View Article : Google Scholar : PubMed/NCBI

97 

Li Y, Shi S, Cao H, Zhao Z, Su C and Wen H: Improvement of the antifouling performance and stability of an anion exchange membrane by surface modification with graphene oxide (GO) and polydopamine (PDA). J Memb Sci. 566:44–53. 2018. View Article : Google Scholar

98 

Xia L, Vemuri B, Gadhamshetty V and Kilduff J: Poly (ether sulfone) membrane surface modification using norepinephrine to mitigate fouling. J Memb Sci. 598:1176572020. View Article : Google Scholar

99 

Dhand C, Ong ST, Dwivedi N, Diaz SM, Venugopal JR, Navaneethan B, Fazil MH, Liu S, Seitz V, Wintermantel E, et al: Bio-inspired in situ crosslinking and mineralization of electrospun collagen scaffolds for bone tissue engineering. Biomaterials. 104:323–338. 2016. View Article : Google Scholar : PubMed/NCBI

100 

Teengam P, Siangproh W, Tuantranont A, Vilaivan T, Chailapakul O and Henry CS: Electrochemical impedance-based DNA sensor using pyrrolidinyl peptide nucleic acids for tuberculosis detection. Anal Chim Acta. 1044:102–109. 2018. View Article : Google Scholar : PubMed/NCBI

101 

Thangamuthu M, Hsieh KY, Kumar PV and Chen GY: Graphene- and graphene oxide-based nanocomposite platforms for electrochemical biosensing applications. Int J Mol Sci. 20:29752019. View Article : Google Scholar : PubMed/NCBI

102 

Vu CA and Chen WY: Field-effect transistor biosensors for biomedical applications: Recent advances and future prospects. Sensors (Basel). 19:42142019. View Article : Google Scholar : PubMed/NCBI

103 

Chen S and Bashir R: Advances in field-effect biosensors towards point-of-use. Nanotechnology. 34:4920022023. View Article : Google Scholar :

104 

Szunerits S, Rodrigues T, Bagale R, Happy H, Boukherroub R and Knoll W: Graphene-based field-effect transistors for biosensing: Where is the field heading to? Anal Bioanal Chem. 416:2137–2150. 2024. View Article : Google Scholar

105 

Krishnan SK, Nataraj N, Meyyappan M and Pal U: Graphene-based field-effect transistors in biosensing and neural interfacing applications: Recent advances and prospects. Anal Chem. 95:2590–2622. 2023. View Article : Google Scholar : PubMed/NCBI

106 

Gong X, Shuai L, Beingessner RL, Yamazaki T, Shen J, Kuehne M, Jones K, Fenniri H and Strano MS: Size selective corona interactions from self-assembled rosette and single-walled carbon nanotubes. Small. 18:e21049512022. View Article : Google Scholar : PubMed/NCBI

107 

Kumar THV, Rajendran J, Atchudan R, Arya S, Govindasamy M, Habila MA and Sundramoorthy AK: Cobalt ferrite/semiconducting single-walled carbon nanotubes based field-effect transistor for determination of carbamate pesticides. Environ Res. 238:1171932023. View Article : Google Scholar : PubMed/NCBI

108 

Liu H, Liu F, Sun Z, Cai X, Sun H, Kai Y, Chen L and Jiang C: Single layer aligned semiconducting single-walled carbon nanotube array with high linear density. Nanotechnology. 33:3753012022. View Article : Google Scholar

109 

Wang Y, Liu D, Zhang H, Wang J, Du R, Li TT, Qian J, Hu Y and Huang S: Methylation-induced reversible metallic-semiconducting transition of single-walled carbon nanotube arrays for high-performance field-effect transistors. Nano Lett. 20:496–501. 2020. View Article : Google Scholar

110 

Tran TT, Clark K, Ma W and Mulchandani A: Detection of a secreted protein biomarker for citrus Huanglongbing using a single-walled carbon nanotubes-based chemiresistive biosensor. Biosens Bioelectron. 147:1117662020. View Article : Google Scholar

111 

Shao W, Shurin MR, Wheeler SE, He X and Star A: Rapid detection of SARS-CoV-2 Antigens using high-purity semiconducting single-walled carbon nanotube-based field-effect transistors. ACS Appl Mater Interfaces. 13:10321–10327. 2021. View Article : Google Scholar : PubMed/NCBI

112 

Li T, Liang Y, Li J, Yu Y, Xiao MM, Ni W, Zhang Z and Zhang GJ: Carbon nanotube field-effect transistor biosensor for ultrasensitive and label-free detection of breast cancer exosomal miRNA21. Anal Chem. 93:15501–15507. 2021. View Article : Google Scholar : PubMed/NCBI

113 

Chen H, Xiao M, He J, Zhang Y, Liang Y, Liu H and Zhang Z: Aptamer-functionalized carbon nanotube field-effect transistor biosensors for Alzheimer's disease serum biomarker detection. ACS Sens. 7:2075–2083. 2022. View Article : Google Scholar : PubMed/NCBI

114 

Hui YY, Chen OJ, Lin HH, Su YK, Chen KY, Wang CY, Hsiao WW and Chang HC: Magnetically modulated fluorescence of nitrogen-vacancy centers in nanodiamonds for ultrasensitive biomedical analysis. Anal Chem. 93:7140–7147. 2021. View Article : Google Scholar : PubMed/NCBI

115 

Boruah A and Saikia BK: Synthesis, characterization, properties and novel applications of fluorescent nanodiamonds. J Fluoresc. 32:863–885. 2022. View Article : Google Scholar : PubMed/NCBI

116 

Mzyk A, Sigaeva A and Schirhagl R: Relaxometry with nitrogen vacancy (NV) centers in diamond. Acc Chem Res. 55:3572–3580. 2022. View Article : Google Scholar : PubMed/NCBI

117 

Daniel MC and Astruc D: Gold nanoparticles: Assembly, supramolecular chemistry, quantum-size-related properties, and applications toward biology, catalysis, and nanotechnology. Chem Rev. 104:293–346. 2004. View Article : Google Scholar : PubMed/NCBI

118 

Medintz IL, Uyeda HT, Goldman ER and Mattoussi H: Quantum dot bioconjugates for imaging, labelling and sensing. Nat Mater. 4:435–446. 2005. View Article : Google Scholar : PubMed/NCBI

119 

Wei Y and Yang R: Nanomechanics of graphene. Natl Sci Rev. 6:324–348. 2019. View Article : Google Scholar : PubMed/NCBI

120 

Eckhardt S, Brunetto PS, Gagnon J, Priebe M, Giese B and Fromm KM: Nanobio silver: Its interactions with peptides and bacteria, and its uses in medicine. Chem Rev. 113:4708–4754. 2013. View Article : Google Scholar : PubMed/NCBI

121 

Zhao P, Xu Q, Tao J, Jin Z, Pan Y, Yu C and Yu Z: Near infrared quantum dots in biomedical applications: Current status and future perspective. Wiley Interdiscip Rev Nanomed Nanobiotechnol. 10:e14832018. View Article : Google Scholar

122 

Laurent S, Bridot JL, Elst LV and Muller RN: Magnetic iron oxide nanoparticles for biomedical applications. Future Med Chem. 2:427–449. 2010. View Article : Google Scholar

123 

Haiss W, Thanh NT, Aveyard J and Fernig DG: Determination of size and concentration of gold nanoparticles from UV-vis spectra. Anal Chem. 79:4215–4221. 2007. View Article : Google Scholar : PubMed/NCBI

124 

Kim D, Shin K, Kwon SG and Hyeon T: Synthesis and biomedical applications of multifunctional nanoparticles. Adv Mater. 30:e18023092018. View Article : Google Scholar : PubMed/NCBI

125 

Sobhanan J, Anas A and Biju V: Nanomaterials for fluorescence and multimodal bioimaging. Chem Rec. 23:e2022002532023. View Article : Google Scholar : PubMed/NCBI

126 

Katz E and Willner I: Integrated nanoparticle-biomolecule hybrid systems: Synthesis, properties, and applications. Angew Chem Int Ed Engl. 43:6042–6108. 2004. View Article : Google Scholar : PubMed/NCBI

127 

Li B, Wang W, Zhao L, Wu Y, Li X, Yan D, Gao Q, Yan Y, Zhang J, Feng Y, et al: Photothermal therapy of tuberculosis using targeting pre-activated macrophage membrane-coated nanoparticles. Nat Nanotechnol. 19:834–845. 2024. View Article : Google Scholar : PubMed/NCBI

128 

Nair A, Greeny A, Nandan A, Sah RK, Jose A, Dyawanapelly S, Junnuthula V, K V A and Sadanandan P: Advanced drug delivery and therapeutic strategies for tuberculosis treatment. J Nanobiotechnology. 21:4142023. View Article : Google Scholar : PubMed/NCBI

129 

El-Samadony H, Althani A, Tageldin MA and Azzazy HME: Nanodiagnostics for tuberculosis detection. Expert Rev Mol Diagn. 17:427–443. 2017. View Article : Google Scholar : PubMed/NCBI

130 

Li M, Singh R, Wang Y, Marques C, Zhang B and Kumar S: Advances in novel nanomaterial-based optical fiber biosensors-a review. Biosensors (Basel). 12:8432022. View Article : Google Scholar : PubMed/NCBI

131 

Vu CQ and Arai S: Quantitative imaging of genetically encoded fluorescence lifetime biosensors. Biosensors (Basel). 13:9392023. View Article : Google Scholar : PubMed/NCBI

132 

Hemmerová E and Homola J: Combining plasmonic and electrochemical biosensing methods. Biosens Bioelectron. 251:1160982024. View Article : Google Scholar : PubMed/NCBI

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March-2025
Volume 55 Issue 3

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Zhu J, Wang H and Chen L: Recent advances in nanomaterials for the detection of mycobacterium tuberculosis (Review). Int J Mol Med 55: 36, 2025.
APA
Zhu, J., Wang, H., & Chen, L. (2025). Recent advances in nanomaterials for the detection of mycobacterium tuberculosis (Review). International Journal of Molecular Medicine, 55, 36. https://doi.org/10.3892/ijmm.2024.5477
MLA
Zhu, J., Wang, H., Chen, L."Recent advances in nanomaterials for the detection of mycobacterium tuberculosis (Review)". International Journal of Molecular Medicine 55.3 (2025): 36.
Chicago
Zhu, J., Wang, H., Chen, L."Recent advances in nanomaterials for the detection of mycobacterium tuberculosis (Review)". International Journal of Molecular Medicine 55, no. 3 (2025): 36. https://doi.org/10.3892/ijmm.2024.5477