PubMed · 9584619
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D G Myszka, T A Morton. 1998. CLAMP: a biosensor kinetic data analysis program.. https://doi.org/10.1016/s0968-0004(98)01183-9
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Tuberculosis (TB) remains one of the leading causes of death from a single infectious agent worldwide, with timely diagnosis continuing to be a major challenge, particularly in resource-limited settings. Conventional TB diagnostic methods are limited by low sensitivity, long turnaround times, and an inability to reliably differentiate latent from active disease. Biomarker-based diagnostic strategies have therefore gained increasing attention as they offer the potential to improve early detection, disease differentiation, and treatment monitoring. Herein, we examine electrochemical biosensing strategies for TB diagnostics using a biomarker-class-driven framework, covering host-response biomarkers (IFN-γ and TNF-α), pathogen-derived antigens (ESAT6, CFP10, CFP10-ESAT6, MPT64, Ag85, HspX and LpqH), cell-wall signatures and whole-cell markers (LAM and whole cell Mtb), and genomic markers (Mtb DNA and IS6110). Through structured comparison of recognition elements, biointerface designs, signal amplification strategies, electrochemical techniques, matrices, and validation levels, this review identifies the most promising technical approaches for different TB biomarker classes. It further highlights key translational bottlenecks, including limited clinical validation, buffer-based testing, complex multistep amplification, redox-probe dependence, matrix fouling, and insufficient evidence of manufacturability. This review therefore provides practical guidance for developing electrochemical TB biosensors that are analytically sensitive, clinically relevant, and suitable for decentralized diagnostic applications.
Foodborne microbial contamination is a major global health concern, with conventional methods often being time-consuming and complex. Herein, we developed a novel portable biosensor by integrating microneedle patch technology and a metal-organic framework (Fe/Cu-NBDC MOF) nanozyme, enabling rapid, on-site, visual detection of bacteria in meat. The sensing system works by encapsulating aptamer-functionalized MOF nanozymes within a hydrogel patch, where their catalytic sites are initially blocked by the aptamer. In the presence of Staphylococcus aureus (S. aureus) as the target, the specific aptamer's binding to bacteria exposes numerous catalytic sites, further activating the chromogenic reaction of the tetramethylbenzidine‑hydrogen peroxide (TMB-H₂O₂) system, enabling visual detection of S. aureus. The biosensor demonstrates a detection limit of 82 CFU/mL with excellent specificity to successfully apply to commercial mutton. By integrating sampling, enrichment, and visual detection into a single compact device, this platform offers a practical, efficient solution for rapid on-site screening of foodborne pathogens.
The effect on oligonucleotide-template duplex stability upon cohybridization of adjacently annealing oligonucleotides, the modular primer effect, was studied with biosensor technology. DNA and peptide nucleic acid (PNA) hexamer modules and sensor chip-immobilized template DNA strands were designed for analysis of nick, overlap, and gap modular hybridization situations. The fast hybridization kinetics for such hexamer modules allowed for the determination of apparent duplex affinities from equilibrium responses. The results showed that the hybridizational stability of modular hexamer pairs is strongly dependent on the positioning, concentration, and inherent affinity of the adjacently annealing hexamer module. Up to 80-fold increases in apparent affinities could be observed for adjacent modular oligonucleotide pairs compared to affinities determined for single hexamer oligonucleotide hybridizations. Interestingly, also for coinjections of different module combinations where DNA hexamer modules were replaced by their PNA counterparts, a modular primer effect was observed. The introduction of a single base gap between two hexamer modules significantly reduced the stabilization effect, whereas a gap of two bases resulted in a complete loss of the effect. The results suggest that the described biosensor-based methodology should be useful for the selection of appropriate modules and working concentrations for use in different modular hybridization applications.