PubMed · 9175468
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G Panayotou, M Waterfield. 1997. Kinetic data reliability.. https://doi.org/10.1016/s0968-0004(97)01037-2
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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 binding kinetics of human insulin-like growth factor binding protein (IGFBP) 1-6 for recombinant human insulin-like growth factor (IGF) I and II were measured and compared in the present study using surface plasmon resonance biosensor technique. Different concentrations of IGFBPs (5-100 nM) were allowed to interact with the immobilized IGF-I or IGF-II on sensor chip surface. Both des(1-3)IGF-I and insulin are known to bind weakly to the IGFBPs and therefore are used as negative controls for the binding experiments. The resultant sensorgrams were analyzed by using simple 1:1 binding model to derive both the association rate (k(a)) and dissociation rate (k(d)) constants for IGFBP-IGF interactions. The k(a) values of IGFBPs are in the range of 1x10(4) to 9x10(5) M(-1) s(-1) for IGF-I and 7x10(3) to 1.7x10(6) M(-1) s(-1) for IGF-II, respectively. The orders of k(a) for both IGF-I and IGF-II are IGFBP-3>IGFBP-5>IGFBP-6>IGFBP-4>IGFBP-2>++ +IGFBP-1. The k(d) values of IGFBPs are in the range of 1.5x10(-5) to 2x10(-4) s(-1) for IGF-I and 3.6x10(-5) to 3.7x10(-4) s(-1) for IGF-II, respectively. The order of k(d) for IGF-I is IGFBP-6>IGFBP-5>IGFBP-4>IGFBP-3>IGFBP-2>++ +IGFBP-1 and that for IGF-II is IGFBP-5>IGFBP-6>IGFBP-2>IGFBP-4>IGFBP-3>++ +IGFBP-1, respectively. The equilibrium affinity constants (K(A)) were calculated based on the ratio of k(a)/k(d) and were more precise than the published literature values based on competitive radioligand binding assays. The systematic study enables a direct comparison on the IGF-binding properties among the various IGFBPs, and the kinetic data provide additional information to delineate the physiological role of different IGFBPs in vivo.