Skip to content

Multi-signal gate-array OFET platform for reliable D-Dimer quantification in complex biofluids.

Aug 2026 · Talanta: The International Journal of Pure and Applied Analytical Chemistry · Vol 312 Pt B, pp. 130520 · 0 citations · 47 references
Medicine

TL;DR

A gate-array-based OFET biosensor that improves detection sensitivity, stability, and analytical throughput and introduces a robust platform for high-throughput, multi-target detection in complex biological environments, advancing next-generation biomedical diagnostics and personalized healthcare.

Abstract

Real-time, high-sensitivity biosensors are essential for personalized healthcare, enabling early disease diagnosis and continuous monitoring. Organic field-effect transistor (OFET) sensors offer label-free detection, rapid response, and low cost, but noise interference and inherent architectural limitations hinder their use in high-throughput, multi-signal analysis. To address these issues, this study presents a gate-array-based OFET biosensor that improves detection sensitivity, stability, and analytical throughput. The integrated gate-array architecture and signal modulation strategies enable rapid acquisition of multiple transfer curves for efficient concentration analysis of unknown samples. To validate the approach, the sensor detects the thrombotic biomarker D-Dimer with an ultra-low limit of 0.354 ng/mL in PBS, well below clinical thresholds, and performs reliably in human serum and patient samples. This work introduces a robust platform for high-throughput, multi-target detection in complex biological environments, advancing next-generation biomedical diagnostics and personalized healthcare.

View source

Similar papers

Sep 2026

Sample-to-Answer Serum Diagnostics System-on-Chip.

Integrating multiple bioanalytical functions onto a single chip for point-of-care protein detection remains challenging. Here, we introduce a biological detection system-on-chip (BDSoC) that merges the purification capabilities of microfluidic chips with the detection sensitivity of carbon nanotube (CNT) field-effect t...

Zi-Jun Zhao, Lu Wan, Ke-Min Wang et al. · 0 citations
Open access Aug 2026

Yes/No Quantitative Analysis of Single-Stranded Oligonucleotides with Lateral Flow Assays

Accessible molecular diagnostics is fundamental to effective healthcare. While most current point-of-care devices detect only the presence of a molecular biomarker(s), biomarker quantification can be equally important for decision-making on disease treatment and containment. Here, we present a diagnostic platform that...

Niusha Hassandoost, Leslie Munoz, Kerrigan Kotecki et al. · 0 citations
Sep 2026

An Internal-Standard-Integrated Digital SERS Immunoassay for Accurate and Precise Trace-Level Cytokine Quantification in Plasma

Accurate and precise quantification of trace-level cytokines in complex biological matrices remains challenging, limiting their use as longitudinal biomarkers in clinical studies. Here, we present a nanotechnology-enabled surface-enhanced Raman scattering (SERS) platform incorporating an internal standard (IS) for di...

Yi-Wen Zhang, Fahimeh Farokhinejad, Jacob J. Crouse et al. · 0 citations
Review Aug 2026

Nanomaterial-enabled bioanalytical sensing for doping detection: a critical review of signal transduction, matrix effects, and translation barriers.

A matrix-oriented framework for assessing the translational potential of nanomaterial-enabled anti-doping sensors is defined, linking material design, sensing format, matrix-specific validation, and practical deployment requirements.

Shaoquan Chu, Qiyuan Jing · 0 citations
Oct 2026

Size/Color Dual-Encoded Electrochemiluminescence for Multiplexed Immunoassay of Cardiac Biomarkers

Electrochemiluminescence immunoassay (ECLIA) is a powerful analytical method for protein biomarker detection, and plays a critical role in early disease diagnosis and clinical monitoring. However, conventional ECLIA is limited by poor multiplexing capacity, typically allowing only single-target measurement per run. H...

Wei-Yu Qu, Chun-Yan Liu, Li Shen et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.