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Label-Free Metal-Oxide Transistor Biosensors for Metabolite Detection in Human Saliva.

Authors :
Sharma A
Faber H
AlGhamdi WS
Naphade D
Lin YH
Heeney M
Anthopoulos TD
Source :
Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2024 Jul; Vol. 11 (27), pp. e2306038. Date of Electronic Publication: 2024 Feb 21.
Publication Year :
2024

Abstract

Metabolites are essential molecules involved in various metabolic processes, and their deficiencies and excessive concentrations can trigger significant physiological consequences. The detection of multiple metabolites within a non-invasively collected biofluid could facilitate early prognosis and diagnosis of severe diseases. Here, a metal oxide heterojunction transistor (HJ-TFT) sensor is developed for the label-free, rapid detection of uric acid (UA) and 25(OH)Vitamin-D3 (Vit-D3) in human saliva. The HJ-TFTs utilize a solution-processed In <subscript>2</subscript> O <subscript>3</subscript> /ZnO channel functionalized with uricase enzyme and Vit-D3 antibody for the selective detection of UA and Vit-D3, respectively. The ultra-thin tri-channel architecture facilitates strong coupling between the electrons transported along the buried In <subscript>2</subscript> O <subscript>3</subscript> /ZnO heterointerface and the electrostatic perturbations caused by the interactions between the surface-immobilized bioreceptors and target analytes. The biosensors can detect a wide range of concentrations of UA (from 500 nm to 1000 µM) and Vit-D3 (from 100 pM to 120 nm) in human saliva within 60 s. Moreover, the biosensors exhibit good linearity with the physiological concentration of metabolites and limit of detections of ≈152 nm for UA and ≈7 pM for Vit-D3 in real saliva. The specificity is demonstrated against various interfering species, including other metabolites and proteins found in saliva, further showcasing its capabilities.<br /> (© 2024 The Authors. Advanced Science published by Wiley‐VCH GmbH.)

Details

Language :
English
ISSN :
2198-3844
Volume :
11
Issue :
27
Database :
MEDLINE
Journal :
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Publication Type :
Academic Journal
Accession number :
38381100
Full Text :
https://doi.org/10.1002/advs.202306038