Non-invasive, ultrasensitive detection of glucose in saliva using metal oxide transistors

Copyright © 2023 Elsevier B.V. All rights reserved..

Transistor-based biosensors represent an emerging technology for inexpensive point-of-care testing (POCT) applications. However, the limited sensitivity of the current transistor technologies hinders their practical deployment. In this study, we developed tri-channel In2O3/ZnO heterojunction thin-film transistors (TFTs) featuring the surface-immobilized enzyme glucose oxidase to detect glucose in various biofluids. This unusual channel design facilitates strong coupling between the electrons transported along the buried In2O3/ZnO heterointerface and the electrostatic perturbations caused by the interactions between glucose and surface-immobilized glucose oxidase. The enzyme selectively binds to glucose, causing a change in charge density on the channel surface. By exploring this effect, the solid-state biosensing TFT (BioTFT) can selectively detect glucose in artificial and real saliva over a wide range of concentrations from 500 nM to 20 mM with limits of detection of ∼365 pM (artificial saliva) and ∼416 nM (real saliva) in less than 60 s. The specificity of the sensor towards glucose has been demonstrated against various interfering species in artificial saliva, further highlighting its unique capabilities. Moreover, the BioTFTs exhibited good operating stability upon storage for up to two weeks, with relative standard deviation (RSD) values ranging from 2.36% to 6.39% for 500 nM glucose concentration. Our BioTFTs are easy to manufacture with reliable operation, making them ideal for non-invasive POCT applications.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:237

Enthalten in:

Biosensors & bioelectronics - 237(2023) vom: 01. Okt., Seite 115448

Sprache:

Englisch

Beteiligte Personen:

Sharma, Abhinav [VerfasserIn]
AlGhamdi, Wejdan S [VerfasserIn]
Faber, Hendrik [VerfasserIn]
Lin, Yen-Hung [VerfasserIn]
Liu, Chien-Hao [VerfasserIn]
Hsu, En-Kai [VerfasserIn]
Lin, Wei-Zhi [VerfasserIn]
Naphade, Dipti [VerfasserIn]
Mandal, Suman [VerfasserIn]
Heeney, Martin [VerfasserIn]
Anthopoulos, Thomas D [VerfasserIn]

Links:

Volltext

Themen:

EC 1.1.3.4
Glucose
Glucose Oxidase
IY9XDZ35W2
Journal Article
Metal oxide transistor
Non-invasive glucose sensor
Oxides
SOI2LOH54Z
Saliva
Saliva, Artificial
Thin-film transistor
Transistor biosensor
Zinc Oxide

Anmerkungen:

Date Completed 14.08.2023

Date Revised 14.08.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.bios.2023.115448

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM358496144