Antibody-Coated Wearable Organic Electrochemical Transistors for Cortisol Detection in Human Sweat.
Details
Serval ID
serval:BIB_B5A17281774F
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Antibody-Coated Wearable Organic Electrochemical Transistors for Cortisol Detection in Human Sweat.
Journal
ACS sensors
ISSN
2379-3694 (Electronic)
ISSN-L
2379-3694
Publication state
Published
Issued date
23/09/2022
Peer-reviewed
Oui
Volume
7
Number
9
Pages
2721-2731
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Publication Status: ppublish
Abstract
The dysregulation of the hormone cortisol is related to several pathological states, and its monitoring could help prevent severe stress, fatigue, and mental diseases. While wearable antibody-based biosensors could allow real-time and simple monitoring of antigens, an accurate and low-cost antibody-based cortisol detection through electrochemical methods is considerably challenging due to its low concentration and the high ionic strength of real biofluids. Here, a label-free and fast sensor for cortisol detection is proposed based on antibody-coated organic electrochemical transistors. The developed devices show unprecedented high sensitivities of 50 μA/dec for cortisol sensing in high-ionic-strength solutions with effective cortisol detection demonstrated with real human sweat. The sensing mechanism is analyzed through impedance spectroscopy and confirmed with electrical models. Compared to existing methods requiring bulky and expensive laboratory equipment, these wearable devices enable point-of-care cortisol detection in 5 min with direct sweat collection for personalized well-being monitoring.
Keywords
Antibodies/analysis, Biosensing Techniques/methods, Electrochemical Techniques/methods, Humans, Hydrocortisone/analysis, Sweat/chemistry, Wearable Electronic Devices, antibody, biosensor, cortisol detection, organic electrochemical transistor, sweat analysis, wearable platform
Pubmed
Web of science
Create date
14/09/2022 7:25
Last modification date
07/10/2023 5:57