Kafi, M. A., Paul, A., Vilouras, A. and Dahiya, R. (2020) Mesoporous chitosan based conformable and resorbable biostrip for Dopamine detection. Biosensors and Bioelectronics, 147, 111781. (doi: 10.1016/j.bios.2019.111781) (PMID:31629214)
|
Text
199796.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. 1MB |
Abstract
This work presents a chitosan based resorbable biostrip for label-free electrochemical detection of dopamine (DA).The biostrip consists of mesoporous-chitosan-graphene oxide (m-Chit-GO) composite-based sensing electrode and graphene-based interconnects. Obtained with particulate leaching, the m-chit-GO showed average pore size of 1μmwith slow (2 h) curing process. The response of DA on m-Chit-GO was investigated and compared with their bulk counterpart to study the effect of mesoporosity on voltammogram output signals. The voltammetric investigations were performed with three-electrode set-up using m-Chit-GO electrode as working electrode whereas Ag/AgCl and Graphene were used as a reference and counter electrodes, respectively. The quantitative analysis of concentration-dependent voltammetric peak-current enhancement revealed significantly higher response for m-Chit-GO (10pM) as compared to their bulk state (100 nM) on DA. The presented resorbable biostrip offers a limit of detection of 10pM and thereby shows great promise for detection of DA levels for early diagnosis of neurodegenerative diseases.
Item Type: | Articles |
---|---|
Additional Information: | This work was supported in part by the European Commission through Marie Curie Fellowship (H2020-MSCA-IF-2015-704807), the Academy of Medical Sciences (NF161567) and EPSRC through Engineering Fellowship for Growth - (EP/M002527/1 and EP/R029644/1). |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Vilouras, Anastasios and Kafi, Md Abdul and Dahiya, Professor Ravinder and Paul, Dr Ambarish |
Authors: | Kafi, M. A., Paul, A., Vilouras, A., and Dahiya, R. |
College/School: | College of Science and Engineering College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
Journal Name: | Biosensors and Bioelectronics |
Publisher: | Elsevier |
ISSN: | 0956-5663 |
ISSN (Online): | 0956-5663 |
Published Online: | 11 October 2019 |
Copyright Holders: | Copyright © 2019 Elsevier B.V. |
First Published: | First published in Biosensors and Bioelectronics 147: 111781 |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
University Staff: Request a correction | Enlighten Editors: Update this record