Literature DB >> 31357341

A flexible-imprinted capacitive sensor for rapid detection of adrenaline.

Nancy Yu1, Samuel M Mugo2.   

Abstract

This article demonstrates a non-enzymatic biomimetic adrenaline capacitive sensor fabricated inexpensively by layer-by-layer (LbL) assembly. The LbL assembly consists of polydimethylsiloxane (PDMS) substrate, carbon nanotube-cellulose nanocrystals (CNC/CNT) nanofilms (first layer) with adrenaline imprinted poly (aniline/phenylboronic acid) (pANI/PBA) moieties (second layer). The flexible sensor has been effectively demonstrated for high sensitivity and selectivity in capacitive detection of adrenaline standard and adrenaline in real zebra fish brain sample. The molecularly imprinted adrenaline sensor exhibited linear response between 0.001  μM and 100  μM with a correlation coefficient of 0.9738 and detection limit (LOD) of 0.001  μM. The developed sensor demonstrated high adrenaline selectivity and good sensor to sensor reproducibility of 15.7% for molecularly imprinted films. The sensor precision for triplicate standard runs for different adrenaline concentrations ranged from 0.5 to 5.0%, indicative of the overall reliability and validity of the device. The inexpensive sensor remains stable over time, responding proportionately to doses of adrenaline, and as such effective as a dosimetric sensor for near real time continuous monitoring. Frugal in sample consumption (50 μL), the study suggested the practical utilization of the developed biosensor towards adrenaline detection in biological fluids.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adrenaline imprinted sensor; Biomimetic flexible sensors; Capacitive sensors; Molecular imprinting polymer (MIP)

Year:  2019        PMID: 31357341     DOI: 10.1016/j.talanta.2019.06.016

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  3 in total

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Review 2.  The Progress of Research into Flexible Sensors in the Field of Smart Wearables.

Authors:  Yunlei Yin; Cheng Guo; Hong Li; Hongying Yang; Fan Xiong; Dongyi Chen
Journal:  Sensors (Basel)       Date:  2022-07-06       Impact factor: 3.847

3.  Gecko-Inspired Slant Hierarchical Microstructure-Based Ultrasensitive Iontronic Pressure Sensor for Intelligent Interaction.

Authors:  Yongsong Luo; Xiaoliang Chen; Hongmiao Tian; Xiangming Li; Yangtianyu Lu; Yang Liu; Jinyou Shao
Journal:  Research (Wash D C)       Date:  2022-06-14
  3 in total

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