Literature DB >> 28923558

Highly selective and sensitive sensor based on an organic electrochemical transistor for the detection of ascorbic acid.

Lijun Zhang1, Guiheng Wang1, Di Wu1, Can Xiong2, Lei Zheng2, Yunsheng Ding3, Hongbo Lu4, Guobing Zhang4, Longzhen Qiu5.   

Abstract

In this study, an organic electrochemical transistor sensor (OECT) with a molecularly imprinted polymer (MIP)-modified gate electrode was prepared for the detection of ascorbic acid (AA). The combination of the amplification function of an OECT and the selective specificity of MIPs afforded a highly sensitive, selective OECT sensor. Cyclic voltammetry and electrochemical impedance spectroscopy measurements were carried out to monitor the stepwise fabrication of the modified electrodes and the adsorption capacity of the MIP/Au electrodes. Atomic force microscopy was employed for examining the surface morphology of the electrodes. Important detection parameters, pH and detection temperature were optimized. With the change in the relative concentration of AA from 1μM to 100μM, the MIP-OECT sensor exhibited a low detection limit of 10nM (S/N > 3) and a sensitivity of 75.3μA channel current change per decade under optimal conditions. In addition, the MIP-OECT sensor exhibited excellent specific recognition ability to AA, which prevented the interference from other structurally similar compounds (e.g., aspartic acid, glucose, uric acid, glycine, glutathione, H2O2), and common metal ions (K+, Na+, Ca2+, Mg2+, and Fe2+). In addition, a series of vitamin C beverages were analyzed to demonstrate the feasibility of the MIP-OECT sensor. Using the proposed principle, several other sensors with improved performance can be constructed via the modification of organic electrochemical transistors with appropriate MIP films.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Ascorbic acid sensor; Molecularly imprinted polymers; Organic electrochemical transistors; Sensor selectivity; Sensor sensitivity

Mesh:

Substances:

Year:  2017        PMID: 28923558     DOI: 10.1016/j.bios.2017.09.006

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  6 in total

1.  Electronic Cortisol Detection Using an Antibody-Embedded Polymer Coupled to a Field-Effect Transistor.

Authors:  Hyun-June Jang; Taein Lee; Jian Song; Luisa Russell; Hui Li; Jennifer Dailey; Peter C Searson; Howard E Katz
Journal:  ACS Appl Mater Interfaces       Date:  2018-05-03       Impact factor: 9.229

2.  Design and synthesis of stable indigo polymer semiconductors for organic field-effect transistors with high fluoride sensitivity and selectivity.

Authors:  Jenner H L Ngai; George Y Chang; Xiguang Gao; Xiaocheng Zhou; Arthur D Hendsbee; Yuning Li
Journal:  RSC Adv       Date:  2019-08-21       Impact factor: 4.036

3.  Direct metabolite detection with an n-type accumulation mode organic electrochemical transistor.

Authors:  Anna Maria Pappa; David Ohayon; Alexander Giovannitti; Iuliana Petruta Maria; Achilleas Savva; Ilke Uguz; Jonathan Rivnay; Iain McCulloch; Róisín M Owens; Sahika Inal
Journal:  Sci Adv       Date:  2018-06-22       Impact factor: 14.136

4.  Preparation of Electrochemical Sensor Based on Zinc Oxide Nanoparticles for Simultaneous Determination of AA, DA, and UA.

Authors:  Yuanzhi Pan; Junli Zuo; Zhongyu Hou; Yizhong Huang; Cancan Huang
Journal:  Front Chem       Date:  2020-11-25       Impact factor: 5.221

Review 5.  Electrochemically Deposited Molecularly Imprinted Polymer-Based Sensors.

Authors:  Simonas Ramanavičius; Inga Morkvėnaitė-Vilkončienė; Urtė Samukaitė-Bubnienė; Vilma Ratautaitė; Ieva Plikusienė; Roman Viter; Arūnas Ramanavičius
Journal:  Sensors (Basel)       Date:  2022-02-08       Impact factor: 3.576

6.  Ultrasensitive determination of ascorbic acid by using cobalt oxyhydroxide nanosheets to enhance the chemiluminescence of the luminol-H2O2 system.

Authors:  Huihui Xu; Qiyong Cai; Qiuyu Nie; Zhun Qiao; Song Liu; Zhaohui Li
Journal:  RSC Adv       Date:  2018-06-29       Impact factor: 3.361

  6 in total

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