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一种基于氧化纤维素纳米原纤修饰固相碳电极的一次性多巴胺传感器。

A Disposable Dopamine Sensor Based on Oxidized Cellulose Nanofibril-Modified SPCE.

作者信息

Boussema Feriel, Bourigua Sondes, Jebali Zayneb, Majdoub Hatem, Jaffrezic-Renault Nicole, Ben Halima Hamdi

机构信息

Laboratory of Interfaces and Advanced Materials, Faculty of Sciences, University of Monastir, Monastir 5000, Tunisia.

Department of Chemistry, College of Science, Qassim University, Buraidah 51452, Saudi Arabia.

出版信息

Micromachines (Basel). 2025 Jun 25;16(7):743. doi: 10.3390/mi16070743.

Abstract

Dopamine is a major catecholamine neurotransmitter that plays an essential role in the functioning of the human central nervous system. Imbalances in dopamine levels are associated with neurological disorders and depression. Thus, measuring the concentration of DA in human body fluids is significantly important. In this work, TEMPO-oxidized cellulose nanofibrils (TOCNFs) extracted from marram grass (), harvested in the central western part of Tunisia, were utilized to modify disposable screen-printed carbon electrodes (SPCEs) for the sensitive detection of dopamine in biological fluids. Differential pulse voltammetry (DPV) measurements displayed a sensitivity of 7.92 µA/µM and a detection limit of 10 nM. The disposable TOCNF-modified SPCE presents a charge transfer coefficient, α, comparable to that of a TOCNF/graphene/AgNP composite-modified GCE. Moreover, it exhibits good repeatability (RSD = 1.9%), good reproducibility (RSD = 2.3%), and appreciable storage stability (91% of its initial response after 3 weeks). The prepared disposable sensor showed satisfactory recovery of dopamine in human urine samples.

摘要

多巴胺是一种主要的儿茶酚胺神经递质,在人类中枢神经系统的功能中起着至关重要的作用。多巴胺水平的失衡与神经紊乱和抑郁症有关。因此,测量人体体液中多巴胺的浓度非常重要。在这项工作中,从突尼斯中西部收获的滨草中提取的TEMPO氧化纤维素纳米纤维(TOCNF)被用于修饰一次性丝网印刷碳电极(SPCE),以灵敏检测生物体液中的多巴胺。差分脉冲伏安法(DPV)测量显示灵敏度为7.92 µA/µM,检测限为10 nM。一次性TOCNF修饰的SPCE的电荷转移系数α与TOCNF/石墨烯/AgNP复合修饰的玻碳电极(GCE)相当。此外,它具有良好的重复性(RSD = 1.9%)、良好的重现性(RSD = 2.3%)和可观的储存稳定性(3周后其初始响应的91%)。所制备的一次性传感器在人体尿液样本中对多巴胺的回收率令人满意。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55b7/12300722/6b6e2a254884/micromachines-16-00743-g001.jpg

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