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Sensitive and selective electrochemical sensor for serotonin detection based on ferrocene-gold nanoparticles decorated multiwall carbon nanotubes

碳纳米管 胶体金 材料科学 纳米复合材料 抗坏血酸 电化学气体传感器 二茂铁 纳米颗粒 检出限 电化学 循环伏安法 核化学 电极 纳米技术 化学 色谱法 物理化学 食品科学
作者
Bo Wu,Sanjida Yeasmin,Ye Liu,Li‐Jing Cheng
出处
期刊:Sensors and Actuators B-chemical [Elsevier BV]
卷期号:354: 131216-131216 被引量:87
标识
DOI:10.1016/j.snb.2021.131216
摘要

Serotonin, or 5-hydroxytryptamine (5-HT), is a neurotransmitter that plays a crucial role in neural activities. 5-HT deficiency is clinically related to several psychiatric disorders. Therefore, sensitive 5-HT detection is critical in the diagnosis of diseases associated with neurological disorders. Here we developed a sensitive electrochemical sensor utilizing ferrocene covalently linked gold nanoparticles on multiwall carbon nanotubes (FeC-AuNPs-MWCNT), electrocatalytic nanocomposites, to enhance 5-HT detection. FeC-AuNPs-MWCNT modified screen-printed carbon electrodes (SPCEs) provide catalytic activity towards 5-HT oxidation from both FeC and AuNPs along with the high conductance from the carbon nanotube network. The FeC-AuNPs-MWCNT was synthesized by chemically reducing AuNPs on MWCNT surfaces and covalently attaching FeC to the AuNPs. Square wave voltammetry analyses confirmed that the electrocatalytic nanocomposite modified electrodes improved the electrocatalytic activity towards 5-HT oxidation, 61 times higher than the unmodified SPCE. The sensor exhibited a sensitive response to 5-HT over a wide dynamic range from 0.05 µM to 20 µM, a limit of detection of 17 nM (S/N = 3), excellent reproducibility, and high selectivity towards 5-HT against several interferers, including ascorbic acid, urea, uric acid, dopamine, and glucose. The sensor was successfully demonstrated to detect sub-µM 5-HT in urine samples with satisfactory recoveries (98.3–104.9%) and a low relative standard deviation of less than 3%. This sensitive, selective, and cost-effective electrochemical sensor shows great promise in direct 5-HT analysis for clinical applications.
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