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基于壳聚糖修饰的金纳米粒子的电化学传感器与伏安电子舌结合,用于定量检测人体生理液和片剂中的阿司匹林。

An electrochemical sensor based on chitosan capped with gold nanoparticles combined with a voltammetric electronic tongue for quantitative aspirin detection in human physiological fluids and tablets.

机构信息

Sensor Electronic & Instrumentation Group, Department of Physics, Faculty of Sciences, Moulay Ismaïl University of Meknes, B.P. 11201, Zitoune, Meknes, Morocco.; Biotechnology Agroalimentary and Biomedical Analysis Group, Department of Biology, Faculty of Sciences, Moulay Ismaïl University of Meknes, B.P. 11201, Zitoune, 50003 Meknes, Morocco.

School of arts and humanities, Moulay Ismaïl University of Meknes, Morocco.

出版信息

Mater Sci Eng C Mater Biol Appl. 2020 May;110:110665. doi: 10.1016/j.msec.2020.110665. Epub 2020 Jan 15.

DOI:10.1016/j.msec.2020.110665
PMID:32204094
Abstract

Inflammatory diseases increase has recently sparked the research interest for drugs diagnostic tools development. At therapeutic doses, acetylsalicylic acid (ASA or aspirin) is widely used for these diseases' treatment. ASA overdoses can however give rise to adverse side effects including ulcers, gastric damage. Hence, development of simple, portable and sensitive methods for ASA detection is desirable. This paper reports aspirin analysis in urine, saliva and pharmaceutical tablet using an electrochemical sensor and a voltammetric electronic tongue (VE-Tongue). The electrochemical sensor was fabricated by self-assembling chitosan capped with gold nanoparticles (Cs + AuNPs) on a screen-printed carbon electrode (SPCE). It exhibits a logarithmic-linear relationship between its response and the ASA concentration in the range between 1 pg/mL and 1 μg/mL. A low detection limit (0.03 pg/mL), good selectivity against phenol and benzoic acid interference, and successful practical application were demonstrated. Qualitative analysis was performed using the VE-Tongue based unmodified metal electrodes combined with two chemometric approaches to classify urine samples spiked with different aspirin concentrations. Partial least squares (PLS) method provided prediction models obtained from the data of both devices with a regression correlation coefficient R = 0.99. Correspondingly, the SPCE/(Cs + AuNPs) electrochemical sensor and VE-Tongue could be viable tools for biological analysis of drugs.

摘要

近年来,炎症性疾病的增加引发了人们对药物诊断工具开发的研究兴趣。在治疗剂量下,乙酰水杨酸(ASA 或阿司匹林)被广泛用于这些疾病的治疗。然而,ASA 过量会引起不良反应,包括溃疡、胃损伤。因此,开发简单、便携和灵敏的 ASA 检测方法是可取的。本文报道了使用电化学传感器和伏安电子舌(VE-Tongue)分析尿液、唾液和药片中的阿司匹林。电化学传感器是通过将壳聚糖与金纳米粒子(Cs+AuNPs)自组装在丝网印刷碳电极(SPCE)上制成的。它在 1 pg/mL 至 1 μg/mL 范围内,其响应与 ASA 浓度之间呈对数线性关系。该传感器具有低检测限(0.03 pg/mL)、对苯酚和苯甲酸干扰的良好选择性,以及成功的实际应用。使用未经修饰的金属电极和两种化学计量学方法对 VE-Tongue 进行定性分析,以对不同阿司匹林浓度的尿液样本进行分类。偏最小二乘法(PLS)方法提供了基于两个设备数据的预测模型,回归相关系数 R=0.99。相应地,SPCE/(Cs+AuNPs)电化学传感器和 VE-Tongue 可以成为药物生物分析的可行工具。

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