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差分脉冲伏安法和计时电流法作为使用基于酪氨酸酶的电化学生物传感器检测肾上腺素的分析工具。

Differential pulse voltammetry and chronoamperometry as analytical tools for epinephrine detection using a tyrosinase-based electrochemical biosensor.

作者信息

Baluta Sylwia, Meloni Francesca, Halicka Kinga, Szyszka Adam, Zucca Antonio, Pilo Maria Itria, Cabaj Joanna

机构信息

Faculty of Chemistry, Wrocław University of Science and Technology Wybrzeże Wyspiańskiego 27 50-370 Wrocław Poland

Department of Chemistry and Pharmacy, University of Sassari Via Vienna 2 07100 Sassari Italy.

出版信息

RSC Adv. 2022 Sep 6;12(39):25342-25353. doi: 10.1039/d2ra04045j. eCollection 2022 Sep 5.

Abstract

The main goal of the presented study was to design a biosensor-based system for epinephrine (EP) detection using a poly-thiophene derivative and tyrosinase as a biorecognition element. We compared two different electroanalytical techniques to select the most prominent technique for analyzing the neurotransmitter. The prepared biosensor system exhibited good parameters; the differential pulse (DPV) technique presented a wide linear range (1-20 μM and 30-200 μM), with a low detection limit (0.18 nM and 1.03 nM). In the case of chronoamperometry (CA), a high signal-to-noise ratio and lower reproducibility were observed, causing a less broad linear range (10-200 μM) and a higher detection limit (125 nM). Therefore, the DPV technique was used for the calculation of sensitivity (0.0011 μA mM cm), stability (49 days), and total surface coverage (4.18 × 10 mol cm). The biosensor also showed very high selectivity in the presence of common interfering species ( ascorbic acid, uric acid, norepinephrine, dopamine) and was successfully applied for EP determination in a pharmaceutical sample.

摘要

本研究的主要目标是设计一种基于生物传感器的系统,用于使用聚噻吩衍生物和酪氨酸酶作为生物识别元件来检测肾上腺素(EP)。我们比较了两种不同的电分析技术,以选择用于分析神经递质的最突出技术。所制备的生物传感器系统表现出良好的参数;差分脉冲伏安法(DPV)技术呈现出较宽的线性范围(1 - 20 μM和30 - 200 μM),检测限较低(0.18 nM和1.03 nM)。在计时电流法(CA)的情况下,观察到较高的信噪比和较低的重现性,导致线性范围较窄(10 - 200 μM)且检测限较高(125 nM)。因此,DPV技术用于计算灵敏度(0.0011 μA mM cm)、稳定性(49天)和总表面覆盖率(4.18 × 10 mol cm)。该生物传感器在常见干扰物质(如抗坏血酸、尿酸、去甲肾上腺素、多巴胺)存在下也表现出非常高的选择性,并成功应用于药物样品中EP的测定。

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