电子舌格式生物碱电化学多传感器快速分析

Q3 Mathematics
E. M. Petrenko, V. A. Semenova
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引用次数: 0

摘要

本文提出了一种多传感器反演伏安法检测和鉴定样品中生物碱宏量的方法。与现有的使用一组指示电极的多传感器系统相比,所提出的方法设想在单平面三电极系统的表面上形成一系列传感器,在背景电解质中引入一些过渡金属离子并与样品的样品有毒物质形成配合物。每种有机物对多传感器测试系统电化学行为的影响是不同的;因此,使用含有一组不同金属阳离子的电解质溶液作为测试系统成为可能。该方法的优点在于劳动强度低,分析结果可靠,分析效率高。考虑到待鉴定物质的特殊性,优化了电化学测试系统的组成,并确定了表征测试样品中生物碱存在的信息参数。所提出的方法在分析研究中的成功应用导致其在电子舌格式中的实现。根据所进行的研究结果,提出了一种高可靠性的分析方法,可以在实验室和实验室外的条件下检测和鉴定生物碱
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Alkaloids Electrochemical Multisensor Express Analysis in the Electronic Tongue Format
The paper presents a method of multisensor inversion voltammetry to detect and identify the alkaloids macro quantity in a test sample. In contrast to the existing multisensor systems using a set of indicating electrodes, the proposed method envisages a line of sensors formed on the surface of a single planar three-electrode system at introducing in the background electrolyte a number of transition metal ions and forming complexes with the sample toxic substances of the sample. Effect of each organic substance on the electrochemical behavior of the multisensor test system is different; therefore, it becomes possible to use the electrolyte solution containing a set of cations of various metals as the test system. The developed method advantage lies in obtaining reliable results with low labor intensity and in high efficiency of the analysis. Taking into account specifics of the substances under identification, composition of the electrochemical test system was optimized, and information parameters characterizing the alkaloids presence in the test sample were identified. Successful application of the proposed method in analytical studies leads to its implementation in the electronic tongue format. Based on the results of the research conducted, a method of analysis is proposed that with high reliability makes it possible to detect and identify alkaloids both in the laboratory and in the out-of-laboratory conditions
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
40
期刊介绍: The journal is aimed at publishing most significant results of fundamental and applied studies and developments performed at research and industrial institutions in the following trends (ASJC code): 2600 Mathematics 2200 Engineering 3100 Physics and Astronomy 1600 Chemistry 1700 Computer Science.
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