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基于钴(II)酞菁-多壁碳纳米管修饰碳糊电极的多不饱和脂肪酸电化学检测方法的研究。

Development of a cobalt(II) phthalocyanine- MWCNT modified carbon paste electrode for the detection of polyunsaturated fatty acids.

机构信息

Institute of Pharmaceutical Sciences, Department of Pharmaceutical Chemistry, University of Graz, Schubertstraße 1, 8010, Graz, Austria.

Department of Chemistry, Faculty of Science, Ubon Ratchathani University, Ubon Ratchathani, 34190, Thailand.

出版信息

Anal Chim Acta. 2018 Dec 14;1038:52-58. doi: 10.1016/j.aca.2018.07.033. Epub 2018 Jul 17.

Abstract

In this work the development of an electrochemical sensor for the determination of polyunsaturated fatty acids (PUFAs), in particular linoleic acid, in commercially available safflower oil as complex matrix is described. The sensor consists of a carbon paste electrode with cobalt(II) phthalocyanine, Co(II)Pc, as mediator and multiwalled carbon-nanotubes (MWCNT) as nanomaterial. As carrier medium a sodium borate buffer (0.1 M, pH 9) was used. PUFAs were detected at a working voltage of 0.35-0.45 V (vs. Ag/AgCl). The sensor development was carried out in a batch system with differential pulse voltammetry (DPV) and cyclic voltammetry (CV). Sensor specification was tested by using various fatty acids (stearic acid, oleic acid, linoleic acid, linolenic acid and arachidonic acid) as well as esterified fatty acids, resulting in a specific applicability towards PUFAs, especially linoleic acid (LAH). The optimized sensor was applied in a flow injection analysis system (FIA) for the analysis of PUFAs in complex matrix. Linoleic acid was used as standard substrate to determine the analytical parameters. The linearity ranges between 7.5 and 200 μg mL LAH, while the limit of detection was determined to be 2.5 μg mL and the limit of quantification is approximately 7.5 μg mL LAH. The LAH content was successfully detected in commercially available safflower oil via standard addition method and the results could be confirmed by a reference method. The PUFA content was calculated as LAH-equivalent.

摘要

本工作开发了一种用于测定市售红花油中多不饱和脂肪酸(PUFA),特别是亚油酸的电化学传感器。该传感器由碳糊电极和酞菁钴(Co(II)Pc)作为媒介体以及多壁碳纳米管(MWCNT)作为纳米材料组成。作为载体介质,使用了硼酸钠缓冲液(0.1 M,pH 9)。PUFAs 在工作电压为 0.35-0.45 V(相对于 Ag/AgCl)时进行检测。传感器的开发是在批处理系统中使用差分脉冲伏安法(DPV)和循环伏安法(CV)进行的。通过使用各种脂肪酸(硬脂酸、油酸、亚油酸、亚麻酸和花生四烯酸)以及酯化脂肪酸对传感器进行了规格测试,结果表明该传感器对 PUFAs 具有特异性,特别是亚油酸(LAH)。优化后的传感器应用于复杂基质中 PUFAs 的流动注射分析系统(FIA)。亚油酸被用作标准底物来确定分析参数。线性范围在 7.5 和 200 μg mL LAH 之间,而检测限为 2.5 μg mL,定量限约为 7.5 μg mL LAH。通过标准加入法成功地检测到市售红花油中的 LAH 含量,并且可以通过参考方法确认结果。PUFA 含量以 LAH 当量计算。

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