应用微萃取法提取和测定尿样中职业性分析物:综述

Elnaz Taheri, FATEMEH DEHGHANI, Negar Safarpour Khotbesara, N. Kurd
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引用次数: 0

摘要

廉价、简单、高效的微萃取方法是污染物分析中得到广泛认可的样品制备方法。因此,本研究的目的是审查伊朗研究人员关于使用微萃取方法从尿液样本中确定职业分析物的研究。在当前的综述研究中,我们在谷歌Scholar、ISC、SID、Magiran、Web of Science、ScienceDirect、PubMed和Scopus数据库中2000年至2019年伊朗研究人员发表的文章中使用了关键词,包括微提取、确定、提取、分析和尿液样本。然后,根据题目、作者姓名、发表年份、研究方法、研究类型、评价结果对近20年来提取的文章进行分类分析。对所选文章的审查结果进行了几个主题的讨论。包括影响因素、方法效率和提取效率的优化,影响提取性能的参数的优化,优化方法在实际样品中的应用,以及与其他方法的比较。结果表明,所建立的方法快速、简便、溶剂用量少、提取时间短、环境友好,可作为传统方法的替代。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Microextraction Methods to Extract and Determine the Occupational Analytes from Urine Samples: A Brief Review
Inexpensive and simple microextraction methods with high efficiency are highly recognized approaches for sample preparation in the analysis of pollutant compounds. Therefore, the present study was aimed to review the studies conducted by Iranian researchers on the use of microextraction methods to determine the occupational analytes from the urine sample. In the current review study, we used keywords, including microextraction, determine, extract, analytes, and urine samples among published articles by Iranian researchers from 2000 to 2019 in databases of Google Scholar, ISC, SID, Magiran, Web of Science, ScienceDirect, PubMed, and Scopus. Then, the extracted articles during the past 20 years were categorized and analyzed according to the title, author name, publication year, study method, study type, and evaluation results. The results of reviewing the selected articles were discussed in terms of several topics. They included optimization of affecting factors method efficiency and extraction efficiency, optimization of parameters affecting extraction performance, application of the optimized method for real samples, and comparison of the proposed method with other procedures. The developed methods in the selected articles were found to be fast, simple, with minimum solvent consumption, short extraction time, and environmentally friendly that can be used as alternatives to conventional methods.
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