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基于 SOM 和 TOPSIS 组合的同时分组和排序在食品中呋喃测定的优选分析程序选择中的应用。

Simultaneous grouping and ranking with combination of SOM and TOPSIS for selection of preferable analytical procedure for furan determination in food.

机构信息

Department of Analytical Chemistry, Chemical Faculty, Gdańsk University of Technology (GUT), 11/12G. Narutowicza St., 80-233 Gdańsk, Poland.

Faculty of Chemistry and Pharmacy, University of Sofia "St. Kl. Okhridski", 1, J. Bourchier Blvd., 1164 Sofia, Bulgaria.

出版信息

Talanta. 2018 Feb 1;178:928-933. doi: 10.1016/j.talanta.2017.10.044. Epub 2017 Oct 23.

DOI:10.1016/j.talanta.2017.10.044
PMID:29136918
Abstract

Novel methodology for grouping and ranking with application of self-organizing maps and multicriteria decision analysis is presented. The dataset consists of 22 objects that are analytical procedures applied to furan determination in food samples. They are described by 10 variables, referred to their analytical performance, environmental and economic aspects. Multivariate statistics analysis allows to limit the amount of input data for ranking analysis. Assessment results show that the most beneficial procedures are based on microextraction techniques with GC-MS final determination. It is presented how the information obtained from both tools complement each other. The applicability of combination of grouping and ranking is also discussed.

摘要

提出了一种新的分组和排序方法,应用自组织映射和多准则决策分析。数据集由 22 个对象组成,这些对象是应用于食品样品中呋喃测定的分析程序。它们由 10 个变量描述,涉及分析性能、环境和经济方面。多元统计分析允许限制排名分析的输入数据量。评估结果表明,最有益的程序是基于 GC-MS 最终测定的微萃取技术。本文介绍了如何从这两种工具中获得的信息相互补充。还讨论了组合分组和排序的适用性。

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