分析化学中绿色度及相关度量工具的正确选择指南——教程
Guidelines on the proper selection of greenness and related metric tools in analytical chemistry - a tutorial.
作者信息
Yahya Lutfi Andre, Vakh Christina, Dushna Olha, Kalisz Oktawia, Bocian Szymon, Tobiszewski Marek
机构信息
Department of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology (GUT), ul. G. Narutowicza 11/12, 80-233, Gdańsk, Poland.
Department of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology (GUT), ul. G. Narutowicza 11/12, 80-233, Gdańsk, Poland; EcoTech Center, Gdańsk University of Technology (GUT), ul. G. Narutowicza 11/12, 80-233, Gdańsk, Poland.
出版信息
Anal Chim Acta. 2025 Jul 1;1357:344052. doi: 10.1016/j.aca.2025.344052. Epub 2025 Apr 12.
BACKGROUND
The metric tools that aim to assess greenness, whiteness or related aspects of analytical procedures are gaining in popularity. At the same time, their application is not standardized, leading to unintentional abuses.
RESULTS
Within this study, two datasets were created, consisting of the greenness assessment results for 27 (for general assessment) and 3 (for reproducibility study) analytical procedures, obtained with available greenness and related metric tools. The first dataset was assessed with multivariate statistical tools, and the analysis shows that metric tools give correlated results. The second dataset was used to calculate the reproducibility of metric tools results.
SIGNIFICANCE AND NOVELTY
Based on the results of multivariate statistics and reproducibility analyses, we propose guidelines for the application of metric tools. Obeying these guidelines will result in a more standardized approach to assessment, consistency of results, and drawing more meaningful conclusions.
背景
旨在评估分析程序的绿色度、白度或相关方面的度量工具越来越受欢迎。与此同时，它们的应用尚未标准化，导致了无意的滥用。
结果
在本研究中，创建了两个数据集，其中一个由27种（用于一般评估）和3种（用于重现性研究）分析程序的绿色度评估结果组成，这些结果是使用现有的绿色度及相关度量工具获得的。第一个数据集使用多元统计工具进行评估，分析表明度量工具给出的结果具有相关性。第二个数据集用于计算度量工具结果的重现性。
意义和新颖性
基于多元统计和重现性分析的结果，我们提出了度量工具的应用指南。遵循这些指南将导致更标准化的评估方法、结果的一致性，并得出更有意义的结论。
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