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我们应该考虑绿色分析化学还是白色分析化学?案例研究:使用超声浴加速样品制备以同时测定牛肉中的锰和铁。

Should we think about green or white analytical chemistry? Case study: Accelerated sample preparation using an ultrasonic bath for the simultaneous determination of Mn and Fe in beef.

作者信息

Silva Javier, Bühl Valery, Iaquinta Fiorella, Pistón Mariela

机构信息

Graduate Program in Chemistry, Facultad de Química, Universidad de la República, Avda. Gral. Flores 2124, Montevideo, Uruguay.

Grupo de Análisis de Elementos Traza y Desarrollo de Estrategias Simples para Preparación de Muestras (GATPREM), Química Analítica (DEC), Facultad de Química, Universidad de la República, Avda. Gral. Flores 2124, Montevideo, Uruguay.

出版信息

Heliyon. 2023 Oct 13;9(10):e20967. doi: 10.1016/j.heliyon.2023.e20967. eCollection 2023 Oct.

DOI:10.1016/j.heliyon.2023.e20967
PMID:37867882
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10589838/
Abstract

Green Analytical Chemistry (GAC) metrics include a variety of criteria, such as the regent amounts and toxicity, energy consumption, generated waste, among others. The analytical greenness metric (AGREE) and its variant for sample preparation (AGREEprep) cover different aspects that contribute to the environmental sustainability of sample preparation. White Analytical Chemistry (WAC) considers not only environmental aspects but also analytical and practical aspects with a holistic vision based on a Red-Green-Blue color model. A case study is presented to assess the green and white profile of a method based on ultrasound-assisted extraction and determination of Mn and Fe in beef using microwave-induced plasma atomic emission spectroscopy (MP AES). The method was validated and resulted simple, fast without external heating using diluted acids. It was concluded that we should think in green sample preparation with the AGREEprep tool, as well as in white holistic assessments (WAC) as both constitute complementary tools.

摘要

绿色分析化学(GAC)指标包括多种标准,如试剂用量和毒性、能源消耗、产生的废物等。分析绿色度指标(AGREE)及其用于样品制备的变体(AGREEprep)涵盖了有助于样品制备环境可持续性的不同方面。白色分析化学(WAC)不仅考虑环境方面,还基于红-绿-蓝颜色模型从整体视角考虑分析和实际方面。本文通过一个案例研究,评估了一种基于超声辅助萃取并使用微波诱导等离子体原子发射光谱法(MP AES)测定牛肉中锰和铁的方法的绿色和白色特征。该方法经过验证,结果表明其简单、快速,无需外部加热且使用稀酸。得出的结论是,我们应该使用AGREEprep工具进行绿色样品制备的思考,同时也要进行白色整体评估(WAC),因为这两者构成了互补工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d52/10589838/7e0910fc61cc/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d52/10589838/d6194e297f76/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d52/10589838/995de371b9f2/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d52/10589838/bbaeca119d8b/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d52/10589838/7e0910fc61cc/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d52/10589838/d6194e297f76/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d52/10589838/995de371b9f2/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d52/10589838/bbaeca119d8b/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d52/10589838/7e0910fc61cc/gr4.jpg

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