Automated simultaneous determination of mercury and copper in edible oils by reversed-phase column-based extraction with deep eutectic solvent

IF 4 2区 农林科学 Q2 CHEMISTRY, APPLIED
Andrey Shishov , Sergey Savinov , Nipu Kumar Das , Tamal Banerjee , Andrey Bulatov
{"title":"Automated simultaneous determination of mercury and copper in edible oils by reversed-phase column-based extraction with deep eutectic solvent","authors":"Andrey Shishov ,&nbsp;Sergey Savinov ,&nbsp;Nipu Kumar Das ,&nbsp;Tamal Banerjee ,&nbsp;Andrey Bulatov","doi":"10.1016/j.jfca.2024.106919","DOIUrl":null,"url":null,"abstract":"<div><div>In this study, a new automated method for the simultaneous determination of mercury and copper in edible oils using deep eutectic solvents and inductively coupled plasma optical emission spectrometry was developed and tested. The developed method uses a deep eutectic solvent consisting of choline chloride, thiourea and lactic acid to effectively extract mercury and copper from edible oil matrices. The extraction process involves automatically passing an oil sample through a microcolumn with the deep eutectic solvent retained as a stationary phase on glass fiber. This approach significantly reduces sample preparation time and improves reproducibility. The established LODs were 0.13 μg L⁻¹ for mercury and 0.12 μg L⁻¹ for copper, while the LOQs were 0.4 μg L⁻¹ and 0.36 μg L⁻¹, respectively. The method demonstrated high accuracy, with relative standard deviations for repeatability and inter-day reproducibility ranging from 2 % to 9 %. The extraction recovery of both metals exceeded 95 %, confirming the efficiency of the DES-based extraction process. An environmental assessment of the method using the AGREEprep tool showed a favorable environmental index of 0.63.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106919"},"PeriodicalIF":4.0000,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Composition and Analysis","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0889157524009530","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0

Abstract

In this study, a new automated method for the simultaneous determination of mercury and copper in edible oils using deep eutectic solvents and inductively coupled plasma optical emission spectrometry was developed and tested. The developed method uses a deep eutectic solvent consisting of choline chloride, thiourea and lactic acid to effectively extract mercury and copper from edible oil matrices. The extraction process involves automatically passing an oil sample through a microcolumn with the deep eutectic solvent retained as a stationary phase on glass fiber. This approach significantly reduces sample preparation time and improves reproducibility. The established LODs were 0.13 μg L⁻¹ for mercury and 0.12 μg L⁻¹ for copper, while the LOQs were 0.4 μg L⁻¹ and 0.36 μg L⁻¹, respectively. The method demonstrated high accuracy, with relative standard deviations for repeatability and inter-day reproducibility ranging from 2 % to 9 %. The extraction recovery of both metals exceeded 95 %, confirming the efficiency of the DES-based extraction process. An environmental assessment of the method using the AGREEprep tool showed a favorable environmental index of 0.63.
利用反相柱基深共晶溶剂萃取法自动同时测定食用油中的汞和铜
本研究开发并测试了一种利用深共晶溶剂和电感耦合等离子体光学发射光谱法同时测定食用油中汞和铜含量的新型自动化方法。所开发的方法使用由氯化胆碱、硫脲和乳酸组成的深共晶溶剂,可有效地从食用油基质中提取汞和铜。萃取过程中,油样自动通过微柱,玻璃纤维上的深共晶溶剂作为固定相被保留下来。这种方法大大缩短了样品制备时间,并提高了重现性。汞和铜的检出限分别为 0.13 μg L-¹ 和 0.12 μg L-¹,定量限分别为 0.4 μg L-¹ 和 0.36 μg L-¹。该方法准确度高,重复性和日间重现性的相对标准偏差在 2 % 至 9 % 之间。两种金属的萃取回收率均超过 95%,证实了基于 DES 的萃取工艺的效率。使用 AGREEprep 工具对该方法进行的环境评估显示,其环境指数为 0.63。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Food Composition and Analysis
Journal of Food Composition and Analysis 工程技术-食品科技
CiteScore
6.20
自引率
11.60%
发文量
601
审稿时长
53 days
期刊介绍: The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects. The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信