{"title":"Automated simultaneous determination of mercury and copper in edible oils by reversed-phase column-based extraction with deep eutectic solvent","authors":"Andrey Shishov , Sergey Savinov , Nipu Kumar Das , Tamal Banerjee , 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.
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.