用醇基深度共晶溶剂消解ICP-OES测定谷物和生物强化样品中的硒

IF 5.2 Q1 CHEMISTRY, ANALYTICAL
Masixole Sihlahla , Anele Mpupa , Marcin Sojka , Agnieszka Saeid , Philiswa Nosizo Nomngongo
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引用次数: 0

摘要

深共晶溶剂作为绿色溶剂在分析化学中的应用越来越受到关注。本研究提出了一种简单、环保、经济高效的食品样品硒提取方法。提取方法利用醇基DES和电感耦合等离子体发射光谱法(ICP-OES)测定总硒。通过实验设计优化了影响提取过程的因素。使用最佳条件,所开发方法的检测限(LOD)、定量限(LOQ)和线性度分别为0.0011µg Se/g、0.0037µg Seg/g和0.004–0.20µg Se/g。用相对标准偏差表示的精密度小于10%。使用经认证的参考材料(IRMM 804米粉和NIST SRM 1567b小麦粉)对该方法的准确性进行了研究,结果与认证值(0.038µg/g和1.14µg/g)非常一致,回收率在89.5%至106%之间。日内(%RSD)和日内(%RSD)分别为2.8–5.4%和4.3–5.9%。使用NEMI、AES和AGREE度量工具评估该方法的绿色性。在比较所有这些工具时,他们都认为所提出的方法是绿色的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Determination of selenium in cereal and biofortified samples by ICP-OES using an alcohol-based deep eutectic solvent in digestion procedure

Determination of selenium in cereal and biofortified samples by ICP-OES using an alcohol-based deep eutectic solvent in digestion procedure

The application of deep eutectic solvents (DESs) as green solvents in analytical chemistry has attracted increasing attention. The present study presents a simple, eco-friendly, and cost-effective approach for the extraction of selenium (Se) in food samples. The extraction method utilised alcohol-based DES and inductively coupled plasma optical emission spectrometry (ICP-OES) to determine total Se. Factors affecting the extraction procedure were optimised using the design of experiments. Using the optimal conditions, the limits of detection (LOD) and quantification (LOQ) and linearity of the developed method were 0.0011 µg Se/g, 0.0037 µg Se/g and 0.004–0.20 µg Se/g, respectively. The precision expressed as relative standard deviations (RSDs) was less than 10 %. The accuracy of the method was investigated using certified reference materials (IRMM 804 Rice Flour and NIST SRM 1567b wheat flour), and the results were in close agreement with the certified values (0.038 µg/g and 1.14 µg/g) with percentage recoveries ranging from 89.5 to 106 %. The interday ( %RSD) and Intraday ( %RSD) were 2.8–5.4 % and 4.3–5.9 %, respectively. The greenness of the method was assessed using NEMI, AES, and AGREE metrics tools. When comparing all these tools, they all qualified the proposed method as green.

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