Spectrophotometric determination of zinc in blood and food samples using an air-assisted rapid synergistic-cloud point extraction method based on deep eutectic solvents

IF 4 2区农林科学 Q2 CHEMISTRY, APPLIED

Journal of Food Composition and Analysis Pub Date : 2024-10-28 DOI:10.1016/j.jfca.2024.106910

Azhar Y.M. Al-Murshedi , Ghusoon Jawad Shabaa , Ebaa Adnan Azooz , Ibrahim A. Naguib , Hameed Ul Haq , Nidhal K. El Abbadi , Denys Snigur

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Abstract

At room temperature, an air-assisted rapid synergistic cloud point extraction (AA-RS-CPE) method based on deep eutectic solvent (DES) was presented to determine Zn (II) traces in various samples. Nonanoic acid and L-menthol formed the synergistic reagent (DES) in a 2:1 mol ratio to reduce both time and cloud point temperature. Air cycles were used to maximize recovery and accelerate cloudy solution formation. The 4,4-dimethyl-2,6-dioxo-N-phenylcyclohexanecarbothioamide (DDPCCTA) and TritonX-100 were used as ligand and surfactant, respectively. The validation parameters, including the calibration curve linearity (0.2–900 µg L⁻¹), the limit of detection (LOD = 0.10 µg L⁻¹), the enhancement factor (EF = 120), and the preconcentration factor (PE = 100), were calculated. Additionally, the accuracy of the AA-RS-DES-CPE approach was proved by two certified reference materials (CRMs). Finally, the three greenness tools, the Blue Applicability Grade Index (BAGI), the Sample Preparation Metric of Sustainability (SPMS), and the Analytical Greenness Metric for Sample Preparation (AGREEprep), were used to evaluate the environmental sustainability values, health hazards, and applicability of this method. This approach was improved to be safer and more environmentally friendly than existing methods, with high application potential.

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利用基于深共晶溶剂的空气辅助快速协同云点萃取法，用分光光度法测定血液和食品样品中的锌含量

在室温下，提出了一种基于深共晶溶剂（DES）的空气辅助快速协同浊点萃取（AA-RS-CPE）方法，用于测定各种样品中的锌（II）痕量。壬酸和 L-薄荷醇以 2:1 的摩尔比组成协同试剂（DES），从而缩短了时间并降低了浊点温度。使用空气循环最大限度地提高回收率并加速浊溶液的形成。4,4 二甲基-2,6-二氧代-N-苯基环己烷硫代甲酰胺（DDPCCTA）和 TritonX-100 分别用作配体和表面活性剂。计算了校准曲线线性（0.2-900 µg L-1）、检出限（LOD = 0.10 µg L-1）、增强因子（EF = 120）和预浓缩因子（PE = 100）等验证参数。此外，AA-RS-DES-CPE 方法的准确性还得到了两种认证参考物质 (CRM) 的证明。最后，利用三种绿色工具，即蓝色适用性等级指数（BAGI）、样品制备可持续性指标（SPMS）和样品制备分析绿色指标（AGREEprep），对该方法的环境可持续性价值、健康危害和适用性进行了评估。经过改进，该方法比现有方法更安全、更环保，具有很高的应用潜力。

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来源期刊

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.