Azhar Y.M. Al-Murshedi , Ghusoon Jawad Shabaa , Ebaa Adnan Azooz , Ibrahim A. Naguib , Hameed Ul Haq , Nidhal K. El Abbadi , Denys Snigur
{"title":"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","authors":"Azhar Y.M. Al-Murshedi , Ghusoon Jawad Shabaa , Ebaa Adnan Azooz , Ibrahim A. Naguib , Hameed Ul Haq , Nidhal K. El Abbadi , Denys Snigur","doi":"10.1016/j.jfca.2024.106910","DOIUrl":null,"url":null,"abstract":"<div><div>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<sup>−1</sup>), the limit of detection (LOD = 0.10 µg L<sup>−1</sup>), 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.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106910"},"PeriodicalIF":4.0000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spectrophotometric determination of zinc in blood and food samples using an air-assisted rapid synergistic-cloud point extraction method based on deep eutectic solvents\",\"authors\":\"Azhar Y.M. Al-Murshedi , Ghusoon Jawad Shabaa , Ebaa Adnan Azooz , Ibrahim A. Naguib , Hameed Ul Haq , Nidhal K. El Abbadi , Denys Snigur\",\"doi\":\"10.1016/j.jfca.2024.106910\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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<sup>−1</sup>), the limit of detection (LOD = 0.10 µg L<sup>−1</sup>), 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.</div></div>\",\"PeriodicalId\":15867,\"journal\":{\"name\":\"Journal of Food Composition and Analysis\",\"volume\":\"137 \",\"pages\":\"Article 106910\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-10-28\",\"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/S088915752400944X\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Composition and Analysis","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S088915752400944X","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}
Spectrophotometric determination of zinc in blood and food samples using an air-assisted rapid synergistic-cloud point extraction method based on deep eutectic solvents
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.
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.