A novel UA-CPME-FAAS method for simultaneous determination of Pb(II), Cd(II), and Cu(II) in grape and pomegranate samples using a bis(phthalimidoethyloxy)anthraquinone ligand

IF 4.6 2区 农林科学 Q2 CHEMISTRY, APPLIED
Taşkın Mumcu , Akın Mumcu , Ülkü Yılmaz
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Abstract

In this study, a novel ultrasound-assisted cloud point microextraction (UA-CPME) method coupled with flame atomic absorption spectrometry (FAAS) was developed for the simultaneous determination of Pb(II), Cd(II), and Cu(II) ions in fruit samples. The extraction strategy employed synthesized 1,8-bis(phthalimidoethyloxy)anthraquinone ligand, used for the first time in a CPME system. Under optimized conditions, the metal-ligand complexes were efficiently extracted into the surfactant rich phase using the nonionic surfactant Triton X-100 at mild temperature and pH. The analytical performance of the method was remarkable, with low detection limits (0.6 µg L⁻¹ for Pb, 0.5 µg L⁻¹ for Cd, and 0.4 µg L⁻¹ for Cu), wide linear ranges (Pb: 0.7–350, Cd: 0.7–400, Cu: 0.5–400 µg L⁻¹), and excellent recoveries ranging from 95.6 % to 99.4 % with relative standard deviations below 2 %. The method was successfully applied to real grape and pomegranate juice samples, high recoveries and demonstrating minimal matrix effects. Matrix-matched calibration was not required, confirming the method’s robustness and selectivity across different sample types. Furthermore, the use of a non toxic surfactant and elimination of organic solvents highlight the green and eco friendly nature of the method. Overall, the proposed UA-CPME-FAAS approach offers a simple, sensitive, cost effective, and environmentally sustainable solution for trace level multimetal analysis in complex food matrices such as fruit based samples.
采用双(邻苯二胺乙氧基)蒽醌配体同时测定葡萄和石榴样品中的Pb(II)、Cd(II)和Cu(II)
本文建立了超声辅助云点微萃取(UA-CPME) -火焰原子吸收光谱法(FAAS)同时测定水果样品中Pb(II)、Cd(II)和Cu(II)离子的方法。提取策略采用合成1,8-二(邻苯二甲酸乙氧基)蒽醌配体,首次在CPME体系中使用。在优化条件下,metal-ligand复合物被有效地提取到表面活性剂富裕阶段使用非离子表面活性剂Triton x - 100在温和的温度和博士的分析性能方法是非凡的,较低的检测限制(0.6 µg L⁻¹Pb, 0.5 µg L⁻¹Cd,和0.4 µg L⁻¹铜),线性范围宽(Pb: 0.7 -350年,Cd: -400年0.7,铜:0.5 -400 µg L⁻¹),和优秀的复苏从95.6 % 99.4 %,相对标准偏差低于2 %。该方法适用于葡萄和石榴汁样品,回收率高,基质效应小。不需要矩阵匹配校准,证实了该方法对不同样品类型的鲁棒性和选择性。此外,使用无毒表面活性剂和消除有机溶剂,突出了该方法的绿色和环保性质。总的来说,提出的UA-CPME-FAAS方法为复杂食品基质(如水果样品)中的痕量多金属分析提供了一种简单、敏感、经济、环保的解决方案。
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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.
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