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羧基化纳米金刚石@CuAlO@TiO 纳米复合材料用于分散微固相萃取痕量食品中镍。

Carboxylated nanodiamonds@CuAlO@TiO nanocomposite for the dispersive micro-solid phase extraction of nickel at trace levels from food samples.

机构信息

Erciyes University, Faculty of Sciences, Department of Chemistry, 38039 Kayseri, Turkey; Technology Research & Application Center (ERU-TAUM), Erciyes University, 38039 Kayseri, Turkey; Turkish Academy of Sciences (TUBA), Cankaya, Ankara, Turkey.

Erciyes University, Faculty of Sciences, Department of Chemistry, 38039 Kayseri, Turkey; Technology Research & Application Center (ERU-TAUM), Erciyes University, 38039 Kayseri, Turkey.

出版信息

Food Chem. 2024 Jul 1;445:138733. doi: 10.1016/j.foodchem.2024.138733. Epub 2024 Feb 14.

DOI:10.1016/j.foodchem.2024.138733
PMID:38387322
Abstract

Heavy metal pollution poses a significant health risk, necessitating regular environmental monitoring for public safety. Elevated nickel concentrations can disrupt ecosystems and impact human health. This study presents a nano-sorbent can be used for dispersive micro-solid phase extraction of nickel. The nano-sorbent was characterized using FT-IR, XRD, FESEM, BET, and BJH. It demonstrated remarkable efficiency due to its nanoscale properties, optimizing results in exceptional extraction performance with minimal interference from common ions. A flame atomic absorption spectrometer was utilized for all measurements. It has a low LOD (0.29 μg L) and RSDs% (7.3 % and 6 % intra-day and inter-day, respectively), minimal variation, and a precisely accurate correlation (0.997). It can be used on black tea, green tea, carrots, coffee beans, tuna fish, herring fish, tobacco, soil, natural water, and wastewater samples. The accuracy of the method was assessed by analyzing TMDA-64.3 fortified water and NIST 1573a tomato leaves certified reference materials.

摘要

重金属污染对健康构成重大威胁,为保障公众安全,需定期进行环境监测。镍浓度升高会破坏生态系统并影响人类健康。本研究提出了一种纳米吸附剂,可用于分散式微固相萃取镍。采用 FT-IR、XRD、FESEM、BET 和 BJH 对纳米吸附剂进行了表征。由于其纳米特性,它表现出了非凡的效率,在最小化常见离子干扰的情况下,优化了提取性能。所有测量均使用火焰原子吸收光谱仪进行。它具有低的 LOD(0.29μg/L)和 RSDs%(分别为 7.3%和 6%的日内和日间变异),变化最小,且相关性精确准确(0.997)。它可用于红茶、绿茶、胡萝卜、咖啡豆、金枪鱼、鲱鱼、烟草、土壤、天然水和废水样品。通过分析 TMDA-64.3 加标水和 NIST 1573a 番茄叶认证参考物质来评估该方法的准确性。

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