色谱法
化学
砷
电感耦合等离子体质谱法
遗传算法
质谱法
环境化学
感应耦合等离子体
分析化学(期刊)
等离子体
量子力学
物理
有机化学
进化生物学
生物
作者
Semih Kara,Dotse Selali Chormey,Ahmet Saygılar,Sezgin Bakırdere
出处
期刊:Food Chemistry
[Elsevier BV]
日期:2021-03-27
卷期号:356: 129706-129706
被引量:28
标识
DOI:10.1016/j.foodchem.2021.129706
摘要
• A method was developed to separate six arsenic species. • Detection limits of the analytes ranged between 0.14 and 0.29 µg L −1 . • Percent recovery results close to 100% validated the method’s accuracy. • Precision of the method was verified with intra-day and inter-day repeatability tests. Six arsenic species, namely arsenite (AsIII), arsenate (AsV), monomethylarsonic acid (MMA), dimethylarsinic acid (DMA), arsenobetaine (AsB) and arsenocholine (AsC) were speciated using a combination of high-performance liquid chromatography and inductively coupled plasma mass spectrometry (HPLC–ICP-MS). Under optimum chromatographic conditions, six arsenic species were well separated, and the performance of the combined system (HPLC–ICP-MS) for the species was determined. The limits of detection were calculated in the range of 0.14–0.29 ng/mL, and the corresponding quantification limits ranged between 0.45 and 0.97 ng mL −1 for the species. Spike recovery experiments performed on rice samples were used to validate the method’s applicability to complex matrices. The recovery results calculated ranged between 93 and 109%, validating the method’s applicability. Triplicate measurements for all spiked samples recorded percent relative standard deviation values below 10%.
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