市场贝类中六种砷形态的物种分析：提取优化和健康风险评估。
Speciation analysis of six arsenic species in marketed shellfish: Extraction optimization and health risk assessment.
机构信息
College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China.
College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China; Hunan Provincial Key Laboratory of Efficient and Clean Utilization of Manganese Resources, Central South University, Changsha 410083, China.
出版信息
Food Chem. 2018 Apr 1;244:311-316. doi: 10.1016/j.foodchem.2017.10.064. Epub 2017 Oct 12.
A comparative study between microwave assisted and sonication methods was carried out to extract arsenic (As) species in shellfish samples using different extractants. Six As species including arsenite [As(III)], arsenate [As(V)], monomethylarsonic acid (MMA), dimethylarsinic acid (DMA), arsenobetaine (AsB) and arsenocholine (AsC) were simultaneously separated and determined by the HPLC-ICP-MS method. The microwave assisted method exhibited higher efficiency than sonication, especially using diluted HNO as extractant. By compromising extraction efficiency, pretreatment time and stability of As species, the microwave assisted method using 1% HNO at 100°C for 1.5h was selected to extract As from real samples. The proposed method has been applied to extract and determine As species in shellfish samples. The result of correlation analysis indicated that the proportion of AsB in the shellfish samples was decreased with total As concentration increasing due to the biotransformation threshold from inorganic As to AsB.
采用微波辅助法和超声法，用不同提取剂对贝类样品中的砷形态进行了比较研究。采用高效液相色谱-电感耦合等离子体质谱法同时分离和测定了六种砷形态，包括亚砷酸盐[As(III)]、砷酸盐[As(V)]、一甲基砷酸（MMA）、二甲基砷酸（DMA）、砷甜菜碱（AsB）和砷胆碱（AsC）。微波辅助法比超声法更有效，尤其是使用稀 HNO3 作为提取剂时。通过平衡提取效率、预处理时间和砷形态的稳定性，选择在 100°C 下用 1% HNO3 处理 1.5h 的微波辅助法从实际样品中提取砷。该方法已应用于贝类样品中砷形态的提取和测定。相关分析的结果表明，由于从无机砷到砷甜菜碱的生物转化阈值，随着总砷浓度的增加，贝类样品中砷甜菜碱的比例降低。
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