不同产地保健食品原料中总砷及无机砷含量检测

为考察保健食品原料中砷污染情况，确保保健食品的质量安全，采用电感耦合等离子体质谱（ICP-MS）和高效液相色谱-电感耦合等离子体质谱（HPLC/ICP-MS）法对来自16个产地14种保健食品原料中总砷和无机砷含量进行测定。结果表明，总砷和无机砷浓度与信号强度在0~100 μg/L范围内呈良好的线性关系，样品检测结果的相对标准偏差（RSD）在0.00~2.52%之间，精密度良好。所检测保健食品原料中，总砷含量在（0.0004~0.3900）mg/kg之间，未超出保健食品限量标准；无机砷的含量在（0.0003~0.1962）mg/kg之间。河北金银花的总砷及无机砷含量最高；吉林的人参、新疆的大枣、云南的核桃肉、安徽的白芍、山西的山萸肉及福建的猴头菇等6种原料的砷含量较低，其中人参、大枣、核桃肉的总砷含量相同，且为最低，为0.0004 mg/kg，无机砷含量亦相同，为0.0003 mg/kg。本研究给出了多种保健食品原料不同产地的砷残留数据，扩充了保健食品原料砷含量数据库，为砷污染风险评估提供了重要参考。

Detection of Total Arsenic and Inorganic Arsenic Content in Health Food Raw Materials from Different Habitats

To investigate the arsenic pollution in health food raw materials and to ensure the quality and safety of health food, the contents of total arsenic and inorganic arsenic in 14 kinds of health food raw materials from 16 habitats were determined by inductively coupled plasma-mass spectrometry (ICP-MS) and high-performance liquid chromatography-inductively coupled plasma-mass spectrometry (HPLC/ICP-MS), respectively. The relationship between arsenic concentration and signal intensity is linear with R2 higer than 0.9999 in range of 0~100 μg/L. The relative standard deviation (RSD) of detecting results of health food raw materials were from 0.00% to 2.52%, and the precision was satisfactory. The total arsenic content was between (0.0004~0.3900) mg/kg, which did not exceed the health food limit standard. The content of the inorganic arsenic was (0.0003~0.1962) mg/kg. Among them, total arsenic and inorganic arsenic content of Hebei honeysuckle was the highest, the contents of arsenic in ginseng from Jilin, jujube from Xinjiang, walnut from Yunnan, white peony root from Anhui, cornus officinalis from Shanxi and Hericium erinaceus from Fujian were low. The total arsenic contents of ginseng, jujube and walnut meat were the same and the lowest, 0.0004 mg/kg, and the inorganic arsenic contents were also the same, 0.0003 mg/kg. The data of arsenic residues in a variety of health food raw materials were given, which expanded the arsenic content database of health food raw materials and would provide an important reference for arsenic pollution risk assessment.