韩晓鸥,平小红,张媛媛.液相色谱-原子荧光光谱法检测水产品中无机砷含量及其风险评估[J].食品安全质量检测学报,2017,8(5):1926-1932
液相色谱-原子荧光光谱法检测水产品中无机砷含量及其风险评估
Determination of inorganic arsenic content in seafood by liquid chromatography-atomic fluorescence spectrometry and its risk assessment
投稿时间:2017-04-12  修订日期:2017-05-08
DOI:
中文关键词:  液相色谱法  原子荧光法  水产品  无机砷  风险评估
英文关键词:liquid chromatography  atomic fluorescence spectrometry  seafood  inorganic arsenic  risk assessment
基金项目:
作者单位
韩晓鸥 辽宁省疾病预防控制中心 
平小红 辽宁省疾病预防控制中心 
张媛媛 辽宁省疾病预防控制中心 
AuthorInstitution
HAN Xiao-Ou Liaoning Provincial Center for Disease Control and Prevention 
PING Xiao-Hong Liaoning Provincial Center for Disease Control and Prevention 
ZHANG Yuan-Yuan Liaoning Provincial Center for Disease Control and Prevention 
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中文摘要:
      目的 采用液相色谱-原子荧光光谱法测定水产品中亚砷酸盐As(Ⅲ)、砷酸盐As(Ⅴ)的含量; 并建立数学预测模型推断市场中水产品中无机砷阳性样品的概率。方法 水产品中加入20 mL 0.15 mol/L的HNO3溶液, 放置过夜。置90 ℃恒温箱中热浸提3.0 h。提取完毕, 使2种形态神的化合物溶出, 提取液冷却后上机检测。样品检测数据运用风险评估软件@RISK6.2建立数学模型。结果 由模型可知水产品和水质产品中无机砷阳性样品检出的亚砷酸盐As(Ⅲ)的流行率为7.6%, 砷酸盐As(Ⅴ)的流行率为3.1%。结论 通过模型可以推断出采样地中大型超市、小型市场中水产品和水质产品中无机砷阳性样品检出的概率, 数学模型的建立为有关部门对水产品的风险管理提供技术支撑。
英文摘要:
      Objective To establish a method for determination of 2 kinds of inorganic arsenic including arsenite As (Ⅲ) and arsenate As (Ⅴ) in seafood by liquid chromatography-atomic fluorescence spectrometry (LC-AFS), and to establish a mathematical model to infer the probability of inorganic arsenic positive samples in the markets. Methods Samples were soaked in 20 mL 0.15 mol/L HNO3 solutions over night, and were heat extracted in a thermostat at 90 ℃ for 3 h. After being cooled, the extract was introduced for LC-AFS analysis. The mathematical model was established by using the risk assessment software @RISK6.2. Results The prevalence rate of arsenite As (Ⅲ) was 7.6% and the prevalence rate of arsenate As (Ⅴ) was 3.1%. Conclusion The established model can infer the probability of inorganic arsenic positive samples in seafood and water samples in large supermarkets and small markets, which can provide technical support for the risk management of seafood.
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