陈 婷,彭 涛,张 文,王行智,闫 君,吴福祥.超高效液相色谱-串联质谱法测定豆芽中4-氯苯氧乙酸钠残留量的不确定度评定[J].食品安全质量检测学报,2021,12(3):1076-1082
超高效液相色谱-串联质谱法测定豆芽中4-氯苯氧乙酸钠残留量的不确定度评定
Uncertainty evaluation for determination of sodium 4-chlorophenoxyacetate residue in bean sprouts by ultra performance liquid chromatography-tandem mass spectrometry
投稿时间:2020-09-18  修订日期:2021-01-07
DOI:
中文关键词:  超高效液相色谱串联质谱法  4-氯苯氧乙酸钠  不确定度
英文关键词:ultra performance liquid chromatography-tandem mass spectrometry  sodium 4-choroph enxyacetate  uncertainty
基金项目:甘肃省食品药品监督管理局青年科技创新项目(2020GSMPA014)、兰州市首席专家工作室基金项目(2019LZFDC009)
作者单位
陈 婷 兰州市食品药品检验检测研究院 
彭 涛 兰州市食品药品检验检测研究院 
张 文 兰州市食品药品检验检测研究院 
王行智 兰州市食品药品检验检测研究院 
闫 君 兰州市食品药品检验检测研究院 
吴福祥 兰州市食品药品检验检测研究院 
AuthorInstitution
CHEN Ting Lanzhou Institutes for Food and Drug Control 
PENG Tao Lanzhou Institutes for Food and Drug Control 
ZHANG Wen Lanzhou Institutes for Food and Drug Control 
WANG Xing-Zhi Lanzhou Institutes for Food and Drug Control 
YAN Jun Lanzhou Institutes for Food and Drug Control 
WU Fu-Xiang Lanzhou Institutes for Food and Drug Control 
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中文摘要:
      目的 评定超高效液相色谱-串联质谱法测定豆芽中4-氯苯氧乙酸钠残留量的不确定度。方法 通过构建不确定度评定的数学模型, 分析不确定度分量的来源, 对试样称量、前处理过程、标准物质配制、标准工作曲线拟合及实验重复性、回收率等各分量加以量化和合成。结果 豆芽中4-氯苯氧乙酸钠含量为 59.44 μg/kg, 其测量扩展不确定度为3.6 μg/kg (k=2), 其中影响测量不确定度的主要因素是标准溶液配制和标准曲线拟合所引入的不确定度。结论 在检测过程中应使用纯度较高的标准溶液, 提高标准溶液配制的准确性, 保证标准曲线的相关性符合规定。
英文摘要:
      Objective To evaluate the uncertainty of the residual amount of sodium 4-chlorophenoxyacetate in bean sprouts by ultra performance liquid chromatography-tandem mass spectrometry. Methods Mathematical model of uncertainty evaluation was constructed, the sources of uncertainty were analyzed, and various components were quantified and synthesized such as sample weighing, pretreatment process, standard material preparation, standard working curve fitting, experimental repeatability, and recovery rate. Results When the content of 4-chlorophenoxyacetate in bean sprouts was 59.44 μg/kg, and the expanded uncertainty was 3.6 μg/kg (k=2), the main factor affecting the measurement uncertainty was the uncertainty introduced by the standard solution preparation and standard curve fitting. Conclusion In the detection process, a standard solution of higher purity should be used to improve the accuracy of standard solution preparation and ensure that the correlation of the standard curve meets the requirements.
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