王 飞,陈其勇,王永芳,宓捷波,李淑静,许 泓.肠衣中12种磺胺类药物残留量测定的 不确定度分析[J].食品安全质量检测学报,2015,6(2):442-446 |
肠衣中12种磺胺类药物残留量测定的 不确定度分析 |
Uncertainty evaluation of twelve kinds of sulfanilamide residues in casing |
投稿时间:2014-12-18 修订日期:2015-02-07 |
DOI: |
中文关键词: 不确定度 磺胺 液相色谱-串联质谱法 肠衣 |
英文关键词:uncertainty evaluation sulfanilamide residues liquid chromatography-tandem mass spectrometry casing |
基金项目:天津检验检疫局科技计划项目(TK076-2013) |
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Author | Institution |
WANG Fei | Animal, Plant and Foodstuffs Inspection Center, Tianjin Entry-Exit Inspection and Quarantine Bureau |
CHEN Qi-Yong | Animal, Plant and Foodstuffs Inspection Center, Tianjin Entry-Exit Inspection and Quarantine Bureau |
WANG Yong-fang | Animal, Plant and Foodstuffs Inspection Center, Tianjin Entry-Exit Inspection and Quarantine Bureau |
MI Jie-Bo | Animal, Plant and Foodstuffs Inspection Center, Tianjin Entry-Exit Inspection and Quarantine Bureau |
LI Shu-Jing | Animal, Plant and Foodstuffs Inspection Center, Tianjin Entry-Exit Inspection and Quarantine Bureau |
XU Hong | Animal, Plant and Foodstuffs Inspection Center, Tianjin Entry-Exit Inspection and Quarantine Bureau |
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中文摘要: |
目的 为保证实验室测试结果的准确性和可靠性, 采用液相色谱-串联质谱法对肠衣中12种磺胺类药物残留量测定的不确定度进行评估。方法 按照《测量不确定度评定与表示》的要求, 对GB/T 20759-2006 《畜禽肉中十六种磺胺类药物残留量的测定 液相色谱-串联质谱法》进行肠衣中12种磺胺类药物测定的不确定度分析。结果 建立了相应的数学模型, 对测量结果的不确定度来源, 如标准物质、标准溶液配制、样品称量、样品定容、样品回收率及结果的重复性等进行了量化分析。结论 标准溶液的配制及稀释、样品回收率对样品的合成不确定度贡献较大。 |
英文摘要: |
Objective To evaluate the uncertainty of twelve kinds of sulfanilamide residues in casing by liquid chromatography-tandem mass spectrometry (LC-MS/MS), so as to ensure the accuracy and reliability of results. Methods Evaluation and expression of uncertainty were measured based on during analyzing twelve kinds of sulfanilamide residues in casing according to GB/T 20759-2006. Results A mathematical model was established, all of the influence factors on measuring uncertainty were found out, and the uncertainties of type A or type B were evaluated respectively. Conclusion The preparation and elution of solutions, the recoveries and the fitted linear regression equation for the calibration curve were the main source of uncertainties. |
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