袁琳嫣,赵 镭,李洁君.液相色谱-串联质谱法检测烘焙纸膜的印刷UV油墨中18种光引发剂残留量的不确定度评定[J].食品安全质量检测学报,2020,11(22):8406-8412
液相色谱-串联质谱法检测烘焙纸膜的印刷UV油墨中18种光引发剂残留量的不确定度评定
Uncertainty evaluation for the determination of 18 kinds of photoinitiator residues in UV printing inks in baking paper films by liquid chromatography-tandem mass spectrometry
投稿时间:2020-06-01  修订日期:2020-08-28
DOI:
中文关键词:  液相色谱-串联质谱法  18种光引发剂  烘焙纸膜  不确定度
英文关键词:liquid chromatography-tandem mass spectrometry  18 kinds of photoinitiators  paper baking mould  uncertainty
基金项目:上海市质量监督检验技术研究院院项目(KY-2018-7-QH)
作者单位
袁琳嫣 上海市质量监督检验技术研究院 
赵 镭 上海市质量监督检验技术研究院 
李洁君 上海市质量监督检验技术研究院 
AuthorInstitution
YUAN Lin-Yan Shanghai Institute of Quality Inspection and Technical Research 
ZHAO Lei Shanghai Institute of Quality Inspection and Technical Research 
LI Jie-Jun Shanghai Institute of Quality Inspection and Technical Research 
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中文摘要:
      目的 评估液相色谱-串联质谱法测定烘焙纸膜中印刷UV油墨中18种光引发剂残留量的不确定度。方法 依据CNAS-GL006: 2019《化学分析中不确定度的评估指南》, 建立数据模型, 识别不确定度来源, 量化不确定的分量, 最终合成烘焙蛋糕纸模中18种光引发剂的残留量测定结果的不确定度。结果 蛋糕纸膜中18种光引发剂的含量为0.0432~0.0477 mg/kg, 合成的不确定度为0.0010~0.0026 mg/kg, 扩展不确定度为0.0020~0.0052 mg/kg。结论 18种光引发剂残留量的测定过程中, 标准工作曲线拟合所引入的不确定度占权重最大, 样品称样量引入的不确定度可以忽略不计, 通过T检验统计分析, 回收率引入的不确定度不予考虑。
英文摘要:
      Objective To evaluate the uncertainty of the determination of 18 kinds of photoinitiators residues in printing UV inks in baking paper molds by liquid chromatography-tandem mass spectrometry. Methods According to the CNAS-GL006: 2019 Guideline for uncertainty assessment in chemical analysis, mathematic models was established to identify the source of uncertainty and quantify the component of uncertainty. Finally, the uncertainty of the determination results of 18 photoinitiators in the baking cake paper mold was synthesized. Results The residues of 18 photoinitiators in the cake paper molds were 0.0432-0.0477 mg/kg, the uncertainties of synthesis were 0.0010-0.0026 mg/kg, and the expanded uncertainties were 0.0020-0.0052 mg/kg. Conclusion In the uncertainty evaluation process for the determination of 18 kinds of photoinitiator residues, the uncertainty introduced by the standard working curve fitting account for the largest weight, and the uncertainty introduced by the sample weighting can be ignored. Through the statistical analysis of T test, the uncertainty introduced by the recovery rate is not considered.
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