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作 者:陈丽芳 贾彦博[1] 胡文彬 魏琴芳 茅佳 林舒忆 洪春来[2] CHEN Li-Fang;JIA Yan-Bo;HU Wen-Bin;WEI Qin-Fang;MAO Jia;LIN Shu-Yi;HONG Chun-Lai(Hangzhou Institute for Food and Drug Control,Hangzhou 310022,China;Institute of Environment,Resource Soil and Fertilizer,Zhejiang Academy of Agricultural Sciences,Hangzhou 310021,China)
机构地区:[1]杭州市食品药品检验研究院,杭州310022 [2]浙江省农业科学院环境资源与土壤肥料研究所,杭州310021
出 处:《食品安全质量检测学报》2020年第20期7310-7316,共7页Journal of Food Safety and Quality
摘 要:目的评定高效液相色谱-电感耦合等离子体质谱联用法测定茶叶中铬酸根含量的不确定度。方法通过建立不确定度评定的数学模型,分析并计算各不确定度分量,计算合成不确定度和扩展不确定度,得出影响结果不确定度的主要来源。结果在95%的置信区间下,当茶叶中铬酸根的含量为113.2 mg/kg时,扩展不确定度U=8.9mg/kg(k=2)。结论影响结果不确定度的主要因素是样液浓度引入的不确定度,其中由拟合曲线求得样液浓度引入的不确定度影响最大。Objective To evaluate the uncertainty in the determination of chromate in tea by high performance liquid chromatography-inductively coupled plasma mass spectrometry. Methods Through the establishment of the uncertainty evaluation mathematical model, the components of uncertainty were analyzed and calculated, the composite uncertainty and extended uncertainty were calculated, and the main source of uncertainty that affected the results were obtained. Results Under the 95% confidence interval, when the content of chromate in tea was 113.2 mg/kg, the expanded uncertainty was U=8.9 mg/kg(k=2). Conclusion The main factor that affects the uncertainty of the results is the uncertainty introduced by the concentration of the sample solution, and the uncertainty introduced by sample concentration obtained by fitting curve has the greatest influence.
关 键 词:高效液相色谱法 电感耦合等离子体质谱法 铬酸根 不确定度 美术绿
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