顾文佳,张懿翔,许 超,葛 宇,曲勤凤.运用统计学方法对能力验证定性样品的均匀性和稳定性进行评价[J].食品安全质量检测学报,2019,10(21):7138-7141
运用统计学方法对能力验证定性样品的均匀性和稳定性进行评价
Evaluation of the homogeneity and stability of qualitative samples in the proficiency test with statistical methods
投稿时间:2019-08-06  修订日期:2019-11-06
DOI:
中文关键词:  能力验证  均匀性和稳定性  动物成分
英文关键词:proficiency testing  homogeneity and stability  animal-derived ingredients
基金项目:上海市质量技术监督局2018年检验检测机构能力验证项目(JLXH-2018-01)
作者单位
顾文佳 上海市质量监督检验技术研究院 
张懿翔 上海市质量监督检验技术研究院 
许 超 上海市质量监督检验技术研究院 
葛 宇 上海市质量监督检验技术研究院 
曲勤凤 上海市质量监督检验技术研究院 
AuthorInstitution
GU Wen-Jia Shanghai Institute of Quality Inspection and Technical Research 
ZHANG Yi-Xiang Shanghai Institute of Quality Inspection and Technical Research 
XU Chao Shanghai Institute of Quality Inspection and Technical Research 
GE Yu Shanghai Institute of Quality Inspection and Technical Research 
QU Qin-Feng Shanghai Institute of Quality Inspection and Technical Research 
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中文摘要:
      目的 使用统计方法客观评价定性能力验证样品的均匀性和稳定性。方法 使用荧光PCR法分别检测每组样品中牛、羊、鸭源性成分, 对阳性结果的Ct值进行单因素方差分析, 评定样品的均匀性。采用线性回归方法, 评定样品的稳定性。结果 F<F0.05(9,10)=3.02且P>0.05, 各组样品间无显著性差异, 样品是均匀的。线性回归分析结果直线斜率无统计学差异, 即样品在检测期间保持稳定。结论 运用统计学方法对动物成分能力验证样品的均匀性和稳定性进行定量分析, 能够更科学地对能力验证样品的均匀性和稳定性进行统计学推断。
英文摘要:
      Objective To objectively evaluate the homogeneity and stability of qualitative samples by statistical methods. Methods The beef, lamb and duck-derived components were detected separately by real-time PCR. The values in positive results were analyzed by one-way ANOVA method to evaluating the homogeneity of samples. The stability of samples was evaluated by the linear regression method. Results F<F0.05(9,10)=3.02 and P>0.05. There was no significant difference between groups and the samples were homogenous. There was no statistical difference in the linear slope of the linear regression analysis, which indicated that the sample remained stable during the test. Conclusion The homogeneity and stability of the samples used in proficiency tests of animal-derived materials detection can be deduced more precisely through statistical methods.
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