生乳中抗生素测定值的不确定度测定——基于SNAP双流向酶联免疫法
Determination of Uncertainty in the Determination of Antibiotics in Raw Milk——Based on SNAP-Dual-Flow Enzyme Immunoassay
陈炜楠 1杨爱君 1何瑛 1梁俊健 1曹学思1
作者信息
- 1. 广东燕塘乳业股份有限公司,广东广州 510000
- 折叠
摘要
[目的]对SNAP双流向酶联免疫法测定生乳中抗生素含量的不确定度进行评定.[方法]运用三合一试纸,测定β-内酰胺类、四环素类、头孢氨苄等生乳中抗生素,分析不确定度来源,建立完整数学模型,分析和评定模型中各分量,合成相对标准不确定度并扩展,得出生乳样本中抗生素——β-内酰胺类、四环素类、头孢氨苄抗生素测定值的扩展不确定度.[结果]当置信度为95%时,得到生乳中抗生素测定值结果分别为:X(β-内酰胺类)=0.64±0.173 8,取k=2,扩展不确定度为U=0.173 8.X(四环素类)=0.62±0.168 4,取k=2,扩展不确定度为U=0.168 4.X(头孢氨苄)=0.37±0.100 4,取k=2,扩展不确定度为U=0.100 4 mg/kg.[结论]试验过程的不确定度主要来源于样品重复性、取样量、试纸读数仪、结果计算引入.该方法可为SNAP双流向酶联免疫法关于生乳中抗生素测定值的不确定度评定提供参考.
Abstract
[Objective]To evaluate the uncertainty of the SNAP dual-flow enzyme-linked immunosorbent assay(ELISA)for determining the antibiotic content in raw milk.[Methods]Using a three-in-one test strip,antibiotics such as β-lactam,tetracycline,and cephalexin in raw milk were measured.The sources of uncertainty were analyzed,and a complete mathematical model was established.Each component in the model was analyzed and evaluated.The relative standard uncertainty was synthesized and expanded to obtain the expanded uncertainty of the antibiotic measurements for β-lactam,tetracycline,and cephalexin in raw milk samples.[Results]When the confidence level was 95%,the results of the antibiotic measurements in raw milk were:X(β-lactam)=0.64±0.173 8,with k=2,and the expanded uncertainty was U=0.173 8.X(tetracycline)=0.62±0.168 4,with k=2,and the expanded uncertainty was U=0.168 4.X(cephalexin)=0.37±0.100 4,with k=2,and the expanded uncertainty was U=0.100 4 mg/kg.[Conclusion]The uncertainty in the experimental process mainly originates from sample repeatability,sampling volume,test strip reader,and result calculation.This method can provide a reference for evaluating the uncertainty of the SNAP dual-flow ELISA for determining antibiotic levels in raw milk.
关键词
SNAP双流向酶联免疫法/生乳/抗生素/测定值/不确定度Key words
SNAP two-flow enzyme immunoassay/raw milk/antibiotics/determination/uncertainty引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据