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※分析检测 食品科学 2013, Vol.34, No.22 111
荧光法结合化学计量学法快速检测
牛乳中恩诺沙星残留
刘小鸣,冯仕云,周颖喆,田丰伟,赵建新,张 灏,陈 卫
(江南大学食品学院,江苏 无锡 214122)
摘 要:以添加不同恩诺沙星浓度的牛乳体系构建校正集和预测集,应用化学计量学中的偏最小二乘(PLS)法和偏
最小二乘判别分析(PLSDA)法对荧光光谱数据进行解析并构建模型。结果表明:PLS模型可较好地预测牛乳中恩诺
沙星的含量,回收率在96%~111.4%之间;PLSDA模型可用来判断样品中恩诺沙星含量是否超过最大残留量。所
建立的检测模型可应用于牛乳中恩诺沙星残留的快速检测。
关键词:牛乳;恩诺沙星;荧光;化学计量学;快速检测
Rapid Determination of Enrofloxacin in Milk by Fluorescence Spectroscopy Combined with Chemometrics
LIU Xiao-ming ,FENG Shi-yun ,ZHOU Ying-zhe ,TIAN Feng-wei ,ZHAO Jian-xin ,ZHANG Hao ,CHEN Wei
(School of Food Science and Technology, Jiangnan University, Wuxi 214122, China)
Abstract :Though there are many analytical methods available to determine antibiotic residues in milk, most of them are
rather complicated. A rapid screening method for enrofloxacin in milk was proposed by fluorescence spectroscopy combined
with chemometrics. The fluorescence spectra of milk samples spiked with different concentrations of enrofloaxcin (ENRO)
were recorded and partial least square discriminate analysis (PLSDA) and partial least square (PLS) regression methods were
conducted for use as calibration and prediction models. The results showed that the PLS model could determine the con-
centration of ENRO in milk, and the recovery rate for milk samples was in the range of 96% to 111.4%. The PLSDA model
could accurately identify whether ENRO levels in milk samples exceeded the maximum residue limit with good repeatabil-
ity. Therefore the established models are useful for rapid determination of ENRO residues in milk.
Key words :milk ;enrofloxacin ;fluorescence ;chemometrics ;rapid determination
中图分类号:TS252.7 文献标志码:A 文章编号:1002-6630(2013)2
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