荧光法结合化学计量学法快速检测牛乳中恩诺沙星残留

Rapid Determination of Enrofloxacin in Milk by Fluorescence Spectroscopy Combined with Chemometrics

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。

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.