基于同步荧光光谱法的鸭肉中西维因残留含量检测研究

为了快速测定鸭肉中西维因残留含量，提出应用同步荧光光谱法检测鸭肉中西维因残留含量，同时运用遗传算法-支持向量回归(GA-SVR)建立了鸭肉中西维因残留含量的回归预测模型。首先，通过荧光分光光度计分别采集了西维因水解物和含有西维因的鸭肉的三维同步荧光光谱图，经过分析确定了最佳波长差Δλ都为140 nm;其次，分析了鸭肉中西维因的浓度猝灭现象;最后采用GA进行同步荧光光谱的优化和选择，根据交互验证均方根误差(RMSECV)选择出了21个特征波长，并分别用全波长和21个特征波长作为SVR回归预测模型的输入特征变量，发现通过GA选择的特征波长可以得到更好的预测效果，并且其预测集的相关系数(R2)达到0.976 4，均方根误差(RMSECP)为12.232 2。试验结果表明利用同步荧光技术结合GA-SVR方法能有效、快速的检测鸭肉中西维因残留含量。

Study on Determination of Carbaryl Content in Duck Meat Based on Synchronous Fluorescence Spectroscopy

For the rapid detection of carbaryl residue in duck meat, synchronous fluorescence spectroscopy was used, and GA combined with SVR was used to establish regression forecasting mode for the application of forecasting carbaryl residue in duck meat . Firstly, fluorescence spectrophotometer was used to get the 3D synchronous fluorescence spectra of carbaryl hydrolysate and duck solution containing carbaryl, and 140 nm was selected as the optimum wavelength difference Δλ; Secondly, some concentration quenching was analysed. Finally, GA was used to optimize and choose the 3D synchronous fluorescence spectra. According to the root mean square error of cross-validation (RMSECV) 21 characteristic wavelengths were chosen, then the full wavelength and 21 characteristic wavelengths were used as input characteristic variables of SVR regression forecasting model respectively. At last the results showed that characteristic wavelengths chosen by GA can get better forecasting results, and the correlation coefficient of the prediction samples set and the root mean squared error (RMSEP) were 0.976 4 and 12.232 2, respectively. The results of experiments showed that the synchronous fluorescence spectroscopy could be used to detect carbaryl residue in duck meat efficiently and rapidly when combined with GA-SVR.