同步荧光光谱结合CARS变量优选预测猪肉中四环素残留含量

肖海斌; 赵进辉; 袁海超; 洪茜; 刘木华

doi:doi:10.3788/ope.20132110.2513

光学精密工程, 2013, 21 (10): 2513, 网络出版: 2013-11-01

同步荧光光谱结合CARS变量优选预测猪肉中四环素残留含量

Determination of tetracycline content in pork by synchronous fluorescence spectroscopy with CARS method

论文大纲

肖海斌 ^*赵进辉袁海超洪茜刘木华

作者单位

江西农业大学工学院/生物光电及应用重点实验室,江西南昌 330045

摘要

为快速检测猪肉中的四环素残留含量，采用同步荧光法结合竞争适应重加权采样(CARS)变量优选法建立了预测猪肉中四环素残留含量的支持向量回归(SVR)模型。从样本的三维同步荧光光谱中确定了最佳波长差为65 nm，采用CARS方法从中挑选出与四环素相关的特征波长变量，并与连续投影算法(SPA)及遗传算法(GA)进行比较。最后，应用SVR算法对优选出的16个波长变量建立猪肉中四环素含量的预测模型。分析发现，多元散射校正(MSC)光谱预处理后的CARS方法优于SPA及GA变量选择方法，可以有效地筛选出全光谱中的特征波长变量。CARS-SVR建立的四环素预测模型优于原始光谱的SVR模型，其预测集的决定系数(R2)和预测均方根误差(RMSEP)分别为0.961 2和10.94 mg/kg。研究结果表明，采用同步荧光法结合CARS-SVR模型可以预测猪肉中的四环素残留含量，且CARS-SVR能有效地简化模型并提高预测精度。

Abstract

The Support Vector Regression (SVR) prediction model was established for the rapid detection of tetracycline contents in pork by the synchronous fluorescence spectroscopy combined with Competitive Adaptive Reweighted Sampling (CARS) method. The CARS was used to select tetracycline correlative variables of pork samples from spectral data and the optimum wavelength difference was set to be 65 nm. Then, the performance of three variable selection methods including CARS, Successive Project Algorithm (SPA) and Genetic Algorithm (GA) were compared. Finally, the SVR was used to establish the prediction model for tetracycline contents of the pork by using 16 selected variables. The results show that CARS after Multi Scattering Correction(MSC) processing is superior to SPA and GA and can select feature variables of full spectra efficiently. The prediction model of tetracycline by CARS-SVR is superior to the model established by original spectrum SVR, and the determination coefficient (R2) and the Root Mean Square Error of Prediction (RMSEP) in the CARS-SVR model prediction sets are 0.961 2 and 10.94 mg/kg, respectively. The results demonstrate that synchronous fluorescence spectroscopy combined with CARS-SVR is feasible to predict tetracycline contents of the pork, and CARS-SVR method can simplify the model efficiently and improve the prediction precision.

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肖海斌, 赵进辉, 袁海超, 洪茜, 刘木华. 同步荧光光谱结合CARS变量优选预测猪肉中四环素残留含量[J]. 光学精密工程, 2013, 21(10): 2513. XIAO Hai-bin, ZHAO Jin-hui, YUAN Hai-chao, HONG Qian, LIU Mu-hua. Determination of tetracycline content in pork by synchronous fluorescence spectroscopy with CARS method[J]. Optics and Precision Engineering, 2013, 21(10): 2513.

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