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作 者:肖海斌[1] 赵进辉[1,2] 袁海超[1] 徐将[1] 李倩[1] 刘木华[1]
机构地区:[1]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 [2]华南农业大学南方农业机械与装备关键技术省部共建教育部重点实验室,广东广州510642
出 处:《分析测试学报》2013年第3期357-361,共5页Journal of Instrumental Analysis
基 金:国家科技支撑计划课题(2012BAK17B02);国家自然科学基金项目(31101295);新世纪优秀人才计划(NCET-09-0168);江西省教育厅科技计划项目(GJJ12244);江西省研究生创新专项项目(YC2012-S059);南方农业机械与装备关键技术省部共建教育部重点实验室开放研究课题
摘 要:为了满足鸭肉中克百威残留分析及快速检测的要求,基于克百威水解物在巯基乙醇存在的条件下能与邻苯二甲醛反应产生具有强荧光性衍生物的方法,建立了应用同步荧光光谱法测定鸭肉中克百威残留量的预测模型。对含有克百威鸭肉样品的三维同步荧光光谱进行分析,确定其最佳波长差Δλ为120 nm;利用遗传算法(GA)结合交互验证均方根误差(RMSECV)从240~450 nm光谱中筛选出19个波长作为定量分析模型的输入特征变量;对SVR、PCR、PLS 3种回归模型的性能进行比较,实验发现SVR模型的预测结果最好,其预测集的决定系数(r2)和预测均方根误差(RMSEP)分别为0.999 4和0.878 7。研究结果表明,采用同步荧光光谱法结合支持向量回归算法测定鸭肉中克百威的残留量,具有快速、预测精度高等特点,可为检测鸭肉中的克百威残留量提供一种可行的方法。A prediction model was established for the rapid analysis of carbofuran residue in duck meat by synchronous fluorescence spectroscopy method, based on the condition that the strong fluorescent derivatives can be generated in the reaction between carbofuran hydrolyzate and phthaldialde- hyde(OPA) in the presence of mercaptoethanol. The 3D synchronous fluorescence spectra of the duck meat containing carbofuran were analyzed, and 120 nm was selected as the optimum wavelength difference. 19 wavelengths between 240 nm and 450 nm were selected as the input features for quan- titative analysis models using genetic algorithm combined with the root mean square error of cross-validation. The performances of three regression models, SVR, PCR and PLS were compared, and the results showed that the prediction of SVR regression model was the best, the determination coefficient ( r^2 ) and the root mean squared error of prediction (RMSEP) for the prediction samples were 0. 999 4 and 0. 878 7, respectively. The results approved that the method of synchronous fluorescence analysis with SVR had a good performance and accuracy in quick test, and was applicable for the detection of carbofuran residue in duck meat.
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