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作 者:陈健[1] 黄俊仕[1,2] 刘木华[1,2] 袁海超[1,2] 黄双根[1,2] 赵进辉[1,2] 徐宁[1] 王婷[1] 胡围 CHEN Jian;HUANG Jun-shi;LIU Mu-hua;YUAN Hai-chao;HUANG Shuang-gen;ZHAO Jin-hui;XU Ning;WANG Ting;HU Wei(Jiangxi Provincial Key Laboratory of Modern Agricultural Equipment,Jiangxi Agricultural University,Nanchang 330045,China;Jiangxi Provincial Collaborative Innovation Center of Key Technologies and Quality and Safety in Post-Harvest Processing of Fruits and Vegetables,Jiangxi Agricultural University,Nanchang 330045,China)
机构地区:[1]江西农业大学,江西省现代农业装备重点实验室,江西南昌330045 [2]江西农业大学,江西省果蔬采后处理关键技术及质量安全协同创新中心,江西南昌330045
出 处:《光谱学与光谱分析》2021年第5期1367-1372,共6页Spectroscopy and Spectral Analysis
基 金:国家自然科学基金项目(31660485);江西省教育厅科技计划项目(GJJ160350)资助。
摘 要:采用同步荧光技术结合化学计量学方法实现了鸡肉中甲磺酸达氟沙星(DFM)和氧氟沙星(OFL)残留的快速检测。首先,分析了DFM标准溶液、OFL标准溶液、空白鸡肉提取液和含DFM和OFL的鸡肉提取液的同步荧光光谱,确定了鸡肉中DFM和OFL残留的检测波长差(Δλ)分别为130和200nm,荧光激发峰分别为288和325nm。其次,采用单因素试验考察了氢氧化钠溶液浓度和表面活性剂种类对荧光强度的影响,确定了鸡肉中DFM和OFL残留的最佳检测条件为:氢氧化钠溶液浓度0.1mol·L^(-1)和SDS溶液浓度0.1mol·L^(-1)。最后,利用线性回归和偏最小二乘回归(PLSR)及多元线性回归(MLR)算法分别建立了鸡肉中DFM和OFL残留的预测模型。试验结果表明,与基于线性回归和MLR的DFM残留预测模型相比,基于PLSR的DFM残留预测模型的综合评价更好,其预测集决定系数(R2P)为0.9783,预测集均方根误差(RMSEP)为1.9342mg·kg^(-1),相对预测误差(RPD)为5.8765。与基于线性回归和PLSR的OFL残留预测模型相比,基于MLR的OFL残留预测模型的综合评价更好,其R2P为0.8950,RMSEP为3.8598mg·kg^(-1),RPD为2.5091。该方法操作简单、耗时短,可用于鸡肉中DFM和OFL残留的快速检测。The rapid detection for danofloxacin mesylate(DFM)and ofloxacin(OFL)residues in chicken were achieved through synchronous fluorescence technology coupled with chemometric methods.First of all,the synchronous fluorescence spectra of DFM standard solution,OFL standard solution,chicken extract without antibiotics and chicken extract containing DFM and OFL were analyzed,and the wavelength difference(Δλ)of DFM and OFL were respectively determined as 130 and 200 nm,and the fluorescence excitation peaks of DFM and OFL were respectively determined as 288 and 325 nm for the detection of DFM and OFL in chicken,respectively.Subsequently,the effects of the concentrations of sodium hydroxide solution and the type of surfactant on the fluorescence intensities were investigated through the single factor test.The best detection conditions of DFM and OFL residues in chicken were as follows:the concentration of sodium hydroxide solution of 0.1 mol·L^(-1),and the concentration of SDS solution of 0.1 mol·L^(-1).Finally,the prediction models of DFM and OFL residues in chicken were established using linear regression,partial least squares regression(PLSR),and multiple linear regression(MLR),respectively.The experimental results showed that the comprehensive evaluation of DFM residues’prediction model of based on the PLSR algorithm was best among these algorithms.The coefficient of determination for the prediction set(R2 P)and the root mean square error for the prediction set(RMSEP)were 0.9783 and 1.9342 mg·kg^(-1).The ratio of prediction to deviation(RPD)was 5.8765.The comprehensive evaluation of the prediction model of OFL residues based on the MLR algorithm was best among these algorithms.The RP2,RMSEP,and RPD were 0.8950,3.8598 mg·kg^(-1),and 2.5091,respectively.The adopted method was simple and fast,and could to realize the rapid detection of DFM and OFL residues in chicken.
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