基于同步荧光光谱的鸡肉中抗生素残留量快速检测

Rapid Detecting of Antibiotics Residues in Chicken Based on Synchronous Fluorescence Spectrum

摘要:

研究应用同步荧光技术对鸡肉中盐酸沙拉沙星（SARH）和盐酸强力霉素（DCH）残留快速检测的可行性。首先，分析了SARH标准溶液、DCH标准溶液、空白鸡肉提取液和含SARH及DCH的鸡肉提取液的三维同步荧光光谱，确定了鸡肉中SARH和DCH残留检测的波长差Δλ都为110nm，荧光激发峰分别为320nm和381nm。其次，采用单因素试验考察了硫酸镁溶液浓度和SDS溶液浓度及时间对荧光强度的影响，确定了鸡肉中SARH和DCH残留的最佳检测条件为：硫酸镁溶液浓度0.375mol/L、SDS溶液浓度0.300mol/L和采集时间12min。最后，利用多元线性回归（MLR）、偏最小二乘回归（PLSR）和支持向量回归（SVR）算法分别建立了鸡肉中SARH和DCH残留的预测模型。试验结果表明，与基于MLR和SVR的预测模型相比，基于PLSR的预测模型综合评价更好。基于PLSR的SARH残留预测模型的预测集决定系数R2P为0.8465，预测集均方根误差（RMSEP）为0.3441mg/kg，相对预测误差（RPD）为2.5882。基于PLSR的DCH残留预测模型的R2P为0.9141，RMSEP为5.8909mg/kg，RPD为3.2435。由此可见，应用同步荧光技术检测鸡肉中SARH和DCH残留是可行的，该方法简便、快速，为鸡肉中SARH和DCH残留的快速检测提供了参考。

Abstract:

The feasibility of applying synchronous fluorescence technology was studied to quickly detect the residues of sarafloxacin hydrochloride (SARH) and doxycycline hydrochloride (DCH) in chicken. Firstly, the three-dimensional synchronous fluorescence spectra of SARH standard solution, DCH standard solution, chicken extract without antibiotics and chicken extract containing SARH and DCH were analyzed, and the wavelength difference Δλ of both SARH and DCH were determined as 110nm, and the fluorescence excitation peaks of SARH and DCH were respectively determined as 320nm and 381nm for the detection of SARH and DCH residues in chicken. Secondly, the effects of the concentrations of magnesium sulfate solution and SDS solution, as well as time, on the fluorescence intensities through the single factor test were analyzed. The best detection conditions of SARH and DCH residues in chicken were as follows: the concentration of magnesium sulfate solution of 0.375mol/L, the concentration of SDS solution of 0.300 mol/L and time of 12min. Thirdly, the prediction models of SARH and DCH residues in chicken were established through the algorithms of multiple linear regression (MLR), partial least squares regression (PLSR), and support vector regression (SVR), respectively. The experimental results showed that the comprehensive evaluation of the prediction model based on the PLSR algorithm was the best among these algorithms. For the prediction model of SARH residues based on the PLSR algorithm, the R2P, RMSEP, and RPD were 0.8465, 0.3441mg/kg, and 2.5882, respectively. For the prediction model of DCH prediction based on the PLSR algorithm, the R2P, RMSEP, and RPD were 0.9141, 5.8909mg/kg, and 3.2435, respectively. The results showed that the detection of SARH and DCH residues in chicken was feasible through synchronous fluorescence technique, the implemented method was straightforward and fast, and could provide a reference for the rapid detection of SARH and DCH residues in chicken.