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采用表面增强拉曼光谱(SERS)技术建立了鸭肉中呋喃它酮代谢物(AMOZ)残留检测的方法。研究以纳米金胶和NaCl作为SERS增强基底,并利用自适应迭代重加权惩罚最小二乘法(air-PLS)扣除光谱中的背景信号,确定了拉曼位移为801 cm~(-1)处的特征峰可作为鸭肉中AMOZ的特征峰。利用单因素分析法得出试验中纳米金胶、待测样品及Na Cl的最佳加入量分别为1.2 m L,35μL及100μL,且最佳吸附时间为1 min。并在此基础上建立了鸭肉提取液中AMOZ质量浓度范围为0.5~12 mg/L时特征峰强度Y与鸭肉提取液中AMOZ质量浓度X之间的线性关系,得到其线性方程为Y=224.99X+718.83,决定系数(R2)为0.9961,最低检测限为0.5 mg/L,并得到其预测集样本中回收率的范围为97.2%~119.1%。结果表明,该方法线性关系良好,可用于鸭肉中AMOZ残留的快速检测。
Surface enhanced Raman spectroscopy (SERS) was used to establish a method for the determination of furosemide metabolites (AMOZ) in duck meat. In this paper, nano-gold gel and NaCl were used as substrates for SERS enhancement, and the background signal in the spectra was deducted by using adaptive iterative weighted-PLS to determine the Raman shift at 801 cm -1 The characteristic peak can be used as the characteristic peak of AMOZ in duck meat. The results showed that the best addition amount of NaCl was 1.2 m L, 35 μL and 100 μL, respectively, and the optimal adsorption time was 1 min. On this basis, the linear relationship between the characteristic peak intensity Y and the AMOZ mass concentration X in duck extract was established when the concentration of AMOZ in duck extract ranged from 0.5 to 12 mg / L, and the linear equation was Y = 224.99X + 718.83, the determination coefficient (R2) was 0.9961, the lowest detection limit was 0.5 mg / L, and the range of recoveries of the predicted samples was 97.2% ~ 119.1%. The results show that this method has good linearity and can be used for the rapid detection of AMOZ residues in duck meat.