基于表面增强荧光的鸡蛋蛋清中土霉素残留含量检测分析

Detection and Analysis of Oxytetracycline Content in Egg White Using Surface Enhanced Fluorescence

以银纳米颗粒（AgNPs）作为表面增强荧光基底，形成的OTC—Eu—AgNPs～Egg white体系具有强荧光特性，可实现鸡蛋蛋清中土霉素残留含量的检测分析。分析了OTC—Eu—AgNPs—Egg white体系的三维荧光光谱，确定了最佳激发波长为380nm。分析了AgNPs加入量、Eu^3＋加入量、反应时间和金属共存离子对荧光强度的影响，确定了实验中的AgNPs加入量和Eu^3＋加入量分别为0．25mL和0．01mL。应用最小二乘支持向量回归（LSSVR）在光谱区间605～630nm建立了鸡蛋蛋清中土霉素残留含量检测的预测模型，模型预测集的决定系数（R^2）和预测均方根误差（RMSEP）分别为0．9909和0．9079mg／L，说明铕（Ⅲ）的AgNPs增强荧光结合LSSVR可用于鸡蛋蛋清中土霉素残留含量的检测。

With silver nanoparticles （AgNPs） as the substrate of the surface enhanced fluorescence, the OTC-Eu- AgNPs-Egg white system has a strong fluorescent characteristic, and the detection and analysis of oxytetracycline content in egg white can be realized. Three dimensional fluorescence spectra of the OTC-Eu-AgNPs-Egg white system is analyzed, and 380 nm is selected as the best excitation wavelength. Effect of the addition amount of AgNPs and Eu^3＋, reaction time and metal ions on fluorescence intensity is investigated, and the addition amount of AgNPs and Eu^3＋ is determined as 0.25 mL and 0.01 mL, respectively. A prediction model for determination of oxytetracycline content in egg white is established by using least squares support vector regression （LSSVR） between 605 nm and 630 nm, and the determination coefficient （R^2） and root mean squared error of prediction （RMSEP） are 0.9909 and 0.9079 mg/L, respectively. The results show that silver nanoparticle enhanced fluorescence of europium （Ⅲ） combined with LSSVR can be used to detect the oxytetracycline residue in egg white.