Rapid Detection of Quinolone Antibiotics Residues in Chicken Eggs by Surface?enhanced Raman Spectroscopy Combined with Chemometrics

The issue of antibiotic abuse and residues has attracted more and more attention. Combined with surface-enhanced Raman spectroscopy (SERS),QuEChERS (Quick,easy,cheap,effective,rugged,rafe) rapid sample preparation and chemometric methods,a simple,sensitive and rapid method was established to detect quinolone antibiotic residues in chicken eggs. The effectiveness of 0 2% formic acid-acetonitrile solution for extracting quinolone antibiotic residues in egg white was determined,and the detection limit of enrofloxacin was 0 1783 mg/kg. Univariate regression models based on Raman characteristic peaks and a partial least squares regression (PLSR)model based on full spectrum were established,and the effectiveness and performance of competitive adaptive weighted sampling,random frog,and successive projections algorithms for enrofloxacin SERS characteristic spectral variable screening were studied. The PLSR model established by 11 variables selected by random frog algorithm obtained the lowest root mean square error of cross validation set (RMSECV = 0 1346 mg/ kg)and root mean square error of prediction set (RMSEP = 0 1380 mg/ kg),indicating that the multispectral variables were closely related to enrofloxacin concentration in eggs. The results showed that SERS technique based on rapid sample pretreatment and chemometrics could achieve rapid quantitative prediction of quinolone antibiotic residues in eggs,so as to monitor the quality and safety of eggs.