The surface-enhanced Raman spectroscopy (SERS) technology and the two-dimensional correlation spectroscopy (2D-COS) were used to optimize the characteristic variables of the Enrofloxacin in chicken meat. The partial least squares regression method (PLSR) was used to establish Enro the characteristic peak analysis model of sand star was compared with the competitive positive adaptive weighting algorithm (CARS). The results showed that the 2D-COS-PLSR model has the best effect, and its Rc and Rp were 0.979 7, 0.997 2 respectively, which shows that it is feasible to use 2D-COS to optimize the characteristic spectral peaks related to the concentration of enrofloxacin in chicken.