Identifying Doxycycline Hydrochloride and Tylosin in Chicken Using Surface-Enhanced Raman Spectroscopy

Abstract

Because antibiotics are regularly used for chicken, food safety is of utmost importance, and health experts pay attention to the effect antibiotics could have on human health. This study examines how surface-enhanced Raman spectroscopy (SERS) was used to identify two antibiotic residues in chicken, doxycycline hydrochloride (DCH) and tylosin (TYL). A single-factor experiment method was adopted to optimize the SERS detection conditions. Results show that the SERS intensities of the chicken samples containing DCH and TYL had greater effectiveness in the peaks of 672 and 771 cm-1 under gold nanoparticles (Au NPs) as the enhancement substrate at 10 min of the optimal adsorption time. The original SERS spectra were pretreated using the method of adaptive iterative penalty least square (air-PLS) and the second derivative, where the feature vectors were extracted by principal component analysis (PCA). The first four principal component scoring was selected as the input values of linear discriminant analysis (LDA) with an overall classification accuracy of 100% for the test set. The experimental results show that SERS technology can identify DCH and TYL in chicken.