Determination of Dicofol in Tea Using Surface-Enhanced Raman Spectroscopy Coupled Chemometrics

Dicofol is a highly toxic residual pesticide in tea, which seriously endangers human health. A method for detecting dicofol tea by combining stoichiometry with surface-enhanced Raman spectroscopy (SERS) technology was proposed this study. AuNPs were prepared, and silver shells grown on the surface of to obtain core–shell Au@AgNPs. Then, Au@AgNPs attached PDMS membrane physical deposition Au@AgNPs/PDMS substrate. The limit detection (LOD) substrate 4-ATP as low 0.28 × 10−11 mol/L, LOD 0.32 ng/kg, showing high sensitivity. By comparing modeling effects preprocessing variable selection algorithms, it concluded that effect Savitzky–Golay combined competitive adaptive reweighted sampling–partial least squares regression best (Rp = 0.9964, RPD 10.6145). SERS expected rapidly detect without labels.