The potential of Confocal micro-Raman spectroscopy in the quantitative analysis of pesticide (Chlorpyrifos, Omethoate) residues on orange surface is investigated in this work. Quantitative analysis models were established by partial least squares (PLS) using different preprocessing methods (Smoothing, First derivative, MSC, Baseline) for pesticide residues. For pesticide residues, the higher correlation coefficients (r) is 0.972 and 0.943, the root mean square error of prediction (RMSEP) is 2.05% and 2.36%, respectively. It is therefore clear that Confocal micro- Raman spectroscopy techniques enable rapid, nondestructive and reliable measurements, so Raman spectrometry appears to be a promising tool for pesticide residues.