A new method for rapid determination of pesticide was developed.Each of the optical sensors utilized in the liquid arrays was comprised of 7 dyes and gold nanoparticle to yield a different response to each pesticide sample.The experimental data were recorded by a 96-well plate reader and analyzed by principal component analysis(PCA)，hierarchical clustering analysis(HCA)and linear discriminant analysis(LDA).The experimental results of PCA showed that the first three principal components reflect 92.69% of the total information and exhibit good recognition capabilities for 5 pesticides.HCA results showed that the classification for 25 samples was correct.LDA suggested that the classification accuracy was 100%.These results demonstrated that the developed visual liquid array system could offer an excellent sensing platform for the identification of pesticide samples,and has an application potential in the detection of pesticide residue.