《Table 4 SPA-PLS modeling results》

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《Study on Detection of Pesticide Residues on Winter Jujube Surface by Near-infrared Spectroscopy Combined with PLS and SPA》

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Five characteristic wavelengths were selected from the original spectra by SPA，and SPA-PLS models were built still with the three preprocessing methods and original spectra.Their modeling precision and predictive ability in the classification of pesticide residue on winter jujube are shown in Table 4.It could be seen from the modeling precision and prediction ability of the PLS models in Table 3 that for the original spectra，the SEP increased from0.653 683 to 0.691 782；RMSECV increased from 0.573 286 to0.782 928；R decreased from 0.886 780 to 0.872 192；and the precision was improved from 0.737 027 to 0.795 669.As to SG-FD，SEP increased from 0.739 075 to 0.771 944；RMSECV increased from 0.005 520 to 0.365 338；R decreased from0.852 575 to 0.837 885；and precision was improved from0.694 676 to 0.761 169.For MSC，SEP decreased from1.232 677 to 0.708 189；RMSECV decreased from 0.689 179 to0.033 439；R increased from 0.490 157 to 0.865 583；and precision was improved from 0.478 865 to 0.668 338.In the case of MSC，SEP decreased from 1.117 406 to 0.916 856；RMSECV decreased from 1.609 444 to 1.000 208；R increased from 0.612 946to 0.761 372；and precision was improved from 0.485 502 to0.558 819.The results showed that SPA-PLS only used five characteristic wavelengths for modeling，and the number of used variables only accounted for 0.32%of the full-wave band，while the accuracy and precision of the built model for pesticide residue on winter jujube surface were better than those of the PLS model built in the full-wave band.This is because that the peaks of near infrared spectra seriously overlap and comprise much redundant information，and the full-wave band also comprises massive information not related to chlorpyrifos，and the modeling using all the information of the spectra reduced model performance to a certain extent[20].However，the models built on the basis of the effective characteristic variables selected from the full-wave band by SPA reserved useful information to the largest extent，and got rid of massive useless and redundant information，and the precision and stability of the models were improved.