Pesticide residue is a major problem in food safety. It is particularly important to detect pesticides in fruits and vegetables quickly and effectively The near infrared spectroscopy (NIR) technique was explored as a technique to predict organochlorine pesticides in Mesona chinensis Benth. Fourty-three samples were sacaned powder in a Antaris II FT-NIR. Samples were split into two sets, one set used as calibration (n=35) where the remaining samples (n=S) were used as validation set. The

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... rocyclohexane (BHC). dichlorodiphenyltricliloroethane (DDT) and organochlorine residues were determined by gas chromatography as the reference ratio. The prediction model of total BHC. DDT and organochlorine of mesona chinensis benth was established by partial least square (PLS) method, which were optimized by the optimal spectral band range, spectral pretreatment and regression. Moreover, the prediction ability of the model was verified by validation set. The models gave the results that RMSEC. Rc. RMSEP and Rp of BHC. DDT and organochlorine residues respectively were 0.996. 0.9384, 0.151 and 0.9964; 1.21, 0.9889. 0.409. 0.9852: 2.21. 0.9423, 0.481, 0.9953. The relative errors of the predicted values are within 0.68% - 0.38% and - 0.34% - 6.88% and - 0.46% - 0.58% of the total validation set. It can be seen that the three models have good prediction effect, high precision and high stability, that is. NIR can be used as a simple, non-destructive, reliable and rapid method for the determination of organochlorine pesticide residues in mesona chinensis benth.