The quantification model of zinc rapid analysis in the soil was established by using near-infrared diffuse reflectance spectroscopy and partial least square (PLS) method

and the wave band was optimal selected. All the samples were divided into calibration set and prediction set based on the prediction effect of single wavelength model. And the spectra were pretreated by multiplicative scatter correction (MSC) and Savitzky-Golay (SG) smoothing method. The following five wave bands were selected: the whole region 400-2500nm、400-1100nm、1100-1900nm、1900-2500nm、580-900nm. By adopting the original spectra

the first derivative spectra and the second derivative spectra respectively in each band

15 calibration models were constructed. By simultaneous adjusting SG smoothing point’s number and PLS factor，comparing of many PLS computational experiments for each model

the best model was selected according to the prediction effect. The results show that the prediction effect of the model using the first derivative spectra on 1900-2500nm is the best

and the prediction correlation coefficient (RP)

RMSEP and RRMSEP are 0.806

31.0mg/kg

and 19.96% respectively. It shows that 1900-2500nm can replace the whole band get better calibration effect

and provide basis for the design of special soil near-infrared spectroscopy instrument.