Abstract: In order to quickly detect the contents of main nutrition indicators of canned citrus,the experiment was conducted to spectral acquisition of canned citrus,by Partial Least Squares(PLS) linear fit to establish Nearinfrared quantitative analysis model on canned citrus total sugar,acid,flavonoids and vitamin C. Analyzed and compared the effects of different spectral pretreatment methods on Near- infrared spectroscopy models, in which the normalized model of total sugar and flavonoids were optimal,correlation coefficients were 0.9156 and0.9147,root mean square error of cross-validation(RMSECV) were 0.6305% and 2.7028 mg/100 g. Smoothed model of total acid correlation coefficient was 0.8921,RMSECV was 0.0539%. Model of vitamin C based on raw spectral data whose correlation coefficient was 0.9129,RMSECV was 1.4323 mg/100 g. Through validation,prediction set of total sugar,total acid,flavonoids and vitamin C correlation coefficient were 0.8519,0.8106,0.8334 and 0.8425,predict root mean square error(RMSEP) were 0.8969%,0.0638%,3.6055 mg/100 g and1.9732 mg/100 g. The results showed that Near-infrared spectroscopy for rapid detection of canned citrus total sugar,total acid,flavonoids and vitamin C content was feasible.