Abstract: The method to determine the mulberry silk content in textile by near-infrared (NIR) spectroscopy was studied.The effect of cross-correlation analysis in the quantitative analysis based on partial least squares(PLS) to improve the precision of the model had been proved.The results of blended data show that the predictive precision was enhanced by using cross-correlation analysis,the predicted average absolute error is less than 2.5(the predicted standard error is less than 1.5)and predicted coefficient is more than 0.996.It demonstrates that it is feasible to quickly analyze the mulberry silk content in textile on-line by near-infrared spectroscopy, thus providing a new,nondestructive and fast method for determination of mulberry silk content in textile.