The study was aimed to explore the feasibility and methods of detecting and quantifying melamine adulterated in fish meal by Fourier transform near infrared spectroscopy (FT-NIR). In this study, a total of 106 commercial fed fish meal samples were collected, and 236 adulterated fish meal were prepared by adding different concentration gradient of melamine standard to the fed fish meal samples, melamine content ranging from 0.1% to 15.0%. The spectral data was collected by FT-NIR; a qualitative model was established by factorization algorithm; quantitive model was established by partial least squares (PLS) regression algorithm. The results showed as follows: 6 873.4～6 514.7 cm-1 was selected to establish qualitative analysis model according to the spectra of melamine standard and fed fish meal, and the correct classification rate of the qualitative analysis model to discriminating the validation set samples was 96.5%. And the characteristic spectra of quantitive analysis were 7 560.0～7 058.5, 6 915.8～6 098.1 and 4 601.6～4 246.7 cm-1. The root mean square error of cross validation (RMSECV) of the 0.1～15.0% model and the 0.1～5.5% model, which were established with these characteristic spectra, were 0.634% and 0.210%, and the coefficient of determination (R2) was 94.77% and 98.59%, and the root mean square error of prediction (RMSEP) was 0.779% and 0.188% respectively. In conclusion, FT-NIR could quickly and exactly detect whether fish meal was adulterated by melamine and predict melamine content.［Chinese Journal of Animal Nutrition, 2010，22（3）:741-749］