A method for determination of olefin hydrocarbons in gasoline products by nearinfrared spectroscopy is presented.The alkene content in the gasoline samples,which were used as the training set for building the calibration model,was determined by detailed hydrocarbon analysis.The spectral data of 1 000～(2 000 nm) were optimized by using Fourier transform near-infrared spectrometry together with cross validated partial least-squares regression.The mean error between the determined values by detailed hydrocarbon(analysis) and the predicted values for the training set samples was 0.2%,and an excellent correlation was(obtained)(R^2=0.988 1).The mean error for unknown samples determined by detailed hydrocarbon analysis and NIR was 0.39%.
