Abstract: In order to establish a general model for qualitative and quantitative analysis of alcohol gasoline, mid-infrared spectra of methanol gasoline and ethanol gasoline were obtained by using WQF-510A Fourier transform infrared spectrometer and OPUS spectral acquisition software. Principal component (PC) analysis and partial least square (PLS) discrimination were used to identify the alcohol gasoline samples. Band screening was conducted by uninformation variable elimination(UVE). The general model of alcohol gasoline was established based on UVE-PLS and UVE-LSSVM (least square support vector machine) and the data were evaluated. The results show that, the accuracy rate of qualitative discrimination of alcohol gasoline by PC analysis and PLS discrimination is 100%.The general model based on UVE-LSSVM method has the best effect, with root mean square error prediction of 2.187 and decision coefficient of 0.945 respectively. The general model is feasible to identify alcohol gasoline by qualitative and quantitative analysis, which can be used as technical reference and theoretical basis for alcohol gasoline alcohol content detection.