Quantitative detection of five kinds of raw materials (peanut oil, sesame oil, rapeseed oil, soybean oil and corn oil) in blended edible oil was realized by laser Raman spectroscopy combined with Partial Least Squares method. Firstly, the 169.58 ~ 1813.61cm-1 spectral region with abundant fatty acid information was selected, and the spectral denoising and purification of the spectral region were carried out by first derivative + Norris 3 preconditioning. Then, Raman quantitative detection model was established for raw material components of blended edible oil by using Partial Least Squares. The correlation coefficients of calibration set of peanut oil, sesame oil, rapeseed oil, soybean oil and corn oil were 0.9998, 0.9418, 0.9988, 0.9998,0.9961, respectively. And the correlation coefficients of the verification set were 0.9435, 0.8593, 0.9542, 0.9676,0.9429, respectively. The root mean square error (RMSE) were 0.117, 0.218, 0.128, 0.125,0.179, respectively. The results showed that laser Raman spectroscopy combined with chemometric resolution method can be used to determine the contents of raw material components in blended edible oil quickly and accurately. The good prediction ability can provide a theoretical basis for rapid detection of the content of blended edible oil.