Edible oil identification method based on mass spectrum and principal component analysis

The invention discloses an edible oil identification method based on mass spectrum and principal component analysis. According to the method, a mass spectrometer is used as an analytical tool, mass spectrum data of edible oil standard samples are acquired, feature mass spectrum data capable of significantly distinguishing all the edible oil standard samples through principal component analysis are extracted with a mass spectrum data pre-screening method, and an edible oil standard sample mass spectrum database is established to effectively identify unknown edible oil samples. According to the method, the edible oil identification capacity is improved through the improvement on a follow-up mass spectrum data processing method, increase of a sample preprocessing step and improvement on technical levels of analytical instruments are not required, large quantities of manpower, material resources and time costs are saved, and the method is a new edible oil identification method.