采用GC-IMS联用分析技术对5种食用植物油中有机挥发性组分进行指纹信息提取、表征和数据挖掘，达到食用植物油品质指标的快速无损的定性、定量分析目的。通过检测参数的优化方法研究，建立1套规范的检测参数的优化试验方案。研究食用植物油中挥发性有机成分指纹信息的表征新方法，采用特征峰坐标、数量、强度和峰截面积等表征同类食用植物油有机挥发性组分的共享指纹谱、不同类食用植物油有机挥发性组分专属指纹谱，并对表征和信息提取方法进行科学评价，并结合化学计量学方法建立判别模型，解决三维信息应用的信息提取、表征和数据挖掘等通用性问题，为类似联用分析仪器的信息处理提供理论基础和应用支持。项目最终完成从分子水平角度分析挥发性有机成分的变化规律，建立5种常用食用植物油的种类判别、产地、工艺、酸败、有机溶剂残留的定性和定量模型，完成三维信息谱图通用分析软件1套。

GC-IMS analytical technology is employed to retrieve and characterize fingerprint information of five volatile organic components in edible vegetable oil, based on which further data mining is conducted to realize rapid and non-destructive determination of edible vegetable oil quality qualitatively and quantitatively. Through optimizing determination parameters, a set of normalized parameter optimization procedure is to be established. New methods for characterizing fingerprint information of volatile organic components will be studied. Coordinate, number, intensity and cross-sectional area of characteristic peaks are used to characterize the shared fingerprints of the same volatile organic component in edible vegetable oil and the specialized fingerprints of different volatile organic component in edible vegetable oil. Meanwhile, scientific measures are employed to evaluate the effectiveness of above-mentioned information retrieval and characterization methods. After combining with chemometric methods, discrimination models are established to solve the problems in retrieving and characterizing three-dimensional information and in data mining of the obtained information, thus to provide theoretical basis and technological support to information processing in application of similar analytical instruments. Upon completion of this research program, the variation regularity of volatile organic components will be elucidated at molecular level, qualitative and quantitative discrimination models will be established for determining type, place of origin, processing method, rancidity, and organic solvent residues of five types of common edible vegetable oil, and a set of analytical software will be developed for generalized analysis of three-dimensional information spectra.