智慧型特徵質譜圖譜與鑑別模型建立之方法以及分析、鑑別微生物表徵之方法

The present invention discloses a method for establishing intelligent feature mass spectrum and identifying model, and a method for analyzing and identifying microbial representation, including the following steps: obtaining data of matrix-assisted laser desorption ionization time-of-flight mass spectrometry of microorganisms with the same representation, and performing discretization and density-based clustering on the data to establish a feature mass spectrum of the representation; repeating the above steps to obtain feature mass spectra of a plurality of representations, establishing a representation classification module by using a machine learning algorithm; analyzing a microorganism with an unknown representation by the matrix-assisted laser desorption ionization time-of-flight mass spectrometry and performing discretization, and then performing feature signal comparison on the discretized mass spectrum data and the feature mass spectrum of each representation to form a comparison vector; and then analyzing the comparison vector by the representation classification module, and identifying the microorganism with the unknown representation. By means of the above steps, the accuracy and resolution of identifying the representation of the microorganism can be improved, and a method for relatively rapidly and accurately identifying the representation of the microorganism can be provided.