SELF-LEARNING-TYPE QUALITATIVE ANALYSIS METHOD BASED ON RAMAN SPECTRUM

摘要

Disclosed is a method for carrying out self-learning-type qualitative analysis based on a Raman spectrum. The method comprises: a Raman spectrum acquisition step for acquiring a Raman spectrum; a feature extraction and comparison step for extracting spectrum data and comparing same with a spectrum feature library of a spectrogram library so as to obtain an original recognition substance ID list; a similarity comparison step for obtaining, by means of calculation, the similarity between substance IDs in the original recognition substance ID list for the Raman spectrum so as to generate a similarity list, and comparing same with a similarity threshold value library in the spectrogram library; and a substance ID selection step for verifying, based on a self-learning library, a list, obtained after comparison with a similarity threshold value, of similarity recognition substance IDs, the similarity thereof exceeding a threshold value, comprising when there is, in the similarity list, a substance ID exceeding a threshold value corresponding to a substance ID in the similarity threshold value library, executing false positive detection; and when there is not, in the similarity list, a substance ID exceeding a threshold value corresponding to a substance ID in the similarity threshold value library, executing false negative detection.