Automatic identification peaks in chromatographic fingerprints based on fuzzy matching

Aiming at the problem of retention time shift in chromatographic fingerprints of herbal medicine, a method for automatic identification peaks based on fuzzy matching was proposed, which extracted features according to relative retention factor, introduced the principles of “maximal matching degree” and “beyond threshold value”. The method was successfully applied in the experiment on the 28 chromatographic fingerprints of different batches of Exocarpium Citrus Grandis. The results showed that the scheme could avoid the shortcomings of previous algorithms, such as requirement for expertise and complex operations, and provided a new idea for rapid, effective identification common peaks and extraction common pattern without manual supervision.