Infrared fingerprint analysis of Syngnathus's ethanol extracts coupled with cluster analysis, principal component analysis and discriminant analysis / 中国药学杂志

ABSTRACT

OBJECTIVE: To establish a validated infrared spectrum method coupled with cluster analysis, principal component a-nalysis and discriminant analysis for identifying different kinds of Syngnathus. METHODS: Fourier transform infrared (FTIR) spectrometer was performed on the ethanol extracts from 33 samples of Syngnathus collected from different geographical locations. Similarity analysis and cluster analysis were used to establish the reference fingerprint spectra, and principal component analysis and discriminant analysis were used for identifying different kinds of Syngnathus. RESULTS: The experimental results indicated that the samples of same species had the similar characteristic peaks of infrared spectra and could be clustered together. Based on the result of principal component analysis, the absorption peaks(3010.4-3006.5 cm-1, 1745.3-1741.4 cm-1, 1467.6-1463.7 cm-1, 1417.4-1413.6 cm-1, 1168.7-1164.8 cm-1, 723.2-719.3 cm-1, 2925.5-2919.7 cm-1, 2854.2-2850.3 cm-1) were the main characteristic peaks and were used to develop the discrimination function for distinguishing different species of Syngnathus. The accuracy of the discrimination function could reach 98.75%. The established method in the experiment had a good stability, precision and reproducibility, and was a very reliable and useful method for distinguishing different species and assessment of the quality of Syngnathus. CONCLUSION: The established IR fingerprints of Syngnathus's ethanol extracts coupled with mathematical statistics theory could be applied to identify different kinds of Syngnathus. But more importantly, the research job provides a new thought for traditional Chinese medicine identification by using mathematical model.