Objective: To establish an accurate and effective identification model for dried pericarps of Citrus reticulate ‘Chachi’(named guangchenpi) and dried pericarps from other Citrus reticulata Blanco varieties(named chenpi), so as to provide a new way for protecting the geographical indications of Traditional Chinese Medicine(TCM). Methods: The volatile components in guangchenpi and chenpi were analyzed by headspace-gas chromatography-ion mobility spectrometry(HS-GC-IMS) and headspace-gas chromatography(HS-GC). Principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were performed by chempattern software to establish the distinguishing model for guangchenpi and chenpi. Results: 109 signals were detected in guangchenpi and chenpi by HS-GC-IMS, and 24 chromatographic peaks were detected by HS-GC. The PLS-DA results showed that these two techniques could distinguish guangchenpi and chenpi. Among these two methods, HS-GC-IMS reflected the volatile components more comprehensively and presented preferably for the differences between guangchenpi and chenpi. 18 potential differential signals were screened by dynamic PCA, among which 15 signals were the main components of guangchenpi. Furthermore, 13 components were discerned by qualitative software to provide data basis for genuine monitoring and clinical application. In our study, the analysis with dimensionality reduction could identify guangchenpi and chenpi effectively. Conclusion: The identification model of guangchenpi and chenpi established by HS-GC-IMS combined with chemometrics is rapid, accurate and efficient, which provids a new way for discriminating the related varieties of TCM with volatile components.
LIU Zhu-jie, LIN Tong, HOU Hui-chan, LÜ Wei-sheng
. Comparative investigation of Citrus reticulate ‘Chachi’ and other Citrus reticulata Blanco varieties by HS-GC-IMS and HS-GC*[J]. Chinese Journal of Pharmaceutical Analysis, 2022
, 42(9)
: 1554
-1560
.
DOI: 10.16155/j.0254-1793.2022.09.08
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