Structural characterisation and discrimination of the aerial parts of Paris polyphylla var. yunnanensis and Paris polyphylla var. chinensis by UHPLC‐QTOF‐MS coupled with multivariate data analysis
| Autor: | Mei-Hong Chen, Yuan-Zhong Wang, Jie Yang, Meng-Yuan Liang, Ping Li, Xin Qiao, Xiao-Dong Wen, Yawen Lu |
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| Rok vydání: | 2019 |
| Předmět: |
biology
Traditional medicine Chemistry Uhplc qtof ms 010401 analytical chemistry Paris polyphylla Economic shortage Plant Science General Medicine biology.organism_classification 01 natural sciences Biochemistry Polyphylla 0104 chemical sciences Analytical Chemistry 010404 medicinal & biomolecular chemistry Steroid Saponins Complementary and alternative medicine Drug Discovery Paris polyphylla var. chinensis Molecular Medicine Multivariate statistical Paris polyphylla var. yunnanensis Food Science |
| Zdroj: | Phytochemical Analysis. 30:437-446 |
| ISSN: | 1099-1565 0958-0344 |
| DOI: | 10.1002/pca.2826 |
| Popis: | Introduction As sources of Rhizoma Paridis are facing shortages, utilising the aerial parts of Paris polyphylla has emerged as a promising additional source. However, the components in the aerial parts still need to be explored, and it is difficult to distinguish the aerial parts of P. polyphylla Smith var. yunnanensis (PPY) and P. polyphylla var. chinensis (PPC), two varieties of P. polyphylla. Objective This study aimed to establish a comprehensive platform to characterise steroid saponins from the aerial parts of PPY and PPC and to discriminate these two varieties. Methodology A dereplication approach and ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS) analysis were used for the characterisation of steroidal saponins in the aerial parts of PPY and PPC. Multivariate statistical analysis was performed to differentiate these two varieties and screen discriminant variables. In addition, a genetic algorithm-optimised for support vector machines (GA-SVM) model was developed to predict P. polyphylla samples. The distribution of steroidal saponins in PPY and PPC was visualised by a heatmap. Results A total of 102 compounds were characterised from the aerial parts of PPY and PPC by dereplication. A clear separation of PPY and PPC was achieved, and 35 saponins were screened as marker compounds. The established GA-SVM model showed excellent prediction performance with a prediction accuracy of 100%. Conclusions Many steroid saponins that have been reported in Rhizoma Paridis also exist in the aerial parts of P. polyphylla. Samples from the aerial parts of PPY and PPC could be discriminated using our platform. |
| Databáze: | OpenAIRE |
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