Planta Med 2021; 87(15): 1272-1273
DOI: 10.1055/s-0041-1736856
Abstracts
8. Poster Contributions
8.4 Analytics, recent methodology and applications

Multivariate Data Analysis of LC/MS profiles of Buxus sempervirens L.: Seasonal Variability of Alkaloid profiles and Identification of Antiprotozoal Compounds

LaraU. Szabó
1   Institute of Pharmaceutical Biology and Phytochemistry, University of Münster, Germany
,
Marcel Kaiser
2   Swiss Tropical and Public Health Institute, Basel
3   University of Basel, Switzerland
,
Pascal Mäser
2   Swiss Tropical and Public Health Institute, Basel
3   University of Basel, Switzerland
,
ThomasJ. Schmidt
1   Institute of Pharmaceutical Biology and Phytochemistry, University of Münster, Germany
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All authors have read and agreed to the published version of the conference abstract. LU Szabó received a doctoral fellowship from Apotheker-stiftung Westfalen-Lippe.
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The nor-triterpene alkaloids of Buxus semper-virens have shown conspicuous in vitro activity against the causative agents of malaria tropica and East African sleeping sickness [1]. To characterize the temporal variability in the alkaloid profile and to identify further antiprotozoal compounds of this plant, 30 different extracts of B. sempervirens as well as 20 fractions, exhibiting a wide range of in vitro bioactivity, were analysed by UHPLC/+ESI-QqTOF-MS/MS. The analytical profiles were investigated by multivariate data analysis (MVDA).

The resulting principal component analysis (PCA) model elucidates the seasonal variation in the alkaloid profile. Partial least squares (PLS) regression highlighted several compounds as mainly responsible for the antiprotozoal activity. These compounds were dereplicated on grounds

of their mass spectra, so that several further congeners with strong antiprotozoal activity may now be isolated.

In conclusion, the MVDA models give detailed information on temporal variability in the alkaloid profile of two different varieties and organs (leaf vs. twig) of B. sempervirens and allow to identify the optimal harvesting time for the isolation of compounds with strong antiprotozoal activity.



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Artikel online veröffentlicht:
13. Dezember 2021

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