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. 2023 Jul 19;13:11645. doi: 10.1038/s41598-023-38790-7

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© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Identification of tansy chemotypes via GC–MS and LC–MS analyses. (a) Principal component analysis biplot illustrating the discrimination of tansy chemotypes using GC–MS data (52 features). (b) Representation of the levels of the 39 significant GC–MS features (Tukey’s test, P < 0.05, FDR correction) differentiating chemotypes via clustering analysis (Pearson correlation, Ward algorithm). (c) Clustering analysis (Pearson correlation, Ward algorithm) of tansy chemotypes using 809 significant LCMS features (Tukey’s test, P < 0.05 after FDR correction). Keto: artemisia ketone chemotype, Bthu: β-thujone chemotype, ABThu: α-/β- thujone chemotype, Aacet: artemisyl acetate/artemisia ketone/artemisia alcohol chemotype, Myrox: (Z)-myroxide/santolina triene/artemisyl acetate chemotype.