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. 2024 Feb 2;14:2809. doi: 10.1038/s41598-024-53219-5

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© The Author(s) 2024

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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Principal component analysis (PCA) and hierarchical clustering analysis (HCA) of GC–MS dataset of Spirulina (S1, S3 & S4), Amphora (Am.), Chlorella (Chl.). (A) Score plot of PC1 vs. PC2 scores. (B) Loading plot for PC1 & PC2 contributing metabolites and their assignments. The metabolome clusters are located at the distinct positions in two-dimensional space described by two vectors of principal component 1 (PC1) and principal component 2 (PC2) = 78.7% and PC2 = 8.2%. (C) HCA plot. Refer to Supplementary Table S3 for sample codes.