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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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OPLS score plot derived from GC–MS dataset modelling of Spirulina (S3 and S4) samples against Chlorella (Chl.) and Amphora (Am.) samples each at a time (A,C). Their corresponding S-plots (B,D) show the covariance p¹ against the correlation p(cor)¹ of the variables of the discriminating component of the OPLS-DA model. Cut-off values of P < 0.05 were used,selected variables are highlighted in the S-plot with identifications are discussed in text. Refer to Supplementary Table S3 for sample codes.