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. 2017 Oct 30;1:1. doi: 10.1038/s41538-017-0001-5

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© The Author(s) 2017

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — Multivariate statistical analyses of all mass features from FT-ICR-MS experiments. a PCA score plot of wines from the Tonnellerie 2000 experiment with three distinct grape varieties: Pinot noir (blue), Grenache (red) and Shiraz (purple), and showing SV1 wines (gray); PC1 and PC2 explained 47.3 and 32.9% of the variance. b PCA score plot of SV1 samples along with 77 Pinot noir red wines from Burgundy. PC1/PC2/PC3 explained 50.1% of the total variability (color code: wines younger than 1990, green; wine older than 1990, yellow; Pommard 1921 wines, orange; RSV 1915, red; SV1, blue)