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. 2023 Jan 24;13(2):173. doi: 10.3390/metabo13020173

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© 2023 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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(A) The principal component analysis (PCA) score plot. (B) The loading plot of all the coffee samples, analyzed using NMR. (C) Hierarchical cluster analysis (HCA) plot. (D) OPLS-DA model for the roasted samples (RCA and RCC) vs. the Luwak coffee (PWN). (E) The S-loading plot showing the covariance p [1] against the correlation p(cor) [1], analyzed by 1 H NMR, shown at a full scale (F) OPLS-DA score plot for the roasted samples versus the roasted aromatic region. (G) The S-loading plot for the aromatic region. Selected variables are highlighted and discussed in the text.

(A) The principal component analysis (PCA) score plot. (B) The loading plot of all the coffee samples, analyzed using NMR. (C) Hierarchical cluster analysis (HCA) plot. (D) OPLS-DA model for the roasted samples (RCA and RCC) vs. the Luwak coffee (PWN). (E) The S-loading plot showing the covariance p [1] against the correlation p(cor) [1], analyzed by 1 H NMR, shown at a full scale (F) OPLS-DA score plot for the roasted samples versus the roasted aromatic region. (G) The S-loading plot for the aromatic region. Selected variables are highlighted and discussed in the text.