Fig. 3 | Scientific Reports

Fig. 3

From: Fermenting shea nuts using the traditional pit method yields better physicochemical properties with potential environmental benefits

Fig. 3

A heatmap showing the relative intensities of 60 compounds grouped in 7 different compound classes in 28 samples of shea kernels. The shea kernel samples, with individual sample IDs at the bottom of the figure, are shown as vertical columns and are grouped from left to right as fresh kernels from site 4, followed by 3- and 6-month pit kernels from site 4 together with a 6-month pit kernel sample obtained the previous year (2020) from site 5. The boiled kernels from sites 1, 2 and 3 are all shown to the right hand side of the heatmap. Sixty lipids were consistently identified in the samples, and are here shown as horizontal lines, and grouped into compound classes: (a) FFA, (b) FAME, (c) MG/DG, (d) TG, (e) sulfoquinovosyldiacylglycerols (SQDG), f) glycosphingolipids (HexCer), and g) other polar lipids including lysophosphatidylcholines (LPC), glycosyldiacylglycerols (MGDG and DGDG), phosphatidylethanolamines (PE), phosphatidylglycerols (PG), phosphatidylinositols (PI) and phosphatidylcholines (PC). The relative intensities of the compounds between samples were visualized as autoscaled peak heights. The coloring of the heatmap shows the relative intensities (red – high; blue – low) of the individual compounds between samples, but it is important to note that the relative abundance of each compound within an individual sample cannot be directly compared from these data. A similar heatmap with the same data is given in Supplementary Information Figure SI-3, but in this case clustering has been applied to the samples to emphasize the similarities and differences in the chemical profile of the samples, irrespective of their origin and treatment procedures.

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