Figure 5.

Significant positive correlations between rapid evaporative ionisation mass spectrometry (REIMS) and microbiome features. Pearson’s correlation coefficient was used to identify significant correlations (p value below 0.05) between microbiome and metabolomic features using (a) negative ion detection mode and (b) positive ion detection mode REIMS data. Microbiome features are shown to finest taxonomic resolution achieved on y-axis and REIMS features as a mass-to-charge ratio on x-axis. Size of data point indicates strength of correlation feature and colour indicates the total number of significant correlations for that REIMS feature against microbiome features. Only positive correlations were identified in this analysis. A total of 46 human milk replicates are represented in this figure.