Metabolic fingerprinting of Ganoderma spp. using UHPLC-ESI-QTOF-MS and its chemometric analysis.

A UHPLC-QTOF-MS method was developed to separate and identify 70 triterpenes present in each of the 18 strains of Ganoderma spp. Collected from various parts of India. A PCDL MS library was used to retrieve and identify these 70 triterpenes by meticulous analysis of MS/MS fragments. The MS data from these 18 strains were further statistically analysed to arrive at meaningful conclusions. Heatmap analysis suggested that Ganoderma spp. G44, G25 and G36 were the top three strains of Ganoderma mushrooms based on their metabolic concentration in Indian biota. From the PCA loading plot, it was observed that the triterpenes Ganoderic acid A, Ganoderic acid D, Ganoderic acid F, Ganoderic acid J, Ganoderic acid M, Ganoderic acid N, Ganoderenic acid B, Ganoderiol H, 3β,7β-Dihydroxy-11,15,23-trioxo-lanost-8,16-dien-26-oic acid, 3β,7β,15β-trihydroxy-11,23-dioxo-lanost-8,16-dien-26-oic acid and 20 - hydroxy ganoderic acid AM1 were identified as the principal contributors for the discrimination of a particular strain of the mushroom. We have also identified the samples obtained from different regions of India with the highest concentration of metabolites with potent biological activity. The results presented here could be very helpful for both scientific and industrial applications such as quality control of various medicines and food additives containing triterpenes.