Metabonomic study of Mn 2+ in promoting the biotransformation of Shenfu oxidised Lignite by pattern recognition

In recent years, the biotransformation technology of coal has received increasing attention due to its significant economic and environmental advantages in the energy field. However, the specific conversion mechanism is challenging to study in depth, partly because it is difficult to identify intermediates in the biological conversion of coal. In this study, we reported a metabolomics method based on UPLC-Q-TOF/MS to analyse which metabolic pathway is most important in biotransformation under high Mn ²⁺ conditions. During the biological transformation process, a total of 30 potential differential metabolites were screened, including free fatty acids, phospholipids, sphingolipids, glycerides, and others. The most significant difference, lysoPC(16:0), was identified by MS/MS and standard sample analysis between Mn ²⁺ -bioconversion and control subjects. MetPA suggests that the high expression of lysoPC(16:0) may be closely related to microbial glycerophospholipid metabolism. Based on UPLC-Q-TOF/MS bioconversion metabolomics, combined with pattern recognition and network analysis, this approach provides a powerful tool for identifying potential biomarkers. It represents a new strategy for studying the mechanisms underlying biomass under strict conditions.