1. SCMS data pretreatment. Liu et al. reported a generalized data analysis workflow to pretreat the Single-probe SCMS data . This data preprocessing workflow includes multiple key steps for data refinement: (1) removal of exogenous ion signals from culture medium and sampling solvent, (2) filtering of instrument noise, which typically comprises 20-40% of detected peaks, through low-intensity ion exclusion, and (3) normalization of metabolite ion intensities to the total ion count. These steps were shown to effectively reduce data dimensionality while retaining crucial metabolite information, though challenges remain in distinguishing true metabolite signals from low-abundance noise . This generalized data analysis workflow can be seamlessly integrated with raw datasets, enabling thorough metabolomic analyses across different experimental conditions.