Machine learning uncovers tidal DOM transformations and keystone molecules via FT-ICR MS and reactomics for estuarine

Guosheng Zhao1, Longfei Wang2, Yi Li2

  • 1State Key Laboratory of Water Cycle and Water Security, College of Environment, Hohai University, Nanjing 210098, China.

Summary

Tidal cycles significantly alter estuarine dissolved organic matter (DOM), promoting humification and nitrogen-sulfur compound accumulation. Advanced techniques revealed microbial pathways and identified key molecular features predicting biodegradable DOM and regulating sulfur cycling.

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