Papers
1
Total Citations
13
H-Index
1
About
Feng Ge is a pioneering researcher in environmental analytical chemistry, specializing in the development of automated, intelligent systems for monitoring organic pollutants. His work addresses a critical bottleneck in environmental science: the labor-intensive and time-consuming pretreatment of water samples required for traditional laboratory analysis. Ge’s major contribution lies in integrating machine experiments with non-targeted screening approaches, enabling the rapid, high-throughput identification of emerging contaminants without the need for extensive manual preparation. His most cited 2024 paper, which has already garnered 13 citations, introduces a fully automated workflow that combines sample pretreatment with AI-driven compound screening—a significant leap toward real-time environmental surveillance. This innovation not only reduces human error and analysis time but also expands the scope of detectable pollutants, from legacy chemicals to novel, unknown substances. By streamlining the path from sample collection to data interpretation, Ge is helping to transform environmental monitoring from a reactive, lab-bound process into a proactive, field-deployable intelligence system. His work is essential for researchers and regulators tackling the growing complexity of water pollution in an era of rapid industrialization.
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