Machine Learning-Driven FT-ICR MS Analysis of Leachate DOM Ozonation and Membrane Fouling DOI
Bing Xie, Feng Zhou, Yinglong Su

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

Abstract Pre-ozonation mitigates forward osmosis membrane fouling by transforming dissolved organic matter (DOM); however, the dynamic interplay between ozonation-induced precursor-product evolution and behavior remains unclear. We demonstrated that pre-ozonation preferentially oxidizes fulvic acids, followed soluble proteins (S-PN), in landfill leachates, whereas excessive ozone increases S-PN aged leachates. Based on interpretable machine learning linkage analysis, we identified key molecular properties (O/C, weight [MW], oxygen count, double bond equivalents minus oxygen) governing reactivity unveiled following transformation pathways: addition, dealkylation, desulfonation, collectively convert unsaturated low-oxygen compounds into saturated, oxygen-rich mid/small molecules. In particular, sulfur-containing (CHOS CHONS) undergo conversion highly oxidized saturated (CHO CHON). reduced oxidizing lignin/carboxyl-rich alicyclic (CRAM)-like aliphatic/protein structures, notably those containing sulfur, while lowering DOM hydrophobicity zeta potential. Over-ozonation leachates converts CHONS-lignin/CRAM low-MW CHON-aliphatic/proteins enriched with carboxylic aggravating irreversible fouling. This study elucidates novel mechanisms underlying impact of ozone-driven transformations offers critical insights for optimizing quantitative treatment strategies recalcitrant wastewater.

Language: Английский

Machine Learning-Driven FT-ICR MS Analysis of Leachate DOM Ozonation and Membrane Fouling DOI
Bing Xie, Feng Zhou, Yinglong Su

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

Abstract Pre-ozonation mitigates forward osmosis membrane fouling by transforming dissolved organic matter (DOM); however, the dynamic interplay between ozonation-induced precursor-product evolution and behavior remains unclear. We demonstrated that pre-ozonation preferentially oxidizes fulvic acids, followed soluble proteins (S-PN), in landfill leachates, whereas excessive ozone increases S-PN aged leachates. Based on interpretable machine learning linkage analysis, we identified key molecular properties (O/C, weight [MW], oxygen count, double bond equivalents minus oxygen) governing reactivity unveiled following transformation pathways: addition, dealkylation, desulfonation, collectively convert unsaturated low-oxygen compounds into saturated, oxygen-rich mid/small molecules. In particular, sulfur-containing (CHOS CHONS) undergo conversion highly oxidized saturated (CHO CHON). reduced oxidizing lignin/carboxyl-rich alicyclic (CRAM)-like aliphatic/protein structures, notably those containing sulfur, while lowering DOM hydrophobicity zeta potential. Over-ozonation leachates converts CHONS-lignin/CRAM low-MW CHON-aliphatic/proteins enriched with carboxylic aggravating irreversible fouling. This study elucidates novel mechanisms underlying impact of ozone-driven transformations offers critical insights for optimizing quantitative treatment strategies recalcitrant wastewater.

Language: Английский

Citations

0