Deciphering the link between particulate organic matter molecular composition and lake eutrophication by FT-ICR MS
Minli Guo1, Mingxing Yu2, Xu Wang3
1College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, PR China.
Particulate organic matter (POM) from Yangtze River lakes reveals increased autochthonous sources and labile P-compounds with eutrophication. This molecular insight explains lake eutrophication feedback loops and aids control strategies.
Area of Science:
- Environmental Science
- Limnology
- Biogeochemistry
Background:
- Eutrophication is a major global lake issue, significantly influenced by particulate organic matter (POM) as a nutrient carrier.
- Understanding the source and molecular makeup of POM is crucial for deciphering lake eutrophication dynamics.
Purpose of the Study:
- To investigate the relationship between the source and molecular composition of POM in lakes with varying trophic states.
- To elucidate the molecular mechanisms driving lake eutrophication in the Yangtze River basin.
Main Methods:
- Characterization of POM from seven lakes across a trophic gradient using carbon and nitrogen stable isotopes.
- Analysis of POM molecular composition via Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS).
Main Results:
- POM primarily originated from autochthonous (62.7%) versus allochthonous (37.3%) sources, with autochthonous dominance increasing with trophic state.
- Phosphorus-containing (CHOP) formulas constituted the largest proportion (51.56%) of labile compounds, correlating positively with lake trophic status.
- Molecular properties like unsaturation, aromaticity, and oxidation decreased with increasing trophic states, while lipid and protein content rose.
Conclusions:
- Intensified lake eutrophication leads to increased autochthonous POM, particularly labile P-containing compounds, creating a positive feedback loop.
- Molecular-level analysis of POM provides critical insights into the mechanisms of lake eutrophication.
- Findings are significant for understanding POM fate and developing effective lake eutrophication control strategies.
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