Molecular fingerprint-based quantitative source tracing method for dissolved organic matters in lake and application of quantitative source tracing method
By screening for stubborn and inert molecules using FT-ICRMS and combining ecological null models and Bayesian mixture models, the accuracy and reliability of differentiating the sources of DOM in lakes were solved, enabling precise quantitative tracing and governance support for endogenous and exogenous DOM.
Patent Information
- Application Number
- CN202610564366.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-27
- Publication Date
- 2026-07-24
AI Technical Summary
Existing technologies for distinguishing the sources of dissolved organic matter (DOM) from endogenous sediment release and exogenous input in lakes suffer from problems such as overlapping fluorescence components, interference from biogeochemical processes, and a lack of molecular-level recognition capabilities, leading to inaccurate source tracing results.
Using a molecular fingerprint-based approach, we screened for stubborn-inert (RI) molecules by Fourier transform ion cyclotron resonance mass spectrometry (FT-ICRMS), combined with an ecological null model and machine learning algorithms, to construct a quantitative source tracing method for lake DOM. We verified molecular conservation using βNTI and RCBray exponents, and output the contribution ratio of each endmember using a MixSIAR Bayesian mixture model.
It achieves precise differentiation and quantitative decomposition of endogenous and exogenous DOM at the molecular level, overcomes the fingerprint overlap problem of fluorescence spectroscopy, provides reliable quantitative results and confidence intervals, and supports targeted treatment decisions.