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Updated: May 13, 2026

Quantification of Metal Leaching in Immobilized Metal Affinity Chromatography
Published on: January 17, 2020
Quantifying metal ions binding onto dissolved organic matter using log-transformed absorbance spectra
Mingquan Yan1, Dongsheng Wang, Gregory V Korshin
1Department of Environmental Engineering, Peking University, The Key Laboratory of Water and Sediment Sciences, Ministry of Education, Beijing 100871, China. yanmq@pku.edu.cn
This study presents new methods to quantify heavy metal binding to dissolved organic matter (DOM). The developed parameters accurately predict metal-DOM complexation, aiding environmental monitoring.
Area of Science:
- Environmental Chemistry
- Spectroscopy
- Geochemistry
Background:
- Dissolved organic matter (DOM) plays a crucial role in metal transport and bioavailability in aquatic systems.
- Understanding metal-DOM complexation is vital for predicting metal fate and ecological impacts.
- Existing methods for quantifying metal-DOM interactions can be complex and time-consuming.
Purpose of the Study:
- To introduce and validate novel spectroscopic parameters for quantifying heavy metal binding to DOM.
- To establish a sensitive and predictive method for assessing metal-DOM complexation at environmentally relevant concentrations.
- To correlate spectroscopic changes with metal-DOM binding extent using a differential approach.
Main Methods:
- Consistent examination of log-transformed absorbance spectra of DOM with increasing concentrations of Cu(II), Cd(II), and Al(III).
- Utilizing a differential approach to analyze spectral changes and highlight sensitive absorbance features.
- Introducing and calculating two parameters: change of spectral slope (DSlope325-375) and differential logarithm of absorbance (DLnA350).
Main Results:
- DSlope325-375 and DLnA350 parameters were strongly and unambiguously correlated with DOM-bound metal ion concentrations.
- These parameters effectively quantified Cu(II), Cd(II), and Al(III) binding across various pH, metal concentrations, and DOM types.
- NICA-Donnan model calculations corroborated the experimental findings.
Conclusions:
- The DSlope325-375 and DLnA350 parameters are predictive tools for quantifying in situ metal-DOM interactions.
- This approach offers a more efficient way to study DOM-metal complexation.
- The findings can help optimize existing models for metal-DOM complexation.
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