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Insights into Molecules of Natural Organic Matter Binding with a Copper(II) Cation: Interpretation Based on FT-ICR-MS and Differential UV–Vis Absorbance Spectra
Natural organic matter (NOM) regulates the mobility, speciation, and bioavailability of metal ions (Me) in the environment, but interactions between Me and NOM are not yet fully understood. This study presents novel insights into the molecular nature of NOMs and their functionalities engaged in copper binding using Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) and differential UV–vis absorbance spectra (DAS). The DAS induced by copper binding shows specific features, reflecting NOM’s molecular composition from different environmental sources (e.g., river, lake, canal, seawater, sediment, and sewage). Groups of NOM molecules that preferentially form complexes with copper were ascertained using comparison of DAS with FT-ICR-MS based on Spearman’s rank correlation analysis. At a low copper concentration of 0.1 μM, active copper-binding NOM molecules were predominantly associated with lignin-, lipid-, and protein-like compounds. However, at a high copper concentration of 10 μM, the complexation-active NOM molecules were primarily associated with lignin-, tannin-, and condensed aromatic structure-like compounds. Associations between specific DAS parameters (e.g., ratios of intensities of Gaussian bands, changes of spectral slope within certain wavelength ranges with molecular composition of NOM) provide a new approach to identify complexation-active NOM molecules and interpret spectroscopic fingerprints that reflect NOM site specificity and its intrinsic chemistry.
This work provides crucial insights into the site-specificity of NOM and has significant implications for in situ monitoring NOM using copper-induced differential absorbance spectra.
Insights into Molecules of Natural Organic Matter Binding with a Copper(II) Cation: Interpretation Based on FT-ICR-MS and Differential UV–Vis Absorbance Spectra
Natural organic matter (NOM) regulates the mobility, speciation, and bioavailability of metal ions (Me) in the environment, but interactions between Me and NOM are not yet fully understood. This study presents novel insights into the molecular nature of NOMs and their functionalities engaged in copper binding using Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) and differential UV–vis absorbance spectra (DAS). The DAS induced by copper binding shows specific features, reflecting NOM’s molecular composition from different environmental sources (e.g., river, lake, canal, seawater, sediment, and sewage). Groups of NOM molecules that preferentially form complexes with copper were ascertained using comparison of DAS with FT-ICR-MS based on Spearman’s rank correlation analysis. At a low copper concentration of 0.1 μM, active copper-binding NOM molecules were predominantly associated with lignin-, lipid-, and protein-like compounds. However, at a high copper concentration of 10 μM, the complexation-active NOM molecules were primarily associated with lignin-, tannin-, and condensed aromatic structure-like compounds. Associations between specific DAS parameters (e.g., ratios of intensities of Gaussian bands, changes of spectral slope within certain wavelength ranges with molecular composition of NOM) provide a new approach to identify complexation-active NOM molecules and interpret spectroscopic fingerprints that reflect NOM site specificity and its intrinsic chemistry.
This work provides crucial insights into the site-specificity of NOM and has significant implications for in situ monitoring NOM using copper-induced differential absorbance spectra.
Insights into Molecules of Natural Organic Matter Binding with a Copper(II) Cation: Interpretation Based on FT-ICR-MS and Differential UV–Vis Absorbance Spectra
Gu, Xin (Autor:in) / Zhang, Chenyang (Autor:in) / Mo, Shansheng (Autor:in) / Korshin, Gregory V. (Autor:in) / Yan, Mingquan (Autor:in)
ACS ES&T Water ; 3 ; 3315-3322
13.10.2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Using UV Absorbance Spectra for Continuous Multiple Parameter Monitoring
British Library Conference Proceedings | 2014
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