Analysis of DOM phototransformation using a looped NMR system integrated with a sunlight simulator
| Autor: | Liora Bliumkin, Daniel Lane, Myrna J. Simpson, Rudraksha Dutta Majumdar, André J. Simpson, Ronald Soong |
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| Rok vydání: | 2017 |
| Předmět: |
In situ
Environmental Engineering 010504 meteorology & atmospheric sciences Antarctic Regions 010501 environmental sciences 01 natural sciences chemistry.chemical_compound Dissolved organic carbon Lignin Photodegradation Spectroscopy Waste Management and Disposal Simulation 0105 earth and related environmental sciences Water Science and Technology Civil and Structural Engineering Photolysis Norway Ecological Modeling Photodissociation Nuclear magnetic resonance spectroscopy Pollution chemistry 13. Climate action Environmental chemistry Florida Sunlight Degradation (geology) Water Pollutants Chemical |
| Zdroj: | Water Research. 120:64-76 |
| ISSN: | 0043-1354 |
| DOI: | 10.1016/j.watres.2017.04.067 |
| Popis: | Photochemical transformation plays an important role in functionalizing and degrading dissolved organic matter (DOM), producing one of the most complex mixtures known. In this study, using a flow-based design, nuclear magnetic resonance (NMR) spectroscopy is directly interfaced with a sunlight simulator enabling the study of DOM photodegradation in situ with high temporal resolution over 5 days. Samples from Suwannee River (Florida), Nordic Reservoir (Norway), and Pony Lake (Antarctic) are studied. Phototransformation of DOM is dominated by the degradation of aromatics and unsaturated structures (many arising from lignin) into carboxylated and hydroxylated products. To assess longer term changes, the samples were continuously irradiated for 17.5 days, followed by the identification a wide range of compounds and assessment of their fate using off-line 2D-NMR. This study demonstrates the applicability of the looped system to follow degradation in a non-targeted fashion (the mixture as a whole) and target analysis (tracing specific metabolites), which holds great potential to study the fate and transformation of contaminants and nutrients in the presence of DOM. It also demonstrates that components that remain unresolved in 1D NMR can be identified using 2D methods. |
| Databáze: | OpenAIRE |
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