Relating Molecular Properties to the Persistence of Marine Dissolved Organic Matter with Liquid Chromatography-Ultrahigh-Resolution Mass Spectrometry.
Rene M BoiteauYuri E CoriloWilliam R KewChristian DeweyMaria Cristina Alvarez RodriguezCraig A CarlsonTim M ConwayPublished in: Environmental science & technology (2024)
Marine dissolved organic matter (DOM) contains a complex mixture of small molecules that eludes rapid biological degradation. Spatial and temporal variations in the abundance of DOM reflect the existence of fractions that are removed from the ocean over different time scales, ranging from seconds to millennia. However, it remains unknown whether the intrinsic chemical properties of these organic components relate to their persistence. Here, we elucidate and compare the molecular compositions of distinct DOM fractions with different lability along a water column in the North Atlantic Gyre. Our analysis utilized ultrahigh-resolution Fourier transform ion cyclotron resonance mass spectrometry at 21 T coupled to liquid chromatography and a novel data pipeline developed in CoreMS that generates molecular formula assignments and metrics of isomeric complexity. Clustering analysis binned 14 857 distinct molecular components into groups that correspond to the depth distribution of semilabile, semirefractory, and refractory fractions of DOM. The more labile fractions were concentrated near the ocean surface and contained more aliphatic, hydrophobic, and reduced molecules than the refractory fraction, which occurred uniformly throughout the water column. These findings suggest that processes that selectively remove hydrophobic compounds, such as aggregation and particle sorption, contribute to variable removal rates of marine DOM.
Keyphrases
- liquid chromatography
- mass spectrometry
- high resolution mass spectrometry
- organic matter
- tandem mass spectrometry
- single molecule
- simultaneous determination
- gas chromatography
- high performance liquid chromatography
- solid phase extraction
- high resolution
- capillary electrophoresis
- ionic liquid
- single cell
- preterm infants
- risk assessment
- big data
- electronic health record
- rna seq
- deep learning
- ms ms
- machine learning
- water soluble
- anaerobic digestion