Impact of UV radiation on DOM transformation on molecular level using FT-ICR-MS and PARAFAC.

Fluorescent dissolved organic matter Fourier-transform ion cyclotron mass spectrometry Parallel factor analysis Photodegradation Recent produced materials index Refractory dissolved organic matter Ultraviolet radiation

Journal

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
ISSN: 1873-3557
Titre abrégé: Spectrochim Acta A Mol Biomol Spectrosc
Pays: England
ID NLM: 9602533

Informations de publication

Date de publication:
05 Apr 2020
Historique:
received: 30 07 2019
revised: 17 12 2019
accepted: 02 01 2020
pubmed: 28 1 2020
medline: 28 1 2020
entrez: 28 1 2020
Statut: ppublish

Résumé

Dissolved organic matter (DOM) is an omnipresent constituent of natural water bodies. Reuse and transformation of DOM compounds in the water column is driven by physicochemical and biological processes leading to the production of refractory DOM. Typically, breakdown of DOM chemical compounds into smaller or more condensed fragments is triggered by ultraviolet (UV) radiation. Here, we present a study on the photodegradation of DOM produced during an incubation experiment with a natural microbial community. At the end of the first incubation without UV irradiation, the samples from 3 mesocosms were filtered to remove microbes and particles and continuously exposed to UV radiation (280-365 nm). We investigated DOM in depth via monitoring of dissolved organic carbon (DOC) concentrations, DOM molecular characterization by Fourier-Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR-MS) and excitation emission matrix spectroscopy (EEMS). Analysis of variance indicated no significant differences in the DOC concentration between treatments. Main peaks in the fluorescent DOM (FDOM) were photo-bleached by UV radiation, and an increase in the fluorescent intensity of selected peaks was observed on irradiated samples toward the end of the experiment. Parallel factor analysis (PARAFAC) indicated the presence of three main components in all treatments: C1 (Marine humic M), C2 (Bacterial produced humic C), C3 (Tyrosine), and an additional component in the dark incubation of mesocosm 3, C4 (Tryptophan). Despite an intensive filtration protocol through 0.7, 0.2 and 0.1 μm filters, low bacterial abundances were determined (<2.5 × 10

Identifiants

pubmed: 31986429
pii: S1386-1425(20)30003-2
doi: 10.1016/j.saa.2020.118027
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

118027

Informations de copyright

Copyright © 2020. Published by Elsevier B.V.

Auteurs

Mario L Miranda (ML)

Marine Sensor Systems Group, Institute for Chemistry and Biology of the Marine Environment (ICBM), University of Oldenburg, 26382, Wilhelmshaven, Germany; Laboratorio de la Calidad del Aire y Agua (LACAYA), El Cangrejo, Universidad de Panamá, 0824, Panamá.. Electronic address: mario.luis.miranda.montenegro@uni-oldenburg.de.

H Osterholz (H)

ICBM-MPI Bridging Group for Marine Geochemistry, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, 26129 Oldenburg, Germany; Department of Marine Chemistry, Leibniz-Institute for Baltic Sea Research (IOW), Rostock 18119, Germany.

H-A Giebel (HA)

Biology of Geological Processes Group, Institute for Chemistry and Biology of the Marine Environment (ICBM), University of Oldenburg, 26129 Oldenburg, Germany.

P Bruhnke (P)

ICBM-MPI Bridging Group for Marine Geochemistry, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, 26129 Oldenburg, Germany.

T Dittmar (T)

ICBM-MPI Bridging Group for Marine Geochemistry, Institute for Chemistry and Biology of the Marine Environment, University of Oldenburg, 26129 Oldenburg, Germany; Helmholtz Institute for Functional Marine Biodiversity at the University of Oldenburg (HIFMB), Oldenburg 26129, Germany.

O Zielinski (O)

Marine Sensor Systems Group, Institute for Chemistry and Biology of the Marine Environment (ICBM), University of Oldenburg, 26382, Wilhelmshaven, Germany; Marine Perception Research Group, German Research Center for Artifical Intelligence (DFKI), 26129 Oldenburg, Germany.

Classifications MeSH