Dark recovery of photodegraded dissolved organic matter as a source of a protein-like fluorophore in natural waters

Waldemar Grzybowski , Aleksandra Szewczun , Paweł Tarasiewicz

Abstract

Excitation-emission matrix (EEM) fluorescence spectroscopy is being widely used to characterize dissolved organic matter in aquatic environments. The main types of fluorophores in natural waters, defined by this technique, are humic-like and the protein-like ones. The latter is generally thought to be of biological origin. In this study, we show that the emergence of the protein-like fluorophore may be the result of DOM phototransformation. Samples of natural waters were irradiated using ultraviolet radiation in the solar wavelength range. Their EMM spectra were recorded before and directly after irradiation, and after 72 h long dark storage. Fluorescence of the photodegraded water samples partially recovered during the storage. The highest increase in fluorescence was observed in the spectral range ascribed to the protein-like fluorophore. It suggests that microbial production is not the only source of this component of DOM.
Author Waldemar Grzybowski (FOG / IO / DMChEP)
Waldemar Grzybowski,,
- Division of Marine Chemistry and Environmental Protection
, Aleksandra Szewczun (FOG / IO / DMChEP)
Aleksandra Szewczun,,
- Division of Marine Chemistry and Environmental Protection
, Paweł Tarasiewicz (FOG / IO / DMChEP)
Paweł Tarasiewicz,,
- Division of Marine Chemistry and Environmental Protection
Journal seriesJournal of Photochemistry and Photobiology A-Chemistry, ISSN 1010-6030, (A 25 pkt)
Issue year2019
Vol371
Pages182-187
Publication size in sheets0.5
Keywords in EnglishDissolved organic matter, protein-like fluorescence, photodegradation
DOIDOI:10.1016/j.jphotochem.2018.11.015
URL https://doi.org/10.1016/j.jphotochem.2018.11.015
Languageen angielski
Score (nominal)25
ScoreMinisterial score = 25.0, 06-12-2018, ArticleFromJournal
Ministerial score (2013-2016) = 25.0, 06-12-2018, ArticleFromJournal
Publication indicators WoS Impact Factor: 2016 = 2.625 (2) - 2016=2.493 (5)
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