To analyze or to throw away? On the stability of excitation-emission matrices for different water systems.

3D fluorescence spectroscopy Dissolved organic matter Fluorescence indices High-performance liquid chromatography Standard protocol Storage conditions

Journal

Chemosphere
ISSN: 1879-1298
Titre abrégé: Chemosphere
Pays: England
ID NLM: 0320657

Informations de publication

Date de publication:
Aug 2023
Historique:
received: 24 02 2023
revised: 02 05 2023
accepted: 03 05 2023
medline: 5 6 2023
pubmed: 11 5 2023
entrez: 10 5 2023
Statut: ppublish

Résumé

Fluorescence spectroscopy has numerous applications to characterize natural and human-influenced water bodies regarding dissolved organic matter (DOM) and contamination. Analyzing samples in a timely manner is crucial to gaining valid and reproducible excitation-emission matrices (EEM) but often difficult, specifically in transnational projects with long transport distances. In this study, eight samples of different water sources (tap water, differently polluted rivers, and wastewater treatment plant (WWTP) effluents) were stored under standardized conditions for 59 days and analyzed regularly. With this data set, the sample and fluorescence spectra stability was evaluated. Established analysis methods such as peak picking and fluorescence metrics were compared over time and benchmarked against dissolved organic carbon (DOC) and a maximal change of 10% in terms of their variability. Additional high-performance liquid chromatography (HPLC) data to identify single organic compounds provides insights into these DOM alterations and allows for conclusions about the underlying biological processes. Our results corroborate in a systematic way that the higher the organic or microbial load, the faster the sample must be processed. For all water sources, considerable changes were found between days zero and one, indicating a potential systematic bias between in-situ and laboratory measurements. The absolute signals of individual peaks vary substantially after only a few days. In contrast, relative metrics are robust for a much longer time. For specific metrics, when filtered and stored under cool and dark conditions, tap water may be stored for up to 59 days, non-polluted river water for up to 31-59 days, and WWTP effluents for up to 14-59 days. The storability thus depends both on the specific water source and the analytical plan. By systematizing our understanding of how the specific water source and DOM concentration determine the stability of samples during storage, these conclusions facilitate efforts to establish a standardized protocol.

Identifiants

pubmed: 37164201
pii: S0045-6535(23)01120-7
doi: 10.1016/j.chemosphere.2023.138853
pii:
doi:

Substances chimiques

Water 059QF0KO0R
Organic Chemicals 0
Dissolved Organic Matter 0
Humic Substances 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

138853

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Sandra Peer (S)

Institute for Water Quality and Resource Management, TU Wien, Karlsplatz 13/226, 1040, Vienna, Austria. Electronic address: sandra.peer@tuwien.ac.at.

Anastassia Vybornova (A)

Institute for Water Quality and Resource Management, TU Wien, Karlsplatz 13/226, 1040, Vienna, Austria; IT University of Copenhagen, Rued Langgaards Vej 7, 2300, Copenhagen, Denmark.

Joseph Tauber (J)

Institute for Water Quality and Resource Management, TU Wien, Karlsplatz 13/226, 1040, Vienna, Austria.

Ernis Saracevic (E)

Institute for Water Quality and Resource Management, TU Wien, Karlsplatz 13/226, 1040, Vienna, Austria.

Jörg Krampe (J)

Institute for Water Quality and Resource Management, TU Wien, Karlsplatz 13/226, 1040, Vienna, Austria.

Matthias Zessner (M)

Institute for Water Quality and Resource Management, TU Wien, Karlsplatz 13/226, 1040, Vienna, Austria.

Ottavia Zoboli (O)

Institute for Water Quality and Resource Management, TU Wien, Karlsplatz 13/226, 1040, Vienna, Austria.

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Classifications MeSH