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Characterisation of riverine dissolved organic matter using a complementary suite of chromatographic and mass spectrometric methods

Abstract:
Dissolved organic matter (DOM) plays a fundamental role in nutrient cycling dynamics in riverine systems. Recent research has confirmed that the concentration of riverine DOM is not the only factor regulating its functional significance; the need to define the chemical composition of DOM is a priority. Past studies of riverine DOM rested on bulk quantification, however technological advancements have meant there has been a shift towards analytical methods which allow the characterisation of DOM either at compound class or more recently molecular level. However, it is important to consider that all analytical methods only consider a defined analytical window. Thus, herein, we explore the use of a hierarchy of methods which can be used in combination for the investigation of a wide range of DOM chemistries. By using these methods to investigate the DOM composition of a range of streams draining catchments of contrasting environmental character, a wide range of compounds were identified across a range of polarities and molecular weight, thereby extending the analytical window. Through the elucidation of the DOM character in stream samples, information can be collected about likely the sources of DOM. The identification of individual key compounds within the DOM pool is a key step in the design of robust and informative bioassay experiments, used to understand in-stream ecosystem responses. This is critical if we are to assess the role of DOM as a bioavailable nutrient resource and/or ecotoxicological factor in freshwater
Publication status:
Published
Peer review status:
Peer reviewed

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Role:
Author
ORCID:
0000-0002-5597-2072
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-7703-8475
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Role:
Author
ORCID:
0000-0003-1605-6896
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Role:
Author
ORCID:
0000-0002-1482-4209


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Funder identifier:
10.13039/501100000270
Grant:
NE/K010689/1


Publisher:
Springer
Journal:
Biogeochemistry More from this journal
Volume:
164
Issue:
1
Pages:
29-52
Publication date:
2022-03-13
DOI:
EISSN:
1573-515X
ISSN:
0168-2563


Language:
English
Keywords:
Pubs id:
1598396
Local pid:
pubs:1598396
Source identifiers:
W4220974367
Deposit date:
2026-06-05
ARK identifier:
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