The Molecular Fingerprint of Fluorescent Natural Organic Matter Offers Insight into Biogeochemical Sources and Diagenetic State
Investigating the biogeochemistry of dissolved organic matter (DOM) requires the synthesis of data from several complementary analytical techniques. The traditional approach to data synthesis is to search for correlations between measurements made on the same sample using different instruments. In c...
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ftchalmersuniv:oai:research.chalmers.se:508701 2023-05-15T15:04:44+02:00 The Molecular Fingerprint of Fluorescent Natural Organic Matter Offers Insight into Biogeochemical Sources and Diagenetic State Wuensch, Urban Acar, Evrim Koch, Boris P. Murphy, Kathleen Schmitt-Kopplin, Philippe 2018 text https://doi.org/10.1021/acs.analchem.8b02863 https://research.chalmers.se/en/publication/cc63903b-b6d4-4fda-91a3-43ff5c943137 unknown http://dx.doi.org/10.1021/acs.analchem.8b02863 https://research.chalmers.se/en/publication/cc63903b-b6d4-4fda-91a3-43ff5c943137 Analytical Chemistry Oceanography Hydrology Water Resources Environmental Sciences 2018 ftchalmersuniv https://doi.org/10.1021/acs.analchem.8b02863 2022-12-11T07:35:50Z Investigating the biogeochemistry of dissolved organic matter (DOM) requires the synthesis of data from several complementary analytical techniques. The traditional approach to data synthesis is to search for correlations between measurements made on the same sample using different instruments. In contrast, data fusion simultaneously decomposes data from multiple instruments into the underlying shared and unshared components. Here, Advanced Coupled Matrix and Tensor Factorization (ACMTF) was used to identify the molecular fingerprint of DOM fluorescence fractions in Arctic fjords. ACMTF explained 99.84% of the variability with six fully shared components. Individual molecular formulas were linked to multiple fluorescencecomponents and vice versa. Molecular fingerprints differed in diversity and oceanographic patterns, suggesting a link to the biogeochemical sources and diagenetic state of DOM. The fingerprints obtained through ACMTF were more specific compared to traditional correlation analysis and yielded greater compositional insight. Multivariate data fusion aligns extremely complex, heterogeneous DOM data sets and thus facilitates a more holistic understanding of DOM biogeochemistry. Other/Unknown Material Arctic Chalmers University of Technology: Chalmers research Arctic Analytical Chemistry 90 24 14188 14197 |
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Chalmers University of Technology: Chalmers research |
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topic |
Analytical Chemistry Oceanography Hydrology Water Resources Environmental Sciences |
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Analytical Chemistry Oceanography Hydrology Water Resources Environmental Sciences Wuensch, Urban Acar, Evrim Koch, Boris P. Murphy, Kathleen Schmitt-Kopplin, Philippe The Molecular Fingerprint of Fluorescent Natural Organic Matter Offers Insight into Biogeochemical Sources and Diagenetic State |
topic_facet |
Analytical Chemistry Oceanography Hydrology Water Resources Environmental Sciences |
description |
Investigating the biogeochemistry of dissolved organic matter (DOM) requires the synthesis of data from several complementary analytical techniques. The traditional approach to data synthesis is to search for correlations between measurements made on the same sample using different instruments. In contrast, data fusion simultaneously decomposes data from multiple instruments into the underlying shared and unshared components. Here, Advanced Coupled Matrix and Tensor Factorization (ACMTF) was used to identify the molecular fingerprint of DOM fluorescence fractions in Arctic fjords. ACMTF explained 99.84% of the variability with six fully shared components. Individual molecular formulas were linked to multiple fluorescencecomponents and vice versa. Molecular fingerprints differed in diversity and oceanographic patterns, suggesting a link to the biogeochemical sources and diagenetic state of DOM. The fingerprints obtained through ACMTF were more specific compared to traditional correlation analysis and yielded greater compositional insight. Multivariate data fusion aligns extremely complex, heterogeneous DOM data sets and thus facilitates a more holistic understanding of DOM biogeochemistry. |
author |
Wuensch, Urban Acar, Evrim Koch, Boris P. Murphy, Kathleen Schmitt-Kopplin, Philippe |
author_facet |
Wuensch, Urban Acar, Evrim Koch, Boris P. Murphy, Kathleen Schmitt-Kopplin, Philippe |
author_sort |
Wuensch, Urban |
title |
The Molecular Fingerprint of Fluorescent Natural Organic Matter Offers Insight into Biogeochemical Sources and Diagenetic State |
title_short |
The Molecular Fingerprint of Fluorescent Natural Organic Matter Offers Insight into Biogeochemical Sources and Diagenetic State |
title_full |
The Molecular Fingerprint of Fluorescent Natural Organic Matter Offers Insight into Biogeochemical Sources and Diagenetic State |
title_fullStr |
The Molecular Fingerprint of Fluorescent Natural Organic Matter Offers Insight into Biogeochemical Sources and Diagenetic State |
title_full_unstemmed |
The Molecular Fingerprint of Fluorescent Natural Organic Matter Offers Insight into Biogeochemical Sources and Diagenetic State |
title_sort |
molecular fingerprint of fluorescent natural organic matter offers insight into biogeochemical sources and diagenetic state |
publishDate |
2018 |
url |
https://doi.org/10.1021/acs.analchem.8b02863 https://research.chalmers.se/en/publication/cc63903b-b6d4-4fda-91a3-43ff5c943137 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
http://dx.doi.org/10.1021/acs.analchem.8b02863 https://research.chalmers.se/en/publication/cc63903b-b6d4-4fda-91a3-43ff5c943137 |
op_doi |
https://doi.org/10.1021/acs.analchem.8b02863 |
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Analytical Chemistry |
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90 |
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24 |
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14188 |
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14197 |
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1766336473560252416 |