Multi-proxy approach involving ultrahigh resolution mass spectrometry and self-organising maps to investigate the origin and quality of sedimentary organic matter across a subtropical reservoir
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.orggeochem.2020.104165 http://hdl.handle.net/11449/205583 |
Resumo: | Humic substances (HS) in sediments play an important role in carbon and nutrient biogeochemical cycles and fate of contaminants in the environment. However, information regarding HS quality and transformations that may affect their behaviour in reservoirs is still limited. The aim of this investigation was to track sources and changes in sedimentary HS across a subtropical reservoir, connecting them to in-lake processes and land-use influences. Surface sediments were collected at seven sampling sites in Itupararanga Reservoir (Brazil). Humic (HA) and fulvic (FA) acids (components of HS) were extracted from the sediment samples followed by in-depth characterisation via UV/VIS, fluorescence spectroscopy, elemental (C, N) and isotopic analysis (δ13C, δ15N), nuclear magnetic resonance (13C NMR) and Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS). All data were analysed by self-organising maps. The results showed that samples from the upstream part of the reservoir were older and more decomposed. They likely originated from C3 land-plants (δ13C varied from −26.3‰ to −22.4‰), having more aromatic, oxygen-poor (O/C < 0.5) and unsaturated compounds (H/C < 1.1). In contrast, near-dam samples were younger and had larger contributions of autochthonous material. This was confirmed by oxygen-rich (O/C > 0.5) and partly more unsaturated compounds for FA as well as oxygen-poor and saturated compounds with H/C > 1.1 for HA. Self-organising maps pointed out these differences between upstream and dam areas and indicated that agriculture lands were related to microbially-derived HS. Changes in HS composition revealed that internal reservoir processes may have influenced HS quality across the reservoir. |
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Multi-proxy approach involving ultrahigh resolution mass spectrometry and self-organising maps to investigate the origin and quality of sedimentary organic matter across a subtropical reservoir13C NMRFT-ICR-MSHumic substancesKohonen neural networkSource discriminationStable isotopesHumic substances (HS) in sediments play an important role in carbon and nutrient biogeochemical cycles and fate of contaminants in the environment. However, information regarding HS quality and transformations that may affect their behaviour in reservoirs is still limited. The aim of this investigation was to track sources and changes in sedimentary HS across a subtropical reservoir, connecting them to in-lake processes and land-use influences. Surface sediments were collected at seven sampling sites in Itupararanga Reservoir (Brazil). Humic (HA) and fulvic (FA) acids (components of HS) were extracted from the sediment samples followed by in-depth characterisation via UV/VIS, fluorescence spectroscopy, elemental (C, N) and isotopic analysis (δ13C, δ15N), nuclear magnetic resonance (13C NMR) and Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS). All data were analysed by self-organising maps. The results showed that samples from the upstream part of the reservoir were older and more decomposed. They likely originated from C3 land-plants (δ13C varied from −26.3‰ to −22.4‰), having more aromatic, oxygen-poor (O/C < 0.5) and unsaturated compounds (H/C < 1.1). In contrast, near-dam samples were younger and had larger contributions of autochthonous material. This was confirmed by oxygen-rich (O/C > 0.5) and partly more unsaturated compounds for FA as well as oxygen-poor and saturated compounds with H/C > 1.1 for HA. Self-organising maps pointed out these differences between upstream and dam areas and indicated that agriculture lands were related to microbially-derived HS. Changes in HS composition revealed that internal reservoir processes may have influenced HS quality across the reservoir.Department of Lake Research Helmholtz Centre for Environmental Research – UFZ, Brueckstr 3aInstitute of Science and Technology São Paulo State University (UNESP), Av. Três de Março, 511, Alto da Boa Vista – CEP: 18087-180Department of Analytical Chemistry and ProVIS – Centre for Chemical Microscopy Helmholtz Centre for Environmental Research – UFZ, Permoserstr. 15Department of Geography and Geosciences GeoZentrum Nordbayern Friedrich-Alexander University Erlangen–Nürnberg (FAU), Universitätsstraße 40Institute of Science and Technology São Paulo State University (UNESP), Av. Três de Março, 511, Alto da Boa Vista – CEP: 18087-180Helmholtz Centre for Environmental Research – UFZUniversidade Estadual Paulista (Unesp)Friedrich-Alexander University Erlangen–Nürnberg (FAU)Gontijo, Erik Sartori Jeunon [UNESP]Herzsprung, PeterLechtenfeld, Oliver J.de Castro Bueno, Carolina [UNESP]A.C. Barth, JohannesRosa, André H. [UNESP]Friese, Kurt2021-06-25T10:17:50Z2021-06-25T10:17:50Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.orggeochem.2020.104165Organic Geochemistry, v. 151.0146-6380http://hdl.handle.net/11449/20558310.1016/j.orggeochem.2020.1041652-s2.0-85097582353Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengOrganic Geochemistryinfo:eu-repo/semantics/openAccess2021-10-23T14:54:41Zoai:repositorio.unesp.br:11449/205583Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T14:54:41Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Multi-proxy approach involving ultrahigh resolution mass spectrometry and self-organising maps to investigate the origin and quality of sedimentary organic matter across a subtropical reservoir |
title |
Multi-proxy approach involving ultrahigh resolution mass spectrometry and self-organising maps to investigate the origin and quality of sedimentary organic matter across a subtropical reservoir |
spellingShingle |
Multi-proxy approach involving ultrahigh resolution mass spectrometry and self-organising maps to investigate the origin and quality of sedimentary organic matter across a subtropical reservoir Gontijo, Erik Sartori Jeunon [UNESP] 13C NMR FT-ICR-MS Humic substances Kohonen neural network Source discrimination Stable isotopes |
title_short |
Multi-proxy approach involving ultrahigh resolution mass spectrometry and self-organising maps to investigate the origin and quality of sedimentary organic matter across a subtropical reservoir |
title_full |
Multi-proxy approach involving ultrahigh resolution mass spectrometry and self-organising maps to investigate the origin and quality of sedimentary organic matter across a subtropical reservoir |
title_fullStr |
Multi-proxy approach involving ultrahigh resolution mass spectrometry and self-organising maps to investigate the origin and quality of sedimentary organic matter across a subtropical reservoir |
title_full_unstemmed |
Multi-proxy approach involving ultrahigh resolution mass spectrometry and self-organising maps to investigate the origin and quality of sedimentary organic matter across a subtropical reservoir |
title_sort |
Multi-proxy approach involving ultrahigh resolution mass spectrometry and self-organising maps to investigate the origin and quality of sedimentary organic matter across a subtropical reservoir |
author |
Gontijo, Erik Sartori Jeunon [UNESP] |
author_facet |
Gontijo, Erik Sartori Jeunon [UNESP] Herzsprung, Peter Lechtenfeld, Oliver J. de Castro Bueno, Carolina [UNESP] A.C. Barth, Johannes Rosa, André H. [UNESP] Friese, Kurt |
author_role |
author |
author2 |
Herzsprung, Peter Lechtenfeld, Oliver J. de Castro Bueno, Carolina [UNESP] A.C. Barth, Johannes Rosa, André H. [UNESP] Friese, Kurt |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Helmholtz Centre for Environmental Research – UFZ Universidade Estadual Paulista (Unesp) Friedrich-Alexander University Erlangen–Nürnberg (FAU) |
dc.contributor.author.fl_str_mv |
Gontijo, Erik Sartori Jeunon [UNESP] Herzsprung, Peter Lechtenfeld, Oliver J. de Castro Bueno, Carolina [UNESP] A.C. Barth, Johannes Rosa, André H. [UNESP] Friese, Kurt |
dc.subject.por.fl_str_mv |
13C NMR FT-ICR-MS Humic substances Kohonen neural network Source discrimination Stable isotopes |
topic |
13C NMR FT-ICR-MS Humic substances Kohonen neural network Source discrimination Stable isotopes |
description |
Humic substances (HS) in sediments play an important role in carbon and nutrient biogeochemical cycles and fate of contaminants in the environment. However, information regarding HS quality and transformations that may affect their behaviour in reservoirs is still limited. The aim of this investigation was to track sources and changes in sedimentary HS across a subtropical reservoir, connecting them to in-lake processes and land-use influences. Surface sediments were collected at seven sampling sites in Itupararanga Reservoir (Brazil). Humic (HA) and fulvic (FA) acids (components of HS) were extracted from the sediment samples followed by in-depth characterisation via UV/VIS, fluorescence spectroscopy, elemental (C, N) and isotopic analysis (δ13C, δ15N), nuclear magnetic resonance (13C NMR) and Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS). All data were analysed by self-organising maps. The results showed that samples from the upstream part of the reservoir were older and more decomposed. They likely originated from C3 land-plants (δ13C varied from −26.3‰ to −22.4‰), having more aromatic, oxygen-poor (O/C < 0.5) and unsaturated compounds (H/C < 1.1). In contrast, near-dam samples were younger and had larger contributions of autochthonous material. This was confirmed by oxygen-rich (O/C > 0.5) and partly more unsaturated compounds for FA as well as oxygen-poor and saturated compounds with H/C > 1.1 for HA. Self-organising maps pointed out these differences between upstream and dam areas and indicated that agriculture lands were related to microbially-derived HS. Changes in HS composition revealed that internal reservoir processes may have influenced HS quality across the reservoir. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T10:17:50Z 2021-06-25T10:17:50Z 2021-01-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.orggeochem.2020.104165 Organic Geochemistry, v. 151. 0146-6380 http://hdl.handle.net/11449/205583 10.1016/j.orggeochem.2020.104165 2-s2.0-85097582353 |
url |
http://dx.doi.org/10.1016/j.orggeochem.2020.104165 http://hdl.handle.net/11449/205583 |
identifier_str_mv |
Organic Geochemistry, v. 151. 0146-6380 10.1016/j.orggeochem.2020.104165 2-s2.0-85097582353 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Organic Geochemistry |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1799965707241259008 |