Quantitative image analysis for assessing extracellular polymeric substances in activated sludge under atrazine exposure
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/1822/91576 |
Resumo: | Extracellular polymeric substances (EPS) play a vital role in biological wastewater treatment systems. This study investigates the impact of herbicide atrazine (ATZ) on the overall performance, EPS yield, composition, and sludge morphology in an activated sludge (AS) system operated in a sequencing batch reactor (SBR). Since conventional methods for analyzing EPS are time-consuming and releases residues, a new approach was developed in this work to evaluate the EPS fractions and components, based on the morphological characterization of the biomass using quantitative image analysis (QIA) technique coupled with multivariate statistics. Results showed that exposure to ATZ inhibit biomass activity in terms of organic matter (COD) and nitrogen removal. Moreover, both tightly bound EPS (TB-EPS) and loosely bound EPS (LB-EPS) increased under ATZ, indicating that microorganisms release EPS as a defense mechanism against environmental changes. The PN/PS ratio also increases, indicating likely increased hydrophobicity in ATZ phases. Furthermore, ATZ phases exhibit a predominance of large aggregates compared to intermediate and small ones, indicating a change in aggregate morphological structure associated with EPS production. The new approach using QIA coupled with partial least squares (PLS) modeling provides accurate predictions of EPS content. The increase in TB-EPS is closely related to the rise of large aggregates in phases exposed to higher ATZ concentrations. The PLS models demonstrate high accuracy for EPS prediction (coefficients of determination, R2 above 0.86), showcasing the feasibility of using QIA for EPS assessment in AS systems. This approach offers significant potential for regular process monitoring and management, providing a more environmentally friendly methodology by eliminating the need for chemical usage. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Quantitative image analysis for assessing extracellular polymeric substances in activated sludge under atrazine exposureAtrazineSequencing batch reactorAggregatesImage analysisPartial least squaresExtracellular polymeric substances (EPS) play a vital role in biological wastewater treatment systems. This study investigates the impact of herbicide atrazine (ATZ) on the overall performance, EPS yield, composition, and sludge morphology in an activated sludge (AS) system operated in a sequencing batch reactor (SBR). Since conventional methods for analyzing EPS are time-consuming and releases residues, a new approach was developed in this work to evaluate the EPS fractions and components, based on the morphological characterization of the biomass using quantitative image analysis (QIA) technique coupled with multivariate statistics. Results showed that exposure to ATZ inhibit biomass activity in terms of organic matter (COD) and nitrogen removal. Moreover, both tightly bound EPS (TB-EPS) and loosely bound EPS (LB-EPS) increased under ATZ, indicating that microorganisms release EPS as a defense mechanism against environmental changes. The PN/PS ratio also increases, indicating likely increased hydrophobicity in ATZ phases. Furthermore, ATZ phases exhibit a predominance of large aggregates compared to intermediate and small ones, indicating a change in aggregate morphological structure associated with EPS production. The new approach using QIA coupled with partial least squares (PLS) modeling provides accurate predictions of EPS content. The increase in TB-EPS is closely related to the rise of large aggregates in phases exposed to higher ATZ concentrations. The PLS models demonstrate high accuracy for EPS prediction (coefficients of determination, R2 above 0.86), showcasing the feasibility of using QIA for EPS assessment in AS systems. This approach offers significant potential for regular process monitoring and management, providing a more environmentally friendly methodology by eliminating the need for chemical usage.info:eu-repo/semantics/publishedVersionElsevier 1Universidade do MinhoMelo, AntonioCosta, Joana Sofia GomesQuintelas, Cristina Maria CatalãoAmaral, António LuísFerreira, Eugénio C.Mesquita, Daniela P.2024-12-032024-12-03T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/91576engMelo, A. R. B.; Costa, Joana Sofia Gomes; Quintelas, Cristina; Amaral, A. Luís; Ferreira, Eugénio C.; Mesquita, Daniela P., Quantitative image analysis for assessing extracellular polymeric substances in activated sludge under atrazine exposure. Separation and Purification Technology, 349(127831), 20241383-586610.1016/j.seppur.2024.127831https://www.journals.elsevier.com/separation-and-purification-technologyinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-06-08T01:19:55Zoai:repositorium.sdum.uminho.pt:1822/91576Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-06-08T01:19:55Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Quantitative image analysis for assessing extracellular polymeric substances in activated sludge under atrazine exposure |
title |
Quantitative image analysis for assessing extracellular polymeric substances in activated sludge under atrazine exposure |
spellingShingle |
Quantitative image analysis for assessing extracellular polymeric substances in activated sludge under atrazine exposure Melo, Antonio Atrazine Sequencing batch reactor Aggregates Image analysis Partial least squares |
title_short |
Quantitative image analysis for assessing extracellular polymeric substances in activated sludge under atrazine exposure |
title_full |
Quantitative image analysis for assessing extracellular polymeric substances in activated sludge under atrazine exposure |
title_fullStr |
Quantitative image analysis for assessing extracellular polymeric substances in activated sludge under atrazine exposure |
title_full_unstemmed |
Quantitative image analysis for assessing extracellular polymeric substances in activated sludge under atrazine exposure |
title_sort |
Quantitative image analysis for assessing extracellular polymeric substances in activated sludge under atrazine exposure |
author |
Melo, Antonio |
author_facet |
Melo, Antonio Costa, Joana Sofia Gomes Quintelas, Cristina Maria Catalão Amaral, António Luís Ferreira, Eugénio C. Mesquita, Daniela P. |
author_role |
author |
author2 |
Costa, Joana Sofia Gomes Quintelas, Cristina Maria Catalão Amaral, António Luís Ferreira, Eugénio C. Mesquita, Daniela P. |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Melo, Antonio Costa, Joana Sofia Gomes Quintelas, Cristina Maria Catalão Amaral, António Luís Ferreira, Eugénio C. Mesquita, Daniela P. |
dc.subject.por.fl_str_mv |
Atrazine Sequencing batch reactor Aggregates Image analysis Partial least squares |
topic |
Atrazine Sequencing batch reactor Aggregates Image analysis Partial least squares |
description |
Extracellular polymeric substances (EPS) play a vital role in biological wastewater treatment systems. This study investigates the impact of herbicide atrazine (ATZ) on the overall performance, EPS yield, composition, and sludge morphology in an activated sludge (AS) system operated in a sequencing batch reactor (SBR). Since conventional methods for analyzing EPS are time-consuming and releases residues, a new approach was developed in this work to evaluate the EPS fractions and components, based on the morphological characterization of the biomass using quantitative image analysis (QIA) technique coupled with multivariate statistics. Results showed that exposure to ATZ inhibit biomass activity in terms of organic matter (COD) and nitrogen removal. Moreover, both tightly bound EPS (TB-EPS) and loosely bound EPS (LB-EPS) increased under ATZ, indicating that microorganisms release EPS as a defense mechanism against environmental changes. The PN/PS ratio also increases, indicating likely increased hydrophobicity in ATZ phases. Furthermore, ATZ phases exhibit a predominance of large aggregates compared to intermediate and small ones, indicating a change in aggregate morphological structure associated with EPS production. The new approach using QIA coupled with partial least squares (PLS) modeling provides accurate predictions of EPS content. The increase in TB-EPS is closely related to the rise of large aggregates in phases exposed to higher ATZ concentrations. The PLS models demonstrate high accuracy for EPS prediction (coefficients of determination, R2 above 0.86), showcasing the feasibility of using QIA for EPS assessment in AS systems. This approach offers significant potential for regular process monitoring and management, providing a more environmentally friendly methodology by eliminating the need for chemical usage. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-12-03 2024-12-03T00:00:00Z |
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 |
https://hdl.handle.net/1822/91576 |
url |
https://hdl.handle.net/1822/91576 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Melo, A. R. B.; Costa, Joana Sofia Gomes; Quintelas, Cristina; Amaral, A. Luís; Ferreira, Eugénio C.; Mesquita, Daniela P., Quantitative image analysis for assessing extracellular polymeric substances in activated sludge under atrazine exposure. Separation and Purification Technology, 349(127831), 2024 1383-5866 10.1016/j.seppur.2024.127831 https://www.journals.elsevier.com/separation-and-purification-technology |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier 1 |
publisher.none.fl_str_mv |
Elsevier 1 |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
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1817546036032307200 |