Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/71529

TítuloAssessment of an aerobic granular sludge system in the presence of pharmaceutically active compounds by quantitative image analysis and chemometric techniques
Autor(es)Leal, Cristiano
Lopes, Mariana
Val del Río, Angeles
Quintelas, Cristina
Castro, Paula M. L.
Ferreira, Eugénio C.
Amaral, A. Luís
Mesquita, D. P.
Palavras-chave17ß-estradiol (E2)
17a-ethinylestradiol (EE2)
Sulfamethoxazole (SMX)
Aerobic granular sludge (AGS)
Biomass structural characterization
Multivariate statistical techniques
178-estradiol (E2)
17?-ethinylestradiol (EE2)
17β-estradiol (E2)
Data2021
EditoraElsevier 1
RevistaJournal of Environmental Management
CitaçãoLeal, Cristiano; Lopes, Mariana; Val del Río, Angeles; Quintelas, Cristina; Castro, Paula M. L.; Ferreira, Eugénio C.; Amaral, A. Luís; Mesquita, Daniela P., Assessment of an aerobic granular sludge system in the presence of pharmaceutically active compounds by quantitative image analysis and chemometric techniques. Journal of Environmental Management, 289(112474), 2021
Resumo(s)In this study, a sequencing batch reactor (SBR) with aerobic granular sludge (AGS) was operated with synthetic wastewater containing environmental relevant concentrations of 17-estradiol (E2), 17-ethinylestradiol (EE2) and sulfamethoxazole (SMX). Despite the presence of the studied PhAC, the granular fraction clearly predominated (TSSgran/TSS ranging from 0.82 to 0.98) throughout the monitoring period, presenting aggregates with high organic fraction (VSS/TSS above 0.83) and good settling characteristics (SVI5 ranging from 15 to 39 mL/gTSS). A principal component analysis (PCA) with quantitative image analysis (QIA) based data allowed to distinguish the different operational periods, namely with mature granules (CONT), and the E2, EE2, and SMX feeding periods. It further revealed a positive relationship between the biomass density, sludge settling ability, overall and granular biomass contents, granulation properties, granular biomass fraction and large granules fraction and size. Moreover, a discriminant analysis (DA) allowed to successfully discriminate not only the different operational periods, mainly by using the floccular apparent density, granular stratification and contents data, but also the PhAC presence in samples. The filamentous bacteria contents, sludge settling properties, settling properties stability and granular stratification, structure and contents parameters were found to be crucial for that purpose.
TipoArtigo
URIhttps://hdl.handle.net/1822/71529
DOI10.1016/j.jenvman.2021.112474
ISSN0301-4797
Versão da editorahttps://www.sciencedirect.com/science/article/pii/S0301479721005363
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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