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Assessment of an aerobic granular sludge system in the presence of pharmaceutically active compounds by quantitative image analysis and chemometric techniques

In this study, a sequencing batch reactor (SBR) with aerobic granular sludge (AGS) was operated with synthetic wastewater containing environmental relevant concentrations of 17β-estradiol (E2), 17α-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.
- University of Minho Portugal
- University of Minho Portugal
- Universidade Católica Portuguesa Portugal
- University of Santiago de Compostela Spain
- Universidade Católica Portuguesa Portugal
17ß-estradiol (E2), Aerobic granular sludge (AGS), Biomass structural characterization, Wastewater, Waste Disposal, Fluid, Bioreactors, 178-estradiol (E2), Sulfamethoxazole (SMX), 17?-ethinylestradiol (EE2), Biomass, Science & Technology, 17α-ethinylestradiol (EE2), Sewage, 17a-ethinylestradiol (EE2), Aerobiosis, 17β-estradiol (E2), Multivariate statistical techniques
17ß-estradiol (E2), Aerobic granular sludge (AGS), Biomass structural characterization, Wastewater, Waste Disposal, Fluid, Bioreactors, 178-estradiol (E2), Sulfamethoxazole (SMX), 17?-ethinylestradiol (EE2), Biomass, Science & Technology, 17α-ethinylestradiol (EE2), Sewage, 17a-ethinylestradiol (EE2), Aerobiosis, 17β-estradiol (E2), Multivariate statistical techniques
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).11 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% visibility views 11 download downloads 4 - 11views4downloads
Data source Views Downloads Universidade do Minho: RepositoriUM 11 4


