Demaria, Francesca
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Francesca
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Francesca Demaria
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Publikation Investigation of biologically active zeolite. Role of colonization in the removal of 14C-labelled sulfamethoxazole in wastewater(Elsevier, 02/2024) Cuomo, Maurizio; König, Roger; Zanardini, Elisabetta; Di Guardo, Antonio; Terzaghi, Elisa; Kolvenbach, Boris; Demaria, Francesca; Corvini, Philippe; Principi, PamelaUp-to-date approaches to remove micropollutants in wastewater treatment are based on adsorbing materials like activated carbon. These fossil-based materials can also provide a surface for microbial colonization, which could further improve the removal of MPs. As zeolite filters have shown interesting performance in the removal of MPs in previous works, this study aimed to investigate the effect of microbial colonization on such filters on the elimination of 14C-labelled sulfamethoxazole (SMX), an antibiotic from the class of sulfonamides. Lab scale removal tests were set in 100 mL reactors and monitored for 150 days at room temperature. Taxa known to be linked to organic pollutant degradation (Caulobacterales, Rhizobiales, Burkholderiales) were found among the microbial community attached to the zeolite. Bacterial colonization of zeolite filters improved the removal of 14C-sulfamethoxazole by 35 % compared to the control. An analysis of the microbial community dynamics over time revealed the increased abundance of the Vicinamibacterales taxon after 50 days of contact with SMX. This order abundance, linked to degradation of sulfonamides, went from 0 to 17 %; and Shannon diversity ranged from 1.51 to 1.99. Data showed that zeolite filters as adsorbing material in wastewater treatment plants can improve MPs removal by supporting bacterial colonization, making it an interesting support that could synergize with biological activated carbon.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Pollutant profile complexity governs wastewater removal of recalcitrant pharmaceuticals(Nature, 2024) Suleiman, Marcel; Le Lay, Natalie; Demaria, Francesca; Kolvenbach, Boris; Cretoiu, Mariana; Petchey, Owen; Jousset, Alexandre; Corvini, PhilippeOrganic pollutants are an increasing threat for wildlife and humans. Managing their removal is however complicated by the difficulties in predicting degradation rates. In this work, we demonstrate that the complexity of the pollutant profile, the set of co-existing contaminants, is a major driver of biodegradation in wastewater. We built representative assemblages out of one to five common pharmaceuticals (caffeine, atenolol, paracetamol, ibuprofen, and enalapril) selected along a gradient of biodegradability. We followed their individual removal by wastewater microbial communities. The presence of multichemical background pollution was essential for the removal of recalcitrant molecules such as ibuprofen. High-order interactions between multiple pollutants drove removal efficiency. We explain these interactions by shifts in the microbiome, with degradable molecules such as paracetamol enriching species and pathways involved in the removal of several organic pollutants. We conclude that pollutants should be treated as part of a complex system, with emerging pollutants potentially showing cascading effects and offering leverage to promote bioremediation.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Analyzing microbial communities and their biodegradation of multiple pharmaceuticals in membrane bioreactors(Springer, 12.07.2023) Suleiman, Marcel; Demaria, Francesca; Zimmardi, Cristina; Kolvenbach, Boris; Corvini, PhilippeAbstract Pharmaceuticals are of concern to our planet and health as they can accumulate in the environment. The impact of these biologically active compounds on ecosystems is hard to predict, and information on their biodegradation is necessary to establish sound risk assessment. Microbial communities are promising candidates for the biodegradation of pharmaceuticals such as ibuprofen, but little is known yet about their degradation capacity of multiple micropollutants at higher concentrations (100 mg/L). In this work, microbial communities were cultivated in lab-scale membrane bioreactors (MBRs) exposed to increasing concentrations of a mixture of six micropollutants (ibuprofen, diclofenac, enalapril, caffeine, atenolol, paracetamol). Key players of biodegradation were identified using a combinatorial approach of 16S rRNA sequencing and analytics. Microbial community structure changed with increasing pharmaceutical intake (from 1 to 100 mg/L) and reached a steady-state during incubation for 7 weeks on 100 mg/L. HPLC analysis revealed a fluctuating but significant degradation (30–100%) of five pollutants (caffeine, paracetamol, ibuprofen, atenolol, enalapril) by an established and stable microbial community mainly composed of Achromobacter, Cupriavidus, Pseudomonas and Leucobacter. By using the microbial community from MBR1 as inoculum for further batch culture experiments on single micropollutants (400 mg/L substrate, respectively), different active microbial consortia were obtained for each single micropollutant. Microbial genera potentially responsible for degradation of the respective micropollutant were identified, i.e. Pseudomonas sp. and Sphingobacterium sp. for ibuprofen, caffeine and paracetamol, Sphingomonas sp. for atenolol and Klebsiella sp. for enalapril. Our study demonstrates the feasibility of cultivating stable microbial communities capable of degrading simultaneously a mixture of highly concentrated pharmaceuticals in lab-scale MBRs and the identification of microbial genera potentially responsible for the degradation of specific pollutants. Key points • Multiple pharmaceuticals were removed by stable microbial communities. • Microbial key players of five main pharmaceuticals were identified.01A - Beitrag in wissenschaftlicher Zeitschrift