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Understanding the performance of an AnMBR treating urban wastewater and food waste via model simulation and characterization of the microbial population dynamics

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Understanding the performance of an AnMBR treating urban wastewater and food waste via model simulation and characterization of the microbial population dynamics

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dc.contributor.author Durán Pinzón, Freddy es_ES
dc.contributor.author Zamorano -López, Núria es_ES
dc.contributor.author Barat, Ramón es_ES
dc.contributor.author FERRER, J. es_ES
dc.contributor.author Aguado García, Daniel es_ES
dc.date.accessioned 2019-04-13T20:24:53Z
dc.date.available 2019-04-13T20:24:53Z
dc.date.issued 2018 es_ES
dc.identifier.issn 1359-5113 es_ES
dc.identifier.uri http://hdl.handle.net/10251/119373
dc.description.abstract [EN] An anaerobic membrane bioreactor (AnMBR) pilot plant treating kitchen food waste (FW) jointly with urban wastewater was run for 536 days. Different operational conditions were tested varying the sludge retention time (SRT), the hydraulic retention time (HRT) and the penetration factor (PF) of food waste disposers. COD removal efficiency exceeded 90% in all tested conditions. The joint treatment resulted in an almost 3-fold increase in methane production (at 70 days of SRT, 24 h HRT and 80% PF) in comparison with the treatment of urban wastewater only. Mathematical model simulations and Illumina technology were used to obtain in-depth information of this outstanding process performance. Both the PF and SRT factors increased influent biodegradability. The experimental results were accurately reproduced via model simulations modifying only the influent biodegradability. The high SRT and the presence of ground FW in the influent resulted in higher hydrolytic activity. Not only did the Archaea population increase 3-fold but Levilinea genera was also significantly raised. Three new genera characterised by anaerobic fermentation of amino acids (Leptolinea, Aminomonas and Aminobacterium) were among the ten most abundant of the total sequences identified during the joint treatment, indicating an improvement in the hydrolysis step of anaerobic degradation. Influent biodegradability remained at high values when FW addition stopped. es_ES
dc.description.sponsorship This research work has been financially supported by the Generalitat Valenciana (PROMETEO/2012/029 PROJECT), which is gratefully acknowledged.
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Process Biochemistry es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject AnMBR es_ES
dc.subject Food waste es_ES
dc.subject Resource recovery es_ES
dc.subject Simulation es_ES
dc.subject.classification TECNOLOGIA DEL MEDIO AMBIENTE es_ES
dc.title Understanding the performance of an AnMBR treating urban wastewater and food waste via model simulation and characterization of the microbial population dynamics es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.procbio.2018.02.010 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEO%2F2012%2F029/ES/INCORPORACION RSU AL TRATAMIENTO DE AGUAS SAMBR: ESTUDIO DE VIABILIDAD DE LA INCORPORACION DE LA FRACCION ORGANICA DE LOS RESIDUOS SOLIDOS URBANOS EN EL TRATAMIENTO DE AGUAS RESIDUALES MEDIANTE MEMBRANAS ANAEROBIAS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.description.bibliographicCitation Durán Pinzón, F.; Zamorano -López, N.; Barat, R.; Ferrer, J.; Aguado García, D. (2018). Understanding the performance of an AnMBR treating urban wastewater and food waste via model simulation and characterization of the microbial population dynamics. Process Biochemistry. 67:139-146. https://doi.org/10.1016/j.procbio.2018.02.010 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.procbio.2018.02.010 es_ES
dc.description.upvformatpinicio 139 es_ES
dc.description.upvformatpfin 146 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 67 es_ES
dc.relation.pasarela S\352501 es_ES
dc.contributor.funder Generalitat Valenciana es_ES


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