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Optimized conditions for methane production and energy valorization through co-digestion of solid and liquid wastes from coffee and beer industries using granular sludge and cattle manure

dc.contributor.authorRodrigues, Caroline Varella
dc.contributor.authorCamargo, Franciele Pereira
dc.contributor.authorLourenço, Vitor Alves
dc.contributor.authorSakamoto, Isabel Kimiko
dc.contributor.authorMaintinguer, Sandra Imaculada [UNESP]
dc.contributor.authorSilva, Edson Luiz
dc.contributor.authorVaresche, Maria Bernadete Amâncio
dc.date.accessioned2026-05-12T14:01:16Z
dc.date.issued2023-12-01
dc.description.abstractEvery year there is excess waste generated from coffee processing, such as wastewater and solid waste (pulp and husk), in addition to waste from the breweries’ production chain that causes environmental impacts due to inappropriate disposal. This study focuses on optimizing the interaction of these wastes for anaerobic co-digestion to obtain methane in batch reactors with mixed culture composed of cattle manure and granular sludge. Thus, the experimental planning via Rotational Central Composite Design (RCCD) with a complete factorial design of 23 was carried out to evaluate the influence of the concentration of coffee wastewater processing (5.2–17.2 g COD L−1), wastewater from brewery industry (0.5–1.2 g COD L−1) and coffee pulp and husk hydrothermally pretreated (0.5–1.2 g L−1). After validation, the optimal conditions for CH4 production were 10 g COD L−1 of coffee wastewater co-digested with 0.9 g COD L−1 of brewery wastewater and 1 g L−1 of coffee pulp and husk, obtaining a yield of 750.8 ± 18.7 mL CH4 g−1 TVS. The taxonomy and metabolic inference were carried out by sequencing of the 16 S rRNA gene on the Illumina HiSeq platform. Under validation assay conditions, producers of cellulolytic enzymes were inferred by Macellibacteroides, Christensenellaceae_R-7_group, Ruminococcus and Bacteroides, in addition to archaea Methanosaeta. With that, it was possible to infer that acetyl-CoA synthetase enzyme was inferred in higher proportion in validation assay, related to acetoclastic methanogenesis. Through the optimized condition and the energy balance, it was possible to predict the supplying of 91.1% of the farm's energy demand.
dc.description.affiliationDepartment of Hydraulics and Sanitation, São Carlos School of Engineering, University of São Paulo (USP), 1100 João Dagnone Avenue, São Carlos, SP 13563120, Brazil
dc.description.affiliationBioenergy Research Institute (IPBEN) – São Paulo State University (UNESP), 2527 10 Street, Rio Claro, SP 13500230, Brazil
dc.description.affiliationCenter of Exact Sciences and Technology, Department of Chemical Engineering, Federal University of São Carlos (UFSCar), São Carlos, SP, CEP 13565905, Brazil
dc.description.affiliationUnespBioenergy Research Institute (IPBEN) – São Paulo State University (UNESP), 2527 10 Street, Rio Claro, SP 13500230, Brazil
dc.identifierhttps://app.dimensions.ai/details/publication/pub.1164971642
dc.identifier.dimensionspub.1164971642
dc.identifier.doi10.1016/j.jece.2023.111250
dc.identifier.issn2213-3437
dc.identifier.issn2213-2929
dc.identifier.orcid0000-0003-2012-6711
dc.identifier.orcid0000-0002-0246-0399
dc.identifier.orcid0000-0003-3940-7812
dc.identifier.orcid0000-0003-4475-1116
dc.identifier.orcid0000-0002-4584-7649
dc.identifier.orcid0000-0003-1208-3483
dc.identifier.orcid0000-0003-3194-4912
dc.identifier.orcid0000-0003-3124-7471
dc.identifier.urihttps://hdl.handle.net/11449/323714
dc.publisherElsevier
dc.relation.ispartofJournal of Environmental Chemical Engineering; n. 6; v. 11; p. 111250
dc.rights.accessRightsAcesso restritopt
dc.rights.sourceRightsclosed
dc.sourceDimensions
dc.titleOptimized conditions for methane production and energy valorization through co-digestion of solid and liquid wastes from coffee and beer industries using granular sludge and cattle manure
dc.typeArtigopt
dspace.entity.typePublication
relation.isOrgUnitOfPublication47172ef9-a27b-4127-9f16-86ffdf5bd7cc
relation.isOrgUnitOfPublication.latestForDiscovery47172ef9-a27b-4127-9f16-86ffdf5bd7cc
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Pesquisa em Bioenergia, Rio Claropt

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