1. Repositório Institucional da UFMG
  2. Publicações Científicas e Culturais
  3. Artigo de Periódico
Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/57141
Full metadata record
DC FieldValueLanguage
dc.creatorGabriela Rodrigues Niquinipt_BR
dc.creatorSuzimara Reis da Silvapt_BR
dc.creatorEsly Ferreira da Costa Juniorpt_BR
dc.creatorAndréa Oliveira Souza da Costapt_BR
dc.date.accessioned2023-07-28T18:00:50Z-
dc.date.available2023-07-28T18:00:50Z-
dc.date.issued2019-05-13-
dc.citation.volume91pt_BR
dc.citation.issue4pt_BR
dc.citation.spage1pt_BR
dc.citation.epage9pt_BR
dc.identifier.doihttps://doi.org/10.1590/0001-3765201920181181pt_BR
dc.identifier.issn1678-2690pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/57141-
dc.description.resumoIn this study, several linear regression models were tested to predict the cumulative 30-day methane yield produced in mesophilic solid-state anaerobic digestion, employing diverse lignocellulosic biomass sources. Data collected from 13 studies were utilized, totalizing 86 experimental points, divided into regression and validation. Models containing higher order terms, the inverse of variables and interactions among all eleven input variables were tested. Simple linear models utilizing a single variable were unable to describe the methane production, giving an R² lower than 0.37. However, combinations of multiple variables and its inverses as only independent variable permitted an increase in simple linear models predictive capacity up to 63% of experimental variability. Higher order models presented an improvement in predictive quality: for a fourth-order multiple linear model, a validation R² of 0.8329 was achieved. In view of the obtained results, the proposed linear regression models consist in an attractive tool to propose experimental routines and to investigate new biomass sources for methane production using solid-state anaerobic digestion, significantly reducing time and cost requirements to experiments’ execution.pt_BR
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Geraispt_BR
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorpt_BR
dc.format.mimetypepdfpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA QUÍMICApt_BR
dc.publisher.departmentENGENHARIA - ESCOLA DE ENGENHARIApt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofAnais da Academia Brasileira de Ciênciaspt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectLignocellulosic biomasspt_BR
dc.subjectLinear regressionpt_BR
dc.subjectMethanept_BR
dc.subjectPolynomial modelspt_BR
dc.subjectSolid-state anaerobic digestionpt_BR
dc.subject.otherBiotecnologiapt_BR
dc.subject.otherBiomaterialpt_BR
dc.subject.otherEnergia - Fontes alternativaspt_BR
dc.subject.otherMetanopt_BR
dc.titleFeedstock and inoculum characteristics and process parameters as predictors for methane yield in mesophilic solid-state anaerobic digestionpt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://www.scielo.br/j/aabc/a/ZZP7srQp3xvCJL6c8bfSmTp/?lang=enpt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-9075-0814pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-6763-9752pt_BR
Appears in Collections:Artigo de Periódico

Files in This Item:
File Description SizeFormat 
Feedstock and inoculum characteristics and process parameters as predictors for methane yield in mesophilic solid-state anaerobic digestion.pdf979.62 kBAdobe PDFView/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.