Statistical approaches for the optimization of parameters for biotechnological production of xylitol

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dc.contributor.authorDe Cassia Lacerda Brambilla, Rita
dc.contributor.authorCanettieri, Eliana Vieira [UNESP]
dc.contributor.authorMartinez, Ernesto Acosta
dc.contributor.authorCanilha, Larissa
dc.contributor.authorSolenzal, Ana Irene Napolez
dc.contributor.authorDe Almeida E Silva, João Batista
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-29T15:03:57Z
dc.date.available2022-04-29T15:03:57Z
dc.date.issued2012-01-01
dc.description.abstractStatistics is a fundamental tool in the analysis of any process data where there is variability. There are many ways to approach the problem of optimization and design of a process, which can be handled quickly using a number of statistical techniques. Statistical design of experiments is a mechanism of data collection appropriate to study the biotechnological process, like xylitol production. Several fermentation processes have been optimized using response surface methodology. However, one of the major problems to the researcher is identifying the independent variables that influence the study in order to explain the model which best represents the process. The upstream independent variables studied in the statistical design for fermentation processes are aeration rate, temperature, phosphate level, back pressure, carbon source, pH, power input, agitation rate, carbon/nitrogen ratio, nitrogen source and dissolved oxygen level. The statistical approach for biotechnological production of xylitol from lignocellulosic materials also could be helpful to optimize pretreatment of lignocellulosic biomass, conditioning of hemicellulosic hydrolysates and xylitol recovery from fermented hydrolysates. This chapter will provide an overview on the state of knowledge in these areas focus on statistical approaches.en
dc.description.affiliationBiotechnology Department, EEL-Engineering School of Lorena, São Paulo University, P.O. Box 116
dc.description.affiliationEnergy Department, São Paulo State University-UNESP, P.O. Box 116
dc.description.affiliationDepartment of Technology, Engineering College of Food, UEFS- State University of Feira de Santana, P.O. Box 252
dc.description.affiliationDepartment of Chemical Engineering, ICIDCA-Cuban Institute for Research on Sugarcane Derivatives, P.O. Box 4026
dc.description.affiliationUnespEnergy Department, São Paulo State University-UNESP, P.O. Box 116
dc.format.extent133-160
dc.identifierhttp://dx.doi.org/10.1007/978-3-642-31887-0_6
dc.identifier.citationD-Xylitol: Fermentative Production, Application and Commercialization, p. 133-160.
dc.identifier.doi10.1007/978-3-642-31887-0_6
dc.identifier.scopus2-s2.0-84929044558
dc.identifier.urihttp://hdl.handle.net/11449/232403
dc.language.isoeng
dc.relation.ispartofD-Xylitol: Fermentative Production, Application and Commercialization
dc.sourceScopus
dc.subjectLignocellulosic materials
dc.subjectOptimization
dc.subjectStatistical approaches
dc.subjectXylitol bio-production
dc.titleStatistical approaches for the optimization of parameters for biotechnological production of xylitolen
dc.typeCapítulo de livro
unesp.departmentEnergia - FEGpt

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Guaratinguetá - FEG - Faculdade de Engenharia e Ciências