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dc.creatorCassimiro Júnior, Rivaldo
dc.date.accessioned2021-11-30T18:23:49Z
dc.date.accessioned2023-03-22T17:33:18Z
dc.date.available2023-03-22T17:33:18Z
dc.date.issued2012-08-01
dc.identifier.citationCASSIMIRO JÚNIOR, Rivaldo. Otimização Usando Algoritmo Genéticos de Biodegradação de Querosene em Água do Mar por Candida lipolytica UCP 0988. 2012. 110 fl. Mestrado (Dissertação) - Universidade Católica de Pernambuco. Programa de Pós-graduação em Desenvolvimento de Processos Ambientais. Mestrado em Desenvolvimento de Processos Ambientais, 2012.por
dc.identifier.urihttps://hdl.handle.net/20.500.12032/77026
dc.description.abstractStudies have proven the ability of various microorganisms degrade petroleum and derivatives. There is a consensus that this is the main mechanism for regeneration of the environment. The natural process of biodegradation is recognized as slow and dependent on conditions such as pH, temperature, oxygen and carbon, nitrogen and phosphorus sources. In this study, the kerosene biodegradation and the biosurfactant production by Candida lipolytica UCP 0988 were investigated. Response surface methodology was used to obtain quadratic models for biomass concentration and surface tension, using data of central composite design having pH and concentrations of ammonium sulfate and potassium phosphate monobasic as independent variables and the biomass concentration and surface tension as response variables. Uniresponse and multiresponse optimization based on different hybrid approaches using response surface methodology, desirability functions and genetic algorithms have been implemented to maximize the concentration of biomass and/or minimize the surface tension of the yeast cell-free metabolic liquid. The results were validated experimentally and show that - while complying with the characteristics and limitations of each method - the different approaches can be used successfully to optimize operational conditions of media for kerosene biodegradation and biosurfactant production in seawater, leading to bioremediation processes more fast and cost-effective. . The results were validated experimentally and shown that this approach can be used successfully to optimize operating conditions and biodegradation and biosurfactant production medium in seawater, leading to faster and more cost-effective bioremediation processes.eng
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESpor
dc.description.sponsorshipConselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPqpor
dc.description.sponsorshipFundação de Amparo a Ciência e Tecnologia do Estado de Pernambuco - FACEPEpor
dc.formatapplication/pdf*
dc.languageporpor
dc.publisherUniversidade Católica de Pernambucopor
dc.rightsAcesso Abertopor
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDissertaçõespor
dc.subjectBiodegradaçãopor
dc.subjectOtimizaçãopor
dc.subjectAlgoritmos genéticospor
dc.subjectÁgua do mar - Tratamentopor
dc.subjectCandida lipolyticapor
dc.subjectBiossurfactantespor
dc.subjectDissertationseng
dc.subjectBiodegradationeng
dc.subjectOptimizationeng
dc.subjectGenetic algorithmseng
dc.subjectSea water - Treatmenteng
dc.subjectBiosurfactantseng
dc.titleOtimização Usando Algoritmo Genéticos de Biodegradação de Querosene em Água do Mar por Candida lipolytica UCP 0988.por
dc.typeDissertaçãopor


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