Raman spectroscopy and chemometrics for on-line control of glucose fermentation by Saccharomyces cerevisiae

dc.creatorAvila, TC
dc.creatorPoppi, RJ
dc.creatorLunardi, I
dc.creatorTizei, PAG
dc.creatorPereira, GAG
dc.date2012
dc.dateNOV-DEC
dc.date2014-07-30T14:19:21Z
dc.date2015-11-26T17:39:51Z
dc.date2014-07-30T14:19:21Z
dc.date2015-11-26T17:39:51Z
dc.date.accessioned2018-03-29T00:21:27Z
dc.date.available2018-03-29T00:21:27Z
dc.identifierBiotechnology Progress. Wiley-blackwell, v. 28, n. 6, n. 1598, n. 1604, 2012.
dc.identifier8756-7938
dc.identifierWOS:000312157100026
dc.identifier10.1002/btpr.1615
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/58840
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/58840
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1286557
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionThis work presents the use of Raman spectroscopy and chemometrics for on-line control of the fermentation process of glucose by Saccharomyces cerevisiae. In a first approach, an on-line determination of glucose, ethanol, glycerol, and cells was accomplished using multivariate calibration based on partial least squares (PLS). The PLS models presented values of root mean square error of prediction (RMSEP) of 0.53, 0.25, and 0.02% for glucose, ethanol and glycerol, respectively, and RMSEP of 1.02 g L-1 for cells. In a second approach, multivariate control charts based on multiway principal component analysis (MPCA) were developed for detection of fermentation fault-batch. Two multivariate control charts were developed, based on the squared prediction error (Q) and Hotelling's T2. The use of the Q control chart in on-line monitoring was efficient for detection of the faults caused by temperature, type of substrate and contamination, but the T2 control chart was not able to monitor these faults. On-line monitoring by Raman spectroscopy in conjunction with chemometric procedures allows control of the fermentative process with advantages in relation to reference methods, which require pretreatment, manipulation of samples and are time consuming. Also, the use of multivariate control charts made possible the detection of faults in a simple way, based only on the spectra of the system. (C) 2012 American Institute of Chemical Engineers Biotechnol. Prog., 2012
dc.description28
dc.description6
dc.description1598
dc.description1604
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.languageen
dc.publisherWiley-blackwell
dc.publisherHoboken
dc.publisherEUA
dc.relationBiotechnology Progress
dc.relationBiotechnol. Prog.
dc.rightsaberto
dc.rightshttp://olabout.wiley.com/WileyCDA/Section/id-406071.html
dc.sourceWeb of Science
dc.subjecton-line monitoring
dc.subjectRaman spectroscopy
dc.subjectpartial least squares
dc.subjectmultiway principal component analysis
dc.subjectmultivariate control charts
dc.subjectPrincipal Component Analysis
dc.subjectMonitoring Batch Processes
dc.subjectMultiwavelength Fluorescence
dc.subjectMultivariate Calibration
dc.subjectAlcoholic Fermentation
dc.subjectEthanol-production
dc.subjectFault-detection
dc.subjectFt-mir
dc.subjectBioprocess
dc.subjectCultivations
dc.titleRaman spectroscopy and chemometrics for on-line control of glucose fermentation by Saccharomyces cerevisiae
dc.typeArtículos de revistas


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