Analysis of experimental biosensor/FIA lactose measurements

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dc.identifier.uri http://dx.doi.org/10.15488/1984
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/2009
dc.contributor.author Ferreira, L.S.
dc.contributor.author Souza, M.B.
dc.contributor.author Trierweiler, J.O.
dc.contributor.author Hitzmann, B.
dc.contributor.author Folly, R.O.M.
dc.date.accessioned 2017-10-10T07:24:38Z
dc.date.available 2017-10-10T07:24:38Z
dc.date.issued 2003
dc.identifier.citation Ferreira, L.S.; Souza, M.B.; Trierweiler, J.O.; Hitzmann, B.; Folly, R.O.M.: Analysis of experimental biosensor/FIA lactose measurements. In: Brazilian Journal of Chemical Engineering 20 (2003), Nr. 1, S. 7-13. DOI: https://doi.org/10.1590/S0104-66322003000100003
dc.description.abstract Whey is an abundant effluent in the production of cheese and casein. The biotechnological utilization of this economically important and nutritive source is limited mainly because of the presence of high percentages of lactose. This disaccharide has poor solubility, which can cause crystallization and insufficient sweetness in dairy food; additionally, part of the adult population suffers from associated lactose intolerance diseases. There are several methods to determine lactose such as spectrophotometry, polarimetry, infrared spectroscopy, titrimetry and chromatography. However these methods are tedious and time-consuming due to long sample preparation. These disadvantages stimulated the development of an enzymatic lactose biosensor. It employs two immobilized enzymes, beta-galactosidase and glucose oxidase and the quantitative analysis of lactose is based on determination of oxygen consumption in the enzymatic reaction. The influence of temperature on the biosensor signal was 'experimentally studied. It was observed that a nonlinear relationship exists between the electric response of the biosensor - provided by CAFCA (Computer Assisted Flow Control & Analysis - ANASYSCON, Hannover) - and lactose concentration. In this work, attempts were made to correlate these variables using a simple nonlinear model and multilayered neural networks, with the latter providing the best modeling of the experimental data. eng
dc.language.iso eng
dc.publisher Sao Paulo : Brazilian Soc. Chemical Eng.
dc.relation.ispartofseries Brazilian Journal of Chemical Engineering 20 (2003), Nr. 1
dc.rights CC BY-NC 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by-nc/4.0/
dc.subject biosensor eng
dc.subject fia eng
dc.subject neural networks eng
dc.subject beta-galactosidase eng
dc.subject flow-injection analysis eng
dc.subject beta-galactosidase eng
dc.subject glucose eng
dc.subject components eng
dc.subject sucrose eng
dc.subject system eng
dc.subject sensor eng
dc.subject milk eng
dc.subject.classification Konferenzschrift ger
dc.subject.ddc 540 | Chemie ger
dc.title Analysis of experimental biosensor/FIA lactose measurements eng
dc.type article
dc.type Text
dc.relation.issn 0104-6632
dc.relation.doi https://doi.org/10.1590/S0104-66322003000100003
dc.bibliographicCitation.issue 1
dc.bibliographicCitation.volume 20
dc.bibliographicCitation.firstPage 7
dc.bibliographicCitation.lastPage 13
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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