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hal.structure.identifierUnité de recherche sur les Biopolymères, Interactions Assemblages [BIA]
dc.contributor.authorKANSOU, Kamal
hal.structure.identifierUnité de recherche sur les Biopolymères, Interactions Assemblages [BIA]
dc.contributor.authorCHIRON, Hubert
hal.structure.identifierUnité de recherche sur les Biopolymères, Interactions Assemblages [BIA]
dc.contributor.authorDELLA VALLE, Guy
hal.structure.identifierInstitut de Mécanique et d'Ingénierie de Bordeaux [I2M]
dc.contributor.authorNDIAYE, Amadou
hal.structure.identifierPolytech'Paris-UPMC
dc.contributor.authorROUSSEL, Philippe
hal.structure.identifierUnité de recherche sur les Biopolymères, Interactions Assemblages [BIA]
hal.structure.identifierUniversity of Agriculture Faisalabad [UAF]
dc.contributor.authorSHEHZAD, Aamir
dc.date.accessioned2021-05-14T09:35:05Z
dc.date.available2021-05-14T09:35:05Z
dc.date.issued2013
dc.identifier.issn1935-5130
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/76180
dc.description.abstractEnKinetics of porosity and stability of dough expansion during proofing have been fitted with Gompertz and exponential models, respectively, for 24 distinct mixing conditions and same dough composition. Data for 10 conditions were used to relate the parameters of the models to mixing variables, specific power, and texturing time, through power regression models. Interpretation of the relationships between the mixing variables and the parameters of the Gompertz and exponential models emphasises the influence of dough rheological properties on dough expansion during fermentation and likely on bubbles distribution. The prediction performances of these porosity and stability models were evaluated using the root mean square error and mean absolute percentage error, for time series of the remaining 14 mixing conditions. The results show that integrating the mixing variables into the models significantly improves the prediction accuracy compared to control models whose parameters values are arithmetic means. Finally, we present an application where the mixing variables are determined in order to obtain a dough exhibiting the desired features during proofing, such as high levels of porosity and stability. Intensive mixing yields the best result but a more interesting trade-off can be obtained with intermediary mixing processes.
dc.language.isoen
dc.publisherSpringer
dc.subjectGLUTEN
dc.subject.enBread dough
dc.subject.enFermentation
dc.subject.enNonlinear regression model
dc.subject.enPrediction
dc.subject.enControl
dc.subject.enImage analysis
dc.subject.enDYNAMIC DENSITY
dc.subject.enBUBBLE-GROWTH
dc.subject.enBREAD DOUGH
dc.subject.enFERMENTATION
dc.subject.enRHEOLOGY
dc.subject.enBREADMAKING
dc.subject.enQUALITY
dc.title.enModelling Wheat Flour Dough Proofing Behaviour: Effects of Mixing Conditions on Porosity and Stability
dc.typeArticle de revue
dc.identifier.doi10.1007/s11947-012-0854-1
dc.subject.halSciences du Vivant [q-bio]/Ingénierie des aliments
dc.subject.halSciences de l'ingénieur [physics]/Génie des procédés
bordeaux.journalFood and Bioprocess Technology
bordeaux.page2150 - 2164
bordeaux.volume6
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.issue8
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.peerReviewedoui
hal.identifierhal-02644428
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02644428v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Food%20and%20Bioprocess%20Technology&rft.date=2013&rft.volume=6&rft.issue=8&rft.spage=2150%20-%202164&rft.epage=2150%20-%202164&rft.eissn=1935-5130&rft.issn=1935-5130&rft.au=KANSOU,%20Kamal&CHIRON,%20Hubert&DELLA%20VALLE,%20Guy&NDIAYE,%20Amadou&ROUSSEL,%20Philippe&rft.genre=article


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