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dc.contributor.authorAyetigbo, O.
dc.contributor.authorLatif, S.
dc.contributor.authorAbass, A.
dc.contributor.authorMüller, J.
dc.date.accessioned2021-07-08T09:13:06Z
dc.date.available2021-07-08T09:13:06Z
dc.date.issued2021-08
dc.identifier.citationAyetigbo, O., Latif, S., Abass, A. & Müller, J. (2021). Dataset on influence of drying variables on properties of cassava foam produced from white-and yellow-fleshed cassava varieties. Data in Brief, 37, 107192: 1-14.
dc.identifier.issn2352-3409
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7164
dc.description.abstractFreshly harvested cassava has a tendency to deteriorate rapidly in its physiological properties after harvest. Therefore, cassava is often processed using a number of unit operations in order to derive a stable, storable product of acceptable eating quality. Among the unit operations employed, drying is considered as one of the oldest and most important process in arresting deterioration of cassava. In recent times, more researchers are considering foam mat drying as a drying technique for tuber or root crops, although the technique is used, ideally, for fruit juices and dairy. Cassava foam production from white and yellow cassava varieties has been optimized in our previous work [1]. Our data were procured from experimentally measuring mass of cassava foams of white and yellow cassava varieties dried at different temperatures (50, 65, 80 °C) and foam thicknesses (6, 8, 10 mm) over regular drying intervals until no considerable mass change was observed. The mass measurements are the primary datasets used in determination of secondary datasets presented here as moisture removal ratio (MR), effective moisture diffusivity (Deff), and drying rate (DR). The MR data were fitted to four thin-layer drying models (Henderson-Pabis, Page, Newton, Two-term), and Page model described the experimental drying data best. The Page model coefficients were analyzed by multiple linear regression (MLR) analysis to show how they are influenced by the drying variables. Drying rate was also fitted by Rational model to fit the DR data and to reflect the two falling rates found. Statistical accuracy and significance were calculated as coefficient of determination (R2), root mean square error (RMSE) and Chi square (χ2) and an analysis of variance (ANOVA). Data obtained here are useful as primary data in process and dryer designs and processing of cassava in the cassava industry.
dc.description.sponsorshipGlobE Biomass Value Web Project
dc.description.sponsorshipGerman Federal Ministry of Education and Research
dc.description.sponsorshipFederal Ministry for Economic Cooperation and Development, Germany
dc.format.extent1-14
dc.language.isoen
dc.subjectCassava
dc.subjectVarieties
dc.subjectDiffusion
dc.subjectDrying
dc.titleDataset on influence of drying variables on properties of cassava foam produced from white- and yellow-fleshed cassava varieties
dc.typeJournal Article
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationUniversity of Hohenheim
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubEastern Africa Hub
cg.researchthemeSocial Science and Agribusiness
cg.identifier.bibtexciteidAYETIGBO:2021a
cg.isijournalISI Journal
cg.authorship.typesCGIAR and advanced research institute
cg.iitasubjectAgribusiness
cg.iitasubjectAgronomy
cg.iitasubjectCassava
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.iitasubjectSocioeconomy
cg.journalData in Brief
cg.notesOpen Access Journal; Published online: 02 Jun 2021
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1016/j.dib.2021.107192
cg.iitaauthor.identifierAdebayo Abass: 0000-0003-1376-3608
cg.futureupdate.requiredNo
cg.identifier.issue107192
cg.identifier.volume37


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