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Influence of moisture content, temperature, and time on free fatty acid in stored crude palm oil

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dc.title Influence of moisture content, temperature, and time on free fatty acid in stored crude palm oil en
dc.contributor.author Emebu, Samuel
dc.contributor.author Osaikhuiwuomwan, Omokaro
dc.contributor.author Mankonen, Aleksi
dc.contributor.author Udoye, Chinweike
dc.contributor.author Okieimen, Charity
dc.contributor.author Janáčová, Dagmar
dc.relation.ispartof Scientific Reports
dc.identifier.issn 2045-2322 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2022
utb.relation.volume 12
utb.relation.issue 1
dc.type article
dc.language.iso en
dc.publisher Nature Portfolio
dc.identifier.doi 10.1038/s41598-022-13998-1
dc.relation.uri https://www.nature.com/articles/s41598-022-13998-1
dc.description.abstract Consequent to the importance of crude palm oil (CPO) to global food processing industries, and the need for quality assurance of CPO. A kinetic model that describes changes of free fatty acid (FFA) in industrially stored CPO has been developed. CPO FFA is a well-known indicator of the deterioration of CPO. The effect of initial moisture content, storage temperature, and time on CPO FFA have been investigated in this work. Specifically, statistical multi-regression models for changes in FFA and moisture content (MC) were developed at P-value < 0.05 or 95% confidence interval fence. It was found that CPO FFA increases with an increase in moisture content, temperature, and time in their linear term and in respect to decreases in their quadratic term, and interaction between moisture content and temperature. The CPO MC was also found to decrease with an increase in temperature and time and increases in the quadratic term of temperature. Although while the model for CPO FFA, based on Fisher's F-test: F-model(6.80) < F-95%(19.30), showed no lack-of-fit; that of CPO MC showed lack-of-fit, F-model(13.67) not less than F-95%(4.39). Furthermore, based on inference from the statistical model, their kinetic models were also developed. While the CPO FFA kinetic, found to be a half-order kinetic model and its other auxiliary models showed a very good fit (R-2 {0.9933-0.8614} and RMSE {0.0020-3.6716}); that of CPO MC was a poorly fitted first-order kinetic model (R-2 {0.9885-0.3935} and RMSE {0.0605-17.8501}). en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1011026
utb.identifier.obdid 43883619
utb.identifier.scopus 2-s2.0-85131896428
utb.identifier.wok 000811293500046
utb.identifier.pubmed 35701515
utb.source J-wok
dc.date.accessioned 2022-07-13T14:42:41Z
dc.date.available 2022-07-13T14:42:41Z
dc.rights Attribution 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.ou Department of Automation and Control Engineering
utb.contributor.internalauthor Emebu, Samuel
utb.contributor.internalauthor Janáčová, Dagmar
utb.fulltext.affiliation Samuel Emebu1,2✉, Omokaro Osaikhuiwuomwan2, Aleksi Mankonen3, Chinweike Udoye4, Charity Okieimen2 & Dagmar Janáčová1 1 Department of Automatic Control and Informatics, Tomas Bata University, Jižní Svahy Nad Stráněmi 4511, 76001 Zlin, Czech Republic. 2 Department of Chemical Engineering, University of Benin, PO Box 1154, Benin City, Nigeria. 3 Department of Energy, Lappeenranta-Lahti University of Technology, Mukkulankatu 19, 15210 Lahti, Finland. 4 Institute for Systemic Inflammation Research, University of Lubeck, Ratzeburger Allee 160, 23562 Lubeck, Germany. ✉email: emebu@utb.cz
utb.fulltext.dates Received: 26 January 2022 Accepted: 18 May 2022 Published online: 14 June 2022
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utb.fulltext.sponsorship -
utb.wos.affiliation [Emebu, Samuel; Janacova, Dagmar] Tomas Bata Univ, Dept Automat Control & Informat, Jizni Svahy Stranemi 4511, Zlin 76001, Czech Republic; [Emebu, Samuel; Osaikhuiwuomwan, Omokaro; Okieimen, Charity] Univ Benin, Dept Chem Engn, POB 1154, Benin, Nigeria; [Mankonen, Aleksi] Lappeenranta Lahti Univ Technol, Dept Energy, Mukkulankatu 19, Lahti 15210, Finland; [Udoye, Chinweike] Univ Lubeck, Inst Syst Inflammat Res, Ratzeburger Allee 160, D-23562 Lubeck, Germany
utb.scopus.affiliation Department of Automatic Control and Informatics, Tomas Bata University, Jižní Svahy Nad Stráněmi 4511, Zlin, 76001, Czech Republic; Department of Chemical Engineering, University of Benin, PO Box 1154, Benin City, Nigeria; Department of Energy, Lappeenranta-Lahti University of Technology, Mukkulankatu 19, Lahti, 15210, Finland; Institute for Systemic Inflammation Research, University of Lubeck, Ratzeburger Allee 160, Lubeck, 23562, Germany
utb.fulltext.projects -
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou Department of Automatic Control and Informatics
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