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Separation and purification of antidiabetic bioactive peptide from salmon and cod waste

dc.contributor.authorJin, Tianyi Jr
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.departmentDepartment of Process Engineering and Applied Scienceen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.external-examinerRoger S. McLeoden_US
dc.contributor.graduate-coordinatorGeorges J. Kipourosen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.thesis-readerAllan A. Paulsonen_US
dc.contributor.thesis-supervisorTom A. Gillen_US
dc.date.accessioned2013-10-28T16:22:19Z
dc.date.available2013-10-28T16:22:19Z
dc.date.defence2012-08-16
dc.date.issued2013-10-28
dc.description.abstractDietary proteins from Atlantic salmon and cod have previously been shown to have antidiabetic effects. Since dietary proteins are digested into small peptides before being absorbed through the intestinal mucosa, it is reasonable to deduce that the antidiabetic effect is due to enzymatically-digested peptides rather than the proteins themselves. The aim of this study was to develop a protocol to recover peptides with antidiabetic effects from salmon and cod protein digests and then scale up and optimize the salmon protein hydrolysate production process for industrial-scale production. The peptide mixtures were screened using cell culture assays for insulin-modulating activities and were further fractionated and purified for the final identification. Total yields of salmon and cod protein hydrolysates (<1 kDa) as measured by Kjeldahl nitrogen were 16.9% and 40.1%, respectively. The production process used for the salmon protein hydrolysate (<1 kDa) showed good reproducibility and potential for the industrial-scale production.en_US
dc.identifier.urihttp://hdl.handle.net/10222/37804
dc.language.isoenen_US
dc.subjectType 2 diabetes, salmon and cod waste, antidiabetic peptidesen_US
dc.titleSeparation and purification of antidiabetic bioactive peptide from salmon and cod wasteen_US

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