Optimizing a Submerged Monascus cultivation for Production of Red Pigment with Bug Damaged Wheat using Artificial Neural Networks

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dc.authorid0000-0002-9161-6286
dc.authorscopusid57205610252
dc.authorscopusid6603211547
dc.authorscopusid7004622881
dc.authorscopusid6602223026
dc.authorwosidGumus, Tuncay/ABA-4238-2020
dc.authorwosidVelioğlu, Serap Duraklı/AAG-4565-2019
dc.contributor.authorDuraklı Velioğlu, Serap
dc.contributor.authorBoyacı, İsmail Hakkı
dc.contributor.authorŞimşek, Osman
dc.contributor.authorGümüş, Tuncay
dc.date.accessioned2022-05-11T14:44:52Z
dc.date.available2022-05-11T14:44:52Z
dc.date.issued2013
dc.departmentFakülteler, Ziraat Fakültesi, Gıda Mühendisliği Bölümü
dc.description.abstractThe combined effect of temperature, agitation speed, and light on red pigment production by Monascits purpureus (M purpureus) Went DSM 1604 using bug damaged wheat was studied using an artificial neural network (ANN). Information retrieved from the ANN was used to determine the optimal operating conditions for pigment production by M purpureus using bug damaged wheat meal. The developed ANN had R-2 values for training, validation, and testing data sets of 0.993, 0.961, and 0.944, respectively. According to the model, the highest pigment production of 1.874 absorbance units at 510 nm (A(510 nm)) would be achieved at 29 degrees C and 150 rpm under light conditions. The mean value of the experimental results obtained under these optimum conditions was 1.787+/-0.072 A(510 nm), corresponding to a pigment yield of 35.740 A(510 nm)/g. The study showed that bug damaged wheat can be used as a substrate for red pigment production by M purpureus.
dc.description.sponsorshipNamik Kemal University Scientific Research Projects FundNamik Kemal University [NKUBAP00.24.DR.09.04]
dc.description.sponsorshipThis work was supported by the Namik Kemal University Scientific Research Projects Fund (Project No. NKUBAP00.24.DR.09.04).
dc.identifier.doi10.1007/s10068-013-0261-z
dc.identifier.endpage1648
dc.identifier.issn1226-7708
dc.identifier.issn2092-6456
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-84890924114
dc.identifier.scopusqualityQ2
dc.identifier.startpage1639
dc.identifier.urihttps://doi.org/10.1007/s10068-013-0261-z
dc.identifier.urihttps://hdl.handle.net/20.500.11776/9807
dc.identifier.volume22
dc.identifier.wosWOS:000329474200021
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorDuraklı Velioğlu, Serap
dc.institutionauthorŞimşek, Osman
dc.institutionauthorGümüş, Tuncay
dc.language.isoen
dc.publisherKorean Society Food Science & Technology-Kosfost
dc.relation.ispartofFood Science and Biotechnology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectMonascus purpureus
dc.subjectpigment
dc.subjectwheat
dc.subjectoptimization
dc.subjectPerformance Liquid-Chromatography
dc.subjectCitrinin Production
dc.subjectMonacolin-K
dc.subjectResponse-Surface
dc.subjectFungus Monascus
dc.subjectPurpureus
dc.subjectGrowth
dc.subjectOptimization
dc.subjectCulture
dc.subjectRuber
dc.titleOptimizing a Submerged Monascus cultivation for Production of Red Pigment with Bug Damaged Wheat using Artificial Neural Networks
dc.typeArticle

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