Determining the optimum model parameters for oligosaccharide production efficiency using response surface integrated particle swarm optimization method: an experimental validation study

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dc.authoridSENSOY, Abdullah/0000-0002-9371-8307
dc.authoridISPIRLI, HUMEYRA/0000-0002-7601-0374
dc.contributor.authorSensoy, Abdullah Tahir
dc.contributor.authorIspirli, Humeyra
dc.contributor.authorDertli, Enes
dc.date.accessioned2024-10-04T18:49:28Z
dc.date.available2024-10-04T18:49:28Z
dc.date.issued2020
dc.departmentBayburt Üniversitesien_US
dc.description.abstractGlucansucrases (GTFs) catalyzes the synthesis of alpha-glucans from sucrose and oligosaccharides in the presence of an acceptor sugar by transferring glucosyl units to the acceptor molecule with different linkages. The acceptor reactions can be affected by several parameters and this study aimed to determine the optimal reaction parameters for the production of glucansucrase-based oligosaccharides using sucrose and maltose as the donor and acceptor sugars, respectively via a hybrid technique of Response Surface Method (RSM) and Particle Swarm Optimization (PSO). The experimental design was performed using Central Composite Design and the tested parameters were enzyme concentration, acceptor:donor ratio and the reaction period. The optimization studies showed that enzyme concentration was the most effective parameter for the final oligosaccharides yields. The optimal values of the significant parameters determined for enzyme concentration and acceptor:donor ratio were 3.45 U and 0.62, respectively. Even the response surface plots for input parameters verified the PSO results, an experimental validation study was performed for the reverification. The experimental verification results obtained were also consistent with the PSO results. These findings will help our understanding in the role of different parameters for the production of oligosaccharides in the acceptor reactions of GTFs.en_US
dc.identifier.doi10.1080/10826068.2020.1753070
dc.identifier.endpage826en_US
dc.identifier.issn1082-6068
dc.identifier.issn1532-2297
dc.identifier.issue8en_US
dc.identifier.pmid32282271en_US
dc.identifier.scopus2-s2.0-85083552773en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage820en_US
dc.identifier.urihttps://doi.org/10.1080/10826068.2020.1753070
dc.identifier.urihttp://hdl.handle.net/20.500.12403/3170
dc.identifier.volume50en_US
dc.identifier.wosWOS:000526346400001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofPreparative Biochemistry & Biotechnologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCentral composite designen_US
dc.subjectoligosaccharide production efficiencyen_US
dc.subjectparticle swarm optimizationen_US
dc.subjectresponse surface methoden_US
dc.titleDetermining the optimum model parameters for oligosaccharide production efficiency using response surface integrated particle swarm optimization method: an experimental validation studyen_US
dc.typeArticleen_US

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