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

MakaleAçık ErişimScopus SJRQ3

Özet

Glucansucrases (GTFs) catalyzes the synthesis of α-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.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/bayburt/11983Resmi atıflarda kullanılan kalıcı adres
İndeks kayıtları
Kaydın indeks veri tabanlarındaki sayfası (aktarımda alınan kayıt numarasıyla). Erişim, indeksin kendi koşullarına bağlıdır.
Atıflar
Scopus
6
WoS
6
OpenAlex
6
Her kaynağın kendi saydığı toplam atıf; aktarım ve zenginleştirme sırasında alındı.
Tam Kayıt
AlanDeğerDil
dc.contributor.authorŞensoy, Abdullah Tahir
dc.contributor.authorİspirli, Hümeyra
dc.contributor.authorDertli, Enes
dc.date.accessioned2026-10-29T19:09:02.736898527Z
dc.date.available2026-10-29T19:09:02.736898527Z
dc.date.issued2020
dc.description.abstractGlucansucrases (GTFs) catalyzes the synthesis of α-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.
dc.identifier.doi10.1080/10826068.2020.1753070
dc.identifier.eissn1532-2297
dc.identifier.endpage826
dc.identifier.issn1082-6068
dc.identifier.issue8
dc.identifier.pmid32282271
dc.identifier.scopus2-s2.0-85083552773
dc.identifier.startpage820
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/bayburt/11983
dc.identifier.volume50
dc.identifier.wosWOS:000526346400001
dc.language.isoen
dc.publisherTaylor and Francis Inc.
dc.relation.ispartofPreparative Biochemistry and Biotechnology
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectCentral composite design
dc.subjectoligosaccharide production efficiency
dc.subjectparticle swarm optimization
dc.subjectresponse surface method
dc.subject.classificationBiochemical Research Methods
dc.subject.classificationBiochemistry & Molecular Biology
dc.subject.classificationBiotechnology & Applied Microbiology
dc.subject.otherBiocatalysis
dc.subject.otherEscherichia coli
dc.subject.otherGlycosyltransferases
dc.subject.otherIndustrial Microbiology
dc.subject.otherLactobacillus reuteri
dc.subject.otherMaltose
dc.subject.otherModels, Biological
dc.subject.otherOligosaccharides
dc.subject.otherSucrose
dc.subject.otheralternansucrase
dc.subject.otherglycosyltransferase
dc.subject.otheroligosaccharide
dc.subject.otherbiological model
dc.subject.otherenzymology
dc.subject.othergenetics
dc.subject.othermetabolism
dc.subject.othermicrobiology
dc.titleDetermining the optimum model parameters for oligosaccharide production efficiency using response surface integrated particle swarm optimization method: an experimental validation study
dc.typeArticle
rdl.citation.openalex6
rdl.citation.scopus6
rdl.citation.wos6
rdl.departmentDepartment of Biomedical Engineering, Engineering Faculty, Samsun University, Samsun, Turkey
rdl.departmentCentral Research Laboratory, Bayburt University, Bayburt, Turkey
rdl.departmentDepartment of Food Engineering İstanbul, Chemical-Metallurgical Engineering Faculty, Yıldız Technical University, Istanbul, Turkey
rdl.oa.statusclosed
rdl.oa.statusgreen
rdl.oa.urlhttp://hdl.handle.net/20.500.12403/3170
rdl.scopus.quartileQ3
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.source.indexPUBMED
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)