Modeling of in Vitro Biomass Production of Digitalis purpurea Under the Effects of Biosynthetic Silver Nanoparticles

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dc.authorscopusid22835706400
dc.authorscopusid57222407094
dc.authorscopusid57222399598
dc.contributor.authorNartop, Pınar
dc.contributor.authorAltan, Aylin Duman
dc.contributor.authorTitrek, Ahmet
dc.date.accessioned2022-05-11T14:10:33Z
dc.date.available2022-05-11T14:10:33Z
dc.date.issued2021
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Biyomedikal Mühendisliği Bölümü
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü
dc.description.abstractNanoparticles are being used in many areas in biotechnology. Silver nanoparticles are the most frequently used ones among the others, because of their eco-friendly natures. Biosynthetic silver nanoparticles have some beneficial effects on plant tissue cultures. However, their effects have rarely been investigated. In this study, biosynthetic nanoparticles were used at 0, 1, 2 and 4 mg/L concentration in order to determine their effects on Digitalis purpurea node cultures. At the first stage of experimental data analyses, MANOVA was employed to understand the significant growth parameters of D. purpurea plantlets. At the second stage, an artifical neural network (ANN) model was designed and tested under a wide range of input parameters (concentration of silver nanoparticles). The statistical differences between shoot elongations, single and multiple shoot formations, root formations, root fresh and dry weights were not found significant. However, the difference between shoot and total fresh weights, shoot and total dry weights (the significant variables) were found statistically significant. Optimum silver nanoparticle concentration for plantlet growth was detected as 2 mg/L. Biomass accumulations were enhanced up to 2,4 times. The results showed that ANN model provided a good prediction for the plant growth parameters and can be adapted for in vitro large-scale production.
dc.identifier.doi10.1007/s40995-021-01105-4
dc.identifier.endpage783
dc.identifier.issn1028-6276
dc.identifier.issn2364-1819
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85102628603
dc.identifier.scopusqualityQ2
dc.identifier.startpage775
dc.identifier.urihttps://doi.org/10.1007/s40995-021-01105-4
dc.identifier.urihttps://hdl.handle.net/20.500.11776/5435
dc.identifier.volume45
dc.identifier.wosWOS:000628751400002
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorNartop, Pınar
dc.institutionauthorAltan, Aylin Duman
dc.institutionauthorTitrek, Ahmet
dc.language.isoen
dc.publisherSpringer International Publishing Ag
dc.relation.ispartofIranian Journal of Science and Technology Transaction A-Science
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectDigitalis purpurea
dc.subjectin vitro biomass production
dc.subjectBiosynthetic silver nanoparticles
dc.subjectSyzygium aromaticum
dc.subjectArtifical neural network
dc.subjectMANOVA
dc.titleModeling of in Vitro Biomass Production of Digitalis purpurea Under the Effects of Biosynthetic Silver Nanoparticles
dc.typeArticle

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