Carbon dot unravels accumulation of triterpenoid in Evolvulus alsinoides hairy roots culture by stimulating growth, redox reactions and ANN machine learning model prediction of metabolic stress response

Basit Öğe Kaydı
dc.authoridMuthuramalingam, Pandiyan/0000-0001-7294-1625
dc.authoridGovindan, Suresh/0000-0003-4901-5863
dc.authoridColak, Andac Batur/0000-0001-9297-8134
dc.contributor.authorAwere, Collince Omondi
dc.contributor.authorSneha, Anbalagan
dc.contributor.authorRakkammal, Kasinathan
dc.contributor.authorMuthui, Martin Mwaura
dc.contributor.authorKumari, Anitha R.
dc.contributor.authorGovindan, Suresh
dc.contributor.authorColak, Andac Batur
dc.date.accessioned2024-11-07T13:35:17Z
dc.date.available2024-11-07T13:35:17Z
dc.date.issued2024
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractEvolvulus alsinoides, a therapeutically valuable shrub can provide consistent supply of secondary metabolites (SM) with pharmaceutical significance. Nonetheless, because of its short life cycle, fresh plant material for research and medicinal diagnostics is severely scarce throughout the year. The effects of exogenous carbon quantum dot (CD) application on metabolic profiles, machine learning (ML) prediction of metabolic stress response, and SM yields in hairy root cultures of E. alsinoides were investigated and quantified. The range of the particle size distribution of the CDs was between 3 and 7 nm. The CDs EPR signal and spin trapping experiments demonstrated the formation of O2(-center dot)spin-adducts at (g = 2.0023). Carbon dot treatment increased the levels of hydrogen peroxide and malondialdehyde concentrations as well as increased antioxidant enzyme activity. CD treatments (6 mu g mL-1) significantly enhanced the accumulation of squalene and stigmasterol (7 and 5-fold respectively). The multilayer perceptron (MLP) algorithm demonstrated remarkable prediction accuracy (MSE value = 1.99E-03 and R2 = 0.99939) in both the training and testing sets for modelling. Based on the prediction, the maximum oxidative stress index and enzymatic activities were highest in the medium supplemented with 10 mu g mL-1 CDs. The outcome of this study indicated that, for the first time, using CD could serve as a novel elicitor for the production of valuable SM. MLP may also be used as a forward-thinking tool to optimize and predict SM with high pharmaceutical significance. This study would be a touchstone for understanding the use of ML and luminescent nanomaterials in the production and commercialization of important SM.
dc.description.sponsorshipIndian Council of Cultural Relation (ICCR) [NAI/EDU/327/1/2021 (70)]; RUSA 2.0 [Dept of Edn, GOI] [F.24-51/2014-U]; DST-FIST [SR/FST/LSI-639/2015(C)]; UGCSAP [F.5-1/2018/DRSII(SAP-II)]; DST-PURSE [SR/PURSE Phase 2/38 (G)]; AE-FUNAI, Nigeria
dc.description.sponsorshipThe author C. O. Awere is grateful to Indian Council of Cultural Relation (ICCR) NAI/EDU/327/1/2021 (70) and RUSA 2.0 [F.24-51/2014-U, Policy (TN Multi-Gen) , 449 Dept of Edn, GOI] . The authors also acknowledge DST-FIST (Grant no. SR/FST/LSI-639/2015(C) , UGCSAP (Grant no. F.5-1/2018/DRSII(SAP-II)) and DST-PURSE (Grant no. SR/PURSE Phase 2/38 (G)) for providing lab facilities. Also, VCA acknowledge the support of AE-FUNAI, Nigeria.
dc.identifier.doi10.1016/j.plaphy.2024.109142
dc.identifier.issn0981-9428
dc.identifier.issn1873-2690
dc.identifier.pmid39357200
dc.identifier.scopus2-s2.0-85205313783
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.plaphy.2024.109142
dc.identifier.urihttps://hdl.handle.net/11480/16429
dc.identifier.volume216
dc.identifier.wosWOS:001329654700001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherElsevier France-Editions Scientifiques Medicales Elsevier
dc.relation.ispartofPlant Physiology and Biochemistry
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectCarbon dot
dc.subjectElicitation
dc.subjectArtificial intelligence
dc.subjectModelling
dc.subjectHairy roots
dc.subjectSecondary metabolite
dc.titleCarbon dot unravels accumulation of triterpenoid in Evolvulus alsinoides hairy roots culture by stimulating growth, redox reactions and ANN machine learning model prediction of metabolic stress response
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
PubMed İndeksli Yayın Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu