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

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

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Bibliographische Detailangaben
Veröffentlicht in:Plant physiology and biochemistry : PPB. - 1991. - 216(2024) vom: 30. Nov., Seite 109142
1. Verfasser: Awere, Collince Omondi (VerfasserIn)
Weitere Verfasser: Sneha, Anbalagan, Rakkammal, Kasinathan, Muthui, Martin Mwaura, Kumari R, Anitha, Govindan, Suresh, Batur Çolak, Andaç, Bayrak, Mustafa, Muthuramalingam, Pandiyan, Anadebe, Valentine Chikaodili, Archana, Pandi, Sekar, Chinnathambi, Ramesh, Manikandan
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:Plant physiology and biochemistry : PPB
Schlagworte:Journal Article Artificial intelligence Carbon dot Elicitation Hairy roots Modelling Secondary metabolite Carbon 7440-44-0 Triterpenes
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