2020
DOI: 10.1007/s00449-020-02394-6
|View full text |Cite
|
Sign up to set email alerts
|

Dynamic modelling of growth and flavonoid production from Ocimum tenuiflorum suspension culture

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

1
2
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 42 publications
1
2
0
Order By: Relevance
“…Our results are consistent with earlier research that has documented the promotive impact of Phe on both plant growth and secondary metabolite production [51]. The stimulatory influence of Phe on flavonoid biosynthesis, like in Ocimum tenuiflorum and Mentha piperita plants, has been documented by studies conducted by Jacob and Thomas [54] and Roy et al [55]. Among the flavonoid compounds, quersestin was present in the highest quantity, while rutin was found in the lowest amount.…”
Section: Discussionsupporting
confidence: 93%
“…Our results are consistent with earlier research that has documented the promotive impact of Phe on both plant growth and secondary metabolite production [51]. The stimulatory influence of Phe on flavonoid biosynthesis, like in Ocimum tenuiflorum and Mentha piperita plants, has been documented by studies conducted by Jacob and Thomas [54] and Roy et al [55]. Among the flavonoid compounds, quersestin was present in the highest quantity, while rutin was found in the lowest amount.…”
Section: Discussionsupporting
confidence: 93%
“…The model assumes an irreversible progression in which active cells (active DM) are converted into dead cells (dead DM) ( Jacob et al., 2020 ) (Eq. 2).…”
Section: Resultsmentioning
confidence: 99%
“…A mechanistic, kinetic modeling approach is preferred for PCCs, where all metabolic effects are lumped into unstructured kinetic functions for simplification ( Resat et al., 2009 ), especially for model-based DoE where the number of experiments is small and hence only few model parameters can be fitted. In particular, Monod-type models are preferred because they simulate nutrient uptake, biomass formation and protein production while differentiating between viable and dead cells ( Prakash and Srivastava, 2006 ; Prakash and Srivastava, 2008 ; Jiménez-Hornero et al., 2009a ; Jiménez-Hornero et al., 2009b ; Puad et al., 2017 ; Villegas et al., 2017 ; Puad and Abdullah, 2018 ; Jacob et al., 2020 ).…”
Section: Introductionmentioning
confidence: 99%