2018
DOI: 10.21859/ijb.1339
|View full text |Cite
|
Sign up to set email alerts
|

The Desirability Optimization Methodology; a Tool to Predict Two Antagonist Responses in Biotechnological Systems: Case of Biomass Growth and Hyoscyamine Content in Elicited Datura starmonium Hairy Roots

Abstract: BackgroundThe use of the desirability function approach combined with the response surface methodology (RSM), also called Desirability Optimization Methodology (DOM), has been successfully applied to solve medical, chemical, and technological questions. It is particularly efficient for the determination of the optimal conditions in natural or industrial processes involving different factors leading to the antagonist responses.ObjectivesSurprisingly, DOM has never been applied to the research programs devoted t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
43
0
1

Year Published

2020
2020
2024
2024

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 90 publications
(53 citation statements)
references
References 39 publications
1
43
0
1
Order By: Relevance
“…A triplicate experiment was set up to validate the optimized condition. The composite desirability (0.993) is close to 1, which indicates the settings seem to achieve favourable results for all responses as a whole 50 . Based on predictive model, the optimum particle size is 44 µm to obtain favourable results of phytochemical composition and antioxidant activity.…”
Section: Resultsmentioning
confidence: 78%
“…A triplicate experiment was set up to validate the optimized condition. The composite desirability (0.993) is close to 1, which indicates the settings seem to achieve favourable results for all responses as a whole 50 . Based on predictive model, the optimum particle size is 44 µm to obtain favourable results of phytochemical composition and antioxidant activity.…”
Section: Resultsmentioning
confidence: 78%
“…Desirability calculation resulted in a value with a scale between 0-1. Desirability value of 0 represents a completely undesirable response while 1 represents the most desirable response [44]. Overall desirability in this study was 0.444 indicated several errors in the prediction model.…”
Section: Multiple Response Optimizationmentioning
confidence: 65%
“…This combination has resulted in a new method called "Desirability Optimization Methodology or DOM" (Derringer, 1994). Desirability index is used for factor optimization in multiresponse system that is based on the transformation of all the obtained responses from different scales into a scale-free value (Amdoun et al, 2018). The values of desirability functions lie between 0 and 1.…”
Section: Formulation Codementioning
confidence: 99%