Optimisation Study of Taraxacum Officinale Niosomes by Box-Behnken Design


Authors : Gajbhiye Sanghadeep; Aate Jayshree

Volume/Issue : Volume 7 - 2022, Issue 6 - June

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3ukzRRC

DOI : https://doi.org/10.5281/zenodo.6791646

Phytosome process has been applied to many popular herbal extract including Gingko biloba, grape see, hawthorn, milk thistle, green tea and ginseng. The flavonoids and terpenoid components of these herbal extracts lend themselves quite well for the direct binding to Phosphatidylcholine. Phytosomes is produced by binding individual components of herbal extract to phosphatidylcholine, resulting in a dosage form that is better absorbed and thus, produces better result than the conventional herbal extract. According to this research, design of experiments (DoE) is an efficient, elegant, and cost-effective statistical technique that delivers more knowledge with the least number of runs. Soya lecithin (X1), reaction temperature (X2), and reaction time (X3) were all significant parameters impacting phytosome response characteristics, according to standardised response surface plots, with p 0.05. The precision of the data was demonstrated by significant (p 0.05) model F-values and non-significant (p > 0.05) “lack of fit F-values” for response variables. R2 Adj (adjusted R-squared) and R2 Anticipated (expected R-squared) (R2 Pred) values indicated that the regression coefficients were fairly consistent. A lower PRESS value in regression models indicated a better match. The model discrimination was adequate, according to a high precision (AP) value. The normality of the response data was demonstrated using standard probability plots. Externally studentized residuals vs. expected values of the response parameters revealed the absence of constant error. The absence of lurking variables was investigated using a residual vs. run plot.

Keywords : Nisomes, Taraxacum officinale, Box-Behnken Design.

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