2019
DOI: 10.1007/s40199-019-00304-0
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Application of computational tools for the designing of Oleuropein loaded nanostructured lipid carrier for brain targeting through nasal route

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Cited by 15 publications
(14 citation statements)
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“…The model F values of responses, 5.04 and 2.68 indicates models are significant. 10,11 P values of both responses were found to be within 0.05 ranges which also imply models are significant. 12,13 Based on the experimental design, the factor combination resulted in different particle size.…”
Section: Pharmaceutical Evaluation Of Micro Emulsionmentioning
confidence: 69%
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“…The model F values of responses, 5.04 and 2.68 indicates models are significant. 10,11 P values of both responses were found to be within 0.05 ranges which also imply models are significant. 12,13 Based on the experimental design, the factor combination resulted in different particle size.…”
Section: Pharmaceutical Evaluation Of Micro Emulsionmentioning
confidence: 69%
“…Optimization of micro emulsion formulation was explored by applying response surface methodology and experimental design BBD (Box Behnken Design) using 3 level factorial designs. [10][11][12] Polynomial model was constructed for optimization of Aripiprazole keeping four independent and two dependent variables [ Table 2 which will surely helpful in stable micro emulsion development. [10][11][12][13][14] Pharmaceutical evaluation of Micro emulsion Optical clarity (Percentage transmittance): Percentage transmittance of each formulation was measured at 650 nm using UV-spectrophotometer against distilled water as blank.…”
Section: Optimization Of Micro Emulsion Formulationmentioning
confidence: 99%
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“…The optimization was done on the basis of attaining lower particle size, PDI, and higher % EE using overlay plot (graphical) and desirability (numerical) criteria. In order to establish the reliability of the developed model, the check-point analysis was performed by taking two validation batches viz., V1, and V2, whereby the magnitude of error between observed and predicted values was evaluated 17 .…”
Section: Data Optimization and Model Validationmentioning
confidence: 99%