2011
DOI: 10.1208/s12249-011-9741-8
|View full text |Cite
|
Sign up to set email alerts
|

Optimization of Protocell of Silica Nanoparticles Using 32 Factorial Designs

Abstract: Abstract. The purpose of the research is to carry out systemic optimization of protocells (liposomes entrapped with silica particles). Optimization was carried out using 3 2 factorial designs for the selection of the optimized protocell composition with reference to particle size distribution and zetapotential. This design was carried out to study the effect of independent variables such as molar ratio of phosphatidylcholine to cholesterol and concentration of silica nanoparticles. A total of nine formulations… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
3
0

Year Published

2013
2013
2023
2023

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 10 publications
(4 citation statements)
references
References 10 publications
0
3
0
Order By: Relevance
“…The low value of C.V. indicated a high reliability of the experiment 27, 28 . Adequate precision measured the signal to noise ratio, where ratio greater than 4 (R1, 34.868 and R2, 27.307) is desirable 29 .…”
Section: Resultsmentioning
confidence: 99%
“…The low value of C.V. indicated a high reliability of the experiment 27, 28 . Adequate precision measured the signal to noise ratio, where ratio greater than 4 (R1, 34.868 and R2, 27.307) is desirable 29 .…”
Section: Resultsmentioning
confidence: 99%
“…RSM examines the simultaneous interactive effect of input factors to achieve an optimum response, which is not achievable using conventional experimental methods (Kamani et al 2018). The RSM design models include the linear, mean, 2-factor interaction, 2FI, quadratic, cubic, quartic, fifth, and sixth equations (Croarkin et al 2006;Kaur et al 2012). RSM was used to evaluate the effect of the input factors: the changing electrode length (l e ), soil depth (d s ), and anode to cathode distance (d A↔E ) on the responses: the PI and SP values of the EK treated soils.…”
Section: Response Surface Methodology Rsmmentioning
confidence: 99%
“…Some significant benefits follow below. [39][40][41][42] 1. Enhanced Product Quality and Consistency: QbD encourages a thorough understanding of the relationships between CPPs and CQAs.…”
Section: Benefits Of Implementing Qbd In Sublingual Tablet Developmentmentioning
confidence: 99%