2001
DOI: 10.1016/s0168-3659(01)00356-x
|View full text |Cite
|
Sign up to set email alerts
|

Application of multiple response optimization technique to extended release formulations design

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
34
0
1

Year Published

2003
2003
2022
2022

Publication Types

Select...
10

Relationship

0
10

Authors

Journals

citations
Cited by 107 publications
(35 citation statements)
references
References 15 publications
0
34
0
1
Order By: Relevance
“…The α value is defined as the distance of the axial runs from the center of the design and equals the fourth root of the number of factorial runs ((2 2 ) 1/4 = 1.414). 37 The amounts of LTG and deionized water (pH 7.4) were selected as the factors, and studied at five levels each. The central point (0, 0) was studied five times.…”
Section: Optimization Of P123/ltg Micelles Through Ccd/response Surfamentioning
confidence: 99%
“…The α value is defined as the distance of the axial runs from the center of the design and equals the fourth root of the number of factorial runs ((2 2 ) 1/4 = 1.414). 37 The amounts of LTG and deionized water (pH 7.4) were selected as the factors, and studied at five levels each. The central point (0, 0) was studied five times.…”
Section: Optimization Of P123/ltg Micelles Through Ccd/response Surfamentioning
confidence: 99%
“…The model independent approaches ANOVA-based methods [3,13] and similarity criteria for heterocedasticy, absent in previous approaches. based on various indexes for pairwise comparison Also introduced was an additional parameter to procedures [14][15][16][17][18][19]. It should also be pointed out describe the asymptotic value of the dissolution that some of the methods rely on the individual profile.…”
Section: Introductionmentioning
confidence: 99%
“…Planning pharmaceutical formulation with the least of trial is very challenging for pharmaceutical researchers [20]. In conventional optimization method, a single factor is varied meanwhile the other factors are fixed at a particular set of settings.…”
Section: Formulation Optimization By Central Composite Designmentioning
confidence: 99%