2012
DOI: 10.1016/j.ijpharm.2012.03.021
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Application of face centred central composite design to optimise compression force and tablet diameter for the formulation of mechanically strong and fast disintegrating orodispersible tablets

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Cited by 82 publications
(55 citation statements)
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References 24 publications
(20 reference statements)
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“…X 1 X 2 ) shows the changes in response when two factors are simultaneously changed (Pathan et al, 2013), while factors at higher order (X n 2 ) represents the quadratic relationships (i.e. non-linearity) (Pabari and Ramtoola, 2012;Zhang et al, 2013).…”
Section: General Multilevel Factorial Design-statistical Analysis Andmentioning
confidence: 99%
See 1 more Smart Citation
“…X 1 X 2 ) shows the changes in response when two factors are simultaneously changed (Pathan et al, 2013), while factors at higher order (X n 2 ) represents the quadratic relationships (i.e. non-linearity) (Pabari and Ramtoola, 2012;Zhang et al, 2013).…”
Section: General Multilevel Factorial Design-statistical Analysis Andmentioning
confidence: 99%
“…Great efforts have been used to enhance properties of FDTs and adapt the conventional tableting formulation or the process used (Pabari and Ramtoola, 2012) in order to compromise between the two parameters mechanical strength and disintegration time. Kuno et al (2005) evaluated rapidly disintegrating tablets manufactured by phase transition of sugar alcohols.…”
Section: Introductionmentioning
confidence: 99%
“…A statistical optimization tool based on response surface methodology and experimental formulations, such as central composite, Box-Behnken, factorial, and mixture designs, 16,[30][31][32][33][34][35][36] has been used widely, because it can evaluate the main effects and interaction of all variables simultaneously. Hence, response surface methodology with a constrained mixture design was used to develop an optimal citalopram-loaded microemulsion for topical application, and the effect of composition of the microemulsion on the ability of citalopram to permeate rat skin was investigated.…”
Section: Introductionmentioning
confidence: 99%
“…This design allowed the response surface to be modelled by performing the number of experiments equal to 2k+2k+1, where k is the number of variables (k=3), which makes a total of 13 experiments to be executed as per CCD design. 18 Three-dimensional response surface plots are given in Fig. 1 and are highly imperative in order to study the effects of the factors and their interaction on the selected responses.…”
Section: Resultsmentioning
confidence: 99%