Rheological and Mechanical Analyses of Felbinac Cataplasms by Using Box–Behnken Design

Felbinac, an active pharmaceutical ingredient (API) used clinically for the treatment of osteoarthritis, has poor solubility. Felbinac cataplasm product design was investigated using rheological and mechanical analyses. Experiments using a response surface methodology based on Box–Behnken...

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Main Authors: Jie Yang, Yishen Zhu, Yongqin Diao, Caiyun Yin
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Pharmaceutics
Subjects:
Online Access:http://www.mdpi.com/1999-4923/10/3/88
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author Jie Yang
Yishen Zhu
Yongqin Diao
Caiyun Yin
author_facet Jie Yang
Yishen Zhu
Yongqin Diao
Caiyun Yin
author_sort Jie Yang
collection DOAJ
description Felbinac, an active pharmaceutical ingredient (API) used clinically for the treatment of osteoarthritis, has poor solubility. Felbinac cataplasm product design was investigated using rheological and mechanical analyses. Experiments using a response surface methodology based on Box–Behnken design (BBD) incorporated three independent variables: the proportions of partially neutralized polyacrylate (NP800), dihydroxyaluminum aminoacetate (DAAA), and felbinac. Statistically significant quadratic models obtained using BBD demonstrated optimal NP-800, DAAA, and felbinac cataplasm proportions of 4.78–5.75%, 0.30–0.59%, and 0.70–0.90%, respectively. Felbinac cataplasms exhibited “gel-like” mechanical property with predominantly elastic behavior. Rheological studies correlated increasing NP-800 and DAAA concentrations with increased complex modulus (G*) values that were inversely related to peeling strength. Frequency sweep and creep tests revealed decreasing tan θ values with increasing NP-800 and DAAA concentrations. G’ and G” values were higher for higher NP-800 and DAAA levels, although G” values decreased with increasing DAAA concentration. Response surface methodology was applied to develop mathematical models. Variance analysis showed that the quadratic model effectively predicted felbinac and matrix material interactions, with two verification samples upholding model predictions. Relative errors between predicted and measured G* values were 3.28% and 1.10% and for peeling strength were 1.24% and 5.59%, respectively. In conclusion, rheological and mechanical analyses of felbinac cataplasms using BBD permits optimization of cataplasms as topical drug delivery vehicles.
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spelling doaj.art-6ecdba35058545a0a25d46003dcb81782022-12-22T04:19:42ZengMDPI AGPharmaceutics1999-49232018-07-011038810.3390/pharmaceutics10030088pharmaceutics10030088Rheological and Mechanical Analyses of Felbinac Cataplasms by Using Box–Behnken DesignJie Yang0Yishen Zhu1Yongqin Diao2Caiyun Yin3College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing 211816, ChinaCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing 211816, ChinaCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing 211816, ChinaCollege of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing 211816, ChinaFelbinac, an active pharmaceutical ingredient (API) used clinically for the treatment of osteoarthritis, has poor solubility. Felbinac cataplasm product design was investigated using rheological and mechanical analyses. Experiments using a response surface methodology based on Box–Behnken design (BBD) incorporated three independent variables: the proportions of partially neutralized polyacrylate (NP800), dihydroxyaluminum aminoacetate (DAAA), and felbinac. Statistically significant quadratic models obtained using BBD demonstrated optimal NP-800, DAAA, and felbinac cataplasm proportions of 4.78–5.75%, 0.30–0.59%, and 0.70–0.90%, respectively. Felbinac cataplasms exhibited “gel-like” mechanical property with predominantly elastic behavior. Rheological studies correlated increasing NP-800 and DAAA concentrations with increased complex modulus (G*) values that were inversely related to peeling strength. Frequency sweep and creep tests revealed decreasing tan θ values with increasing NP-800 and DAAA concentrations. G’ and G” values were higher for higher NP-800 and DAAA levels, although G” values decreased with increasing DAAA concentration. Response surface methodology was applied to develop mathematical models. Variance analysis showed that the quadratic model effectively predicted felbinac and matrix material interactions, with two verification samples upholding model predictions. Relative errors between predicted and measured G* values were 3.28% and 1.10% and for peeling strength were 1.24% and 5.59%, respectively. In conclusion, rheological and mechanical analyses of felbinac cataplasms using BBD permits optimization of cataplasms as topical drug delivery vehicles.http://www.mdpi.com/1999-4923/10/3/88cataplasmfelbinacBox–Behnken designrheologyviscoelasticity
spellingShingle Jie Yang
Yishen Zhu
Yongqin Diao
Caiyun Yin
Rheological and Mechanical Analyses of Felbinac Cataplasms by Using Box–Behnken Design
Pharmaceutics
cataplasm
felbinac
Box–Behnken design
rheology
viscoelasticity
title Rheological and Mechanical Analyses of Felbinac Cataplasms by Using Box–Behnken Design
title_full Rheological and Mechanical Analyses of Felbinac Cataplasms by Using Box–Behnken Design
title_fullStr Rheological and Mechanical Analyses of Felbinac Cataplasms by Using Box–Behnken Design
title_full_unstemmed Rheological and Mechanical Analyses of Felbinac Cataplasms by Using Box–Behnken Design
title_short Rheological and Mechanical Analyses of Felbinac Cataplasms by Using Box–Behnken Design
title_sort rheological and mechanical analyses of felbinac cataplasms by using box behnken design
topic cataplasm
felbinac
Box–Behnken design
rheology
viscoelasticity
url http://www.mdpi.com/1999-4923/10/3/88
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