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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 design (BB...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6161182/ https://www.ncbi.nlm.nih.gov/pubmed/29997330 http://dx.doi.org/10.3390/pharmaceutics10030088 |
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author | Yang, Jie Zhu, Yishen Diao, Yongqin Yin, Caiyun |
author_facet | Yang, Jie Zhu, Yishen Diao, Yongqin Yin, Caiyun |
author_sort | Yang, Jie |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-6161182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61611822018-10-01 Rheological and Mechanical Analyses of Felbinac Cataplasms by Using Box–Behnken Design Yang, Jie Zhu, Yishen Diao, Yongqin Yin, Caiyun Pharmaceutics Article 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. MDPI 2018-07-11 /pmc/articles/PMC6161182/ /pubmed/29997330 http://dx.doi.org/10.3390/pharmaceutics10030088 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yang, Jie Zhu, Yishen Diao, Yongqin Yin, Caiyun Rheological and Mechanical Analyses of Felbinac Cataplasms by Using Box–Behnken Design |
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 | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6161182/ https://www.ncbi.nlm.nih.gov/pubmed/29997330 http://dx.doi.org/10.3390/pharmaceutics10030088 |
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