Optimization of Processing Parameters of Nanoemulsion Containing Aripiprazole Using Response Surface Methodology

Wan Sarah Samiun,1 Siti Efliza Ashari,1,2 Norazlinaliza Salim,1,2 Syahida Ahmad3 1Integrated Chemical Biophysics Research, Faculty of Science, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia; 2Centre of Foundation Studies for Agricultural Sciences, Universiti Putra Malaysia, Serdang 434...

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Autores principales:	Samiun WS, Ashari SE, Salim N, Ahmad S
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2020
Materias:	aripiprazole antipsychotic drug (apd) schizophrenia nanoemulsion response surface methodology (rsm) palm kernel oil esters (pkoes) Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/db6d1336169048cab3b51a259cace6f1
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spelling	oai:doaj.org-article:db6d1336169048cab3b51a259cace6f12021-12-02T05:21:47ZOptimization of Processing Parameters of Nanoemulsion Containing Aripiprazole Using Response Surface Methodology1178-2013https://doaj.org/article/db6d1336169048cab3b51a259cace6f12020-03-01T00:00:00Zhttps://www.dovepress.com/optimization-of-processing-parameters-of-nanoemulsion-containing-aripi-peer-reviewed-article-IJNhttps://doaj.org/toc/1178-2013Wan Sarah Samiun,1 Siti Efliza Ashari,1,2 Norazlinaliza Salim,1,2 Syahida Ahmad3 1Integrated Chemical Biophysics Research, Faculty of Science, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia; 2Centre of Foundation Studies for Agricultural Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia; 3Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, MalaysiaCorrespondence: Wan Sarah Samiun; Siti Efliza AshariIntegrated Chemical Biophysics Research, Faculty of Science, Universiti Putra Malaysia, Serdang 43400, Selangor, MalaysiaTel +603-8946 6997Email ctefliza@upm.edu.my; wansarahsamiun@yahoo.comBackground: Aripiprazole, which is a quinolinone derivative, has been widely used to treat schizophrenia, major depressive disorder, and bipolar disorder.Purpose: A Central Composite Rotatable Design (CCRD) of Response Surface Methodology (RSM) was used purposely to optimize process parameters conditions for formulating nanoemulsion containing aripiprazole using high emulsification methods.Methods: This design is used to investigate the influences of four independent variables (overhead stirring time (A), shear rate (B), shear time (C), and the cycle of high-pressure homogenizer (D)) on the response variable namely, a droplet size (Y) of nanoemulsion containing aripiprazole.Results: The optimum conditions suggested by the predicted model were: 120 min of overhead stirring time, 15 min of high shear homogenizer time, 4400 rpm of high shear homogenizer rate and 11 cycles of high-pressure homogenizer, giving a desirable droplet size of nanoemulsion containing aripiprazole of 64.52 nm for experimental value and 62.59 nm for predicted value. The analysis of variance (ANOVA) showed the quadratic polynomial fitted the experimental values with F-value (9.53), a low p-value (0.0003) and a non-significant lack of-fit. It proved that the models were adequate to predict the relevance response. The optimized formulation with a viscosity value of 3.72 mPa.s and pH value of 7.4 showed good osmolality value (297 mOsm/kg) and remained stable for three months in three different temperatures (4°C, 25°C, and 45°C).Conclusion: This proven that response surface methodology is an efficient tool to produce desirable droplet size of nanoemulsion containing aripiprazole for parenteral delivery application.Keywords: aripiprazole, antipsychotic drug, APD, schizophrenia, nanoemulsion, response surface methodology, RSM, palm kernel oil esters, PKOESSamiun WSAshari SESalim NAhmad SDove Medical Pressarticlearipiprazoleantipsychotic drug (apd)schizophreniananoemulsionresponse surface methodology (rsm)palm kernel oil esters (pkoes)Medicine (General)R5-920ENInternational Journal of Nanomedicine, Vol Volume 15, Pp 1585-1594 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	aripiprazole antipsychotic drug (apd) schizophrenia nanoemulsion response surface methodology (rsm) palm kernel oil esters (pkoes) Medicine (General) R5-920
spellingShingle	aripiprazole antipsychotic drug (apd) schizophrenia nanoemulsion response surface methodology (rsm) palm kernel oil esters (pkoes) Medicine (General) R5-920 Samiun WS Ashari SE Salim N Ahmad S Optimization of Processing Parameters of Nanoemulsion Containing Aripiprazole Using Response Surface Methodology
description	Wan Sarah Samiun,1 Siti Efliza Ashari,1,2 Norazlinaliza Salim,1,2 Syahida Ahmad3 1Integrated Chemical Biophysics Research, Faculty of Science, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia; 2Centre of Foundation Studies for Agricultural Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia; 3Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, Serdang 43400, Selangor, MalaysiaCorrespondence: Wan Sarah Samiun; Siti Efliza AshariIntegrated Chemical Biophysics Research, Faculty of Science, Universiti Putra Malaysia, Serdang 43400, Selangor, MalaysiaTel +603-8946 6997Email ctefliza@upm.edu.my; wansarahsamiun@yahoo.comBackground: Aripiprazole, which is a quinolinone derivative, has been widely used to treat schizophrenia, major depressive disorder, and bipolar disorder.Purpose: A Central Composite Rotatable Design (CCRD) of Response Surface Methodology (RSM) was used purposely to optimize process parameters conditions for formulating nanoemulsion containing aripiprazole using high emulsification methods.Methods: This design is used to investigate the influences of four independent variables (overhead stirring time (A), shear rate (B), shear time (C), and the cycle of high-pressure homogenizer (D)) on the response variable namely, a droplet size (Y) of nanoemulsion containing aripiprazole.Results: The optimum conditions suggested by the predicted model were: 120 min of overhead stirring time, 15 min of high shear homogenizer time, 4400 rpm of high shear homogenizer rate and 11 cycles of high-pressure homogenizer, giving a desirable droplet size of nanoemulsion containing aripiprazole of 64.52 nm for experimental value and 62.59 nm for predicted value. The analysis of variance (ANOVA) showed the quadratic polynomial fitted the experimental values with F-value (9.53), a low p-value (0.0003) and a non-significant lack of-fit. It proved that the models were adequate to predict the relevance response. The optimized formulation with a viscosity value of 3.72 mPa.s and pH value of 7.4 showed good osmolality value (297 mOsm/kg) and remained stable for three months in three different temperatures (4°C, 25°C, and 45°C).Conclusion: This proven that response surface methodology is an efficient tool to produce desirable droplet size of nanoemulsion containing aripiprazole for parenteral delivery application.Keywords: aripiprazole, antipsychotic drug, APD, schizophrenia, nanoemulsion, response surface methodology, RSM, palm kernel oil esters, PKOES
format	article
author	Samiun WS Ashari SE Salim N Ahmad S
author_facet	Samiun WS Ashari SE Salim N Ahmad S
author_sort	Samiun WS
title	Optimization of Processing Parameters of Nanoemulsion Containing Aripiprazole Using Response Surface Methodology
title_short	Optimization of Processing Parameters of Nanoemulsion Containing Aripiprazole Using Response Surface Methodology
title_full	Optimization of Processing Parameters of Nanoemulsion Containing Aripiprazole Using Response Surface Methodology
title_fullStr	Optimization of Processing Parameters of Nanoemulsion Containing Aripiprazole Using Response Surface Methodology
title_full_unstemmed	Optimization of Processing Parameters of Nanoemulsion Containing Aripiprazole Using Response Surface Methodology
title_sort	optimization of processing parameters of nanoemulsion containing aripiprazole using response surface methodology
publisher	Dove Medical Press
publishDate	2020
url	https://doaj.org/article/db6d1336169048cab3b51a259cace6f1
work_keys_str_mv	AT samiunws optimizationofprocessingparametersofnanoemulsioncontainingaripiprazoleusingresponsesurfacemethodology AT asharise optimizationofprocessingparametersofnanoemulsioncontainingaripiprazoleusingresponsesurfacemethodology AT salimn optimizationofprocessingparametersofnanoemulsioncontainingaripiprazoleusingresponsesurfacemethodology AT ahmads optimizationofprocessingparametersofnanoemulsioncontainingaripiprazoleusingresponsesurfacemethodology
_version_	1718400443714895872

Optimization of Processing Parameters of Nanoemulsion Containing Aripiprazole Using Response Surface Methodology

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