Optimization of processing parameters of nanoemulsion containing aripiprazole using response surface methodology

Background: 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 cond...

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Main Authors: Samiun, Wan Sarah, Wan Sarah, Ashari, Siti Efliza, Salim, Norazlinaliza, Ahmad, Syahida
Format: Article
Published: Informa UK Limited 2020
Online Access:http://psasir.upm.edu.my/id/eprint/87010/
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author Samiun, Wan Sarah, Wan Sarah
Ashari, Siti Efliza
Salim, Norazlinaliza
Ahmad, Syahida
author_facet Samiun, Wan Sarah, Wan Sarah
Ashari, Siti Efliza
Salim, Norazlinaliza
Ahmad, Syahida
author_sort Samiun, Wan Sarah, Wan Sarah
building UPM Institutional Repository
collection Online Access
description Background: 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.
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spelling upm-870102024-05-14T08:20:57Z http://psasir.upm.edu.my/id/eprint/87010/ Optimization of processing parameters of nanoemulsion containing aripiprazole using response surface methodology Samiun, Wan Sarah, Wan Sarah Ashari, Siti Efliza Salim, Norazlinaliza Ahmad, Syahida Background: 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. Informa UK Limited 2020 Article PeerReviewed Samiun, Wan Sarah, Wan Sarah and Ashari, Siti Efliza and Salim, Norazlinaliza and Ahmad, Syahida (2020) Optimization of processing parameters of nanoemulsion containing aripiprazole using response surface methodology. International Journal of Nanomedicine, 2020. 1585 - 1594. ISSN 1178-2013 https://www.dovepress.com/optimization-of-processing-parameters-of-nanoemulsion-containing-aripi-peer-reviewed-fulltext-article-IJN 10.2147/IJN.S198914
spellingShingle Samiun, Wan Sarah, Wan Sarah
Ashari, Siti Efliza
Salim, Norazlinaliza
Ahmad, Syahida
Optimization of processing parameters of nanoemulsion containing aripiprazole using response surface methodology
title 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_short 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
url http://psasir.upm.edu.my/id/eprint/87010/
http://psasir.upm.edu.my/id/eprint/87010/
http://psasir.upm.edu.my/id/eprint/87010/