TY - JOUR
T1 - Optimizing the Formula of Polymeric-Based Aripiprazole Nanosuspension Using Response Surface Methodology for Intranasal Drug Delivery
AU - Aisiah, Nabila Fatin
AU - Surini, Silvia
N1 - Publisher Copyright:
© 2024 by Indonesian Journal of Pharmacy (IJP).
PY - 2024
Y1 - 2024
N2 - This study aimed to optimize the formula of aripiprazole nanosuspension for intranasal drug delivery. Response Surface Methodology (RSM) was employed to determine the influence of independent variables, including drug concentration, polymer concentration, and the ratio of polymer combination, on the nanosuspension characteristics. The parameters under investigation were particle size (d mean), polydispersity index, and drug content. Fifteen formulas generated from Box-Behnken Design (BBD) were prepared using the combination of high-shear homogenization–ultrasonication method, and the Design Expert software was applied for optimum formula determination. The result showed significant effects of the independent variables on the nanosuspension characteristics, with particle sizes ranging from 143.6 – 334.6 nm, PDI values of 0.302 – 0.649, and drug content of 98.7 – 102.1%. The predicted optimum formula had a drug concentration of 28 mg/mL in the organic solvent, polymer concentration of 1.5% (w/v), and HPMC to PVP ratio of 1.4 with desirability of 0.94. Additionally, it exhibited desirable characteristics, such as a particle size of 171.2 ± 11.4 nm, a PDI value of 0.317 ± 0.02, and a high drug content of 100.04 ± 0.65%. The optimized formula was also evaluated for its morphology using TEM, in vitro duration of mucoadhesion and physical-chemical stability study. In conclusion, the aripiprazole nanosuspension prepared and optimized using RSM exhibited favorable characteristics, including small particle size, narrow distribution, and high drug content.
AB - This study aimed to optimize the formula of aripiprazole nanosuspension for intranasal drug delivery. Response Surface Methodology (RSM) was employed to determine the influence of independent variables, including drug concentration, polymer concentration, and the ratio of polymer combination, on the nanosuspension characteristics. The parameters under investigation were particle size (d mean), polydispersity index, and drug content. Fifteen formulas generated from Box-Behnken Design (BBD) were prepared using the combination of high-shear homogenization–ultrasonication method, and the Design Expert software was applied for optimum formula determination. The result showed significant effects of the independent variables on the nanosuspension characteristics, with particle sizes ranging from 143.6 – 334.6 nm, PDI values of 0.302 – 0.649, and drug content of 98.7 – 102.1%. The predicted optimum formula had a drug concentration of 28 mg/mL in the organic solvent, polymer concentration of 1.5% (w/v), and HPMC to PVP ratio of 1.4 with desirability of 0.94. Additionally, it exhibited desirable characteristics, such as a particle size of 171.2 ± 11.4 nm, a PDI value of 0.317 ± 0.02, and a high drug content of 100.04 ± 0.65%. The optimized formula was also evaluated for its morphology using TEM, in vitro duration of mucoadhesion and physical-chemical stability study. In conclusion, the aripiprazole nanosuspension prepared and optimized using RSM exhibited favorable characteristics, including small particle size, narrow distribution, and high drug content.
KW - Aripiprazole
KW - High Shear Homogenization
KW - Nanosuspension
KW - Ultrasonication
UR - http://www.scopus.com/inward/record.url?scp=85205707324&partnerID=8YFLogxK
U2 - 10.22146/ijp.9104
DO - 10.22146/ijp.9104
M3 - Article
AN - SCOPUS:85205707324
SN - 2338-9427
VL - 35
SP - 501
EP - 511
JO - Indonesian Journal of Pharmacy
JF - Indonesian Journal of Pharmacy
IS - 3
ER -