DESIGN AND OPTIMIZATION OF DOXORUBICIN HCL PRONIOSOMES BY-DESIGN OF EXPERIMENT

Authors

  • SRIKANTH Research scholar at JNTU Hyderabad and V. L. College of Pharmacy, Raichur, India
  • ANAND KUMAR Y. Department of Pharmaceutics, V. L. College of Pharmacy, Raichur, India
  • MALLIKARJUNA SETTY C. Department of Pharmaceutics, Oxford College of Pharmacy, Bengaluru, India

DOI:

https://doi.org/10.22159/ijpps.2019v11i7.33798

Keywords:

Doxorubicin HCl, Proniosomes, Tween 20, cholesterol, Hydration volume, Sonication time, Box-Behnken design

Abstract

Objective: The present research work was designed to formulate and optimize doxorubicin HCl proniosomes by design of experiment (DoE).

Methods: A 4-factor, 3-level Box-Behnken design was used to explain multiple linear regression analysis and contour 3D plot responses. The independent variables selected were tween 20, cholesterol, hydration volume and sonication time; dependent variables percentage entrapment efficiency (PEE), mean vesicle size (MVS). Based on the Box-Behnken design 29 trial runs were studied and optimized for PEE and MVS. Further "Model F-Value" was calculated to confirm the omission of insignificant terms from the full-model equation to derive a multiple linear regression analysis to predict the PEE and MVS of niosomes derived from proniosomes. 3D plots were constructed to show the influence of independent variables on dependent variables.

Results: PEE of doxorubicin HCl proniosomes was found to be in the range of 40.21-87.5%. The polynomial equation for PEE exhibited a good correlation coefficient (0.5524) and the "Model F-Value" of 7.41 implies the model is significant. P-values less than 0.0500 indicate model terms are significant. The MVS of doxorubicin HCl proniosomes was found to be in the range of 325.2 nm to 420.25 nm. The mathematical model generated for MVS (R2) was found to be significant with model F-value of 54.22. There is only a 0.01% chance that a "Model F-Value" this large could occur due to noise (P<0.0500) and R2 value of 0.9004.

Conclusion: The DoE of Box-Behnken design demonstrated the role of the derived equation, 3D plot in predicting the values of dependent variables for the preparation and optimization of doxorubicin HCl proniosomes. The results suggest that doxorubicin HCl proniosomes can act as a promising carrier.

Downloads

Download data is not yet available.

References

Singh B, Pahuja S, Kapil R, Ahuja N. Formulation development of oral controlled-release tablets of hydralazine: optimization of drug release and bioadhesive characteristics. Acta Pharm 2009;59:1-13.

Dhawan S, Kapil R, Singh B. Formulation development and systematic optimization of solid lipid nanoparticles of quercetin for improved brain delivery. J Pharm Pharmacol 2011;63:342-51.

Doornbos DA, Haan P. Optimization techniques in formulation and processing. In: Swarbrick J, Boylan JC. Editors. Encyclopedia of Pharmaceutical Technology. Marcel Dekker, New York; 1995. p. 77-160.

Lewis GA. Optimization methods. In: Swarbrick J, Boylan JC. Editors. Encyclopedia of Pharmaceutical Technology. Marcel Dekker, New York; 2002. p. 1922-37.

Yu LX. Pharmaceutical quality by design: product and process development, understanding, and control. Pharm Res 2008;25:781-91.

Huang J, Kaul G, Cai C, Chatlapalli R, Hernandez-Abad P, Ghosh K, et al. Quality by design case study: an integrated multivariate approach to drug product and process development. Int J Pharm 2009;382:23-32.

Verma S, Lan Y, Gokhale R. Quality by design approach to understand the process of nanosuspension preparation. Int J Pharm 2009;377:185-98.

Soujanya C, Raviprakesh P. Formulation and evaluation of proniosomal gel-based transdermal delivery of atorvastatin calcium by box–behnken design. Asian J Pharma Clini Res 2019;12:335-43.

Chaudhari PM, Kuchekar MA. Development and evaluation of nanoemulsion as a carrier for the topical delivery system by box-behnken design. Asian J Pharma Clin Res 2018;11:286-93.

Surya SPT, Mohan M. Screening and optimization of valacyclovir niosomes by design of experiments. Int J Appl Pharma 2017;10:79-85.

Srikanth, Anand Kumar Y, Mallikarjuna Setty C. Preparation and evaluation of maltodextrin based proniosomes containing capecitabine. Int J Res Dev Pharm Life Sci 2017;6:2856-61.

Blazek Welsh AI, Rhodes DG. Maltodextrin-based proniosomes. AAPS Pharm Sci 2001;3:1-8.

Hao Y, Zhao F, Li N, Yang Y, Li K. Studies on a high encapsulation of colchicine by a niosome system. Int J Pharm 2002;244:73-80.

Published

01-07-2019

How to Cite

SRIKANTH, A. K. . Y., and M. S. . C. “DESIGN AND OPTIMIZATION OF DOXORUBICIN HCL PRONIOSOMES BY-DESIGN OF EXPERIMENT”. International Journal of Pharmacy and Pharmaceutical Sciences, vol. 11, no. 7, July 2019, pp. 90-95, doi:10.22159/ijpps.2019v11i7.33798.

Issue

Section

Original Article(s)