REVIEW OF RECENT STUDIES ON STATISTICAL OPTIMIZATION IN DRUG DELIVERY TECHNOLOGIES

  • Sumit Patil Department of Pharmaceutics, Sai Nath University, Ranchi, Jharkhand, India.
  • Shriniwas Yeramwar Department of Pharmaceutics, Sai Nath University, Ranchi, Jharkhand, India.
  • Pankaj Sharma School of Pharmaceutical Sciences, Jaipur National University, Jaipur, Rajasthan, India.
  • Anurag Bhargava Ch. Devi Lal College of Pharmacy Bhagwangah, Jagadhri, Yamuna Nagar, Haryana, India.

Abstract

Statistical modeling and experimental design are essential tools in field of drug delivery during product development and can be divided into formula and process optimization. Experimental design allows efficient experimentation in which all or a large subset of factors are together varied over a set of experiments, in contrast to the traditional approach of varying only one variable at time (OVAT). Good estimates for the required composition, geometry, dimensions and preparation procedure of various types of delivery systems will be available, taking into account the desired administration route, drug dose and release profile. Thus, the number of required experimental studies during product development can be significantly reduced, saving time and reducing costs. The present review discusses types of designs and methodologies used recently in academic as well as industrial research for optimization of novel drug delivery systems.

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How to Cite
Patil, S., Yeramwar, S., Sharma, P., & Bhargava, A. (2014). REVIEW OF RECENT STUDIES ON STATISTICAL OPTIMIZATION IN DRUG DELIVERY TECHNOLOGIES. Journal of Drug Delivery and Therapeutics, 4(5), 58-68. https://doi.org/10.22270/jddt.v4i5.954