• Nazia Khanam Malla Reddy Institute of Pharmaceutical Sciences, Hyderabad, Telangana State, India.
  • Md Irshad Alam United States Pharmacopeia Ltd. Hyderabad, Telangana State, India.
  • Quazi Md Aamer Iqbal Md Yusuf Ali K.T.Patil College of Pharmacy, Osmanabad, Maharashtra, India
  • Aquil-ur-rahman Siddiqui Shri Bhagwan College of Pharmacy, Aurangabad, Maharashtra, India.




Optimization Techniques, Quality by Design, Experimental Design, Factorial Design, Mixture Design, Taguchi Design


The present review article aims at determining the various possible techniques available to enhance the quality, safety and efficacy of pharmaceutical formulations by exploring most suitable and practically applicable experimental designs and optimization techniques. As we know that pharmaceutical industries are constantly in search of novel ideas to improve quality by various optimization techniques, hence in present review article we shall discuss latest optimization techniques and experimental designs to achieve the best combination of product and process characteristics under the given set of conditions. Experimental designs and optimization techniques are the tools that are simultaneously and systematically used to identify various types of problems that may influence research, development and production of pharmaceutical formulations. These are organized an approach to determine the relationship between the factors affecting a process and the output of that process. The screening methods discussed here include factorial design, fractional factorial designs, full factorial design, mixture designs etc. Recently, different software has been used in implementing optimization techniques in pharmaceutical products to enhance product quality by using most suitable available facilities.


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How to Cite

Khanam, N., Alam, M. I., Md Yusuf Ali, Q. M. A. I., & Siddiqui, A.- ur- rahman. (2018). A REVIEW ON OPTIMIZATION OF DRUG DELIVERY SYSTEM WITH EXPERIMENTAL DESIGNS. International Journal of Applied Pharmaceutics, 10(2), 7–12. https://doi.org/10.22159/ijap.2018v10i2.24482



Review Article(s)