AAPS PharmSciTech

, Volume 19, Issue 7, pp 3311–3321 | Cite as

Comparative Study for Optimization of Pharmaceutical Self-Emulsifying Pre-concentrate by Design of Experiment and Artificial Neural Network

  • Kinjal J. Parikh
  • Krutika K. SawantEmail author
Research Article


The present investigation aimed to optimize the critical parameters affecting the globule size of self-emulsifying drug delivery system. Based on preliminary screening, three critical parameters, viz., amount of oil, surfactant, and co-surfactant were found to affect the globule size. I-optimal mixture design and Artificial Neural Network (ANN) were used to optimize the formulation with respect to minimum globule size. Comparative study was carried out to identify which optimization technique gave better predictability for the selected output parameter. R-value and MSE values were taken into consideration for comparison of both techniques. Using Response Surface Methodology-based I-optimal mixture design approach, the R2 value was found to be 0.9867, whereas with ANN technique, it was found to be 0.99548. The predicted size for the optimized batch by I-optimal design was 122.377 nm, whereas by ANN, it was 119.6783 nm against the actual obtained size of 118.2 ± 2.3 nm. This analysis indicated superior predictability of output for given input variables by ANN as compared to model-dependent DoE I-optimal design approach.


self-emulsifying pre-concentrate formulation optimization I-optimal design multiple regression artificial neural network 



The authors would like to acknowledge the support of Chirag Makvana and Ankit Desai for their help in coding evaluation. The authors would also like to thank Alembic Pharmaceuticals Ltd., Vadodara, India, for providing Iloperidone as gift sample.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflict of interest.


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Copyright information

© American Association of Pharmaceutical Scientists 2018

Authors and Affiliations

  1. 1.Faculty of PharmacyThe M S University of BarodaVadodaraIndia

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