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Based on the principal of design of experiments (DoE), the methodology uses various types of experimental design, generation of polynomial equations, and mapping of the response over the experimental domain to determine the optimum formulation(s) [ 2– 6].
Therefore optimum formulation requires extensive experimental investigations.
Mixture design was performed to obtain the optimum formulation.
The optimum formulation should be characterized from the higher protection of the drug.
R-NLCs with a rutin to lipid ratio of 10% were selected as an optimum formulation.
With computer aided modeling and optimization technology, the optimum formulation can be predicted.
The size of optimum formulation was remained almost unchanged (42 nm) after 60 days.
The optimization of experiments was validated and optimum formulation was passed the stability study.
Also, optimum formulation was achieved by LM training function with 15 hidden layers and 20 neurons.
Based on these results, the optimum conditions were decided and the optimum formulation was prepared.
The optimum formulation of nanoparticles was obtained using the Central Composite Design.
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