Abstract
Box–Behnken designs (BBD) are the very efficient response surface design which provides information exclusively on the effect of experiment variables and overall experimental error in a minimum number of required runs. These designs possess very good symmetry and rotatability and also produce minimal experimental runs, as compared to the popular CCD and deliver maximal information. As a response surface design, BBD requires three levels (−1, 0, 1) and can be applicable for a number of factors ranging between 3 and 21. It is possible to use both numerical and categorical factors for optimization in a BBD, but use of categorical factors tends to increase the number of runs. Due to high resolution of CCDs, these can be efficiently useful for a variety of drug product and process optimization. The present chapter provides complete details regarding the application of BBD in pharmaceutical drug product development and optimization.
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References
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Beg, S., Raza, K. (2021). Full Factorial and Fractional Factorial Design Applications in Pharmaceutical Product Development. In: Beg, S. (eds) Design of Experiments for Pharmaceutical Product Development. Springer, Singapore. https://doi.org/10.1007/978-981-33-4717-5_4
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