QbD-steered product or process understanding, and usage of DoE and QRM
principles, but acquiring deeper knowledge and know-how of product development
paradigms too.
The exceptional feature of an archetypal FbD strategy is its precise portrayal or
premonition of drug product performance and its distinct ability for detection and
estimation of possible synergism or antagonism among several input variables
(Singh et al. 2011c; Singh 2013; Beg et al. 2017a). Abundant shortcomings of the
OFAT approach, discussed in the previous section, verily call for adoption of FbD as
a much more sensible, systematic and innovative approach to engineer drug
nanocarriers for catering to the specialized and customized needs of patients
(Singh et al. 2011c; Beg et al. 2017a). While embarking upon the optimized
nanostructured drug delivery technologies, FbD offers myriad advantages over the
traditional OFAT approach (Singh et al. 2009a, b, 2011c, 2012), as outlined in
Box 18.1.
Box 18.1 Key Benefits of Implementing QbD Practices During
the Development of Drug Delivery Products
Meritorious visages of QbD-steered drug delivery development
• Superior quality drug delivery products
• Augmented product and process comprehension
• Perceptive planning employing synergistic team approach
• Decreased outflow of manpower, materials, money and time
• Improved access to the commercialization
• Reduced drug product rejects and recalls
• Quicker regulatory review and approval of products
• Admirable returns on corporate investments
• Negligible consumer cynicism on generic drug products
• Reduced regulatory queries and requirements
• Reduced post-approval changes
• Wider operating ranges
18.4
FbD Methodology
The entire FbD methodology can be holistically envisioned to be implemented in
five steps, as illustrated in Fig. 18.3.
18.4.1 Step I: Postulation of Objective(s) of Developing
Nanostructured Drug Products
A quality target product profile (QTPP) delineating various desired quality traits
considers its efficacy and safety for the end user, i.e. the patient is outlined. Selection
320
B. Singh et al.