influential variables too (Singh et al. 2011a, c; Raza et al. 2013). Major CQAs, in this
context, included nanometric size, zeta potential, drug release profile, stability, drug
entrapment efficiency and also organoleptic attributes (Singh et al. 2011a, c; Li et al.
2017; Singh et al. 2005b). The predictive capability of FbD optimization methods is
often ratified by characterizing and evaluating a variety of checkpoint nanostructured
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0
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<1980
1981-90
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<1980
1981-90
1991-2000
2001-10
2011-20
Years
Cumulative number of
publications
Other novel drug systems
nanostructured drug delivery systems
Fig. 18.11 A sequential bar chart of the mounting usage of QbD during systematic development of
various drug nanoconstructs
Fig. 18.12 A pie diagram depicting application of QbD on variegated kinds of drug
nanoconstructs
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B. Singh et al.