Oil-in-Water Nanosized Emulsions for Drug Delivery and Targeting. Tamilvanan Shunmugaperumal. Читать онлайн. Newlib. NEWLIB.NET

Автор: Tamilvanan Shunmugaperumal
Издательство: John Wiley & Sons Limited
Серия:
Жанр произведения: Химия
Год издания: 0
isbn: 9781119585251
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Design for
Optimization Screening
Box‐Behnken Central compositeFace centeredOrthogonal quadraticPractical (k > 5)SphericalRotatable (k < 6) Miscellaneous3‐Level fractionalHybridPentagonalHexagonal MixtureSimplex latticeSimplex centroid Split‐plotCentral compositeOptimal (custom) Supersaturated MiscellaneousIrregular res VPlackett–BurmanTaguchi OA RandomizedMin‐run characterizeMin‐run screenMultilevel categoricOptimal (custom)Regular two‐level Split‐plotMultilevel categoricOptimal (custom)Regular two‐level

       2.5.1.3. Factor Screening Studies by Taguchi Design

Critical Material Attributes (CMAs) and Critical Process Parameters (CPPs, also Called as Independent Variables) with Their Code Levels Critical Quality Attributes (CQAs, also Called as Dependent Variables)
Low (−1) High (+1)
A:Castor oil (ml) 1 2 Mean particle size (MPS, nm) Polydispersity index (PDI) Zeta potential (ZP, mV)
B:Chitosan (mg) 6 18
C:Poloxamer (mg) 75 100
D:Premixing time (min) 10 15
E:Homogenization time (min) 15 20
F:Homogenization speed (min) 15,000 17,000
G:Probe sonication time (min) 5 10
Run A B C D E F G
1 1 −1 1 −1 1 −1 1
2 −1 1 1 −1 −1 1 1
3 −1 −1 −1 −1 −1 −1 −1
4 1 −1 1 1 −1 1 −1
5 1 1 −1 −1 1 1 −1
6 −1 1 1 1 1 −1 −1
7 −1 −1 −1 1 1 1 1
8 1 1 −1 1 −1 −1 1

      If a particular formulation and process variables showed an effect that exceeds the standard t limit in the Pareto chart, then the variables produced a significant effect on the CQAs. On the other side, any of the formulation and process variables showing the effect that is lower than the standard t limit will be considered to produce a nonsignificant influence on the CQAs. In a similar manner, the significances of the formulation and process variables are also determined by the Bonferroni limit in the Pareto chart.

      The formulation and process variable such as homogenization speed was found to exceed either t value limit or Bonferroni limit for the MPS (Fig. 2.5a). This indicates that this formulation and process variable might produce the most significant influence on MPS. Although the homogenization speed was found to produce a significant influence on MPS, it did not influence the PDI and ZP values. Taking the insignificant influence of homogenization