1 research outputs found
Factorial Design Based Multivariate Modeling and Optimization of Tunable Bioresponsive Arginine Grafted Poly(cystaminebis(acrylamide)-diaminohexane) Polymeric Matrix Based Nanocarriers
Desired
characteristics of nanocarriers are crucial to explore its therapeutic
potential. This investigation aimed to develop tunable bioresponsive
newly synthesized unique arginine grafted poly(cystaminebis(acrylamide)-diaminohexane)
[ABP] polymeric matrix based nanocarriers by using L9 Taguchi factorial
design, desirability function, and multivariate method. The selected
formulation and process parameters were ABP concentration, acetone
concentration, the volume ratio of acetone to ABP solution, and drug
concentration. The measured nanocarrier characteristics were particle
size, polydispersity index, zeta potential, and percentage drug loading.
Experimental validation of nanocarrier characteristics computed from
initially developed predictive model showed nonsignificant differences
(<i>p</i> > 0.05). The multivariate modeling based optimized
cationic nanocarrier formulation of <100 nm loaded with hydrophilic
acetaminophen was readapted for a hydrophobic etoposide loading without
significant changes (<i>p</i> > 0.05) except for improved
loading percentage. This is the first study focusing on ABP polymeric
matrix based nanocarrier development. Nanocarrier particle size was
stable in PBS 7.4 for 48 h. The increase of zeta potential at lower
pH 6.4, compared to the physiological pH, showed possible endosomal
escape capability. The glutathione triggered release at the physiological
conditions indicated the competence of cytosolic targeting delivery
of the loaded drug from bioresponsive nanocarriers. In conclusion,
this unique systematic approach provides rational evaluation and prediction
of a tunable bioresponsive ABP based matrix nanocarrier, which was
built on selected limited number of smart experimentation