2014
DOI: 10.1007/s11095-014-1381-8
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Computer Modeling Assisted Design of Monodisperse PLGA Microspheres with Controlled Porosity Affords Zero Order Release of an Encapsulated Macromolecule for 3 Months

Abstract: By fine-tuning the porosity, the release profile of PLGA microspheres for macromolecules can be predicted and changed from a three-phasic to a continuous release.

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Cited by 29 publications
(20 citation statements)
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“…23,36 In order to obtain tailorable release of biopharmaceutical protein drugs, Kazazi-Hyseni et al prepared PLGA microspheres with differences in porosity by varying formulation parameters such as polymer concentration and oil/water ratios in a membrane emulsification process. 37 An alternative approach for tailoring the release of pharmaceutical proteins from polymeric microspheres is the use of phase-separated multiblock copolymers. 38,39 SynBioSys ® multiblock copolymers composed of amorphous poly(ε-caprolactone)–poly(ethylene glycol)–poly(ε-caprolactone) (PCL–PEG–PCL) blocks and semicrystalline poly( l -lactic acid) (PLLA) blocks (as shown in Figure 1) are more hydrophilic than for example PLGA, due to the presence of PEG.…”
Section: Introductionmentioning
confidence: 99%
“…23,36 In order to obtain tailorable release of biopharmaceutical protein drugs, Kazazi-Hyseni et al prepared PLGA microspheres with differences in porosity by varying formulation parameters such as polymer concentration and oil/water ratios in a membrane emulsification process. 37 An alternative approach for tailoring the release of pharmaceutical proteins from polymeric microspheres is the use of phase-separated multiblock copolymers. 38,39 SynBioSys ® multiblock copolymers composed of amorphous poly(ε-caprolactone)–poly(ethylene glycol)–poly(ε-caprolactone) (PCL–PEG–PCL) blocks and semicrystalline poly( l -lactic acid) (PLLA) blocks (as shown in Figure 1) are more hydrophilic than for example PLGA, due to the presence of PEG.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the complexity of the interpretation of ANNs models, they are often combined with other Artificial Intelligence technologies such as fuzzy logic, giving hybrid systems [37,38]. The neurofuzzy logic technology used in this study combines the adaptive learning capabilities from ANNs and the ability to generalize rules of fuzzy.…”
Section: Introductionmentioning
confidence: 99%
“…The particle sizes and size distributions of the microspheres were tested by Mastersizer laser diffraction (Malvern, UK). The size uniformity is expressed as the Span value, which was calculated as follows (Hu et al., 2012; Kazazi-Hyseni et al., 2014): where D v , 90%, D v , 50% and D v , 10% are the volume size diameters of the particles at 90%, 50% and 10% of the cumulative volume, respectively. The volume distributions are the default choice for many ensemble light scattering techniques including laser diffraction (Lai et al., 2014).…”
Section: Methodsmentioning
confidence: 99%