PolySciTech (
www.polyscitech.com)
provides a wide array of PEG-PLA block copolymers for research applications.
Recently these types of polymers were investigated for use in delivery of
poorly soluble noscapine and applied to determine optimal parameters for
loading efficiency. Read more: Shalaby, Karim S., Mahmoud E. Soliman, Luca
Casettari, Giulia Bonacucina, Marco Cespi, Giovanni F. Palmieri, Omaima A.
Sammour, and Abdelhameed A. El Shamy. "Determination of factors
controlling the particle size and entrapment efficiency of noscapine in PEG/PLA
nanoparticles using artificial neural networks." International journal of
nanomedicine 9 (2014): 4953. Full text:
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4211908/
“Abstract: In this study, di- and triblock
copolymers based on polyethylene glycol and polylactide were synthesized by
ring-opening polymerization and characterized by proton nuclear magnetic
resonance and gel permeation chromatography. Nanoparticles containing noscapine
were prepared from these biodegradable and biocompatible copolymers using the
nanoprecipitation method. The prepared nanoparticles were characterized for
size and drug entrapment efficiency, and their morphology and size were checked
by transmission electron microscopy imaging. Artificial neural networks were
constructed and tested for their ability to predict particle size and
entrapment efficiency of noscapine within the formed nanoparticles using
different factors utilized in the preparation step, namely polymer molecular
weight, ratio of polymer to drug, and number of blocks that make up the
polymer. Using these networks, it was found that the polymer molecular weight
has the greatest effect on particle size. On the other hand, polymer to drug
ratio was found to be the most influential factor on drug entrapment
efficiency. This study demonstrated the ability of artificial neural networks
to predict not only the particle size of the formed nanoparticles but also the
drug entrapment efficiency. This may have a great impact on the design of
polyethylene glycol and polylactide-based copolymers, and can be used to
customize the required target formulations. Keywords: noscapine, polyethylene
glycol (PEG), polylactide (PLA), biodegradable nanoparticles, artificial neural
networks (ANNs)”
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