Optimization of paclitaxel-loaded poly (d,l-lactide-co-glycolide-N-p-maleimido benzoic hydrazide) nanoparticles size using artificial neural networks.

Autor: Mostafavi SH; a Faculty of Pharmacy , Nanotechnology Research Centre, Tehran University of Medical Sciences , Tehran , Iran.; b Department of Medical Nanotechnology , School of Advanced Technologies in Medicine, Tehran University of Medical Sciences , Tehran , Iran., Aghajani M; c Department of Nanotechnology , The Persian Gulf Nuclear Medicine Research Center, The Persian Gulf Biomedical Sciences Institute, Bushehr University of Medical Sciences , Bushehr , Iran., Amani A; b Department of Medical Nanotechnology , School of Advanced Technologies in Medicine, Tehran University of Medical Sciences , Tehran , Iran.; d Medical Biomaterials Research Center, Tehran University of Medical Sciences , Tehran , Iran., Darvishi B; e Novel Drug Delivery Systems Lab, Faculty of Pharmacy, Tehran University of Medical Sciences , Tehran , Iran , and., Noori Koopaei M; e Novel Drug Delivery Systems Lab, Faculty of Pharmacy, Tehran University of Medical Sciences , Tehran , Iran , and., Pashazadeh AM; c Department of Nanotechnology , The Persian Gulf Nuclear Medicine Research Center, The Persian Gulf Biomedical Sciences Institute, Bushehr University of Medical Sciences , Bushehr , Iran., Maghazei MS; e Novel Drug Delivery Systems Lab, Faculty of Pharmacy, Tehran University of Medical Sciences , Tehran , Iran , and., Alvandifar F; e Novel Drug Delivery Systems Lab, Faculty of Pharmacy, Tehran University of Medical Sciences , Tehran , Iran , and., Nabipour I; f The Persian Gulf Tropical Medicine Research Center, Bushehr University of Medical Sciences , Bushehr , Iran., Karami F; e Novel Drug Delivery Systems Lab, Faculty of Pharmacy, Tehran University of Medical Sciences , Tehran , Iran , and., Assadi M; c Department of Nanotechnology , The Persian Gulf Nuclear Medicine Research Center, The Persian Gulf Biomedical Sciences Institute, Bushehr University of Medical Sciences , Bushehr , Iran., Dinarvand R; a Faculty of Pharmacy , Nanotechnology Research Centre, Tehran University of Medical Sciences , Tehran , Iran.; e Novel Drug Delivery Systems Lab, Faculty of Pharmacy, Tehran University of Medical Sciences , Tehran , Iran , and.
Jazyk: angličtina
Zdroj: Pharmaceutical development and technology [Pharm Dev Technol] 2015 Nov; Vol. 20 (7), pp. 845-853. Date of Electronic Publication: 2014 Jul 01.
DOI: 10.3109/10837450.2014.930487
Abstrakt: The aim of this study was to find a model using artificial neural networks (ANNs) to predict PLGA-PMBH nanoparticles (NPs) size in preparation by modified nanoprecipitation. The input variables were polymer content, drug content, power of sonication and ratio of organic/aqueous phase (i.e. acetone/water), while the NPs size of PLGA-PMBH was assumed as the output variable. Forty samples of PLGA-PMBH NPs containing anticancer drug (i.e. paclitaxel) were synthesized by changing the variable factors in the experiments. The data modeling were performed using ANNs. The effects of input variables (namely, polymer content, drug content, power of sonication and ratio of acetone/water) on the output variables were evaluated using the 3D graphs obtained after modeling. Contrasting the 3D graphs from the generated model revealed that the amount of polymer (PLGA-PMBH) and drug content (PTX) have direct relation with the size of polymeric NPs in the process. In addition, it was illustrated that the ratio of acetone/water was the most important factor affecting the particle size of PLGA-PMBH NPs provided by solvent evaporation technique. Also, it was found that increasing the sonication power (up to a certain amount) indirectly affects the polymeric NPs size however it was directly affected in higher values.
Databáze: MEDLINE
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