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Size Control in the Nanoprecipitation Process of Stable Iodine (127I) Using Microchannel Reactor—Optimization by Artificial Neural Networks

Aghajani, M.H. and Pashazadeh, A.M. and Mostafavi, S.H. and Abbasi, S. and Hajibagheri-Fard, M.-J. and Assadi, M. and Aghajani, M. (2015) Size Control in the Nanoprecipitation Process of Stable Iodine (127I) Using Microchannel Reactor—Optimization by Artificial Neural Networks. AAPS PharmSciTech, 16 (5). pp. 1059-1068.

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Abstract

In this study, nanosuspension of stable iodine (127I) was prepared by nanoprecipitation process in microfluidic devices. Then, size of particles was optimized using artificial neural networks (ANNs) modeling. The size of prepared particles was evaluated by dynamic light scattering. The response surfaces obtained from ANNs model illustrated the determining effect of input variables (solvent and antisolvent flow rate, surfactant concentration, and solvent temperature) on the output variable (nanoparticle size). Comparing the 3D graphs revealed that solvent and antisolvent flow rate had reverse relation with size of nanoparticles. Also, those graphs indicated that the solvent temperature at low values had an indirect relation with size of stable iodine (127I) nanoparticles, while at the high values, a direct relation was observed. In addition, it was found that the effect of surfactant concentration on particle size in the nanosuspension of stable iodine (127I) was depended on the solvent temperature. © 2015, American Association of Pharmaceutical Scientists.

Item Type: Article
Additional Information: cited By 0
Uncontrolled Keywords: iodine; nanoparticle; surfactant, Article; artificial neural network; concentration (parameters); flow rate; light scattering; microfluidics; nanoprecipitation; particle size; precipitation; priority journal; reactor; surface property; temperature
Subjects: مقالات نمایه شده محققین دانشگاه در سایت ,Web of Science ,Scopus
Divisions: معاونت تحقیقات و فناوری
Depositing User: GOUMS
Date Deposited: 10 Sep 2016 05:06
Last Modified: 14 Jan 2017 06:38
URI: http://eprints.goums.ac.ir/id/eprint/4698

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