Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Introducing Humidity and Temperature As Important Parameters Determining the Size of Electrosprayed Chitosan Nanoparticles Publisher



Ostad MA1 ; Arezumand R1 ; Oroojalian F1 ; Hanafi A2 ; Amani A1, 3
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Advanced Technologies, North Khorasan University of Medical Sciences, Bojnurd, Iran
  2. 2. Department of Organic Chemistry and Biochemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran
  3. 3. Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran

Source: Nanomedicine Research Journal Published:2021


Abstract

Particle size is an important parameter in determining the quality of drug delivery systems. In this study, the effect of four independent parameters on the size of nanoparticles, prepared via electrospray, was investigated using artificial neural networks (ANNs). The parameters included concentration of polymer, applied voltage, humidity and temperature, of which, the last two were investigated for the first time in this study. The developed ANNs model showed that applied voltage and temperature had small and reverse effects on the size. However, the dominant factors determining the size of the nanoparticles were humidity and polymer concentration: an optimum value was required for obtaining the smallest size. © Medicina e Morale.All right reserved.
Related Docs
View other Related Docs
1. Size, Loading Efficiency, and Cytotoxicity of Albumin-Loaded Chitosan Nanoparticles: An Artificial Neural Networks Study, Journal of Pharmaceutical Sciences (2017)
2. The Significance of Artificial Intelligence in Drug Delivery System Design, Advanced Drug Delivery Reviews (2019)
3. Evaluation of Factors Affecting Size and Size Distribution of Chitosan-Electrosprayed Nanoparticles, Avicenna Journal of Medical Biotechnology (2017)
4. Use of Artificial Neural Networks for Analysis of the Factors Affecting Particle Size in Mebudipine Nanoemulsion, Journal of Biomolecular Structure and Dynamics (2019)
5. Parameters Influencing Size of Electrosprayed Chitosan/Hpmc/Tpp Nanoparticles Containing Alendronate by an Artificial Neural Networks Model, Journal of Electrostatics (2021)
6. Pretreatment With Ultrasonication Reduces the Size of Azelaic Acid-Chitosan Nanoparticles Prepared by Electrospray, Archives of Razi Institute (2018)
7. Preparation, Optimization and Activity Evaluation of Plga/Streptokinase Nanoparticles Using Electrospray, Advanced Pharmaceutical Bulletin (2017)
8. Preparation and Optimization of Chitosan/Pdna Nanoparticles Using Electrospray, Proceedings of the National Academy of Sciences India Section B - Biological Sciences (2019)
Experts (# of related papers)
View all Related Experts
Mohammad Ali Faramarzi (5)
Hossein Ghanbari (3)
Other Related Docs
9. Loading Efficiency of Doxorubicin-Loaded Beta-1,3-Glucan Nanoparticles: An Artificial Neural Networks Study, Nanomedicine Research Journal (2021)
10. Application of Electrospray in Preparing Solid Lipid Nanoparticles and Optimization of Nanoparticles Using Artificial Neural Networks, Avicenna Journal of Medical Biotechnology (2020)
11. Optimizing Microfluidic Preparation Parameters of Nanosuspension to Evaluate Stability in Nanoprecipitation of Stable-Iodine (127I), SN Applied Sciences (2019)
12. Investigation of Iron Oxide Nanoparticle Cytotoxicity in Relation to Kidney Cells: A Mathematical Modeling of Data Mining, Toxicology in Vitro (2019)
13. Preparation, Characterization, and Optimization of Folic Acid-Chitosan-Methotrexate Core-Shell Nanoparticles by Box-Behnken Design for Tumor-Targeted Drug Delivery, AAPS PharmSciTech (2017)
14. Advances in the Anticancer Value of the Ursolic Acid Through Nanodelivery, Current Medicinal Chemistry (2018)
15. Optimization of Noscapine-Loaded Mpeg-Plga Nanoparticles and Release Study: A Response Surface Methodology Approach, Journal of Pharmaceutical Innovation (2018)
16. Preparation of Peg-Grafted Chitosan/Streptokinase Nanoparticles to Improve Biological Half-Life and Reduce Immunogenicity of the Enzyme, International Journal of Biological Macromolecules (2020)
17. N-Acetylcysteine-Loaded Plga Nanoparticles Outperform Conventional N-Acetylcysteine in Acute Lung Injuries in Vivo, International Journal of Polymeric Materials and Polymeric Biomaterials (2017)
18. Micro/Nanoscale Surface Engineering to Enhance Hemocompatibility and Reduce Bacterial Adhesion for Cardiovascular Implants, Materials Chemistry and Physics (2022)
19. Machine Learning Approaches for Recognition and Classification of Nanomaterial Morphology, Materials Today Communications (2024)
20. Optimization of Paclitaxel-Loaded Poly (D,L-Lactide-Co-Glycolide-N-P-Maleimido Benzoic Hydrazide) Nanoparticles Size Using Artificial Neural Networks, Pharmaceutical Development and Technology (2015)
21. Mzd7349 Peptide-Conjugated Plga Nanoparticles Directed Against Vcam-1 for Targeted Delivery of Simvastatin to Restore Dysfunctional Huvecs, Microvascular Research (2017)
22. Effect of Processing/Formulation Parameters on Particle Size of Nanoemulsions Containing Ibuprofen - an Artificial Neural Networks Study, Pharmaceutical Sciences (2021)
23. Recent Advances on the Application of Nanobiomimetic Structures As Drug Delivery Systems, Journal of Drug Delivery Science and Technology (2024)
24. Optimization of Docetaxel Loading Conditions in Liposomes: Proposing Potential Products for Metastatic Breast Carcinoma Chemotherapy, Scientific Reports (2020)
25. Evaluation of Drug-Eluting Nanoparticle Coating on Magnesium Alloy for Development of Next Generation Bioabsorbable Cardiovascular Stents, Medical Engineering and Physics (2022)
26. An Integrated Approach to Occupational Health Risk Assessment of Manufacturing Nanomaterials Using Pythagorean Fuzzy Ahp and Fuzzy Inference System, Scientific Reports (2024)
27. Preparation of Paclitaxel and Etoposide Co-Loaded Mpeg-Plga Nanoparticles: An Investigation With Artificial Neural Network, Journal of Pharmaceutical Innovation (2021)
28. Ratio of Drug/Carrier As Dominant Factor in Determining Size of Doxorubicin-Loaded Beta-1,3- Glucan Nanoparticles: A Study Using Artificial Neural Networks, Nanomedicine Research Journal (2020)