Parameters Influencing Size of Electrosprayed Chitosan/Hpmc/Tpp Nanoparticles Containing Alendronate by an Artificial Neural Networks Model

Parameters Influencing Size of Electrosprayed Chitosan/Hpmc/Tpp Nanoparticles Containing Alendronate by an Artificial Neural Networks Model Publisher

Esmaeili F¹ ; Aghajani M¹ ; Rashti A¹ ; Abdollahi M² ; Faridimajidi R¹ ; Ghanbari H¹ ; Amani A^{1, 3}

Show Affiliations

1. Department of Medical Nanotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
2. Toxicology and Diseases Pharmaceutical Sciences Research Center, The Institute of Pharmaceutical Sciences (TIPS), Department of Toxicology and Pharmacology, School of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
3. Natural Products and Medicinal Plants Research Center, North Khorasan University of Medical Sciences, Bojnurd, Iran

Source: Journal of Electrostatics Published:2021

Abstract

In this study, alendronate (Aln)-loaded chitosan (Ch)/hydroxypropyl-methylcellulose (HPMC)/tripolyphosphate (TPP) nanoparticles were generated by ionic gelation method, combined with electrospray. Then, an artificial neural networks (ANNs) model was used to identify the influence of factors including flow rate and concentration of HPMC, TPP and poloxamer concentrations on the size of nanoparticles. In the optimized formulation, the size of nanoparticles was 180 nm and 92 ± 17 nm by DLS and SEM, respectively. Also, PDI of the sample was determined to be 0.172. It was found that the size strongly depended on the TPP and poloxamer concentration. The presented method is a promising procedure in preparation of nanoparticles to be used in mucoadhesive oral drug delivery applications. © 2021 Elsevier B.V.

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Mohammad Ali Faramarzi (2)

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Style	Citing Format
MLA	Esmaeili F, et al.. "Parameters Influencing Size of Electrosprayed Chitosan/Hpmc/Tpp Nanoparticles Containing Alendronate by an Artificial Neural Networks Model." Journal of Electrostatics, vol. 112, no. , 2021, pp. -.
APA	Esmaeili F, Aghajani M, Rashti A, Abdollahi M, Faridimajidi R, Ghanbari H, Amani A (2021). Parameters Influencing Size of Electrosprayed Chitosan/Hpmc/Tpp Nanoparticles Containing Alendronate by an Artificial Neural Networks Model. Journal of Electrostatics, 112(), -.
Chicago	Esmaeili F, Aghajani M, Rashti A, Abdollahi M, Faridimajidi R, Ghanbari H, Amani A. "Parameters Influencing Size of Electrosprayed Chitosan/Hpmc/Tpp Nanoparticles Containing Alendronate by an Artificial Neural Networks Model." Journal of Electrostatics 112, no. (2021): -.
Harvard	Esmaeili F et al. (2021) 'Parameters Influencing Size of Electrosprayed Chitosan/Hpmc/Tpp Nanoparticles Containing Alendronate by an Artificial Neural Networks Model', Journal of Electrostatics, 112(), pp. -.
Vancouver	Esmaeili F, Aghajani M, Rashti A, Abdollahi M, Faridimajidi R, Ghanbari H, et al.. Parameters Influencing Size of Electrosprayed Chitosan/Hpmc/Tpp Nanoparticles Containing Alendronate by an Artificial Neural Networks Model. Journal of Electrostatics. 2021;112():-.
BibTex	@article{ author = {Esmaeili F and Aghajani M and Rashti A and Abdollahi M and Faridimajidi R and Ghanbari H and Amani A}, title = {Parameters Influencing Size of Electrosprayed Chitosan/Hpmc/Tpp Nanoparticles Containing Alendronate by an Artificial Neural Networks Model}, journal = {Journal of Electrostatics}, volume = {112}, number = {}, pages = {-}, year = {2021} }
RIS	TY - JOUR AU - Esmaeili F AU - Aghajani M AU - Rashti A AU - Abdollahi M AU - Faridimajidi R AU - Ghanbari H AU - Amani A TI - Parameters Influencing Size of Electrosprayed Chitosan/Hpmc/Tpp Nanoparticles Containing Alendronate by an Artificial Neural Networks Model JO - Journal of Electrostatics VL - 112 IS - SP - EP - PY - 2021 ER -

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