Chitosan/tripolyphosphate nanoparticles in active and passive microchannels

Background and purpose: In recent years, the interest in chitosan nanoparticles has increased due to their application, especially in drug delivery. The main aim of this work was to find a suitable method for simulating pharmaceutical nanoparticles with computational fluid dynamics (CFD) modeling an...

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Main Authors: Mona Akbari, Zohreh Rahimi, Masoud Rahimi
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2021-01-01
Series:Research in Pharmaceutical Sciences
Subjects:
Online Access:http://www.rpsjournal.net/article.asp?issn=1735-5362;year=2021;volume=16;issue=1;spage=79;epage=93;aulast=Akbari
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spelling doaj-d1757f4b06a443a4a5287352b7e2fc472021-07-07T14:32:04ZengWolters Kluwer Medknow PublicationsResearch in Pharmaceutical Sciences1735-53621735-94142021-01-01161799310.4103/1735-5362.305191Chitosan/tripolyphosphate nanoparticles in active and passive microchannelsMona AkbariZohreh RahimiMasoud RahimiBackground and purpose: In recent years, the interest in chitosan nanoparticles has increased due to their application, especially in drug delivery. The main aim of this work was to find a suitable method for simulating pharmaceutical nanoparticles with computational fluid dynamics (CFD) modeling and use it for understanding the process of nanoparticle formation in different types of microchannels. Experimental approach: Active and passive microchannels were compared to find the advantages and disadvantages of each system. Twenty-eight experiments were done on microchannels to quantify the effect of 4 parameters and their interactions on the size and polydispersity index (PDI) of nanoparticles. CFD was implemented by coupling reactive kinetics and the population balance method to simulate the synthesis of chitosan/tripolyphosphate nanoparticles in the microchannel. Findings/Results: The passive microchannel had the best performance for nanoparticle production. The most uniform microspheres and the narrowest standard deviation (124.3 nm, PDI = 0.112) were achieved using passive microchannel. Compared to the active microchannel, the size and PDI of the nanoparticles were 28.7% and 70.5% higher for active microchannels, and 55.43% and 105.3% higher for simple microchannels, respectively. Experimental results confirmed the validity of CFD modeling. The growth and nucleation rates were determined using the reaction equation of chitosan and tripolyphosphate. Conclusion and implications: CFD modeling by the proposed method can play an important role in the prediction of the size and PDI of chitosan/tripolyphosphate nanoparticles in the same condition and provide a new perspective for studying the production of nanoparticles by numerical methods.http://www.rpsjournal.net/article.asp?issn=1735-5362;year=2021;volume=16;issue=1;spage=79;epage=93;aulast=Akbaricfd modeling; chitosan; microchannel; nanoparticles; population balance method
collection DOAJ
language English
format Article
sources DOAJ
author Mona Akbari
Zohreh Rahimi
Masoud Rahimi
spellingShingle Mona Akbari
Zohreh Rahimi
Masoud Rahimi
Chitosan/tripolyphosphate nanoparticles in active and passive microchannels
Research in Pharmaceutical Sciences
cfd modeling; chitosan; microchannel; nanoparticles; population balance method
author_facet Mona Akbari
Zohreh Rahimi
Masoud Rahimi
author_sort Mona Akbari
title Chitosan/tripolyphosphate nanoparticles in active and passive microchannels
title_short Chitosan/tripolyphosphate nanoparticles in active and passive microchannels
title_full Chitosan/tripolyphosphate nanoparticles in active and passive microchannels
title_fullStr Chitosan/tripolyphosphate nanoparticles in active and passive microchannels
title_full_unstemmed Chitosan/tripolyphosphate nanoparticles in active and passive microchannels
title_sort chitosan/tripolyphosphate nanoparticles in active and passive microchannels
publisher Wolters Kluwer Medknow Publications
series Research in Pharmaceutical Sciences
issn 1735-5362
1735-9414
publishDate 2021-01-01
description Background and purpose: In recent years, the interest in chitosan nanoparticles has increased due to their application, especially in drug delivery. The main aim of this work was to find a suitable method for simulating pharmaceutical nanoparticles with computational fluid dynamics (CFD) modeling and use it for understanding the process of nanoparticle formation in different types of microchannels. Experimental approach: Active and passive microchannels were compared to find the advantages and disadvantages of each system. Twenty-eight experiments were done on microchannels to quantify the effect of 4 parameters and their interactions on the size and polydispersity index (PDI) of nanoparticles. CFD was implemented by coupling reactive kinetics and the population balance method to simulate the synthesis of chitosan/tripolyphosphate nanoparticles in the microchannel. Findings/Results: The passive microchannel had the best performance for nanoparticle production. The most uniform microspheres and the narrowest standard deviation (124.3 nm, PDI = 0.112) were achieved using passive microchannel. Compared to the active microchannel, the size and PDI of the nanoparticles were 28.7% and 70.5% higher for active microchannels, and 55.43% and 105.3% higher for simple microchannels, respectively. Experimental results confirmed the validity of CFD modeling. The growth and nucleation rates were determined using the reaction equation of chitosan and tripolyphosphate. Conclusion and implications: CFD modeling by the proposed method can play an important role in the prediction of the size and PDI of chitosan/tripolyphosphate nanoparticles in the same condition and provide a new perspective for studying the production of nanoparticles by numerical methods.
topic cfd modeling; chitosan; microchannel; nanoparticles; population balance method
url http://www.rpsjournal.net/article.asp?issn=1735-5362;year=2021;volume=16;issue=1;spage=79;epage=93;aulast=Akbari
work_keys_str_mv AT monaakbari chitosantripolyphosphatenanoparticlesinactiveandpassivemicrochannels
AT zohrehrahimi chitosantripolyphosphatenanoparticlesinactiveandpassivemicrochannels
AT masoudrahimi chitosantripolyphosphatenanoparticlesinactiveandpassivemicrochannels
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