Evidence map›Paper›PMID 31798663›Full record

ArticleResearch in pharmaceutical sciences2019

Microfluidic-assisted preparation of PLGA nanoparticles for drug delivery purposes: experimental study and computational fluid dynamic simulation.

Parisa Shokoohinia, Marziyeh Hajialyani, Komail Sadrjavadi, Mona Akbari, Masoud Rahimi, Salar Khaledian, Ali Fattahi

Abstract read
In one paragraph

Article in Research in pharmaceutical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  11. A Review of Microfluidic Experimental Designs for Nanoparticle Synthesis.International journal of molecular sciences · 2022
    Review
  12. Article
  13. Article
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  16. Article
  17. Dual Functional EudragitInternational journal of nanomedicine · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Parisa ShokoohiniaStudent Research Committee, Kermanshah University of Medical Sciences, Kermanshah, I.R. Iran.
Marziyeh HajialyaniPharmaceutical Sciences Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, I.R. Iran.
Komail SadrjavadiPharmaceutical Sciences Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, I.R. Iran.
Mona AkbariCFD Research Center, Department of Chemical Engineering, Faculty of Engineering, Razi University, Kermanshah, I.R. Iran.
Masoud RahimiCFD Research Center, Department of Chemical Engineering, Faculty of Engineering, Razi University, Kermanshah, I.R. Iran.
Salar KhaledianNano Drug Delivery Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, I.R. Iran.
Ali FattahiPharmaceutical Sciences Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, I.R. Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study, for the first time, tries to provide a simultaneous experimental and computational fluid dynamic (CFD) simulation investigation for production of uniform, reproducible, and stable polylactic-co-glycolic acid (PLGA) nanoparticles. CFD simulation was carried out to observe fluid flow behavior and micromixing in microfluidic system and improve our understanding about the governing fluid profile. The major objective of such effort was to provide a carrier for controlled and sustained release profile of different drugs. Different experimental parameters were optimized to obtain PLGA nanoparticles with proper size and minimized polydispersity index. The particle size, polydispersity, morphology, and stability of nanoparticles were compared. Microfluidic system provided a platform to control over the characteristics of nanoparticles. Using microfluidic system, the obtained particles were more uniform and harmonious in size, more stable, monodisperse and spherical, while particles produced by batch method were non-spherical and polydisperse. The best size and polydispersity index in the microfluidic method was obtained using 2% PLGA and 0.0625% (w/v) polyvinyl alcohol (PVA) solutions, and the flow rate ratio of 10:0.6 for PVA and PLGA solutions. CFD simulation demonstrated the high mixing intensity of about 0.99 at optimum condition in the microfluidic system, which is the possible reason for advantageous performance of this system. Altogether, the results of microfluidic-assisted method were found to be more reproducible, predictable, and controllable than batch method for producing a nanoformulation for delivery of drugs.

Indexed as

Computational fluid dynamicMicrofluidicsNanoparticlesNanoprecipitationPolylactic-coglycolicacid

Identifiers

PMID31798663
PMCPMC6827194

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.