Evidence map›Paper›PMID 36800044›Full record

ReviewDiscover nano2023

A review on microfluidic-assisted nanoparticle synthesis, and their applications using multiscale simulation methods.

Abdulrahman Agha, Waqas Waheed, Ion Stiharu, Vahé Nerguizian, Ghulam Destgeer, Eiyad Abu-Nada, Anas Alazzam

Open access · diamondAbstract readReview
In one paragraph

Review in Discover nano, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
12.7field-weighted citation impact, top 1% of its field
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

40 citing papers in PubMed, 116 citations in OpenAlex.

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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 at 4 institutions in 3 countries.

Abdulrahman AghaDepartment of Mechanical Engineering, Khalifa University, Abu Dhabi, UAE.
Waqas WaheedDepartment of Mechanical Engineering, Khalifa University, Abu Dhabi, UAE.
Ion StiharuConcordia University, Montreal, QC, Canada.
Vahé NerguizianÉcole de Technologie Supérieure ÉTS, Montreal, QC, Canada.
Ghulam DestgeerDepartment of Electrical Engineering, School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.
Eiyad Abu-NadaDepartment of Mechanical Engineering, Khalifa University, Abu Dhabi, UAE.
Anas AlazzamDepartment of Mechanical Engineering, Khalifa University, Abu Dhabi, UAE. anas.alazzam@ku.ac.ae.
Khalifa University of Science and Technology · AEConcordia University · CAÉcole de Technologie Supérieure · CATechnical University of Munich · DE

Funding

Khalifa University CIRA-2019-014
6 · The paper itself

Abstract

Recent years have witnessed an increased interest in the development of nanoparticles (NPs) owing to their potential use in a wide variety of biomedical applications, including drug delivery, imaging agents, gene therapy, and vaccines, where recently, lipid nanoparticle mRNA-based vaccines were developed to prevent SARS-CoV-2 causing COVID-19. NPs typically fall into two broad categories: organic and inorganic. Organic NPs mainly include lipid-based and polymer-based nanoparticles, such as liposomes, solid lipid nanoparticles, polymersomes, dendrimers, and polymer micelles. Gold and silver NPs, iron oxide NPs, quantum dots, and carbon and silica-based nanomaterials make up the bulk of the inorganic NPs. These NPs are prepared using a variety of top-down and bottom-up approaches. Microfluidics provide an attractive synthesis alternative and is advantageous compared to the conventional bulk methods. The microfluidic mixing-based production methods offer better control in achieving the desired size, morphology, shape, size distribution, and surface properties of the synthesized NPs. The technology also exhibits excellent process repeatability, fast handling, less sample usage, and yields greater encapsulation efficiencies. In this article, we provide a comprehensive review of the microfluidic-based passive and active mixing techniques for NP synthesis, and their latest developments. Additionally, a summary of microfluidic devices used for NP production is presented. Nonetheless, despite significant advancements in the experimental procedures, complete details of a nanoparticle-based system cannot be deduced from the experiments alone, and thus, multiscale computer simulations are utilized to perform systematic investigations. The work also details the most common multiscale simulation methods and their advancements in unveiling critical mechanisms involved in nanoparticle synthesis and the interaction of nanoparticles with other entities, especially in biomedical and therapeutic systems. Finally, an analysis is provided on the challenges in microfluidics related to nanoparticle synthesis and applications, and the future perspectives, such as large-scale NP synthesis, and hybrid formulations and devices.

Identifiers

PMID36800044
PMCPMC9936499
OpenAlexW4321165990

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.