Evidence map›Paper›PMID 39324290›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2024

A Novel Acoustic Modulation of Oscillating Thin Elastic Membrane for Enhanced Streaming in Microfluidics and Nanoscale Liposome Production.

Ali Pourabdollah Vardin, Faruk Aksoy, Gurkan Yesiloz

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Ali Pourabdollah VardinNational Nanotechnology Research Center (UNAM)- Bilkent University, Cankaya-Ankara, 06800, Türkiye.
Faruk AksoyNational Nanotechnology Research Center (UNAM)- Bilkent University, Cankaya-Ankara, 06800, Türkiye.
Gurkan YesilozNational Nanotechnology Research Center (UNAM)- Bilkent University, Cankaya-Ankara, 06800, Türkiye.ORCID 0000-0002-1769-8201

Funding

Scientific and Technological Research Council of Türkiye 2232-118C263
6 · The paper itself

Abstract

Liposomes are widely utilized in therapeutic nanosystems as promising drug carriers for cancer treatment, which requires a meticulous synthesis approach to control the nanoprecipitation process. Acoustofluidic platforms offer a favorable synthesis environment by providing robust agitation and rapid mixing. Here, a novel high-throughput acoustofluidic micromixer is presented for a solvent and solvent-free synthesis of ultra-small and size-tunable liposomes. The size-tunability is achieved by incorporating glycerol as a new technique into the synthesis reagents, serving as a size regulator. The proposed device utilizes the synergistic effects of vibrating trapped microbubbles and an oscillating thin elastic membrane to generate vigorous acoustic microstreaming. The working principle and mixing mechanism of the device are explored numerically and experimentally. The platform exhibits remarkable mixing efficacy for aqueous and viscous solutions at flow rates up to 8000 µL/h, which makes it unique for high-throughput liposome formation and preventing aggregation. As a proof of concept, this study investigates the impact of phospholipid type and concentration, flow rate, and glycerol on the size and size distribution of liposomes. The results reveal a significant size reduction, from ≈900 nm to 40 nm, achieved by merely introducing 75% glycerol into the synthesis reagents, highlighting an innovative approach toward size-tunable liposomes.

Indexed as

AcousticsLiposomesMicrofluidicsElasticityLiposomesacoustofluidicsdrug deliveryembedded microbubblesglycerolliposomesmembrane deformation

Identifiers

PMID39324290
PMCPMC11600698

What OpenQuestion holds

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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.