Evidence map›Paper›PMID 37306477›Full record

ArticleACS nano2023

Formation of Protein Nanoparticles in Microdroplet Flow Reactors.

Qi Zhang, Zenon Toprakcioglu, Akhila K Jayaram, Guangsheng Guo, Xiayan Wang, Tuomas P J Knowles

Abstract read
In one paragraph

Article in ACS nano, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
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  4. Article
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  7. Article
  8. Review
  9. Dynamic Flow-Assisted Nanoarchitectonics.ACS applied materials & interfaces · 2025
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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

6 authors.

Qi ZhangDepartment of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, U.K.
Zenon ToprakciogluDepartment of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, U.K.ORCID 0000-0003-1964-8432
Akhila K JayaramDepartment of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, U.K.
Guangsheng GuoCenter of Excellence for Environmental Safety and Biological Effects, Beijing Key Laboratory for Green Catalysis and Separation, Department of Chemistry, Beijing University of Technology, Beijing 100124, People's Republic of China.
Xiayan WangCenter of Excellence for Environmental Safety and Biological Effects, Beijing Key Laboratory for Green Catalysis and Separation, Department of Chemistry, Beijing University of Technology, Beijing 100124, People's Republic of China.ORCID 0000-0003-1735-0077
Tuomas P J KnowlesDepartment of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, U.K.ORCID 0000-0002-7879-0140

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoparticles are increasingly being used for biological applications, such as drug delivery and gene transfection. Different biological and bioinspired building blocks have been used for generating such particles, including lipids and synthetic polymers. Proteins are an attractive class of material for such applications due to their excellent biocompatibility, low immunogenicity, and self-assembly characteristics. Stable, controllable, and homogeneous formation of protein nanoparticles, which is key to successfully delivering cargo intracellularly, has been challenging to achieve using conventional methods. In order to address this issue, we employed droplet microfluidics and utilized the characteristic of rapid and continuous mixing within microdroplets in order to produce highly monodisperse protein nanoparticles. We exploit the naturally occurring vortex flows within microdroplets to prevent nanoparticle aggregation following nucleation, resulting in systematic control over the particle size and monodispersity. Through combination of simulation and experiment, we find that the internal vortex velocity within microdroplets determines the uniformity of the protein nanoparticles, and by varying parameters such as protein concentration and flow rates, we are able to finely tune nanoparticle dimensional properties. Finally, we show that our nanoparticles are highly biocompatible with HEK-293 cells, and through confocal microscopy, we determine that the nanoparticles fully enter into the cell with almost all cells containing them. Due to the high throughput of the method of production and the level of control afforded, we believe that the approach described in this study for generating monodisperse protein-based nanoparticles has the potential for intracellular drug delivery or for gene transfection in the future.

Indexed as

NanoparticlesDrug Delivery SystemsHEK293 CellsHumansMicrofluidicsPolymersPolymersbeta-lactoglobulinBovine serum albumindroplet microfluidicshigh-throughput nanoparticle formationintracellular deliveryprotein nanoparticlesregenerated silk fibroin

Identifiers

PMID37306477
PMCPMC10311583

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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.