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Microfluidic technologies for accelerating the clinical translation of nanoparticles

Open access
Valencia, Pedro M., Farokhzad, Omid C., Karnik, Rohit, Langer, Robert·2012·Nature Nanotechnology

Abstract

Using nanoparticles for therapy and imaging holds tremendous promise for the treatment of major diseases such as cancer. However, their translation into the clinic has been slow because it remains difficult to produce nanoparticles that are consistent ‘batch-to-batch’, and in sufficient quantities for clinical research. Moreover, platforms for rapid screening of nanoparticles are still lacking. Recent microfluidic technologies can tackle some of these issues, and offer a way to accelerate the clinical translation of nanoparticles. In this Progress Article, we highlight the advances in microfluidic systems that can synthesize libraries of nanoparticles in a well-controlled, reproducible and high-throughput manner. We also discuss the use of microfluidics for rapidly evaluating nanoparticles in vitro under microenvironments that mimic the in vivo conditions. Furthermore, we highlight some systems that can manipulate small organisms, which could be used for evaluating the in vivo toxicity of nanoparticles or for drug screening. We conclude with a critical assessment of the near- and long-term impact of microfluidics in the field of nanomedicine.

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Crossref · 10.1038/nnano.2012.168

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Metadata

Authors
Valencia, P. M., Farokhzad, O. C., Karnik, R., & Langer, R.
Venue
Nature Nanotechnology
Published
2012-10
Volume
7
Issue
10
Pages
623-629
ISSN
  • 1748-3387 (ISSN-L)
  • 1748-3395
OpenAlex
W2003741425
Cited by
698
References
5
FWCI
21.28
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Microfluidic technologies for accelerating the clinical translation of nanoparticles. https://app.cochat.ai/papers/10.1038/nnano.2012.168
The paper
Valencia, P. M., Farokhzad, O. C., Karnik, R., & Langer, R. (2012). Microfluidic technologies for accelerating the clinical translation of nanoparticles. Nature Nanotechnology. https://doi.org/10.1038/nnano.2012.168

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.