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Cited by 340

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Acoustophoretic contactless transport and handling of matter in air

Open access
Foresti, Daniele, Nabavi, Majid, Klingauf, Mirko, Ferrari, Aldo, Poulikakos, Dimos·2013·Proceedings of the National Academy of Sciences

Abstract

Levitation and controlled motion of matter in air have a wealth of potential applications ranging from materials processing to biochemistry and pharmaceuticals. We present a unique acoustophoretic concept for the contactless transport and handling of matter in air. Spatiotemporal modulation of the levitation acoustic field allows continuous planar transport and processing of multiple objects, from near-spherical (volume of 0.1–10 μL) to wire-like, without being limited by the acoustic wavelength. The independence of the handling principle from special material properties (magnetic, optical, or electrical) is illustrated with a wide palette of application experiments, such as contactless droplet coalescence and mixing, solid–liquid encapsulation, absorption, dissolution, and DNA transfection. More than a century after the pioneering work of Lord Rayleigh on acoustic radiation pressure, a path-breaking concept is proposed to harvest the significant benefits of acoustic levitation in air.

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Metadata

Authors
Foresti, D., Nabavi, M., Klingauf, M., Ferrari, A., & Poulikakos, D.
Venue
Proceedings of the National Academy of Sciences
Published
2013-07-15
Volume
110
Issue
31
Pages
12549-12554
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W4237768057
Cited by
340
References
0
FWCI
12.40
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Acoustophoretic contactless transport and handling of matter in air. https://app.cochat.ai/papers/10.1073/pnas.1301860110
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Foresti, D., Nabavi, M., Klingauf, M., Ferrari, A., & Poulikakos, D. (2013). Acoustophoretic contactless transport and handling of matter in air. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1301860110

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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.