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Separation: Acoustic Separation of Nanoparticles in Continuous Flow (Adv. Funct. Mater. 14/2017)
Author(s) -
Wu Mengxi,
Mao Zhangming,
Chen Kejie,
Bachman Hunter,
Chen Yuchao,
Rufo Joseph,
Ren Liqiang,
Li Peng,
Wang Lin,
Huang Tony Jun
Publication year - 2017
Publication title -
advanced functional materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.069
H-Index - 322
eISSN - 1616-3028
pISSN - 1616-301X
DOI - 10.1002/adfm.201770089
Subject(s) - materials science , nanoparticle , rendering (computer graphics) , nanotechnology , separation (statistics) , deflection (physics) , optics , computer science , artificial intelligence , physics , machine learning
Tony Jun Huang and co‐workers use a standing acoustic wave field to achieve size‐based separation of nanoparticles. As the researchers describe in article number 1606039, large particles experience stronger deflection than smaller ones. The method requires neither label, nor contact and applies a principle that is independent of particle charge, polarity or buffer conditions, rendering it particularly promising for biomedical applications.