Identification of Nanoparticles via Plasmonic Scattering Interferometry

The development of optical imaging techniques has led to significant advancements in single‐nanoparticle tracking and analysis, but these techniques are incapable of label‐free selective nanoparticle recognition. A label‐free plasmonic imaging technology that is able to identify different kinds of n...

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Bibliographic Details
Published in:Angewandte Chemie International Edition 2019-03, Vol.58 (13), p.4217-4220
Main Authors: Qian, Chen, Wu, Gang, Jiang, Di, Zhao, Xiaona, Chen, Hai‐Bo, Yang, Yunze, Liu, Xian‐Wei
Format: Article
Language:English
Subjects:
Calibration
Catalysis
Drug delivery
Drug delivery systems
Imaging techniques
Interferometry
Nanoparticles
Nanotechnology
plasmonic imaging
refractive index
Refractivity
Scattering
surface plasmon resonance
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Summary:The development of optical imaging techniques has led to significant advancements in single‐nanoparticle tracking and analysis, but these techniques are incapable of label‐free selective nanoparticle recognition. A label‐free plasmonic imaging technology that is able to identify different kinds of nanoparticles in water is now presented. It quantifies the plasmonic interferometric scattering patterns of nanoparticles and establishes relationships among the refractive index, particle size, and pattern both numerically and experimentally. Using this approach, metallic and metallic oxide particles with different radii were distinguished without any calibration. The ability to optically identify and size different kinds of nanoparticles can provide a promising platform for investigating nanoparticles in complex environments to facilitate nanoscience studies, such as single‐nanoparticle catalysis and nanoparticle‐based drug delivery. Easy identification: Nanoparticles with different compositions and radii were identified by precisely quantifying the plasmonic interferometric scattering patterns of nanoparticles. This technique can be used to investigate nanoparticles in a complex environment.
ISSN:1433-7851
1521-3773
DOI:10.1002/anie.201813567