CAS Key Laboratory of Urban Pollutant Conversion, Department of Applied Chemistry, University of Science & Technology of China, Hefei, 230026, China.
Center for Biosensors and Bioelectronics, Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA.
Angew Chem Int Ed Engl. 2019 Mar 22;58(13):4217-4220. doi: 10.1002/anie.201813567. Epub 2019 Feb 19.
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.
光学成像技术的发展使得单纳米粒子跟踪和分析取得了重大进展，但这些技术无法实现无标记的选择性纳米粒子识别。本文提出了一种能够在水中识别不同种类纳米粒子的无标记等离子体成像技术。该技术对纳米粒子的等离子体干涉散射模式进行定量分析，并通过数值和实验的方式建立折射率、粒径和模式之间的关系。利用该方法，无需任何校准即可区分不同半径的金属和金属氧化物颗粒。这种能够光学识别和测量不同种类纳米粒子的能力为研究复杂环境中的纳米粒子提供了一个很有前途的平台，有助于纳米科学研究，如单纳米粒子催化和基于纳米粒子的药物输送。
