Streit Jason K, Bachilo Sergei M, Sanchez Stephen R, Lin Ching-Wei, Weisman R Bruce
Department of Chemistry and the Smalley-Curl Institute and ‡Department of Materials Science and NanoEngineering, Rice University , 6100 Main Street, Houston, Texas 77005, United States.
J Phys Chem Lett. 2015 Oct 1;6(19):3976-81. doi: 10.1021/acs.jpclett.5b01835. Epub 2015 Sep 22.
Spectroscopic analysis and study of nanoparticle samples is often hampered by structural diversity that presents a complex superposition of spectral signatures. By probing the spectra of small volumes within dilute samples, we can expose statistical variations in composition to obtain information unavailable from bulk spectroscopy. This new approach is demonstrated using fluorescence spectra of unsorted single-walled carbon nanotube samples to deduce structure-specific abundances and emissive efficiencies. Furthermore, correlations between intensity variations at different wavelengths provide two-dimensional covariance maps that isolate the spectra of homogeneous subpopulations. Covariance analysis is also a sensitive probe of particle aggregation. It shows that well-dispersed nanotube samples can spontaneously form loose aggregates of a type not previously recognized. Variance spectroscopy is a simple and practical technique that should find application in many nanoparticle studies.
纳米颗粒样品的光谱分析和研究常常受到结构多样性的阻碍,这种结构多样性呈现出光谱特征的复杂叠加。通过探测稀释样品中微小体积的光谱,我们可以揭示组成的统计变化,以获取从整体光谱中无法获得的信息。使用未分类的单壁碳纳米管样品的荧光光谱来推断特定结构的丰度和发射效率,证明了这种新方法。此外,不同波长处强度变化之间的相关性提供了二维协方差图,可分离出均匀亚群的光谱。协方差分析也是颗粒聚集的灵敏探针。它表明,分散良好的纳米管样品可以自发形成一种以前未被认识到的松散聚集体。方差光谱是一种简单实用的技术,应在许多纳米颗粒研究中得到应用。