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方差光谱中的偏度分析用于测量纳米颗粒个体化。

Skewness Analysis in Variance Spectroscopy Measures Nanoparticle Individualization.

作者信息

Sanchez Stephen R, Bachilo Sergei M, Kadria-Vili Yara, Weisman R Bruce

机构信息

Department of Chemistry and the Smalley-Curl Institute, Rice University , 6100 Main Street, Houston, Texas 77005, United States.

Department of Materials Science and NanoEngineering, Rice University , 6100 Main Street, Houston, Texas 77005, United States.

出版信息

J Phys Chem Lett. 2017 Jul 6;8(13):2924-2929. doi: 10.1021/acs.jpclett.7b01184. Epub 2017 Jun 14.

Abstract

An important enabling step in nanoparticle studies is the sorting of heterogeneous mixtures to prepare structurally homogeneous samples. It is also necessary to detect and monitor aggregation of the individual nanoparticles. Although variance spectroscopy provides a simple optical method for finding low concentrations of heteroaggregates in samples such as single-walled carbon nanotube dispersions, it cannot detect the homoaggregates that are relevant for well-sorted samples. Here we demonstrate that variance spectral data can be further analyzed to find third moments of intensity distributions (skewness), which reveal the presence of emissive homoaggregates. Using experimental measurements on variously processed nanotube dispersions, we deduce a simple numerical standard for recognizing aggregation in the highly sorted samples that are increasingly available to nanoscience researchers.

摘要

纳米颗粒研究中的一个重要促成步骤是对异质混合物进行分类,以制备结构均匀的样品。检测和监测单个纳米颗粒的聚集情况也很有必要。虽然方差光谱提供了一种简单的光学方法,用于在单壁碳纳米管分散体等样品中检测低浓度的异质聚集体,但它无法检测与分类良好的样品相关的同质聚集体。在这里,我们证明可以进一步分析方差光谱数据,以找到强度分布的三阶矩(偏度),这揭示了发光同质聚集体的存在。通过对各种处理过的纳米管分散体进行实验测量,我们推导出了一个简单的数值标准,用于识别纳米科学研究人员越来越容易获得的高度分类样品中的聚集情况。

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