Department of Bioengineering, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
J Am Chem Soc. 2016 Aug 31;138(34):10887-96. doi: 10.1021/jacs.6b03907. Epub 2016 Aug 17.
Nanocrystals composed of mixed chemical domains have diverse properties that are driving their integration in next-generation electronics, light sources, and biosensors. However, the precise spatial distribution of elements within these particles is difficult to measure and control, yet profoundly impacts their quality and performance. Here we synthesized a unique series of 42 different quantum dot nanocrystals, composed of two chemical domains (CdS:CdSe), arranged in 7 alloy and (core)shell structural classes. Chemometric analyses of far-field Raman spectra accurately classified their internal structures from their vibrational signatures. These classifications provide direct insight into the elemental arrangement of the alloy as well as an independent prediction of fluorescence quantum yield. This nondestructive, rapid approach can be broadly applied to greatly enhance our capacity to measure, predict and monitor multicomponent nanomaterials for precise tuning of their structures and properties.
由混合化学畴组成的纳米晶体具有多种特性，这促使它们在下一代电子、光源和生物传感器中得到集成。然而，这些颗粒内元素的精确空间分布很难测量和控制，但却对它们的质量和性能有着深远的影响。在这里，我们合成了一系列独特的 42 种不同的量子点纳米晶体，它们由两种化学畴（CdS:CdSe）组成，排列在 7 种合金和（核）壳结构类型中。远场拉曼光谱的化学计量分析可以根据其振动特征准确地对其内部结构进行分类。这些分类不仅提供了对合金元素排列的直接了解，还可以独立预测荧光量子产率。这种非破坏性、快速的方法可以广泛应用于提高我们测量、预测和监测多组分纳米材料的能力，从而精确调整它们的结构和性能。
