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理解驱动表面胶体纳米颗粒模板导向自组装的相互作用。

Understanding Interactions Driving the Template-Directed Self-Assembly of Colloidal Nanoparticles at Surfaces.

作者信息

Eklöf-Österberg Johnas, Löfgren Joakim, Erhart Paul, Moth-Poulsen Kasper

机构信息

Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg 41296, Sweden.

Department of Physics, Chalmers University of Technology, Gothenburg 41296, Sweden.

出版信息

J Phys Chem C Nanomater Interfaces. 2020 Feb 27;124(8):4660-4667. doi: 10.1021/acs.jpcc.0c00710. Epub 2020 Feb 4.

DOI:10.1021/acs.jpcc.0c00710
PMID:32140202
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7050997/
Abstract

Controlled deposition of colloidal nanoparticles using self-assembly is a promising technique for, for example, manufacturing of miniaturized electronics, and it bridges the gap between top-down and bottom-up methods. However, selecting materials and geometry of the target surface for optimal deposition results presents a significant challenge. Here, we describe a predictive framework based on the Derjaguin-Landau-Verwey-Overbeek theory that allows rational design of colloidal nanoparticle deposition setups. The framework is demonstrated for a model system consisting of gold nanoparticles stabilized by trisodium citrate that are directed toward prefabricated sub-100 nm features on a silicon substrate. Experimental results for the model system are presented in conjunction with theoretical analysis to assess its reliability. It is shown that three-dimensional, nickel-coated structures are well suited for attracting gold nanoparticles and that optimization of the feature geometry based on the proposed framework leads to a systematic improvement in the number of successfully deposited particles.

摘要

利用自组装进行胶体纳米颗粒的可控沉积是一种很有前景的技术,例如可用于制造小型化电子产品,它弥合了自上而下和自下而上方法之间的差距。然而,选择目标表面的材料和几何形状以获得最佳沉积结果是一项重大挑战。在此,我们描述了一种基于德亚金-朗道-韦弗伊-奥弗贝克理论的预测框架,该框架允许对胶体纳米颗粒沉积装置进行合理设计。该框架在一个模型系统中得到了验证,该模型系统由柠檬酸钠稳定的金纳米颗粒组成,这些颗粒被引导至硅基片上预制的亚100纳米特征处。给出了该模型系统的实验结果,并结合理论分析来评估其可靠性。结果表明,三维镍涂层结构非常适合吸引金纳米颗粒,并且基于所提出的框架对特征几何形状进行优化会导致成功沉积颗粒数量的系统性增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0da/7050997/7aa03c93306e/jp0c00710_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0da/7050997/f9818bf16707/jp0c00710_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0da/7050997/e76742754275/jp0c00710_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0da/7050997/82deef5a39c4/jp0c00710_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0da/7050997/40a33e75a32b/jp0c00710_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0da/7050997/9f4121c2471d/jp0c00710_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0da/7050997/7aa03c93306e/jp0c00710_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0da/7050997/f9818bf16707/jp0c00710_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0da/7050997/e76742754275/jp0c00710_0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0da/7050997/82deef5a39c4/jp0c00710_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0da/7050997/40a33e75a32b/jp0c00710_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0da/7050997/9f4121c2471d/jp0c00710_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0da/7050997/7aa03c93306e/jp0c00710_0003.jpg

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本文引用的文献

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