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利用汉森溶解度参数优化无机纳米材料的分散、剥离、合成及器件制造

Optimizing Dispersion, Exfoliation, Synthesis, and Device Fabrication of Inorganic Nanomaterials Using Hansen Solubility Parameters.

作者信息

Qin Jinwen, Wang Xin, Jiang Qiwang, Cao Minhua

机构信息

Key Laboratory of Cluster Science, Ministry of Education of China Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion Materials School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, 100081, P. R. China.

出版信息

Chemphyschem. 2019 May 3;20(9):1069-1097. doi: 10.1002/cphc.201900110. Epub 2019 Apr 11.

Abstract

Hansen solubility parameters (HSPs) were established by Hansen in 1967 and predict miscibility between different material systems. So far, HSP theory works across polymers, crystalline bulk solids and nanomaterials and can be used to identify single solvents or, more likely, blends of solvents that deliver not only the initial solubility but also control it during reaction processes. This minireview summarizes the recent progress on HSP theory to optimize dispersion, exfoliation, synthesis, and device fabrication of inorganic nanomaterials. First, we briefly introduce HSP theory and determination of HSPs. Then, we discuss in detail the utilization of HSPs for inorganic nanomaterials, focusing on carbon nanomaterials, two-dimensional non-graphene nanomaterials, and metal oxide nanoparticles. Finally, challenges and perspectives of HSP theory in inorganic nanomaterials are reviewed.

摘要

汉森溶解度参数(HSPs)由汉森于1967年提出,用于预测不同材料体系之间的混溶性。到目前为止,HSP理论适用于聚合物、结晶块状固体和纳米材料,可用于确定单一溶剂,或者更常见的是确定溶剂混合物,这些溶剂不仅能提供初始溶解度,还能在反应过程中对其进行控制。本综述总结了HSP理论在优化无机纳米材料的分散、剥离、合成及器件制造方面的最新进展。首先,我们简要介绍HSP理论及HSPs的测定方法。然后,我们详细讨论HSPs在无机纳米材料中的应用,重点关注碳纳米材料、二维非石墨烯纳米材料和金属氧化物纳米颗粒。最后,综述了HSP理论在无机纳米材料领域面临的挑战和前景。

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