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Evolution of the surface energy of BaTiO3 nanoparticles in the course of dispersant coating: An inverse gas chromatography study

反相气相色谱法 表面能 涂层 材料科学 热重分析 硬脂酸 纳米颗粒 化学工程 表面改性 气相色谱法 傅里叶变换红外光谱 漫反射红外傅里叶变换 分析化学(期刊) 纳米技术 化学 色谱法 复合材料 有机化学 光催化 工程类 催化作用
作者
Young Nam Hwang,Hyungkyu Kim,Young-Ju Lee,Seong‐Chan Park
出处
期刊:Colloids and Surfaces A: Physicochemical and Engineering Aspects [Elsevier BV]
卷期号:674: 131888-131888 被引量:5
标识
DOI:10.1016/j.colsurfa.2023.131888
摘要

Understanding the surface energy characteristics of nanoparticles is crucial for controlling their stability, dispersion, and subsequent material properties. In this study, we employed inverse gas chromatography (IGC) to investigate the changes in surface energy and its homogeneity of BaTiO3 nanoparticles during coating with a model dispersant, stearic acid (SA), at various coverage levels. The IGC results revealed that the SA coating led to a more stable and homogeneous dispersive surface energy, enhancing the overall stability of the nanoparticles. However, it also introduced heterogeneity in the specific surface energy, with a notable shift towards higher levels. The observed evolution of surface energy characteristics was consistent with trends of the adlayer formation as determined through conventional surface characterization techniques, including thermogravimetric analysis-gas chromatography mass spectrometry and diffuse reflectance infrared Fourier transform spectroscopy. The combined approach of IGC and conventional techniques suggested that the changes in surface energy characteristics were associated with the formation of a disordered organic adlayer through SA chemisorption at various surface sites on crystalline facets with diverse coordination configurations. This highlights the potential of IGC as a powerful monitoring tool for investigating molecular coatings on ceramic nanopowders. It enables not only the quantification of average surface states but also provides insights into their distribution, which is not practically achievable through other surface characterization techniques.
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