Suppr超能文献

纤维素纳米晶体增强疏水性酞菁绿在水中稳定性的机理及色浆功能特性研究

A Study on the Mechanism of Cellulose Nanocrystals to Enhance the Stability of Hydrophobic Phthalocyanine Green in Water and the Functional Characteristics of Colour Pastes.

作者信息

Lu Junliang, Xu Jun, Zhou Ziyong, Zhang Zhaohui, Li Jun, Zhang Wei, Chen Kefu

机构信息

Plant Fiber Material Science Research Center, State Key Laboratory of Pulp and Paper Engineering, South China University of Technology, Guangzhou 510640, China.

Shandong Sun Paper Industry Joint Stock, Jining 272100, China.

出版信息

Molecules. 2025 Jan 15;30(2):327. doi: 10.3390/molecules30020327.

Abstract

Cellulose nanocrystals (CNCs) prepared by sulfuric acid hydrolysis were added to phthalocyanine green colour pastes with a surfactant to improve stability. The particle size, zeta potential, absorbance, and microstructure of the colour pastes were analyzed and characterized. The mechanism of CNCs to enhance the stability of hydrophobic phthalocyanine green in water was investigated. The functionalized application of the colour pastes was explored by mixing colour pastes with coating-forming substances to prepare phthalocyanine green paint. The results show that CNCs could enhance the stability of phthalocyanine green in water and form a binary system with non-ionic surfactants in colour pastes. The system could make phthalocyanine green colour pastes have very good dispersion and stability and mix well with coating-forming substances. The phthalocyanine green paint had excellent performance. As a renewable and naturally degradable biomass resource, CNCs have the potential to be applied for the dispersion and stabilization of hydrophobic pigments by compounding with surfactants.

摘要

将通过硫酸水解制备的纤维素纳米晶体(CNCs)添加到含有表面活性剂的酞菁绿色浆中,以提高稳定性。对色浆的粒径、ζ电位、吸光度和微观结构进行了分析和表征。研究了CNCs增强疏水性酞菁绿在水中稳定性的机理。通过将色浆与成膜物质混合制备酞菁绿涂料,探索了色浆的功能化应用。结果表明,CNCs可以增强酞菁绿在水中的稳定性,并在色浆中与非离子表面活性剂形成二元体系。该体系可使酞菁绿色浆具有非常好的分散性和稳定性,并能与成膜物质很好地混合。酞菁绿涂料具有优异的性能。作为一种可再生且可自然降解的生物质资源,CNCs有潜力通过与表面活性剂复合应用于疏水性颜料的分散和稳定。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验