郭佳旭,康道斌,罗晓东,左睿,李德强.纤维素纳米晶体基智能手性光子材料的研究进展[J].中国造纸学报,2026,41(3):118-126 本文二维码信息
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纤维素纳米晶体基智能手性光子材料的研究进展
Research Progress on Smart Chiral Photonic Materials Based on Cellulose Nanocrystals
投稿时间:2026-03-03  修订日期:2026-03-19
DOI:10.11981/j.issn.1000-6842.2026.03.118
中文关键词:  纤维素纳米晶体  手性向列相  蒸发诱导自组装  色彩响应性
Key Words:cellulose nanocrystals  chiral nematic structure  evaporation-induced self-assembly  color responsiveness
基金项目:新疆青年拔尖人才-青年科技创新人才项目2023TSYCCX0039新疆青年拔尖人才-青年科技创新人才项目(2023TSYCCX0039)。
作者单位邮编
郭佳旭* 新疆农业大学化学化工学院,新疆乌鲁木齐,830052 830052
康道斌 新疆农业大学化学化工学院,新疆乌鲁木齐,830052 830052
罗晓东 新疆农业大学化学化工学院,新疆乌鲁木齐,830052 830052
左睿 新疆农业大学化学化工学院,新疆乌鲁木齐,830052 830052
李德强* 新疆农业大学化学化工学院,新疆乌鲁木齐,830052 830052
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中文摘要:
      纤维素纳米晶体(CNC)具有独特的纳米尺寸与高表面能,借助蒸发诱导自组装等工艺可构筑手性向列相(胆甾相)光子晶体材料,在智能传感、防伪领域具备良好的应用潜力。然而,组装速率不足、微观结构调控精度较低、功能改性体系单一等缺陷,限制了CNC基智能手性光子材料的应用场景。本文以“制备工艺-微观结构-宏观性能”构效关系为主线,系统归纳CNC手性向列相演变规律与关键影响因素,深入阐释分子插层产生的能量耗散机制、电荷屏蔽效应,以及2种作用对CNC基智能手性光子材料力学强度、色彩响应性能的调控机理;同时总结多参数协同优化以克服现有技术局限的可行思路,为CNC基智能手性光子材料在柔性穿戴、智能包装领域的工业化研发提供理论支撑。
Abstract:
      Cellulose nanocrystals (CNC) possess unique nanoscale dimensions and high surface energy. Through processes such as evaporation-induced self-assembly, CNC could be used to construct chiral nematic (cholesteric) photonic crystal materials, which held great potential for applications in smart sensing and anti-counterfeiting. However, limitations such as insufficient assembly rates, low precision in microstructural control, and a lack of diversity in functional modification systems had restricted the application scenarios of CNC-based smart chiral photonic materials. This paper took the structure-property relationship of “preparation process-microstructure-macroscopic performance” as the central theme to systematically summarize the evolution patterns and key influencing factors of the chiral nematic structure in CNC. It provided an in-depth explanation of the energy dissipation mechanism and charge shielding effect resulting from molecular intercalation, as well as the regulatory mechanisms of these two effects on the mechanical strength and color response performance of the CNC-based smart chiral photonic materials. Besides, this paper summarized feasible approaches for multi-parameter cooperative optimization to overcome the limitations of existing technologies, providing a theoretical foundation for the industrial research and development of CNC-based smart chiral photonic materials in the fields of flexible wearables and smart packaging.
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