Progress and prospect of biomimetic optical materials: A review

Dashuang Wang , Tuo Ping , Zhilan Du , Tingye Liu , Yuxin Zhang
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Abstract

Recent advances in bionic optical materials (BOMs) are systematically reviewed, emphasizing bioinspired strategies derived from natural models such as plant epidermis, aquatic organisms, avian plumage, and insect photonic architectures (e.g., butterfly wings and inverse opal structures). These biological systems exhibit sophisticated light manipulation mechanisms, including absorption, scattering, and structural coloration, which have guided the design of novel extinction materials with tunable optical properties. By mimicking hierarchical structures and dynamic light-regulation principles, researchers have developed BOMs exhibiting exceptional broadband extinction performance. Notably, applications in optical sensing and imaging systems are critically discussed, highlighting their role in enhancing camera sensitivity and adaptive optical sensor design. Furthermore, this review identifies emerging trends in nanofabrication, machine learning-assisted optimization, and biohybrid material systems. The integration of cross-disciplinary approaches is projected to accelerate the development of multifunctional BOMs, paving the way for breakthroughs in adaptive optics, environmental monitoring, and intelligent photonic devices. In the future, the integration of BOMs and distributed fiber optic sensing technology is expected to realize the whole-life optical monitoring of pile foundation structural health, and promote the development of geotechnical engineering in the direction of intelligence and high precision.
仿生光学材料的研究进展与展望
本文系统地回顾了仿生光学材料(BOMs)的最新进展,强调了从植物表皮、水生生物、鸟类羽毛和昆虫光子结构(如蝴蝶翅膀和反蛋白石结构)等自然模型中获得的生物灵感策略。这些生物系统表现出复杂的光操纵机制,包括吸收、散射和结构着色,这指导了具有可调谐光学特性的新型消光材料的设计。通过模拟分层结构和动态光调节原理,研究人员已经开发出具有卓越宽带消光性能的bom。值得注意的是,在光学传感和成像系统的应用进行了批判性的讨论,突出了它们在提高相机灵敏度和自适应光学传感器设计中的作用。此外,本综述确定了纳米制造、机器学习辅助优化和生物混合材料系统的新兴趋势。预计跨学科方法的整合将加速多功能bom的发展,为自适应光学、环境监测和智能光子器件的突破铺平道路。未来,bm与分布式光纤传感技术的融合有望实现桩基结构健康的全寿命光监测,推动岩土工程向智能化、高精度方向发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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