Lyu Quanqian, Li Miaomiao, Zhang Lianbin, Zhu Jintao
State Key Laboratory of Material Processing and Die & Mould Technology and School of Chemistry and Chemical Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China.
Nat Commun. 2024 Sep 28;15(1):8419. doi: 10.1038/s41467-024-52794-5.
Polymeric adhesives are critical in many applications, from daily life to implantable devices and soft robotics. Monitoring adhesion in a real-time and convenient manner before premature failure is essential yet challenging. Herein, we present structurally-colored adhesives for sensitive, high-resolution, and non-invasive adhesion self-monitoring via distinct color change for detecting subtle deformation and debonding. The structurally-colored adhesives are designed by integrating one-dimensional photonic nanochains into exemplified acrylate-copolymer-based adhesives and demonstrate distinct color-changing capability through a unique tilting mechanism of nanochains under shear. Our structurally-colored adhesives can be customized as pressure-sensitive and structural adhesives, exhibiting ultrafast response (<60 ms), high sensitivity, and high resolution (~120 μm). Moreover, predicting adhesion states and premature failure can be achieved assisted by imaging systems and machine learning algorithms with an average accuracy of up to 97.2%. Our structurally-colored adhesives are expected to offer a practical paradigm for structural health monitoring in the Internet of Things era.
聚合物粘合剂在许多应用中都至关重要,从日常生活到可植入设备和软体机器人。在过早失效之前以实时且便捷的方式监测粘附力至关重要但具有挑战性。在此,我们展示了结构色粘合剂,用于通过独特的颜色变化进行敏感、高分辨率和非侵入性的粘附力自我监测,以检测细微变形和脱粘。通过将一维光子纳米链整合到基于丙烯酸酯共聚物的典型粘合剂中设计出结构色粘合剂,并通过纳米链在剪切作用下独特的倾斜机制展示出独特的变色能力。我们的结构色粘合剂可定制为压敏粘合剂和结构粘合剂,具有超快响应(<60毫秒)、高灵敏度和高分辨率(~120微米)。此外,借助成像系统和机器学习算法可以预测粘附状态和过早失效,平均准确率高达97.2%。我们的结构色粘合剂有望为物联网时代的结构健康监测提供一种实用范例。