Programming Multistate Aggregation‐Induced Emissive Polymeric Hydrogel into 3D Structures for On‐Demand Information Decryption and Transmission

Autor: Huizhen Yan, Huiyu Qiu, Jiawei Zhang, Si Wu, Hao Liu, Tao Chen, Wei Lu, Beibei Zhan, Shuxin Wei
Rok vydání: 2021
Předmět:
Zdroj: Advanced Intelligent Systems, Vol 3, Iss 6, Pp n/a-n/a (2021)
ISSN: 2640-4567
DOI: 10.1002/aisy.202000239
Popis: Fluorescent hydrogels have recently become one of the most prominent materials for smart confidential information protection. But it is still quite challenging to develop a 3D anticounterfeiting platform with on‐demand information decryption and transmission capacities, which are of great importance to achieve high‐level data protection security. Herein, robust aggregation‐induced emissive polymeric hydrogels with thermo‐triggered multistate fluorescence switching, shape memory, and self‐healing properties based on supramolecular dynamic lanthanide coordination interactions are presented. By a collective action of these promising properties, a fluorescent hydrogel‐based 3D information encoding platform is demonstrated for on‐demand information decryption, in which information pre‐encrypted in 3D hydrogel structures is stepwise decrypted by the control of external stimuli. Such unique on‐demand information decryption features are further expanded to the transmission of manifold customized messages to multiple receivers. Herein, the possibility of utilizing 3D fluorescent hydrogel structures for high‐level information encryption and on‐demand decryption is opened up.
Databáze: OpenAIRE