Menglu Li,Tian Tian,Yujing Zeng,Sha Zhu,Jianyang Lu,Jie Yang,Chao Li,Yongmei Yin,Genxi Li
Fingerprint formed through lifted papillary ridges is considered the best reference for personal identification. However, the currently available latent fingerprint (LFP) images often suffer from poor resolution, have a low degree of information, and require multifarious steps for identification. Herein, an individual Cloud-based fingerprint operation platform has been designed and fabricated to achieve high-definition LFPs analysis by using CsPbBr3 perovskite nanocrystals (NCs) as eikonogen. Moreover, since CsPbBr3 NCs have a special response to some fingerprint-associated amino acids, the proposed platform can be further used to detect metabolites on LFPs. Consequently, in virtue of Cloud computing and artificial intelligence (AI), this study has demonstrated a champion platform to realize the whole LFP identification analysis. In a double-blind simulative crime game, the enhanced LFP images can be easily obtained and used to lock the suspect accurately within one second on a smartphone, which can help investigators track the criminal clue and handle cases efficiently.
Flexible sensors which are highly stretchable, sensitive, and self-adhesive are critically required for wearable electronics, personalized healthcare monitoring and electronic skins. Conductive hydrogel-based sensors hold great promises for this purpose. However, it remains a critical challenge to integrate all the critical functions ( e.g. , remarkable stretchability, high sensitivity, and self-adhesiveness) into one hydrogel. Here, we propose a bio-inspired hybrid hydrogel framework with a hierarchical configuration that incorporates sodium casein, polydopamine, calcium chloride, and graphene oxide into a polyacrylamide hydrogel. Multiple interpenetrating network architectures and their strong interactions provide superior stretchability of 10,300%, high strain sensitivity with a gauge factor of 13.45 over a broad strain range, robust adhesiveness, fast responsiveness, and excellent reproducibility. This hydrogel-based wearable sensor demonstrates outstanding sensing performance in detecting, quantifying, and remotely monitoring human motions through integration into a cloud platform. A durable glove is further developed using the hybrid hydrogel for wirelessly controlling synchronized motions of a manipulator and accurately recognizing hand gestures. This hybrid hydrogel has shown wide-range applications in fields including wearable electronics, human–machine interfaces, and electronic skins.
危险品化学品经营许可证（带存储）