Soft Matter Synthesis Laboratory, Institute for Biological Interfaces 3, Hermann-von-Helmholtz-Platz 1, 76344, Eggenstein Leopoldshafen, Germany.
Macromolecular Architectures, Institute for Technical Chemistry and Polymer Chemistry (ITCP), Karlsruhe Institute of Technology (KIT), Engesserstrasse 18, 76131, Karlsruhe, Germany.
Angew Chem Int Ed Engl. 2021 Aug 2;60(32):17290-17313. doi: 10.1002/anie.202012592. Epub 2021 Feb 26.
Self-reporting smart materials are highly relevant in modern soft matter materials science, as they allow for the autonomous detection of changes in synthetic polymers, materials, and composites. Despite critical advantages of such materials, for example, prolonged lifetime or prevention of disastrous material failures, they have gained much less attention than self-healing materials. However, as diagnosis is critical for any therapy, it is of the utmost importance to report the existence of system changes and their exact location to prevent them from spreading. Thus, we herein critically review the chemistry of self-reporting soft matter materials systems and highlight how current challenges and limitations may be overcome by successfully transferring self-reporting research concepts from the laboratory to the real world. Especially in the space of diagnostic self-reporting systems, the recent SARS-CoV-2 (COVID-19) pandemic indicates an urgent need for such concepts that may be able to detect the presence of viruses or bacteria on and within materials in a self-reporting fashion.
自报告智能材料在现代软物质材料科学中具有重要意义,因为它们允许自主检测合成聚合物、材料和复合材料的变化。尽管这些材料具有关键优势,例如延长使用寿命或防止灾难性的材料失效,但它们的关注度远低于自修复材料。然而,由于诊断对于任何治疗都至关重要,因此报告系统变化的存在及其确切位置以防止其扩散至关重要。因此,我们在此批判性地回顾了自报告软物质材料系统的化学,并强调了如何通过成功地将自报告研究概念从实验室转移到现实世界来克服当前的挑战和局限性。特别是在诊断自报告系统领域,最近的 SARS-CoV-2(COVID-19)大流行表明,人们迫切需要这些概念,这些概念能够以自报告的方式检测材料表面和内部病毒或细菌的存在。