Kubo Yuji
Department of Applied Chemistry, Graduate School of Urban Environmental Sciences, Tokyo Metropolitan University, 1-1 Minami-Osawa, Hachioji, Tokyo 192-0397, Japan.
Molecules. 2025 Apr 14;30(8):1748. doi: 10.3390/molecules30081748.
The optical sensing of chirality is widely used in many fields, such as pharmaceuticals, agriculture, food, and environmental materials. In this context, the color-based cascade amplification of chirality, coupled with chiral recognition for analytes, provides a low-cost and straightforward detection method that avoids the use of expensive and sophisticated instrumentation. However, the realization of chiral detection using this approach is still challenging because the construction of a three-dimensional optical recognition site is required to easily discern differences in chirality. Therefore, considerable efforts have been dedicated to developing a hierarchical approach based on molecular organization to provide colorimetric sensors for chirality detection. This review covers function-integrated molecular sensors with colorimetric responsive sites based on absorption, fluorescence, and aggregation-induced emission enabled by molecular organization. In line with the hierarchical approach, data-driven chemometrics is a useful method for quantitative and accurate chiral pattern recognition. Finally, colorimetric nanomaterials are discussed, focusing on sensing platforms using noble-metal nanoparticles, carbon dots, and photonic crystal gels.
手性的光学传感在许多领域有着广泛应用，如制药、农业、食品和环境材料等。在此背景下，基于颜色的手性级联放大，结合对分析物的手性识别，提供了一种低成本且直接的检测方法，避免了使用昂贵且复杂的仪器。然而，使用这种方法实现手性检测仍然具有挑战性，因为需要构建三维光学识别位点才能轻松辨别手性差异。因此，人们投入了大量精力来开发基于分子组装的分级方法，以提供用于手性检测的比色传感器。本综述涵盖了基于分子组装实现的具有基于吸收、荧光和聚集诱导发光的比色响应位点的功能集成分子传感器。与分级方法一致，数据驱动的化学计量学是一种用于定量和准确手性模式识别的有用方法。最后，讨论了比色纳米材料，重点是使用贵金属纳米颗粒、碳点和光子晶体凝胶的传感平台。
