Areas of opportunity related to design of chemical and biological sensors based on liquid crystals
Areas of opportunity related to design of chemical and biological sensors based on liquid crystals
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DOI：
10.1080/1358314x.2020.1819624
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发表时间：
2020-01-01
影响因子：
3.1
通讯作者：
Abbott, Nicholas
中科院分区：
文献类型：
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作者：
Nayani, Karthik;Yang, Yu;Abbott, Nicholas
经过数十年的研究，包括液晶及其排列层的分子水平设计，以及在器件尺度上对液晶电光现象的阐明，液晶在光电显示中的社会影响才得以实现。用于显示器的lc的各向异性光学、机械和介电特性也使lc成为与化学和生物物种相互作用的卓越放大器，从而开辟了lc在依赖于来自传感器的信息的数据驱动的社会中发挥重要作用的可能性。在本文中，我们描述了为化学和生物传感量身定制的LC系统设计的持续努力，这些努力反映了几十年前LC光电显示器开发过程中LC设计和校准所面临的挑战和机遇。然而，现在，基于结构-属性关系的传统设计方法正在被数据驱动的方法（如机器学习）所补充。最近的研究也表明，计算化学可以大大提高发现化学反应的LC系统的速度。此外，LCs的非平衡状态对于设计生物传感器和更复杂的自主系统是有用的，这些系统将自我调节驱动与传感结合在一起。本文讨论了这些主题和其他主题，旨在突出未来研究的方法和目标，以实现基于lc的传感器的全部潜力。
The societal impact of liquid crystals (LCs) in electrooptical displays arrived after decades of research involving molecular-level design of LCs and their alignment layers, and elucidation of LC electrooptical phenomena at device scales. The anisotropic optical, mechanical and dielectric properties of LCs used in displays also make LCs remarkable amplifiers of their interactions with chemical and biological species, thus opening up the possibility that LCs may play an influential role in a data-driven society that depends on information coming from sensors. In this article, we describe ongoing efforts to design LC systems tailored for chemical and biological sensing, efforts that mirror the challenges and opportunities in LC design and alignment tackled several decades ago during development of LC electrooptical displays. Now, however, traditional design approaches based on structure-property relationships are being supplemented by data-driven methods such as machine learning. Recent studies also show that computational chemistry can greatly increase the rate of discovery of chemically responsive LC systems. Additionally, non-equilibrium states of LCs are being revealed to be useful for design of biological sensors and more complex autonomous systems that integrate self-regulated actuation along with sensing. These topics and others are addressed in this article with the aim of highlighting approaches and goals for future research that will realise the full potential of LC-based sensors.