Ostertag Blaise J, Ross Ashley E
University of Cincinnati, Department of Chemistry, Cincinnati, Ohio 45221-0172, United States of America.
ECS Sens Plus. 2023 Dec 1;2(4):043601. doi: 10.1149/2754-2726/ad15a2. Epub 2023 Dec 27.
Carbon-based sensors have remained critical materials for electrochemical detection of neurochemicals, rooted in their inherent biocompatibility and broad potential window. Real-time monitoring using fast-scan cyclic voltammetry has resulted in the rise of minimally invasive carbon fiber microelectrodes as the material of choice for making measurements in tissue, but challenges with carbon fiber's innate properties have limited its applicability to understudied neurochemicals. Here, we provide a critical review of the state of carbon-based real-time neurochemical detection and offer insight into ways we envision addressing these limitations in the future. This piece focuses on three main hinderances of traditional carbon fiber based materials: diminished temporal resolution due to geometric properties and adsorption/desorption properties of the material, poor selectivity/specificity to most neurochemicals, and the inability to tune amorphous carbon surfaces for specific interfacial interactions. Routes to addressing these challenges could lie in methods like computational modeling of single-molecule interfacial interactions, expansion to tunable carbon-based materials, and novel approaches to synthesizing these materials. We hope this critical piece does justice to describing the novel carbon-based materials that have preceded this work, and we hope this review provides useful solutions to innovate carbon-based material development in the future for individualized neurochemical structures.
碳基传感器一直是用于神经化学物质电化学检测的关键材料,这源于其固有的生物相容性和较宽的电位窗口。使用快速扫描循环伏安法进行实时监测,使得微创碳纤维微电极成为在组织中进行测量的首选材料,但碳纤维固有特性带来的挑战限制了其在研究较少的神经化学物质方面的应用。在此,我们对碳基实时神经化学检测的现状进行了批判性综述,并深入探讨了我们认为未来解决这些局限性的方法。本文重点关注传统碳纤维基材料的三个主要障碍:由于材料的几何特性以及吸附/解吸特性导致时间分辨率降低、对大多数神经化学物质的选择性/特异性较差,以及无法针对特定界面相互作用对非晶碳表面进行调节。解决这些挑战的途径可能在于单分子界面相互作用的计算建模、扩展到可调谐碳基材料以及合成这些材料的新方法等。我们希望这篇批判性文章能够恰当地描述在这项工作之前的新型碳基材料,并且希望这篇综述为未来针对个性化神经化学结构创新碳基材料开发提供有用的解决方案。