CEST Competence Center for Electrochemical Surface Technology, Tulln, Austria; University of Lille, CNRS, Centrale Lille, Université Polytechnique Hauts-de-France, UMR 8520-IEMN, Lille, France; AIT Austrian Institute of Technology GmbH, Biosensor Technologies, Tulln, Austria.
University of Lille, CNRS, Centrale Lille, Université Polytechnique Hauts-de-France, UMR 8520-IEMN, Lille, France.
Methods Enzymol. 2020;642:371-401. doi: 10.1016/bs.mie.2020.05.016. Epub 2020 Jul 20.
Olfaction is capable of accomplishing incredible tasks: it starts with capturing an odor molecule, delivering it to the odorant receptors, converting it into an electrical stimulus and transmitting the data to the brain. And all of this in milliseconds. The sense of smell is not yet fully decoded and is far from being replicated by modern sensor technologies. One approach to convert biological recognition- and binding events in real-time and in a label-free manner to electrical signals is emulated in a "biomimetic electronic smell sensor". It is based on a transistor, in many cases realized as a field-effect transistor (FET) with a biorecognition element, e.g., an odorant binding protein (OBP) converting the binding event of one of its typically many ligands directly into a measurable electrical signal. OBPs are immobilized on these FETs and modulate the current in the presence of smell molecules due to the charge redistribution in the gated channel. Graphene is an elegant candidate to realize such a sensor device because an atomic monolayer of a semiconducting material leads to increased sensitivity. Beside the direct molecule interaction with the substrate upon binding and its excellent biocompatible character, graphene has the advantage of a biological-friendly working point in the sub-Volt regime. Different approaches of preparation and functionalization of graphene field-effect transistors (gFETs) are utilized to tune the performance for odorant sensing. The evaluation of kinetic binding parameters like association and dissociation rate constants and the equilibrium affinity constants of protein-ligand interactions can be derived from the direct electrical read-out of such miniaturized sensor systems. In this article, the state of the art of gFET preparation, functionalization, and operation for odorant sensing will be discussed.
它从捕捉气味分子开始,将其传递到气味受体,将其转化为电刺激,并将数据传输到大脑。所有这一切都在毫秒内完成。嗅觉尚未完全解码,远未被现代传感器技术复制。将生物识别和结合事件实时、无标记地转换为电信号的一种方法是在“仿生电子气味传感器”中模拟的。它基于晶体管,在许多情况下是作为场效应晶体管 (FET) 实现的,具有生物识别元件,例如气味结合蛋白 (OBP),它将其典型的许多配体之一的结合事件直接转化为可测量的电信号。OBP 固定在这些 FET 上,并由于栅极通道中的电荷重新分布,在存在气味分子的情况下调制电流。由于半导体材料的原子单层导致灵敏度提高,因此石墨烯是实现这种传感器器件的一种优雅候选材料。除了在结合时与基底的直接分子相互作用及其优异的生物相容性外,石墨烯还具有在亚伏特范围内工作的生物友好型工作点的优势。通过不同的方法制备和功能化石墨烯场效应晶体管 (gFET),可以调整其性能以进行气味感应。可以从这种小型化传感器系统的直接电读取中得出动力学结合参数(如缔合和离解速率常数以及蛋白质-配体相互作用的平衡亲和力常数)的评估。本文将讨论用于气味感应的 gFET 制备、功能化和操作的最新技术。