AIT Austrian Institute of Technology GmbH, Biosensor Technologies, Muthgasse 11, 1190 Vienna, Austria.
INIFTA Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas (INIFTA) - Departamento de Química, Facultad de Ciencias Exactas, Universidad Nacional de La Plata - CONICET, Suc. 4, CC 16, La Plata, Argentina.
Biosens Bioelectron. 2018 Sep 15;115:104-110. doi: 10.1016/j.bios.2018.05.027. Epub 2018 May 16.
Herein, a biosensor based on a reduced graphene oxide field effect transistor (rGO-FET) functionalized with the cascading enzymes arginase and urease was developed for the detection of L-arginine. Arginase and urease were immobilized on the rGO-FET sensing surface via electrostatic layer-by-layer assembly using polyethylenimine (PEI) as cationic building block. The signal transduction mechanism is based on the ability of the cascading enzymes to selectively perform chemical transformations and prompt local pH changes, that are sensitively detected by the rGO-FET. In the presence of L-arginine, the transistors modified with (PEI/urease(arginase)) multilayers showed a shift in the Dirac point due to the change in the local pH close to the graphene surface, produced by the catalyzed urea hydrolysis. The transistors were able to monitor L-arginine in the 10-1000 μM linear range with a LOD of 10 μM, displaying a fast response and a good long-term stability. The sensor showed stereospecificity and high selectivity in the presence of non-target amino acids. Taking into account the label-free, real-time measurement capabilities and the easily quantifiable, electronic output signal, this biosensor offers advantages over state-of-the-art L-arginine detection methods.
本文报道了一种基于还原氧化石墨烯场效应晶体管(rGO-FET)的生物传感器,该传感器通过使用聚亚乙基亚胺(PEI)作为阳离子构筑块,通过层层静电组装将级联酶精氨酸酶和脲酶固定在 rGO-FET 传感表面上。信号转导机制基于级联酶选择性地进行化学转化并促使局部 pH 值发生变化的能力,rGO-FET 可以灵敏地检测到这种变化。在存在 L-精氨酸的情况下,由于靠近石墨烯表面的局部 pH 值发生变化,由催化的尿素水解产生,用(PEI/脲酶(精氨酸酶))多层修饰的晶体管由于 Dirac 点发生偏移。该晶体管能够在 10-1000μM 的线性范围内监测 L-精氨酸,检测限为 10μM,具有快速的响应和良好的长期稳定性。在存在非目标氨基酸的情况下,该传感器表现出立体选择性和高选择性。考虑到无标记、实时测量的能力和可量化的电子输出信号,与最先进的 L-精氨酸检测方法相比,该生物传感器具有优势。