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Label-free detection of γ-aminobutyric acid based on silicon nanowire biosensor.
Nano Convergence ( IF 11.7 ) Pub Date : 2019-05-01 , DOI: 10.1186/s40580-019-0184-3
Jin-Ho Lee 1, 2 , Eun-Ji Chae 1 , Soo-Jeong Park 3 , Jeong-Woo Choi 1, 3
Affiliation  

γ-Aminobutyric acid (GABA) is an important inhibitory neurotransmitter in the central nervous system (CNS), which acts as a major biomarker for neurological disorders such as Parkinson’s disease and Meningitis. To this end, the precise measurement of GABA molecule arisen as an important subject for the effective diagnosis and treatment of neurological disorders. However, yet highly sensitive biosensor systems which can analyze a wide range of GABA molecule in a fast response manner have not been reported. In this study, for the first time, a silicon nanowire field-effect transistor (FET) device based immunosensor was developed to detect GABA molecule. Zig-zag shaped silicon nanowires has been fabricated by electron beam lithography and the electrical property p-type FET device was validated through semiconductor analyzer. The optimal immobilizing condition of antibody against GABA molecule was determined by the fluorescent signal measurement. Various concentrations of GABA ranging from 970 fM to 9.7 μM were sensitively measured by conductance change on silicon nanowire-based through the immunoreactions. Further, owing to the ease of miniaturization and label-free system, we believe that the suggested device system has a potential to be utilized for an implantable biosensor to detect neurotransmitter in the brain and can create new opportunities in the field of diagnosis and treatment of neurological disorders.

中文翻译:

基于硅纳米线生物传感器的γ-氨基丁酸无标记检测。

γ-氨基丁酸(GABA)是中枢神经系统(CNS)中重要的抑制性神经递质,可作为帕金森氏病和脑膜炎等神经系统疾病的主要生物标志物。为此,GABA分子的精确测量成为有效诊断和治疗神经系统疾病的重要课题。然而,尚未报道可以以快速响应的方式分析广泛的GABA分子的高度灵敏的生物传感器系统。在这项研究中,首次开发了基于硅纳米线场效应晶体管(FET)的免疫传感器来检测GABA分子。通过电子束光刻技术制备了锯齿形的硅纳米线,并通过半导体分析仪验证了其电学特性p型FET器件。通过荧光信号测量确定针对GABA分子的抗体的最佳固定条件。通过基于硅纳米线的电导变化通过免疫反应灵敏地测量了970 fM至9.7μM范围内的各种GABA浓度。此外,由于易于小型化和无需标签的系统,我们认为建议的设备系统具有可用于植入式生物传感器以检测大脑中神经递质的潜力,并可以在脑电图的诊断和治疗领域创造新的机会。神经系统疾病。
更新日期:2019-05-01
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