生物传感器
检出限
重复性
石墨烯
材料科学
线性范围
纳米技术
单克隆抗体
场效应晶体管
晶体管
色谱法
化学
抗体
医学
物理
免疫学
电压
量子力学
作者
Ting Liang,Jingfei Chen,Rui Yan,Huaning Jiang,Hexi Li
出处
期刊:Sensors
[Multidisciplinary Digital Publishing Institute]
日期:2023-06-22
卷期号:23 (13): 5820-5820
被引量:2
摘要
Background: Protective antigen (PA) is an important biomarker for the early diagnosis of anthrax, and the accurate detection of protective antigen under extremely low concentration conditions has always been a hot topic in the biomedical field. To complete the diagnosis of anthrax in a timely manner, it is necessary to detect PA at extremely low concentrations, as the amount of PA produced in the early stage of anthrax invasion is relatively small. Graphene field-effect transistor (Gr−FET) biosensors are a new type of material for preparing biosensors, with the advantages of a short detection time and ultra-low detection limit. Methods: The effect of different concentrations of diluents on the affinity of PA monoclonal antibodies was determined via an ELISA experiment. Combined with the Debye equation, 0.01 × PBS solution was finally selected as the diluent for the experiment. Then, a PA monoclonal antibody was selected as the bio-recognition element to construct a Gr−FET device based on CVD-grown graphene, which was used to detect the concentration of PA while recording the response time, linear range, detection limit, and other parameters. Results: The experimental results showed that the biosensor could quickly detect PA, with a linear range of 10 fg/mL to 100 pg/mL and a detection limit of 10 fg/mL. In addition, the biosensor showed excellent specificity and repeatability. Conclusions: By constructing a Gr−FET device based on CVD-grown graphene and selecting a PA monoclonal antibody as the bio-recognition element, a highly sensitive, specific, and repeatable Gr−FET biosensor was successfully prepared for detecting extremely low concentrations of anthrax protective antigen (PA). This biosensor is expected to have a wide range of applications in clinical medicine and biological safety monitoring.
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