Indium-tin-oxide thin film transistor biosensors for label-free detection of avian influenza virus H5N1

详细信息    查看全文

• 作者：Di Guo^a ; Ming Zhuo^a ; Xiaoai Zhang^b ; Cheng Xu^a ; Jie Jiang^a ; Fu Gao^b ; Qing Wan^a ; ¹ ; ^{wanqing7686@hotmail.com} ; Qiuhong Li^a ; ^{liqiuhong2004@hotmail.com} ; Taihong Wang^a ; ^{thwang@hnu.cn}
• 关键词：Indium-tin-oxide ; Thin film transistor ; Avian influenza H5N1 virus ; Biosensor ; Label-free detection
• 刊名：Analytica Chimica Acta
• 出版年：2013
• 出版时间：22 April, 2013
• 年：2013
• 卷：773
• 期：Complete
• 页码：83-88
• 全文大小：891 K

文摘

As continuous outbreak of avian influenza (AI) has become a threat to human health, economic development and social stability, it is urgently necessary to detect the highly pathogenic avian influenza H5N1 virus quickly. In this study, we fabricated indium-tin-oxide thin-film transistors (ITO TFTs) on a glass substrate for the detecting of AI H5N1. The ITO TFT is fabricated by a one-shadow-mask process in which a channel layer can be simultaneously self-assembled between ITO source/drain electrodes during magnetron sputtering deposition. Monoclonal anti-H5N1 antibodies specific for AI H5N1 virus were covalently immobilized on the ITO channel by (3-glycidoxypropyl)trimethoxysilane. The introduction of target AI H5N1 virus affected the electronic properties of the ITO TFT, which caused a change in the resultant threshold voltage (V_T) and field-effect mobility. The changes of I_D-V_G curves were consistent with an n-type field effect transistor behavior affected by nearby negatively charged AI H5N1 viruses. The transistor based sensor demonstrated high selectivity and stability for AI H5N1 virus sensing. The sensor showed linear response to AI H5N1 in the concentrations range from 5 ¡Á 10^?9 g mL^?1 to 5 ¡Á 10^?6 g mL^?1 with a detection limit of 0.8 ¡Á 10^?10 g mL^?1. Moreover, the ITO TFT biosensors can be repeatedly used through the washing processes. With its excellent electric properties and the potential for mass commercial production, ITO TFTs can be promising candidates for the development of label-free biosensors.