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An analytical and experimental biosensor for human MIG using AlGaN/GaN based HEMT devices.

机译:使用基于AlGaN / GaN的HEMT器件的人MIG分析和​​实验生物传感器。

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摘要

An amperometric biosensor using AlGaN/GaN based HEMT devices is constructed experimentally and validated through analytical and numerical techniques for detection of a key protein in allograft rejection (Human MIG/CXCL9). The prototype developed provides a reliable sensing platform that will allow label-free and marker-free detection. By exploiting characteristics unique to AlGaN/GaN based HEMT devices, a floating gate configuration is employed to allow reliable sensing without the need for any reference electrode. This ensures that any response in drain current will be attributed to the bio-conugation of the target antibody with its appropriate analyte. Self-assembled monolayers (SAM) are formed at the gate surface by using a crosslinker (DSP) to allow for appropriate immobilization of target antibodies. A theoretical analytical and numerical model is developed using the Charge-control and net neutrality equations to explain the mechanism of action of the proposed biosensor. Furthermore, other issues such as repeatability, influence of the substrate, threshold shifting, and device packaging are addressed. Finally, an experimental circuit is constructed with the previously prepared biosensor to validate the claims made in this thesis.
机译:通过实验构建了使用基于AlGaN / GaN的HEMT器件的安培生物传感器,并通过分析和数值技术对同种异体移植排斥中的关键蛋白(人类MIG / CXCL9)的检测进行了验证。开发的原型提供了可靠的传感平台,可实现无标签和无标记的检测。通过利用基于AlGaN / GaN的HEMT器件独有的特性,采用了浮栅配置以实现可靠的感测,而无需任何参考电极。这确保了漏极电流的任何响应都将归因于目标抗体与其适当的分析物的生物融合。通过使用交联剂(DSP)在门表面形成自组装单分子层(SAM),以实现目标抗体的适当固定。使用电荷控制和网络中性方程建立了理论分析和数值模型,以解释所提出的生物传感器的作用机理。此外,还解决了其他问题,例如可重复性,基板的影响,阈值偏移和器件封装。最后,利用先前准备的生物传感器构建了一个实验电路,以验证本文的权利要求。

著录项

  • 作者

    Trevino, Hector, II.;

  • 作者单位

    The University of Texas - Pan American.;

  • 授予单位 The University of Texas - Pan American.;
  • 学科 Engineering Electronics and Electrical.;Engineering Biomedical.
  • 学位 M.S.
  • 年度 2014
  • 页码 172 p.
  • 总页数 172
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:53:43

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