skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: An enzymatic biosensor based on three-dimensional ZnO nanotetrapods spatial net modified AlGaAs/GaAs high electron mobility transistors

Abstract

We designed and constructed three dimensional (3D) zinc oxide Nanotetrapods (T-ZnOs) modified AlGaAs/GaAs high electron mobility transistors (HEMTs) for enzymatic uric acid (UA) detection. The chemical vapor deposition synthesized T-ZnOs was distributed on the gate areas of HEMTs in order to immobilize uricase and improve the sensitivity of the HEMTs. Combining with the high efficiency of enzyme immobilization by T-ZnOs and high sensitivity from HEMT, the as-constructed uricase/T-ZnOs/HEMTs biosensor showed fast response towards UA at ∼1 s, wide linear range from 0.2 nM to 0.2 mM and the low detect limit at 0.2 nM. The results point out an avenue to design electronic device as miniaturized lab-on-chip device for high sensitive and specific in biomedical and clinical diagnosis applications.

Authors:
 [1]; ; ; ; ;  [1]
  1. State Key Laboratory for Advanced Metals and Materials, School of Materials Science and Engineering, University of Science and Technology, Beijing 100083 (China)
Publication Date:
OSTI Identifier:
22392084
Resource Type:
Journal Article
Journal Name:
Applied Physics Letters
Additional Journal Information:
Journal Volume: 105; Journal Issue: 21; Other Information: (c) 2014 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0003-6951
Country of Publication:
United States
Language:
English
Subject:
75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY; ALUMINIUM ARSENIDES; CHEMICAL VAPOR DEPOSITION; ELECTRON MOBILITY; ELECTRONIC EQUIPMENT; GALLIUM ARSENIDES; NANOSTRUCTURES; NITRO-GROUP DEHYDROGENASES; TRANSISTORS; URIC ACID; ZINC OXIDES

Citation Formats

Song, Yu, Bioengineering Program, Lehigh University, Bethlehem, Pennsylvania 18015, Zhang, Xiaohui, Yan, Xiaoqin, Liao, Qingliang, Wang, Zengze, and Zhang, Yue. An enzymatic biosensor based on three-dimensional ZnO nanotetrapods spatial net modified AlGaAs/GaAs high electron mobility transistors. United States: N. p., 2014. Web. doi:10.1063/1.4902944.
Song, Yu, Bioengineering Program, Lehigh University, Bethlehem, Pennsylvania 18015, Zhang, Xiaohui, Yan, Xiaoqin, Liao, Qingliang, Wang, Zengze, & Zhang, Yue. An enzymatic biosensor based on three-dimensional ZnO nanotetrapods spatial net modified AlGaAs/GaAs high electron mobility transistors. United States. https://doi.org/10.1063/1.4902944
Song, Yu, Bioengineering Program, Lehigh University, Bethlehem, Pennsylvania 18015, Zhang, Xiaohui, Yan, Xiaoqin, Liao, Qingliang, Wang, Zengze, and Zhang, Yue. 2014. "An enzymatic biosensor based on three-dimensional ZnO nanotetrapods spatial net modified AlGaAs/GaAs high electron mobility transistors". United States. https://doi.org/10.1063/1.4902944.
@article{osti_22392084,
title = {An enzymatic biosensor based on three-dimensional ZnO nanotetrapods spatial net modified AlGaAs/GaAs high electron mobility transistors},
author = {Song, Yu and Bioengineering Program, Lehigh University, Bethlehem, Pennsylvania 18015 and Zhang, Xiaohui and Yan, Xiaoqin and Liao, Qingliang and Wang, Zengze and Zhang, Yue},
abstractNote = {We designed and constructed three dimensional (3D) zinc oxide Nanotetrapods (T-ZnOs) modified AlGaAs/GaAs high electron mobility transistors (HEMTs) for enzymatic uric acid (UA) detection. The chemical vapor deposition synthesized T-ZnOs was distributed on the gate areas of HEMTs in order to immobilize uricase and improve the sensitivity of the HEMTs. Combining with the high efficiency of enzyme immobilization by T-ZnOs and high sensitivity from HEMT, the as-constructed uricase/T-ZnOs/HEMTs biosensor showed fast response towards UA at ∼1 s, wide linear range from 0.2 nM to 0.2 mM and the low detect limit at 0.2 nM. The results point out an avenue to design electronic device as miniaturized lab-on-chip device for high sensitive and specific in biomedical and clinical diagnosis applications.},
doi = {10.1063/1.4902944},
url = {https://www.osti.gov/biblio/22392084}, journal = {Applied Physics Letters},
issn = {0003-6951},
number = 21,
volume = 105,
place = {United States},
year = {Mon Nov 24 00:00:00 EST 2014},
month = {Mon Nov 24 00:00:00 EST 2014}
}