A Biochemical Sensor with Artificial 3D Enzyme Network

Hussam Ibrahim, Satyanarayana Moru, Liang Dong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We report the integration of artificial three-dimensional (3D) enzyme networks into SU-8 photoresist-converted porous carbon electrodes to realize highperformance amperometric nitrate sensors. The sensor provides an improved lifespan that allows for long-term monitoring of nitrate ions. The artificial enzyme is formed by introducing both graphene oxide (GO) and Vitamin B12 (Vit-B12) into the converted porous carbon. The enzymatic electrode serves as the working electrode of the sensor to detect nitrate ions in the sap solution of maize plants. It is demonstrates that the sensor has high sensitivity and selectivity to nitrate ions, as well as high stability over at least seven days with almost no performance degradation.

Original languageEnglish
Title of host publication33rd IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages697-700
Number of pages4
ISBN (Electronic)9781728135809
DOIs
StatePublished - Jan 2020
Externally publishedYes
Event33rd IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2020 - Vancouver, Canada
Duration: 18 Jan 202022 Jan 2020

Publication series

NameProceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS)
Volume2020-January
ISSN (Print)1084-6999

Conference

Conference33rd IEEE International Conference on Micro Electro Mechanical Systems, MEMS 2020
Country/TerritoryCanada
CityVancouver
Period18/01/2022/01/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Funding

The information, data, or work presented herein was funded in part by the Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy, under award number DE-AR0000824. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. This project was also partially supported by the United States Department of Agriculture (USDA) under the grant number 2017-67013-26463, and the Plant Sciences Institute at Iowa State. Authors claim there is no conflict of interest, and share equal contributions.

FundersFunder number
Advanced Research Projects Agency-Energy
U.S. Department of EnergyDE-AR0000824
U.S. Department of Agriculture2017-67013-26463

    Keywords

    • Amperometric biosensor
    • Artificial Enzyme
    • Biocatalyst

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