Graphene-Based FET Detector for E. coli K12 Real-Time Monitoring and Its Theoretical Analysis

Joint Authors

Zhu, Changan
Zhu, Jieyi
Niu, Fuzhou
Yang, Jie
Xi, Ning

Source

Journal of Sensors

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-05-18

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

This paper presents a theoretical analysis for a graphene-based FET real-time detector of the target bacteria E.

coli K12.

The motivation for this study is to design a sensor device for detection of bacteria in food and water in order to guarantee food safety.

Graphene is chosen as our material for sensor design, which has outstanding electrical, physical, and optical performance.

In our sensor structure, graphene-based solution gate field effect transistor (FET) is the device model; fabrication and functionalization protocol are presented together in this paper.

What is more, a real-time signal display system is the accompanied equipment for our designed biosensor device.

In this system, the sensor bias current signal Ids would change obviously when the target bacteria are attached to the sensor surface.

And the bias current Ids increases when the E.

coli concentration increases.

In the latter part, a theoretical interpretation of the sensor signal is to explain the bias current Ids increasing after the E.

coli K12 attachment.

American Psychological Association (APA)

Zhu, Jieyi& Niu, Fuzhou& Zhu, Changan& Yang, Jie& Xi, Ning. 2016. Graphene-Based FET Detector for E. coli K12 Real-Time Monitoring and Its Theoretical Analysis. Journal of Sensors،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1110477

Modern Language Association (MLA)

Zhu, Jieyi…[et al.]. Graphene-Based FET Detector for E. coli K12 Real-Time Monitoring and Its Theoretical Analysis. Journal of Sensors No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1110477

American Medical Association (AMA)

Zhu, Jieyi& Niu, Fuzhou& Zhu, Changan& Yang, Jie& Xi, Ning. Graphene-Based FET Detector for E. coli K12 Real-Time Monitoring and Its Theoretical Analysis. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1110477

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1110477