NDLI: Analytical modeling of glucose biosensors based on carbon nanotubes

Content Provider	PubMed Central
Author	Pourasl, Ali H. Ahmadi, Mohammad Taghi Rahmani, Meisam Chin, Huei Chaeng Lim, Cheng Siong Ismail, Razali Tan, Michael Loong Peng
Copyright Year	2014
Abstract	In recent years, carbon nanotubes have received widespread attention as promising carbon-based nanoelectronic devices. Due to their exceptional physical, chemical, and electrical properties, namely a high surface-to-volume ratio, their enhanced electron transfer properties, and their high thermal conductivity, carbon nanotubes can be used effectively as electrochemical sensors. The integration of carbon nanotubes with a functional group provides a good and solid support for the immobilization of enzymes. The determination of glucose levels using biosensors, particularly in the medical diagnostics and food industries, is gaining mass appeal. Glucose biosensors detect the glucose molecule by catalyzing glucose to gluconic acid and hydrogen peroxide in the presence of oxygen. This action provides high accuracy and a quick detection rate. In this paper, a single-wall carbon nanotube field-effect transistor biosensor for glucose detection is analytically modeled. In the proposed model, the glucose concentration is presented as a function of gate voltage. Subsequently, the proposed model is compared with existing experimental data. A good consensus between the model and the experimental data is reported. The simulated data demonstrate that the analytical model can be employed with an electrochemical glucose sensor to predict the behavior of the sensing mechanism in biosensors.
Related Links	http://dx.doi.org/10.1186/1556-276x-9-33
Ending Page	33
Page Count	1
Starting Page	33
File Format	PDF
ISSN	1556276X
e-ISSN	1556276X
Journal	Nanoscale Research Letters
Issue Number	1
Volume Number	9
Language	English
Publisher	Springer
Publisher Date	2014-01-01
Access Restriction	Open
Rights Holder	Springer
Subject Keyword	Materials Science(all) Condensed Matter Physics Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Nanoscience and Nanotechnology Condensed Matter Physics

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