Applications of Carbon-Based Multivariable Chemical Sensors for Analyte Recognition (IMAGE)
Caption
- This paper reviews the fundamentals and research progress of carbon-based multivariable chemical sensors, with a particular focus on the classification and identification of multiple analytes.
- Carbon-based multivariable chemical sensors consisting of carbon nanotubes/graphene as the sensing material and field effect transistors as the transducers are discussed in detail.
- A comprehensive analysis of multivariable sensing mechanisms is presented and design criteria for carbon-based multivariable sensors are summarized.
Credit
Lin Shi, Jian Song, Yu Wang, Heng Fu, Kingsley Patrick-Iwuanyanwu, Lei Zhang, Charles H. Lawrie*, Jianhua Zhang.
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Credit must be given to the creator. Only noncommercial uses of the work are permitted. No derivatives or adaptations of the work are permitted.
License
CC BY-NC-ND