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An electronic nose using a single graphene FET and machine learning for water, methanol, and ethanol

Microsystems & Nanoengineering 2020年第1期6卷 969-981页

作者： Takeshi Hayasaka Albert Lin Vernalyn C.Copa lorenzo p.lopez jr.regine a.loberternos Laureen Ida M.Ballesteros Yoshihiro Kubota Yumeng Liu Arnel A.Salvador Liwei Lin Berkeley Sensor and Actuator Center&Department of Mechanical Engineering University of California at BerkeleyBerkeleyCA 94720USA Materials Science and Engineering program College of ScienceUniversity of the Philippines Diliman1101 Quezon CityPhilippines National Institute of physics College of ScienceUniversity of the Philippines Diliman1101 Quezon CityPhilippines

The poor gas selectivity problem has been a long-standing issue for miniaturized chemical-resistor gas *** electronic nose(e-nose)was proposed in the 1980s to tackle the selectivity issue,but it required top-down chemical functionalization processes to deposit multiple functional ***,we report a novel gas-sensing scheme using a single graphene field-effect transistor(GFET)and machine learning to realize gas selectivity under particular conditions by combining the unique properties of the GFET and e-nose *** of using multiple functional materials,the gas-sensing conductivity profiles of a GFET are recorded and decoupled into four distinctive physical properties and projected onto a feature space as 4D output vectors and classified to differentiated target gases by using machine-learning *** single-GFET approach coupled with trained pattern recognition algorithms was able to classify water,methanol,and ethanol vapors with high accuracy quantitatively when they were tested ***,the gas-sensing patterns of methanol were qualitatively distinguished from those of water vapor in a binary mixture condition,suggesting that the proposed scheme is capable of differentiating a gas from the realistic scenario of an ambient environment with background *** such,this work offers a new class of gas-sensing schemes using a single GFET without multiple functional materials toward miniaturized e-noses.

关键词： methanol selectivity electronic

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