Literature DB >> 21204575

Toward practical gas sensing with highly reduced graphene oxide: a new signal processing method to circumvent run-to-run and device-to-device variations.

Ganhua Lu1, Sungjin Park, Kehan Yu, Rodney S Ruoff, Leonidas E Ocola, Daniel Rosenmann, Junhong Chen.   

Abstract

Graphene is worth evaluating for chemical sensing and biosensing due to its outstanding physical and chemical properties. We first report on the fabrication and characterization of gas sensors using a back-gated field-effect transistor platform with chemically reduced graphene oxide (R-GO) as the conducting channel. These sensors exhibited a 360% increase in response when exposed to 100 ppm NO(2) in air, compared with thermally reduced graphene oxide sensors we reported earlier. We then present a new method of signal processing/data interpretation that addresses (i) sensing devices with long recovery periods (such as required for sensing gases with these R-GO sensors) as well as (ii) device-to-device variations. A theoretical analysis is used to illuminate the importance of using the new signal processing method when the sensing device suffers from slow recovery and non-negligible contact resistance. We suggest that the work reported here (including the sensor signal processing method and the inherent simplicity of device fabrication) is a significant step toward the real-world application of graphene-based chemical sensors.

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Year:  2011        PMID: 21204575     DOI: 10.1021/nn102803q

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  22 in total

1.  Adsorption of HCN on reduced graphene oxides: a first-principles study.

Authors:  Meilian Zhao; Feng Yang; Ying Xue; Dan Xiao; Yong Guo
Journal:  J Mol Model       Date:  2014-04-02       Impact factor: 1.810

2.  Graphene nanomesh as highly sensitive chemiresistor gas sensor.

Authors:  Rajat Kanti Paul; Sushmee Badhulika; Nuvia M Saucedo; Ashok Mulchandani
Journal:  Anal Chem       Date:  2012-09-13       Impact factor: 6.986

3.  High sensitivity gas detection using a macroscopic three-dimensional graphene foam network.

Authors:  Fazel Yavari; Zongping Chen; Abhay V Thomas; Wencai Ren; Hui-Ming Cheng; Nikhil Koratkar
Journal:  Sci Rep       Date:  2011-11-23       Impact factor: 4.379

4.  Studies of Reduced Graphene Oxide and Graphite Oxide in the Aspect of Their Possible Application in Gas Sensors.

Authors:  Sabina Drewniak; Roksana Muzyka; Agnieszka Stolarczyk; Tadeusz Pustelny; Michalina Kotyczka-Morańska; Maciej Setkiewicz
Journal:  Sensors (Basel)       Date:  2016-01-15       Impact factor: 3.576

5.  Few-Flakes Reduced Graphene Oxide Sensors for Organic Vapors with a High Signal-to-Noise Ratio.

Authors:  Nowzesh Hasan; Wenli Zhang; Adarsh D Radadia
Journal:  Nanomaterials (Basel)       Date:  2017-10-21       Impact factor: 5.076

6.  Direct growth of vertically-oriented graphene for field-effect transistor biosensor.

Authors:  Shun Mao; Kehan Yu; Jingbo Chang; Douglas A Steeber; Leonidas E Ocola; Junhong Chen
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

7.  Highly sensitive and selective gas sensor using hydrophilic and hydrophobic graphenes.

Authors:  Surajit Some; Yang Xu; Youngmin Kim; Yeoheung Yoon; Hongyi Qin; Atul Kulkarni; Taesung Kim; Hyoyoung Lee
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

8.  Ultrahigh humidity sensitivity of graphene oxide.

Authors:  Hengchang Bi; Kuibo Yin; Xiao Xie; Jing Ji; Shu Wan; Litao Sun; Mauricio Terrones; Mildred S Dresselhaus
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

9.  Ammonia gas sensors based on chemically reduced graphene oxide sheets self-assembled on Au electrodes.

Authors:  Yanyan Wang; Liling Zhang; Nantao Hu; Ying Wang; Yafei Zhang; Zhihua Zhou; Yanhua Liu; Su Shen; Changsi Peng
Journal:  Nanoscale Res Lett       Date:  2014-05-21       Impact factor: 4.703

10.  Improved NO2 Gas Sensing Properties of Graphene Oxide Reduced by Two-beam-laser Interference.

Authors:  Li Guo; Ya-Wei Hao; Pei-Long Li; Jiang-Feng Song; Rui-Zhu Yang; Xiu-Yan Fu; Sheng-Yi Xie; Jing Zhao; Yong-Lai Zhang
Journal:  Sci Rep       Date:  2018-03-20       Impact factor: 4.379

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