Selective vapor detection of an integrated chemical sensor array

Youngmo Jung; Young Jun Kim; Jaebin Choi; Chaehyun Lim; Beom Ju Shin; Hi Gyu Moon; Taikjin Lee; Jae Hun Kim; Minah Seo; Chong-Yun Kang; Seong Chan Jun; Seok Lee; Chulki Kim

doi:10.1117/12.2185259

Selective vapor detection of an integrated chemical sensor array

Youngmo Jung, Young Jun Kim, Jaebin Choi, Chaehyun Lim, Beom Ju Shin, Hi Gyu Moon, Taikjin Lee, Jae Hun Kim, Minah Seo, Chong-Yun Kang, Seong Chan Jun, Seok Lee, Chulki Kim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Graphene is a promising material for vapor sensor applications because of its potential to be functionalized for specific chemical gases. In this work, we present a graphene gas sensor that uses single-stranded DNA (ssDNA) molecules as its sensing agent. We investigate the characteristics of graphene field effect transistors (FETs) coated with different ssDNAs. The sensitivity and recovery rate for a specific gas are modified according to the differences in the DNA molecules' Guanine (G) and Cytosine (C) content. ssDNA-functionalized devices show a higher recovery rate compared to bare graphene devices. Pattern analysis of a 2-by-2 sensor array composed of graphene devices functionalized with different-sequence ssDNA enables identification of NH₃, NO₂, CO, SO₂ using Principle Component Analysis (PCA).

Original language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	SPIE
Volume	9655
ISBN (Print)	9781628418651
DOIs	https://doi.org/10.1117/12.2185259
Publication status	Published - 2015
Externally published	Yes
Event	5th Asia-Pacific Optical Sensors Conference, APOS 2015 - Jeju, Korea, Republic of Duration: 2015 May 20 → 2015 May 22

Other

Other	5th Asia-Pacific Optical Sensors Conference, APOS 2015
Country	Korea, Republic of
City	Jeju
Period	15/5/20 → 15/5/22

Keywords

Graphene
Principle Component Analysis
Sensor Array
Single-Stranded DNA

ASJC Scopus subject areas

Applied Mathematics
Computer Science Applications
Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials
Condensed Matter Physics

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10.1117/12.2185259

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Selective vapor detection of an integrated chemical sensor array. / Jung, Youngmo; Kim, Young Jun; Choi, Jaebin; Lim, Chaehyun; Shin, Beom Ju; Moon, Hi Gyu; Lee, Taikjin; Kim, Jae Hun; Seo, Minah; Kang, Chong-Yun; Jun, Seong Chan; Lee, Seok; Kim, Chulki.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 9655 SPIE, 2015. 96551A.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jung, Y, Kim, YJ, Choi, J, Lim, C, Shin, BJ, Moon, HG, Lee, T, Kim, JH, Seo, M, Kang, C-Y, Jun, SC, Lee, S & Kim, C 2015, Selective vapor detection of an integrated chemical sensor array. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 9655, 96551A, SPIE, 5th Asia-Pacific Optical Sensors Conference, APOS 2015, Jeju, Korea, Republic of, 15/5/20. https://doi.org/10.1117/12.2185259

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abstract = "Graphene is a promising material for vapor sensor applications because of its potential to be functionalized for specific chemical gases. In this work, we present a graphene gas sensor that uses single-stranded DNA (ssDNA) molecules as its sensing agent. We investigate the characteristics of graphene field effect transistors (FETs) coated with different ssDNAs. The sensitivity and recovery rate for a specific gas are modified according to the differences in the DNA molecules' Guanine (G) and Cytosine (C) content. ssDNA-functionalized devices show a higher recovery rate compared to bare graphene devices. Pattern analysis of a 2-by-2 sensor array composed of graphene devices functionalized with different-sequence ssDNA enables identification of NH3, NO2, CO, SO2 using Principle Component Analysis (PCA).",

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AU - Moon, Hi Gyu

AU - Lee, Taikjin

AU - Kim, Jae Hun

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AB - Graphene is a promising material for vapor sensor applications because of its potential to be functionalized for specific chemical gases. In this work, we present a graphene gas sensor that uses single-stranded DNA (ssDNA) molecules as its sensing agent. We investigate the characteristics of graphene field effect transistors (FETs) coated with different ssDNAs. The sensitivity and recovery rate for a specific gas are modified according to the differences in the DNA molecules' Guanine (G) and Cytosine (C) content. ssDNA-functionalized devices show a higher recovery rate compared to bare graphene devices. Pattern analysis of a 2-by-2 sensor array composed of graphene devices functionalized with different-sequence ssDNA enables identification of NH3, NO2, CO, SO2 using Principle Component Analysis (PCA).

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