Highly selective reduced graphene oxide (rGO) sensor based on a peptide aptamer receptor for detecting explosives
Abstract An essential requirement for bio/chemical sensors and electronic nose systems is the ability to detect the intended target at room temperature with high selectivity. We report a reduced graphene oxide (rGO)-based gas sensor functionalized with a peptide receptor to detect dinitrotoluene (DN...
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2019
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oai:doaj.org-article:57d49c409cee475e80d02894089a3bc32021-12-02T15:08:59ZHighly selective reduced graphene oxide (rGO) sensor based on a peptide aptamer receptor for detecting explosives10.1038/s41598-019-45936-z2045-2322https://doaj.org/article/57d49c409cee475e80d02894089a3bc32019-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-45936-zhttps://doaj.org/toc/2045-2322Abstract An essential requirement for bio/chemical sensors and electronic nose systems is the ability to detect the intended target at room temperature with high selectivity. We report a reduced graphene oxide (rGO)-based gas sensor functionalized with a peptide receptor to detect dinitrotoluene (DNT), which is a byproduct of trinitrotoluene (TNT). We fabricated the multi-arrayed rGO sensor using spin coating and a standard microfabrication technique. Subsequently, the rGO was subjected to photolithography and an etching process, after which we prepared the DNT-specific binding peptide (DNT-bp, sequence: His-Pro-Asn-Phe-Se r-Lys-Tyr-IleLeu-HisGln-Arg-Cys) and DNT non-specific binding peptide (DNT-nbp, sequence: Thr-Ser-Met-Leu-Leu-Met-Ser-Pro-Lys-His-Gln-Ala-Cys). These two peptides were prepared to function as highly specific and highly non-specific (for the control experiment) peptide receptors, respectively. By detecting the differential signals between the DNT-bp and DNT-nbp functionalized rGO sensor, we demonstrated the ability of 2,4-dinitrotoluene (DNT) targets to bind to DNT-specific binding peptide surfaces, showing good sensitivity and selectivity. The advantage of using the differential signal is that it eliminates unwanted electrical noise and/or environmental effects. We achieved sensitivity of 27 ± 2 × 10−6 per part per billion (ppb) for the slope of resistance change versus DNT gas concentration of 80, 160, 240, 320, and 480 ppm, respectively. By sequentially flowing DNT vapor (320 ppb), acetone (100 ppm), toluene (1 ppm), and ethanol (100 ppm) onto the rGO sensors, the change in the signal of rGO in the presence of DNT gas is 6400 × 10−6 per ppb whereas the signals from the other gases show no changes, representing highly selective performance. Using this platform, we were also able to regenerate the surface by simply purging with N2.Kyungjae LeeYong Kyoung YooMyung-Sic ChaeKyo Seon HwangJunwoo LeeHyungsuk KimDon HurJeong Hoon LeeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-9 (2019) |
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Medicine R Science Q Kyungjae Lee Yong Kyoung Yoo Myung-Sic Chae Kyo Seon Hwang Junwoo Lee Hyungsuk Kim Don Hur Jeong Hoon Lee Highly selective reduced graphene oxide (rGO) sensor based on a peptide aptamer receptor for detecting explosives |
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Abstract An essential requirement for bio/chemical sensors and electronic nose systems is the ability to detect the intended target at room temperature with high selectivity. We report a reduced graphene oxide (rGO)-based gas sensor functionalized with a peptide receptor to detect dinitrotoluene (DNT), which is a byproduct of trinitrotoluene (TNT). We fabricated the multi-arrayed rGO sensor using spin coating and a standard microfabrication technique. Subsequently, the rGO was subjected to photolithography and an etching process, after which we prepared the DNT-specific binding peptide (DNT-bp, sequence: His-Pro-Asn-Phe-Se r-Lys-Tyr-IleLeu-HisGln-Arg-Cys) and DNT non-specific binding peptide (DNT-nbp, sequence: Thr-Ser-Met-Leu-Leu-Met-Ser-Pro-Lys-His-Gln-Ala-Cys). These two peptides were prepared to function as highly specific and highly non-specific (for the control experiment) peptide receptors, respectively. By detecting the differential signals between the DNT-bp and DNT-nbp functionalized rGO sensor, we demonstrated the ability of 2,4-dinitrotoluene (DNT) targets to bind to DNT-specific binding peptide surfaces, showing good sensitivity and selectivity. The advantage of using the differential signal is that it eliminates unwanted electrical noise and/or environmental effects. We achieved sensitivity of 27 ± 2 × 10−6 per part per billion (ppb) for the slope of resistance change versus DNT gas concentration of 80, 160, 240, 320, and 480 ppm, respectively. By sequentially flowing DNT vapor (320 ppb), acetone (100 ppm), toluene (1 ppm), and ethanol (100 ppm) onto the rGO sensors, the change in the signal of rGO in the presence of DNT gas is 6400 × 10−6 per ppb whereas the signals from the other gases show no changes, representing highly selective performance. Using this platform, we were also able to regenerate the surface by simply purging with N2. |
format |
article |
author |
Kyungjae Lee Yong Kyoung Yoo Myung-Sic Chae Kyo Seon Hwang Junwoo Lee Hyungsuk Kim Don Hur Jeong Hoon Lee |
author_facet |
Kyungjae Lee Yong Kyoung Yoo Myung-Sic Chae Kyo Seon Hwang Junwoo Lee Hyungsuk Kim Don Hur Jeong Hoon Lee |
author_sort |
Kyungjae Lee |
title |
Highly selective reduced graphene oxide (rGO) sensor based on a peptide aptamer receptor for detecting explosives |
title_short |
Highly selective reduced graphene oxide (rGO) sensor based on a peptide aptamer receptor for detecting explosives |
title_full |
Highly selective reduced graphene oxide (rGO) sensor based on a peptide aptamer receptor for detecting explosives |
title_fullStr |
Highly selective reduced graphene oxide (rGO) sensor based on a peptide aptamer receptor for detecting explosives |
title_full_unstemmed |
Highly selective reduced graphene oxide (rGO) sensor based on a peptide aptamer receptor for detecting explosives |
title_sort |
highly selective reduced graphene oxide (rgo) sensor based on a peptide aptamer receptor for detecting explosives |
publisher |
Nature Portfolio |
publishDate |
2019 |
url |
https://doaj.org/article/57d49c409cee475e80d02894089a3bc3 |
work_keys_str_mv |
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