Ammonia sensing using multilayer graphene grown on Co-Ni/Al2O3 substrate
Ammonia is widely employed in several industrial processes such as fertilizer, fire power plant, and food processing. Hence, it is expedient for the detection of ammonia in trace amount which necessitated the use of sensing materials. In this study, multilayer graphene grown on Co-Ni/Al2O3 substrate...
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my.upm.eprints.654562018-10-08T02:41:15Z http://psasir.upm.edu.my/id/eprint/65456/ Ammonia sensing using multilayer graphene grown on Co-Ni/Al2O3 substrate Ali, May Abdul Rashid, Suraya Hamidon, Mohd Nizar Md. Yasin, Faizah Al-Sudani, Farah Talib Jasim Victor, Ayodele Bamidele Ammonia is widely employed in several industrial processes such as fertilizer, fire power plant, and food processing. Hence, it is expedient for the detection of ammonia in trace amount which necessitated the use of sensing materials. In this study, multilayer graphene grown on Co-Ni/Al2O3 substrate using Chemical Vapour Deposition at a temperature range of 700-800 °C was employed for gas sensing application at room temperature. The sensitivity of the multilayer graphene to the detection of different concentrations of ammonia as a function of time was investigated. The finding shows that the minimum sensitivity response of the multilayer graphene at 0.06% ammonia concentration was 7.29%, while the maximum sensitivity response of the multilayer at 1% ammonia concentration was 8.3%, which is an indication that the MLG film-based sensor has an affinity towards NH3. 2018 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/65456/1/40.pdf Ali, May and Abdul Rashid, Suraya and Hamidon, Mohd Nizar and Md. Yasin, Faizah and Al-Sudani, Farah Talib Jasim and Victor, Ayodele Bamidele (2018) Ammonia sensing using multilayer graphene grown on Co-Ni/Al2O3 substrate. In: 2nd International Symposium on Advanced Materials and Nanotechnology (i-SAMN 2018), 15-16 Aug. 2018, The Everly Putrajaya, Malaysia. (pp. 72-73). http://www.samn2018.upm.edu.my/doc/40.pdf |
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Ammonia is widely employed in several industrial processes such as fertilizer, fire power plant, and food processing. Hence, it is expedient for the detection of ammonia in trace amount which necessitated the use of sensing materials. In this study, multilayer graphene grown on Co-Ni/Al2O3 substrate using Chemical Vapour Deposition at a temperature range of 700-800 °C was employed for gas sensing application at room temperature. The sensitivity of the multilayer graphene to the detection of different concentrations of ammonia as a function of time was investigated. The finding shows that the minimum sensitivity response of the multilayer graphene at 0.06% ammonia concentration was 7.29%, while the maximum sensitivity response of the multilayer at 1% ammonia concentration was 8.3%, which is an indication that the MLG film-based sensor has an affinity towards NH3. |
format |
Conference or Workshop Item |
author |
Ali, May Abdul Rashid, Suraya Hamidon, Mohd Nizar Md. Yasin, Faizah Al-Sudani, Farah Talib Jasim Victor, Ayodele Bamidele |
spellingShingle |
Ali, May Abdul Rashid, Suraya Hamidon, Mohd Nizar Md. Yasin, Faizah Al-Sudani, Farah Talib Jasim Victor, Ayodele Bamidele Ammonia sensing using multilayer graphene grown on Co-Ni/Al2O3 substrate |
author_facet |
Ali, May Abdul Rashid, Suraya Hamidon, Mohd Nizar Md. Yasin, Faizah Al-Sudani, Farah Talib Jasim Victor, Ayodele Bamidele |
author_sort |
Ali, May |
title |
Ammonia sensing using multilayer graphene grown on Co-Ni/Al2O3 substrate |
title_short |
Ammonia sensing using multilayer graphene grown on Co-Ni/Al2O3 substrate |
title_full |
Ammonia sensing using multilayer graphene grown on Co-Ni/Al2O3 substrate |
title_fullStr |
Ammonia sensing using multilayer graphene grown on Co-Ni/Al2O3 substrate |
title_full_unstemmed |
Ammonia sensing using multilayer graphene grown on Co-Ni/Al2O3 substrate |
title_sort |
ammonia sensing using multilayer graphene grown on co-ni/al2o3 substrate |
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2018 |
url |
http://psasir.upm.edu.my/id/eprint/65456/1/40.pdf http://psasir.upm.edu.my/id/eprint/65456/ http://www.samn2018.upm.edu.my/doc/40.pdf |
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1643838320308912128 |
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13.18916 |