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초록· 키워드
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Graphene is a promising material to use in vapor sensor material since it can be functionalized for a specific chemical gas. Here we present a way to improve the selectivity of graphene chemical sensors by using single-stranded DNAs (ssDNAs) as a sensing agent. We analyze the sensitivity and recovery of the ssDNA coated graphene devices with the different DNA sequences. According to the difference of guanine(G) and cytosine(C) rate in DNA sequence, the sensitivity and recovery are changed for a specific gas. The resulting devices show a higher recovery rate to the baseline associated with bare graphene at room temperature. We can classify NH3, NO2, CO, SO2 vapor based on the pattern analysis of the sensor array using Principle Component Analysis (PCA), in terms of the sensitivity and recovery rate.
목차
Abstract
Ⅰ. 서론
Ⅱ. 실험의 설계 및 수행
Ⅲ. 결론
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UCI(KEPA) : I410-ECN-0101-2016-430-001897953