With growing focus on the use of carbon nanomaterials in chemical sensors, one-dimensional graphene nanoribbon (GNR) has become one of the most attractive channel materials, owing to its enhanced conductance fluctuation by quantum confinement effects and dense, abundant edge sites. Due to the narrow width of a basal plane with one-dimensional morphology, chemical modification of edge sites would greatly affect the electrical channel properties of a GNR. Here, we demonstrate for the first time that chemically functionalizing the edge sites with aminopropylsilane (APS) molecules can significantly enhance the sensing performance of the GNR sensor. The resulting APS-functionalized GNR has a sensitivity ((Î"R/R b ) max ) of â30% at 0.125 ppm nitrogen dioxide (NO 2 ) and an ultrafast response time (â6 s), which are, respectively, 7- and 15-fold enhancements compared to a pristine GNR sensor. This is the fastest and most sensitive gas-sensing performance of all GNR sensors reported. To demonstrate the superiority of the GNR-APS sensor, we compare its sensing performance with that of APS-functionalized carbon nanotube (CNT) and reduced graphene oxide (rGO) sensors prepared in identical synthesis conditions. Very interestingly, the GNR-APS sensor exhibited 30- and 93-fold enhanced sensitivity compared to the CNT-APS and rGO-APS sensors. This might be attributed to highly active edge sites with superior chemical reactivity, which are not present in CNT and rGO materials. Density functional theory clearly shows that the greatly enhanced gas response of GNR with edge functionalization can be attributed to the higher electron densities in the highest occupied molecular orbital levels of GNR-APS and incorporation of additional adsorption sites. This finding is the first demonstration of the importance of edge functionalization of GNR for chemical sensors.
Bibliographical noteFunding Information:
This research was supported by a National Research Foundation of Korea (NRF) (NRF-2018R1A2B3008658), funded by the Center for Advanced Soft Electronics under the Global Frontier Research Program of the Ministry of Science, ICT, and Future Planning, Korea (NRF-2014M3A6A5060937), and also by a Basic Science Research Program through the NRF (2018R1A6A3A01012374). This project utilized resources of the National Energy Research Scientific Computing Center (NERSC), a DOE office of science user facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.
All Science Journal Classification (ASJC) codes
- Materials Science(all)