Tuning Carbon Nanofiber Density for Optimized Sensing of Ethanol
M. Shooshtari (Institute of Microelectronics of Seville (IMSE-CNM), TU Delft - Electronic Components, Technology and Materials)
S. Vollebregt (TU Delft - Electronic Components, Technology and Materials)
S. Pahlavan (Institute of Microelectronics of Seville (IMSE-CNM))
T. Serrano-Gotarredona (Institute of Microelectronics of Seville (IMSE-CNM))
B. Linares-Barranco (Institute of Microelectronics of Seville (IMSE-CNM))
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Abstract
In this study, we investigated the effect of vertically aligned carbon nanofiber (VACNF) density on ethanol vapor sensing performance. VACNFs were synthesized on Si substrates using plasma-enhanced chemical vapor deposition (PECVD), where varying the acetylene flow rate resulted in different fiber densities. Morphological characterization confirmed that higher acetylene flow leads to improved alignment and denser CNF networks. Raman spectroscopy revealed reduced defect levels and increased graphitization with increasing density. Gas sensing measurements showed that moderate to high CNF densities significantly enhance sensor conductivity and ethanol sensitivity due to improved charge transport paths and increased active surface area. These results highlight the importance of CNF density optimization in designing high-performance gas sensors.
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