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Journal of materials chemistry. C, Materials for optical and electronic devices, 2019, Vol.7 (2), p.5995-63
2019
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Autor(en) / Beteiligte
Titel
Controllable growth of vertically oriented graphene for high sensitivity gas detection
Ist Teil von
  • Journal of materials chemistry. C, Materials for optical and electronic devices, 2019, Vol.7 (2), p.5995-63
Ort / Verlag
United States: Royal Society of Chemistry
Erscheinungsjahr
2019
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • This paper sheds light on the effects of process parameters on the low-temperature growth of vertical graphene nano-petals (VGNPs) by plasma-assisted chemical vapor deposition (PACVD) at 550 °C without the presence of any catalyst or post-transfer treatment. The parameters include substrate temperature, plasma power and growth time. The significant influence of these variable parameters reveals the morphological evolution, growth rate and quality of VGNPs. Furthermore, the defect-guided growth mechanism of the VGNPs is discussed in detail. The as-grown VGNPs possess high hydrophobicity (water contact angle: 137°) due to their unique physicochemical properties, ultra-high specific surface area, exposed sharp edges and non-stacking three-dimensional geometry. This study provides a methodology for optimizing the conditions to prepare VGNPs. A gas sensor exhibits superior sensitivity due to high specific surface area and a parts-per-trillion (ppt) level of NH 3 detection capabilities and is directly manufactured on a SiO 2 substrate with VGNPs. Moreover, Joule-heating expels molecules by physisorption from the vertical surface leading to fully reversible and low-power operation. Our study may provide new insights into the improved design of graphene-based sensing applications. Directly synthesize vertical graphene nano-petals (VGNPs) on SiO 2 substrate by PACVD, the growth temperature is significantly reduced and reaches at 550 °C. We utilize the unique topography of VGNPs to investigate the ammonia gas sensitivity and realize the ppt level detection ability.
Sprache
Englisch
Identifikatoren
ISSN: 2050-7526
eISSN: 2050-7534
DOI: 10.1039/c9tc01246j
Titel-ID: cdi_rsc_primary_c9tc01246j

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