Abstract:
Graphene has got significant scientific attention because of its special chemical,
mechanical and electrical properties. This highly strong two dimensional (2D) material
has prospective application in gas sensors. Carbon monoxide gas sensor are very
important for human health and safety. Carbon monoxide is highly toxic gas and tough
to detect because of its colorless and odorless characteristics. Carbon monoxide can
get into human blood through lungs or skin. It moves into the tissues where it binds
with oxygen and decrease the amount of oxygen there. This leads to headache,
dizziness, confusion and even death at high concentration and longtime exposure.
Herein, we report the use of defected Graphene (usually called reduced Graphene
Oxide), Nitrogen doped reduced Graphene oxide (N-doped rGO) and composites of
reduced Graphene Oxide (rGO) with nanoparticle of metal oxide (Fe3O4, CoOOH) and
MOFs (ZIF-67, Ni-BDC) for carbon monoxide sensing at ambient conditions.
Graphene oxide is prepared by chemical oxidation of graphite and converted into
reduce graphene oxide (rGO) by using phenyl hydrazine. Metal Oxide nanoparticles
(Fe3O4 and CoOOH) and MOFs (ZIF-67 and Ni-BDC) were successfully incorporated
in rGO and employed for carbon monoxide sensing. Nitrogen doping in graphene was
successfully done by using ammonium nitrate as nitrogen source and tested for carbon
monoxide gas sensor. The prepared materials GO, rGO, Fe3O4, CoOOH, ZIF-67,Ni-
BDC and their composites were characterized by X-ray diffraction pattern, Scanning
Electron Microscopy, and FT-IR spectroscopy. Reduced graphene oxide has shown
14 % sensitivity with response time of 120s while nitrogen doped reduced graphene
oxide shows 80% response towards 1000ppm of CO with response time of 30s. Among
Hybrids, rGO/Fe3O4 hybrid has shown no response at room temperature while
rGO/CoOOH, rGO/ZIF67 and rGO/Ni-BDC shows 34%, 90% and 38% response
towards 1000ppm of CO respectively. ZIF-67 gives highest sensitivity (90%) in 20s
for 1000ppm of CO level and is a promising candidate for CO sensing application.
