Sustainable Chemistry for the Environment,
Год журнала:
2024,
Номер
7, С. 100138 - 100138
Опубликована: Июль 30, 2024
In
this
study,
BiOCl-Fe2O3
nanocomposite
was
synthesized
by
mixing
1:1
ratio
of
pre-prepared
BiOCl
and
Fe2O3
in
100
mL
H2O
using
Cocos
nucifera
(coconut
milk)
as
a
green
fuel
through
the
microwave
irradiation
method.
X-ray
diffraction
analysis
(XRD),
Scanning
electron
microscopy
(SEM)
with,
Fourier
transform
infrared
spectroscopy
(FTIR),
UV–vis
spectroscopy(UV–vis),
photoluminescence
(PL)
were
used
to
determine
structure,
morphology,
optical
features
synthesised
nanocomposites.
The
characterized
composites
dye
degradation
electrochemical
activity.
Synthesized
BiOCl-Fe2O3were
degraded
methylene
blue
(MB)
96.2
%
105
min
visible
light.
BiOCl-Fe2O3exhibits
significant
catalytic
activity
towards
dopamine(DA)
under
optimal
conditions.
Cyclic
Voltammetry(CV)
Linear
sweep
voltammetry
(LSV)
with
different
concentrations
DA
studied.
These
results
indicate
that
is
an
effective
approach
for
precise
reliable
identification
signals
biological
samples.
Sustainable Chemistry for the Environment,
Год журнала:
2024,
Номер
7, С. 100138 - 100138
Опубликована: Июль 30, 2024
In
this
study,
BiOCl-Fe2O3
nanocomposite
was
synthesized
by
mixing
1:1
ratio
of
pre-prepared
BiOCl
and
Fe2O3
in
100
mL
H2O
using
Cocos
nucifera
(coconut
milk)
as
a
green
fuel
through
the
microwave
irradiation
method.
X-ray
diffraction
analysis
(XRD),
Scanning
electron
microscopy
(SEM)
with,
Fourier
transform
infrared
spectroscopy
(FTIR),
UV–vis
spectroscopy(UV–vis),
photoluminescence
(PL)
were
used
to
determine
structure,
morphology,
optical
features
synthesised
nanocomposites.
The
characterized
composites
dye
degradation
electrochemical
activity.
Synthesized
BiOCl-Fe2O3were
degraded
methylene
blue
(MB)
96.2
%
105
min
visible
light.
BiOCl-Fe2O3exhibits
significant
catalytic
activity
towards
dopamine(DA)
under
optimal
conditions.
Cyclic
Voltammetry(CV)
Linear
sweep
voltammetry
(LSV)
with
different
concentrations
DA
studied.
These
results
indicate
that
is
an
effective
approach
for
precise
reliable
identification
signals
biological
samples.
