Asia-Pacific Journal of Chemical Engineering,
Год журнала:
2024,
Номер
19(5)
Опубликована: Июнь 30, 2024
Abstract
This
study
investigates
the
environmentally
friendly
synthesis
of
ZrO
2
‐NdO
mixed
nanomaterial
using
green
reducing
and
capping
agents
derived
from
plant
Amaranthus
viridis
.
X‐ray
diffraction
(XRD)
analysis
confirmed
successful
nanomaterial,
revealing
an
optical
band
gap
2.5
eV.
The
morphology
was
characterized
by
spherical‐shaped
particles
with
average
size
ranging
66
to
77
nm.
synthesized
evaluated
for
its
potential
application
as
electrode
material
in
energy
devices,
specifically
pseudocapacitors
water
splitting
studies.
Electrochemical
performance
assessed
cyclic
voltammetry
(CV)
galvanostatic
charge–discharge
(GCD)
techniques.
Notably,
a
specific
capacitance
573.5
F/g
achieved
through
CV
at
scan
rate
mV/s.
Fabricated
electrocatalyst
further
analyzed
hydrogen
evolution
reaction
(HER)
oxygen
(OER),
results
showed
better
over
value
164
mV
HER
stability
endorsed
large‐scale
commercialization
possibility
ZrO‐NdO‐based
material.
ACS Sustainable Chemistry & Engineering,
Год журнала:
2024,
Номер
12(22), С. 8340 - 8352
Опубликована: Май 17, 2024
In
addressing
the
challenging
quest
for
an
efficient
electrocatalyst
in
electrochemical
water
splitting,
we
demonstrate
Fe-doped
NiO
nanosheet
array
anchored
on
nickel
foam
synthesized
via
a
two-step
process.
Demonstrating
exceptional
performance
alkaline
electrolyte,
FeNiO
catalysts
exhibit
oxygen
evolution
reaction
with
low
potential
of
1.52
V
vs
RHE
and
urea
oxidation
1.32
@
10
mA/cm2.
The
bifunctional
electrolyzer
generates
mA/cm2
current
at
1.95
1.59
electrolysis
ambient
temperature.
Promisingly,
catalyst
based
hydrogen
industrial-scale
density
400
cell
voltage
just
1.91
concentrated
electrolyte
elevated
temperature
(80
°C)
due
to
dimensionally
stable
robust
behavior
self-supported
catalyst.
activation
energy
is
found
be
52
kJ/mol.
present
also
300
4
M
KOH
50
°C
more
than
20
h.
synergy
induced
by
Fe
doping
into
activates
catalytic
sites,
expediting
charge
transfer
kinetics.
research
report
highlights
as
practical
cost-effective
approach
green
production
splitting.
Particle & Particle Systems Characterization,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 20, 2025
Abstract
The
idea
of
grid‐scale
hydrogen
production
by
water
electrolysis
has
been
made
possible
developing
catalyst‐anchored
three‐dimensional
(3D)
foam‐based
electrodes.
Catalytic
performance
in
and
oxygen
evolution
reactions
is
improved
incorporating
catalyst
3D
interlinked
porous
architecture,
which
enhances
electrical
conductivity
speeds
up
the
discharge
gas
bubbles.
detailed
study
on
role‐play
frameworks
energy
generation
explained
this
article.
review
also
focuses
recent
development
utilizing
these
substrates
field
electrochemistry.
Furthermore,
it
imperative
to
enhance
their
compatibility
with
renewable
systems
high‐temperature
for
sustainable
hydrogen.
Therefore,
briefly
explores
innovative
design
self‐supported
framework
electrodes
using
heterostructures
doping
techniques
develop
stable,
durable,
efficient
electrocatalysts.
These
catalysts
aim
provide
near‐zero
overpotential,
high
selectivity,
long‐term
stability
through
electrolysis,
paving
way
commercial‐scale
green
production.
can
emerge
as
a
key
technology
ABSTRACT
The
growing
global
energy
demand
and
environmental
concerns
like
greenhouse
gas
emissions
call
for
clean
solutions.
Hydrogen
energy,
with
high
caloric
value
low
impact,
is
a
promising
alternative,
especially
when
produced
via
proton
exchange
membrane
water
electrolysis
(PEMWE).
This
process
relies
on
the
hydrogen
evolution
reaction
(HER)
oxygen
(OER),
both
requiring
efficient
electrocatalysts.
Platinum
(Pt),
most
effective
HER
catalyst,
limited
by
cost
scarcity,
prompting
research
into
Pt
alternatives
ruthenium‐based,
transition
metal
derivatives,
metal‐free
catalysts
that
balance
cost,
efficiency,
stability.
review
explores
mechanisms,
Pt‐free
catalyst
innovations,
impact
of
structural
interfacial
electrode
optimization
performance
in
acidic
media.
It
also
examines
electrochemical
evaluation
techniques,
material
characterization,
role
machine
learning
design.
By
providing
framework
development,
this
supports
advancements
sustainable
technologies.
