Energy Technology,
Journal Year:
2024,
Volume and Issue:
12(8)
Published: June 1, 2024
Herein,
a
method
for
synthesizing
highly
porous
single
phase
of
α‐Ni(OH)
2
via
hydrothermal
route
is
presented.
Nitrogen‐
and
phosphorous‐functionalized
carbon
dots
(N,P‐CD
GMP
)
are
first
synthesized
by
thermal
refluxing
1,5′‐guanosine
monophosphate
(GMP)
in
ethylene
glycol.
Then
Ni(OH)
the
presence
N,P‐CD
method.
Microflower‐like
morphology
nanocomposite
‐[N,P‐CD
]
with
significantly
enhanced
Brunauer–Emmett–Teller
surface
area
(454
m
g
−1
formed,
which
32
times
higher
than
that
pristine
.
The
cyclic
voltammetry
plot
suggests
battery‐type
supercapacitor
specific
capacity
632
C
,
6
(107
).
attributable
to
better
intercalation–deintercalation
electrolyte
ions
suitable
pore
volumes.
Electrode
kinetic
studies
measured
at
scan
rate
0.005
V
s
suggest
about
86%
charge
stored
diffusion‐controlled
process
storage
surface‐controlled
capacitive
(e.g.,
0.1
application
demonstrated
fabricating
hybrid
device
]//porous
activated
from
eucalyptus
wood.
retention
capacitance
75%
after
3000
cycles
maximum
energy
density
31
Wh
kg
power
0.76
kW
ACS Nano,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 18, 2025
Biomass-based
luminescent
nanocomposites
have
garnered
significant
attention
due
to
their
renewable,
biocompatible,
and
environmentally
sustainable
characteristics
for
ensuring
information
encryption
security.
Nanomaterials
are
central
this
development,
as
high
surface
area,
tunable
optical
properties,
nanoscale
structural
advantages
enable
enhanced
efficiency,
stability,
adaptability
in
diverse
conditions.
This
review
delves
into
the
principles
of
luminescence,
focusing
on
inherent
bioluminescent
properties
natural
materials,
utilization
biomass
precursors
carbon
dots
(CDs)
aggregation-induced
emission
(AIE)-enhanced
substances,
functional
optimization
materials.
The
role
cellulose
nanocrystals
(CNC),
lignin,
chitosan
key
biomass-derived
nanomaterials
will
be
highlighted,
alongside
interfacial
engineering
strategies
that
further
improve
material
performance.
Recent
advancements
synthesis
integration
anticounterfeiting
systems
discussed
detail.
Furthermore,
advanced
artificial
intelligence
(AI)
technologies
is
explored,
emphasizing
potential
revolutionize
anticounterfeiting.
Current
challenges,
including
scalability,
waste
minimization,
performance
optimization,
critically
examined.
Finally,
outlines
future
research
directions,
application
AI-driven
methodologies
exploration
unconventional
accelerate
development
high-performance,
eco-friendly
solutions.
