Recent Progress in Materials,
Journal Year:
2025,
Volume and Issue:
07(01), P. 1 - 50
Published: Jan. 21, 2025
This
study
investigates
the
hypothesis
that
diverse
synthesis
techniques
can
yield
cellulose-graphene
hybrids
with
tailored
properties
for
specific
applications,
enabling
advancements
in
flexible
electronics,
energy
storage,
environmental
remediation,
and
biomedical
devices.
We
examined
compared
multiple
methods,
including
chemical
reduction,
in-situ
synthesis,
green
using
natural
reducing
agents,
solvent-assisted
approaches,
hydrothermal
solvothermal
techniques,
mechanical
treatments,
electrochemical
exfoliation.
Each
method
was
assessed
its
impact
on
material
properties,
scalability,
footprint.
Chemical
reduction
resulted
uniform
graphene
dispersion
superior
electrical
conductivity,
I(D)/I(G)
ratio
Raman
spectra
indicating
successful
of
oxide
(GO)
to
reduced
(rGO).
Green
particularly
cow
urine
as
a
agent,
provided
an
eco-friendly
alternative,
leveraging
constituents
reduce
GO
rGO
while
minimizing
impact.
Mechanical
treatments
effectively
prepared
cellulose
microfibers
compatibility
graphene,
enhancing
interfacial
interactions
stress
transfer
resulting
composites.
Solvent-assisted
allowed
precise
tuning
composite
through
selection
appropriate
solvents
processing
conditions.
Hydrothermal
methods
produced
high
purity
uniformity
under
high-temperature
high-pressure
conditions,
facilitating
promoting
strong
bonding
between
graphene.
Electrochemical
exfoliation
generated
high-quality
controlled
characteristics,
allowing
it
produce
fewer
defects
other
methods.
Findings
reveal
synthesized
these
exhibit
significant
improvements
thermal
stability,
strength.
For
instance,
even
low
additions
(3
wt%)
surpassed
percolation
threshold,
conductivity
1.9
×
10<sup>-5</sup>
S
cm<sup>-1</sup>
cellulose/rGO
(8
aerogels.
These
enhanced
underscore
importance
carefully
selecting
optimize
characteristics
target
applications.
The
research
provides
comprehensive
understanding
synthesis-method-property
relationships,
offering
valuable
insights
development
advanced
hybrid
materials
highlighting
their
transformative
potential
across
various
high-impact
fields,
storage
devices,
remediation
systems,
ChemistrySelect,
Journal Year:
2025,
Volume and Issue:
10(1)
Published: Jan. 1, 2025
Abstract
Graphitic
carbon
nitride
(g‐CN)
is
cost‐effective
and
economically
sustainable
carbon‐based
material
with
excellent
physicochemical
properties.
Previously,
g‐CN
has
been
extensively
used
as
efficient
electrode
for
the
construction
of
electrochemical
sensors,
energy
storage
applications.
The
performance
sensors
devices
can
be
affected
by
presence
catalytic
properties
materials.
good
further
improved
combining
it
nanostructured
g‐CN‐based
composite
materials
may
exhibits
higher
which
associated
to
synergistic
interactions.
Thus,
various
have
designed
fabricated
sensing
exhibited
determination
toxic
compounds
such
nitro‐aromatics
phenolic
compounds.
In
this
mini
review
article,
we
summarized
progress
in
its
fabrication
devices.
We
believe
that
present
article
would
beneficial
researchers
working
on
ACS Applied Materials & Interfaces,
Journal Year:
2024,
Volume and Issue:
16(17), P. 21367 - 21382
Published: April 17, 2024
Recent
advances
in
paper-based
microsupercapacitors
(p-MSCs)
have
attracted
significant
attention
due
to
their
potential
as
substrates
for
flexible
electronics.
This
review
summarizes
progress
the
field
of
p-MSCs,
discussing
challenges
and
prospects.
It
covers
various
aspects,
including
fundamental
characteristics
paper,
modification
paper
with
functional
materials,
different
methods
device
fabrication.
The
critically
analyzes
recent
advancements,
fabrication
techniques
exploring
applications
benefits,
such
flexibility,
cost-effectiveness,
sustainability.
Additionally,
this
highlights
gaps
current
research,
guiding
future
investigations
innovations
field.
provides
an
overview
state
p-MSCs
offers
valuable
insights
researchers
professionals
critical
analysis
discussion
presented
herein
offer
a
roadmap
development
impact
on
domain
Small,
Journal Year:
2024,
Volume and Issue:
20(45)
Published: July 19, 2024
Abstract
Polysulfide
shuttle
and
sluggish
sulfur
redox
kinetics
remain
key
challenges
in
lithium–sulfur
batteries.
Previous
researches
have
shown
that
introducing
oxygen
into
transition
metal
sulfides
helps
to
capture
polysulfides
enhance
their
conversion
kinetics.
Based
on
this,
further
investigations
are
conducted
explore
the
impact
of
doping
levels
physical‐chemical
properties
electrocatalytic
performance
MoS
2
.
The
findings
reveal
doped
with
high‐content
exhibits
enhanced
conductivity
compared
low‐content
doping,
which
can
be
attributed
alteration
crystal
structure
from
2H‐phase
1T‐phase,
introduction
increased
Li–O
interactions,
effect
defects
resulting
high‐oxygen
doping.
Consequently,
batteries
using
as
a
catalyst
deliver
high
discharge
capacity
1015
mAh
g
−1
at
0.25C
maintain
78.5%
after
300
more
cycles.
Specifically,
employing
paper‐based
electrodedemonstrate
an
areal
3.91
cm
−2
0.15C,
even
loading
4.1
mg
electrolyte
6.7
µL
These
results
indicate
modify
,
shows
promise
efficient
for
Advanced Science,
Journal Year:
2023,
Volume and Issue:
11(11)
Published: Dec. 31, 2023
Abstract
Personalized
healthcare
management
is
an
emerging
field
that
requires
the
development
of
environment‐friendly,
integrated,
and
electrochemical
multimodal
devices.
In
this
study,
concept
integrated
paper‐based
biosensors
(IFP
−Multi
)
for
personalized
introduced.
By
leveraging
ink
printing
technology
a
ChatGPT–bioelectronic
interface,
these
offer
ultrahigh
areal‐specific
capacitance
(74633
mF
cm
−2
),
excellent
mechanical
properties,
multifunctional
sensing
humidity
power
generation
capabilities.
More
importantly,
IFP
devices
have
potential
to
simulate
deaf‐mute
vocalization
can
be
into
wearable
sensors
detect
muscle
contractions
bending
motions.
Moreover,
they
also
enable
monitoring
physiological
signals
from
various
body
parts,
such
as
throat,
nape,
elbow,
wrist,
knee,
successfully
record
sharp
repeatable
generated
by
contractions.
addition,
demonstrate
self‐powered
handwriting
moisture
sweat‐sensing
applications.
As
proof‐of‐concept,
GPT
3.5
model‐based
fine‐tuning
prediction
pipeline
utilizes
recorded
through
showcased,
enabling
artificial
intelligence
with
capabilities
management.
This
work
presents
promising
ecofriendly
approach
developing
devices,
paving
way
new
era
advancements.
