Nanoenergy Advances,
Journal Year:
2024,
Volume and Issue:
4(4), P. 367 - 398
Published: Dec. 23, 2024
With
the
rapid
advancement
of
Internet
Things
(IoT)
era,
demand
for
wireless
sensing
and
communication
is
increasingly
prominent.
Tens
thousands
nodes
have
presented
new
challenges
to
distributed
energy.
As
a
green
energy
harvesting
technology,
triboelectric
nanogenerator
(TENG),
with
its
outstanding
characteristics
simple
configuration,
low
cost,
high
compatibility,
demonstrates
significant
advantages
in
self-powered
systems
great
application
potential
fields
human–machine
interaction
wearable
devices
IoT
era.
More
importantly,
electric
displacement
field
modulated
electromagnetic
waves
that
TENG
triggers
opened
paradigm
communication,
making
up
disadvantages
power
supply
by
traditional
sources.
This
review
comprehensively
discusses
latest
scientific
technological
progress
technology
prompted
further
applications
various
promising
fields.
Finally,
summary
outlook
TENG-based
synergic
are
presented,
aiming
stimulate
future
innovation
accelerating
shift
fully
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 29, 2024
Abstract
Triboelectric
nanogenerators
(TENGs)
represent
an
effective
approach
for
transforming
mechanical
energy
into
electrical
power,
making
them
suitable
wearable
electronic
applications.
Hydrogels
as
TENGs
electrodes
are
common,
but
their
use
direct
triboelectric
layers
remains
insufficiently
explored.
Here,
a
novel
zwitterionic
monomer
3‐{1‐[6‐(hydroxymethyl)‐2‐methyl‐3,8‐dioxo‐9‐aza‐4,7‐dioxadodec‐1‐en‐12‐yl]imidazol‐3‐ium‐3‐yl}propane‐1‐sulfonate
(VNIPS)
is
synthesized
in
combination
with
acrylic
acid
(AA)
and
sulfobetaine
methacrylate
(SBMA)
to
create
double‐network
hydrogel.
The
hydrogel
developed
using
solvent‐exchange
process
that
facilitated
the
creation
of
microphase‐separated
domains,
notablely
increasing
its
strength
(211.9
kPa,
472.3%),
conductivity
(0.6
mS
cm
−1
),
anti‐freezing
capability
(−18.3
°C).
In
addition,
hydrogel's
hydrophilic
groups
interacted
water
molecules,
reducing
charge
loss
humid
conditions.
When
employed
positive
layer,
hydrogel‐based
achieved
substantial
density
456
µC
m
−
2
output
power
464
mW
,
while
maintaining
steady
open‐circuit
voltage
(V
oc
)
97
V,
92%
retention
under
80%
relative
humidity.
Moreover,
strong
adhesion
biocompatibility
make
it
applications,
such
motion
sensing
Morse
code
communication.
This
work
demonstrates
feasibility
hydrogels
materials,
providing
new
strategy
creating
efficient,
humidity‐resistant
harvesters.
Advanced Functional Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 13, 2025
Abstract
Flexible
sensors
are
increasingly
recognized
for
their
transformative
potential
in
wearable
electronic
devices,
medical
monitoring,
and
human‐computer
interaction.
Despite
the
advancements,
developing
a
flexible
sensor
array
with
simple
structure
large
area
preparation
effective
signal
sensing
monitoring
capabilities
remains
challenging.
In
this
study,
hierarchical
rGO‐based
triboelectric
(HG‐FTS)
is
scalably
prepared
by
blade‐coating
approach,
which
nitrogen‐doped
reduced
graphene
oxide
(rGO)
sheet
hierarchically
deposited
polydimethylsiloxane
(PDMS)
layer.
The
performed
single
electrode
mode
not
only
demonstrates
exceptional
reliability
consistency
but
also
achieves
maximum
voltage
of
≈129
V
power
density
≈0.5
W
m
−2
.
These
characteristics
enable
real‐time
human
physiological
signals
joint
motion
high
fidelity.
Furthermore,
an
intelligent
interactive
control
system
developed
using
HG‐FTS,
featuring
digital
touch
screen
rectangular
pattern.
build
can
be
successfully
used
pressure
sensing,
object
shape
recognition,
trajectory
tracking.
This
work
provides
viable
solution
to
high‐performance
manufacturing
application
HG‐FTS
interaction,
sensing.
Advanced Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 18, 2025
Abstract
3D
printing
has
revolutionized
the
development
of
flexible
pressure
sensors
by
enabling
precise
fabrication
diverse
microstructures
that
significantly
enhance
sensor
performance.
These
advancements
have
substantially
improved
key
attributes
such
as
sensitivity,
response
time,
and
durability,
facilitating
applications
in
wearable
electronics,
robotics,
human–machine
interfaces.
This
review
provides
a
comprehensive
analysis
sensing
mechanisms
these
sensors,
emphasizing
role
microstructures,
micro‐patterned,
microporous,
hierarchical
designs,
optimizing
The
advantages
techniques,
including
direct
indirect
methods,
creation
complex
with
high
precision
adaptability
are
highlighted.
Specific
applications,
human
physiological
signal
monitoring,
motion
detection,
soft
emerging
explored
to
demonstrate
versatility
sensors.
Additionally,
this
briefly
discusses
challenges,
material
compatibility,
optimization
difficulties,
environmental
stability,
well
trends,
integration
advanced
technologies,
innovative
multidimensional
promising
avenues
for
future
advancements.
By
summarizing
recent
progress
identifying
opportunities
innovation,
critical
insights
into
bridging
gap
between
research
real‐world
helping
accelerate
evolution
sophisticated
3D‐printed
microstructures.
physica status solidi (a),
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 23, 2025
Gait
tracking
plays
a
crucial
role
in
postoperative
rehabilitation
training
by
facilitating
the
assessment
of
recovery
progress
and
ensuring
timely
interventions
to
improve
outcomes.
Herein,
flexible
wearable
droplet‐solid‐mode
triboelectric
foot
sensor
(DTFS)
array
is
reported
for
monitoring
training.
The
conventional
solid–solid
contact
interface
replaced
with
solid–liquid
interface,
avoiding
material
wear
degradation
output.
Additionally,
three
interconnected
DTFS
cells
are
integrally
molded
using
3D
printing
technology.
Results
demonstrate
that
DTFS's
output
voltage
amplitude
varies
applied
frequency
acceleration,
providing
reliable
stable
responses
external
stimuli.
When
attached
heel
an
insole,
array,
its
compact
design
configuration,
produces
distinct
electrical
signals
under
different
gaits
enhanced
data
collection
efficiency.
Using
artificial
intelligence
algorithms
analysis,
system
enables
real‐time
automated
gait
high
recognition
accuracy
exceeding
96%.
This
innovative
solution
holds
promise
continuous
tracking,
supports
doctors’
decision‐making
data‐driven
insights,
paves
way
patients’
home
healthcare
through
integration
wireless
transmission
systems
near
future.
