Zeitschrift für anorganische und allgemeine Chemie,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 31, 2024
Abstract
In
recent
years,
MOFs
hydrogels
have
attracted
extensive
attention
due
to
their
unique
structure
and
excellent
performance.
MOF‐based
combine
the
highly
ordered
pore
tunability
of
MOF
with
biocompatibility
flexibility
hydrogels,
are
widely
used
in
environmental
governance,
sensors,
biomedicine.
this
review,
we
mainly
summarize
synthesis
methods,
structural
characteristics
mechanical
properties
specific
applications
different
fields
including
adsorption
heavy
metal
ions
pollutant
gases
stress
strain
sensor
drug
delivery.
Finally,
analyze
existing
problems,
provide
suggestions
for
development
direction
future.
This
paper
aims
help
readers
quickly
understand
current
hydrogels.
ACS Applied Materials & Interfaces,
Journal Year:
2025,
Volume and Issue:
17(2), P. 3911 - 3923
Published: Jan. 6, 2025
The
cadmium
(Cd)
in
saline-alkali
soil
poses
a
serious
threat
to
the
ecological
environment
and
human
health.
Suaeda
salsa,
as
hyperaccumulator
plant,
can
remediate
Cd
soil,
but
efficiency
of
phytoremediation
is
low.
To
improve
remediation
effect
pollution
this
study
for
first
time
uses
synergy
hydrogel
salsa
soil.
Hydrogel
possesses
excellent
mechanical
properties
outstanding
adsorption
properties.
In
addition,
increases
content
some
nutrient
elements
improves
physicochemical
water
retention
capacity
improvement
further
promote
growth
salsa.
Meanwhile,
both
have
positive
impact
on
microorganisms.
Our
experiment
provides
brand-new
way
great
significance
health
protection.
Advanced Functional Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 27, 2025
Abstract
Traditional
hydrogels
tend
to
freeze
and
lose
performance
at
low
temperatures,
limiting
their
applications.
Additionally,
need
exhibit
hysteresis,
excellent
cycling
stability,
self‐adhesion
ensure
high‐quality
signal
acquisition
in
complex
environments.
To
address
this
challenge,
study
designed
a
dual‐network
gel
glycerol
(Gly)/H
2
O
solvent
system.
Due
the
combination
of
chemical
physical
crosslinking
(hydrogen
bonding
electrostatic
interactions),
resulting
exhibits
skin‐adaptive
modulus,
high
anti‐freezing
ability,
body
temperature‐induced
adhesion,
electrical
performance,
making
it
suitable
for
wearable
sensors
temperatures.
Based
on
gel,
single‐electrode
triboelectric
nanogenerator
(gel‐TENG)
is
developed,
achieving
efficient
conversion
mechanical
energy
into
energy.
Further
applied
smart
insole,
successfully
enabled
real‐time
visualization
plantar
pressure
distribution
skiing
motion
recognition.
Using
random
forest
machine
learning
algorithm,
system
accurately
classified
11
basic
motions,
classification
accuracy
97.1%.
This
advances
flexible
self‐powered
systems,
supporting
intelligent
materials
research
extreme
ACS Applied Materials & Interfaces,
Journal Year:
2024,
Volume and Issue:
16(43), P. 59412 - 59423
Published: Oct. 22, 2024
Flexible
capacitive
sensors
have
attracted
the
attention
of
researchers
owing
to
their
simple
structure,
ease
realization,
and
wearability.
Currently,
flexible
mainly
three-dimensional
two-dimensional
structures,
which
are
subject
several
limitations
in
applications.
A
low-cost,
high-efficiency,
continuously
processable
process
was
used
wrap
nylon
DTY
(PA)
filaments
on
surface
silver-coated
(SCN)
core
yarns
impregnate
them
with
waterborne
polyurethane
(WPU)
obtain
SCN/PA/WPU
composite
yarns,
were
then
utilized
design
for
preparation
one-dimensionally
structured
sensors.
The
morphology
mechanical
properties
SCN
yarn,
SCN/PA
wrapped
yarn
characterized.
strain-sensing
performance
sensor
analyzed,
monitor
human
physiological
activities.
exhibited
excellent
strain
capacitance
sensing
a
range
up
140%.
With
gauge
factor
0.66
at
10%
tensile
strain,
it
can
detect
strains
as
low
1%
has
good
repeatability,
withstanding
more
than
3200
tensile-unload
cycles
80%
strain.
one-dimensional
structure
be
large-scale
movements
joints
muscles
various
parts
body
signals
tiny
movements,
such
breathing,
coughing,
facial
expressions,
potential
applications
fields
sports
monitoring
smart
wearable.
ACS Sensors,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 18, 2025
The
proliferation
of
novel
technologies
like
virtual
reality,
health
monitoring
has
sparked
a
surge
in
demand
for
wearable
devices,
electronic
skin,
and
other
cutting-edge
technologies.
Flexible
pressure
sensors
serve
as
essential
components
that
have
attracted
considerable
interest.
Most
current
flexible
require
external
power
sources
complex
structures,
presenting
obstacles
when
utilized
on
the
surface
human
body.
This
study
introduces
sensor
based
electrospinning
electrochemical
reactions,
which
does
not
source
while
demonstrating
excellent
sensing
capabilities.
It
is
important
to
note
sensor,
owing
fully
spun
fabrication
process,
demonstrates
superior
breathability
compared
cotton
fabrics.
sensitivity
can
reach
up
143
mV/kPa,
with
wide
operating
range
0
400
kPa,
it
exhibits
remarkable
recognition
capabilities
both
static
dynamic
forces.
Additionally,
features
short
response
time
50
ms
rising
edge
40
falling
edge,
allowing
accurately
detect
applied
under
repeated
stimuli
ranging
from
1
8
Hz.
Furthermore,
efforts
been
made
employ
development
motion
system,
further
exploring
its
potential
within
application
skin
technology.
research
perspective
advancement
future
intelligent
devices.
Endowing
flexible
sensors
with
self-powering
capabilities
is
of
significant
importance.
However,
the
thermoelectric
conversion
gels
reported
so
far
suffer
from
limitations
insufficient
flexibility,
signal
distortion
under
repetitive
deformation,
and
comprehensive
performance,
which
seriously
hinder
their
wide
application.
In
this
work,
we
designed
prepared
eutectogels
by
an
ionic
liquid
a
polymerizable
deep
eutectic
solvent
(PDES),
exhibit
good
mechanical
properties,
adhesion,
excellent
response
performance.
The
Seebeck
coefficient
(Si)
can
reach
30.38
mV
K-1
at
temperature
difference
10
K.
To
amplify
self-powered
performance
individual
gel
units,
assembled
them
into
arrays
further
sensors.
combination
K-means
clustering
algorithm
machine
learning
filter
out
noise
traditional
improve
consistency
signals,
thereby
enabling
prediction
absolute
conditions
or
20
K
difference.
This
study
also
demonstrates
potential
application
these
in
sensing.