Macromolecules,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 24, 2025
Owing
to
their
extensive
application
scope,
elastomers
that
combine
high
strength
and
excellent
self-healing
efficiency
have
always
attracted
significant
attention
are
still
a
contradiction.
In
this
study,
novel
PU
elastomer
was
prepared
by
combining
rigid
poly(amic
acid)
(PAA)
chain
segments
3,3-dithiodipropionic
dihydrazide
(DPH)
containing
sextuple
hydrogen-bonding
units
disulfide
bonds.
The
exhibited
tensile
of
50.1
MPa
toughness
144.2
MJ/m3.
PAA
serve
as
framework,
significantly
enhancing
the
mechanical
elastomer.
Meanwhile,
DPH
with
bonds
enabled
exhibit
an
96.1%
after
12
h
at
80
°C.
Additionally,
strong
reversible
cross-linking
arrays
in
endows
it
strength,
ability,
recyclability,
allowing
be
recycled
hot
pressing
dissolution.
Advanced Science,
Journal Year:
2023,
Volume and Issue:
11(10)
Published: Dec. 22, 2023
Abstract
Flexible
electronic
sensors
are
receiving
numerous
research
interests
for
their
potential
in
skins
(e‐skins),
wearable
human‐machine
interfacing,
and
smart
diagnostic
healthcare
sensing.
However,
the
preparation
of
multifunctional
flexible
electronics
with
high
sensitivity,
broad
sensing
range,
fast
response,
efficient
healability,
reliable
antibacterial
capability
is
still
a
substantial
challenge.
Herein,
bioinspired
by
highly
sensitive
human
skin
microstructure
(protective
epidermis/spinous
structure/nerve
conduction
network),
bionic
prepared
face‐to‐face
assembly
newly
healable,
recyclable,
polyurethane
elastomer
matrix
conductive
MXene
nanosheets‐coated
microdome
array
after
ingenious
templating
method
as
protective
epidermis
layer/sensing
layer,
an
interdigitated
electrode
signal
transmission
layer.
The
functionalized
triple
dynamic
bonds
(reversible
hydrogen
bonds,
oxime
carbamate
copper
(II)
ion
coordination
bonds)
prepared,
demonstrating
excellent
healability
healing
efficiency,
robust
recyclability,
capability,
well
good
biocompatibility.
Benefiting
from
superior
mechanical
performance
unique
sensor,
as‐assembled
exhibit
admirable
performances
featuring
ultrahigh
sensitivity
(up
to
1573.05
kPa
−1
),
range
325
kPa),
reproducibility,
response
time
(≈4
ms),
low
detection
limit
(≈0.98
Pa)
monitoring,
performance.
Soft Science,
Journal Year:
2024,
Volume and Issue:
4(2)
Published: May 14, 2024
The
skin,
a
vital
medium
for
human-environment
communication,
stands
as
an
indispensable
and
pivotal
element
in
the
realms
of
both
production
daily
life.
As
landscape
science
technology
undergoes
gradual
evolution
demand
seamless
human-machine
interfaces
continues
to
surge,
escalating
need
emerges
counterpart
our
biological
skin
-
electronic
skins
(e-skins).
Achieving
high-performance
sensing
capabilities
comparable
has
consistently
posed
formidable
challenge.
In
this
article,
we
systematically
outline
fundamental
strategies
enabling
e-skins
with
including
strain
sensing,
pressure
shear
temperature
humidity
self-healing.
Subsequently,
complex
e-skin
systems
current
major
applications
were
briefly
introduced.
We
conclude
by
envisioning
future
trajectory,
anticipating
continued
advancements
transformative
innovations
shaping
dynamic
technology.
This
article
provides
profound
insight
into
state
e-skins,
potentially
inspiring
scholars
explore
new
possibilities.
ACS Applied Materials & Interfaces,
Journal Year:
2024,
Volume and Issue:
16(25), P. 32727 - 32738
Published: June 12, 2024
Enhancing
the
sensitivity
of
capacitive
pressure
sensors
through
microstructure
design
may
compromise
reliability
device
and
rely
on
intricate
manufacturing
processes.
It
is
an
effective
way
to
solve
this
issue
by
balancing
intrinsic
properties
(elastic
modulus
dielectric
constant)
layer
materials.
Here,
we
introduce
a
liquid
metal
(LM)
hybrid
elastomer
prepared
chain-extension-free
polyurethane
(PU)
LM.
The
synergistic
strategies
extender-free
LM
doping
effectively
reduce
elastic
(7.6
±
0.2−2.1
0.3
MPa)
enhance
constant
(5.12−8.17
@1
kHz)
elastomers.
Interestingly,
combines
reprocessability,
recyclability,
photothermal
conversion.
obtained
flexible
sensor
can
be
used
for
detecting
hand
throat
muscle
movements,
high-precision
speech
recognition
seven
words
has
been
using
convolutional
neural
network
(CNN)
in
deep
learning.
This
work
provides
idea
designing
wearable,
recyclable,
intelligent
control
sensors.
Polymers,
Journal Year:
2024,
Volume and Issue:
16(15), P. 2155 - 2155
Published: July 29, 2024
Amid
environmental
pollution
and
resource
depletion,
developing
utilizing
biomass
resources
as
alternatives
to
petroleum
is
a
prominent
research
focus.
Driven
by
protection
sustainable
development,
the
shift
from
petroleum-based
bio-based
polyurethane
prevailing
trend
in
material
development.
Biomass
sources
such
vegetable
oil,
polysaccharides,
lignin
offer
extensive
application
prospects
production.
Functional
modifications
of
these
polyurethanes
can
further
expand
their
range.
This
article
explores
preparation
various
polyurethanes,
applications
across
different
fields,
anticipated
future
development
uses.
Small,
Journal Year:
2024,
Volume and Issue:
20(46)
Published: Aug. 8, 2024
Abstract
Scoliosis
often
occurs
in
adolescents
and
seriously
affects
physical
development
health.
Traditionally,
medical
imaging
is
the
most
common
means
of
evaluating
corrective
effect
bracing
during
treatment.
However,
approach
falls
short
providing
real‐time
feedback,
optimal
force
remains
unclear,
potentially
slowing
patient's
recovery
progress.
To
tackle
these
challenges,
an
all‐in‐one
integrated
array
pressure
sensors
sEMG
electrodes
based
on
hierarchical
MXene/chitosan/polydimethylsiloxane
(PDMS)/polyurethane
sponge
MXene/polyimide
(PI)
developed.
Benefiting
from
microstructured
modulus
enhancement
PDMS,
sensor
demonstrates
a
high
sensitivity
444.3
kPa
−1
broad
linear
detection
range
(up
to
81.6
kPa).
With
help
electrostatic
attraction
chitosan
interface
locking
achieves
remarkable
stability
over
100
000
cycles.
Simultaneously,
offer
exceptional
stretchability
flexibility,
functioning
effectively
at
60%
strain,
which
ensures
precise
signal
capture
for
various
human
motions.
After
integrating
developed
arrays
into
commercial
scoliosis
brace,
system
can
accurately
categorize
motion
predict
Cobb
angles
aided
by
deep
learning.
This
study
provides
insights
brace
effectiveness
patient
progress,
offering
new
ideas
improving
efficiency
