The
success
of
tissue
engineering
constructs
in
restoring
healthy
function
is
driven
by
the
interplay
cells
with
their
microenvironmental
cues.
Therefore,
design
materials
typically
guided
ensuring
adequate
mimicry
and
regulation
dynamic
biochemical,
mechanical,
electrical
interactions
that
occur
cellular
extracellular
milieu.
In
this
work,
we
introduce
current
approaches
limitations
to
static
stimuli-responsive
engineering,
a
focus
on
electroactive
materials.
We
consider
mechanisms
material
development
polymers
for
soft
robotics
address
how
these
developments
can
pave
way
‘smart’
devices
recapitulate
key
elements
bioelectromechanics.
By
highlighting
successes
challenges
support
such
devices,
summarize
our
findings
guidelines
direct
future
clinically
translatable
efficacious
functionality
robots.
ACS Applied Electronic Materials,
Год журнала:
2024,
Номер
6(5), С. 3563 - 3573
Опубликована: Апрель 26, 2024
The
emergence
of
wearable
electronic
devices
has
dramatically
changed
people's
daily
life.
However,
the
conductivity
and
wearability
most
fabric
sensors
still
need
to
be
improved.
Therefore,
it
is
great
importance
that
wearable,
flexible
fabrics
prepared
with
excellent
antibacterial,
electrochemical,
electrothermal
properties.
In
this
paper,
a
polypyrrole
(PPy)/carbon
nanotubes
(CNTs)
composite
cotton
(CF)
was
by
in
situ
polymerization.
structure
morphology
were
characterized
Fourier
transform
infrared
spectroscopy
(FTIR),
Raman
(Raman),
scanning
electron
microscope
(SEM).
different
process
conditions
measured
four-point
conductive
performance
fabric,
using
I–V
curve,
cycle
volt–ampere
characteristic
curved
sensitivity
curve
investigate
electrochemical
performance.
addition,
its
antibacterial
properties
measured.
When
concentration
pyrrole
0.2
mol/L,
PPy/CNT/CF
reached
4.5
S/cm.
Furthermore,
capacitance
as
an
electrode
supercapacitor
prototype
could
reach
order
34.4
mF
cm–2.
It
discovered
displayed
specific
capacitive
performance,
good
thermal
conductivity,
property.
A
facile
synthesis
platform
for
the
formation
of
stable
single
crystalline
Ag
dendrites
is
demonstrated.
Using
a
porous
electrospun
polyacrylonitrile
nanofiber
network
on
Al
foil
as
template
facilitates
more
uniform
dendritic
growth
in
presence
D‐glucose.
In
contrast,
denser
polymer
restricts
nucleation
site
availability
foil,
highlighting
critical
role
substrate.
The
silver
reduced
solution
when
two
simultaneous
processes
occur:
electroreduction
+
D‐glucose
and
galvanic
displacement
driven
by
interaction
with
aluminum
High‐resolution
transmission
electron
microscopy
analysis
shows
nature
grown
from
substrate,
revealing
atomic
structures
closely
packed
layers
forming
highly
faulted
face‐centered
cubic
hexagonal
close‐packed
structures.
remarkable
long‐term
stability
primarily
attributed
to
their
structure,
additional
contributions
capping
D‐gluconic
acid,
confirmed
Raman
analysis.
This
novel
approach
generation
has
significant
potential
applications
such
surface‐enhanced
scattering,
which
date
been
considered
be
very
sensitive
environmental
effects.
Journal of Applied Polymer Science,
Год журнала:
2024,
Номер
141(26)
Опубликована: Апрель 17, 2024
Abstract
The
practical
application
of
fiber
membranes
prepared
by
electrostatic
spinning
requires
a
uniform
thickness.
However,
the
parameters
involved
in
process
are
highly
complex,
particularly
when
it
comes
to
precise
control
over
membrane
Hence,
achieving
consistent
and
homogeneous
thickness
for
has
posed
significant
challenges
thus
far.
To
accurately
predict
during
ensure
outcomes,
this
study
employed
polyvinylidene
fluoride
as
raw
material
optimized
preparation
using
an
innovative
airflow‐assisted
strategy.
as‐proposed
strategy
effectively
enhances
volatilization
solvents
within
jet,
also
promotes
jet
stretching
through
assistance
from
airflow,
resulting
more
stable
diameter.
Additionally,
COMSOL
simulations
were
utilized
provide
rational
explanations
these
findings.
By
collecting
multiple
parameters,
including
positive
voltage,
liquid
supply
speed,
winding
solution
concentration,
successfully
developed
artificial
neural
network
(ANN)
that
exhibits
reliable
predictive
capabilities
Notably,
model
demonstrates
remarkable
goodness‐of‐fit
with
R
2
value
0.9981.
Through
integration
ANN
technology,
advancements
have
been
achieved
predicting
controlling
uniformity
electrostatically
spun
polymer
membranes.
