Nature Communications,
Journal Year:
2023,
Volume and Issue:
14(1)
Published: July 18, 2023
Conductive
hydrogels
require
tunable
mechanical
properties,
high
conductivity
and
complicated
3D
structures
for
advanced
functionality
in
(bio)applications.
Here,
we
report
a
straightforward
strategy
to
construct
conductive
by
programable
printing
of
aqueous
inks
rich
poly(3,4-ethylenedioxythiophene):poly(styrene
sulfonate)
(PEDOT:PSS)
inside
oil.
In
this
liquid-in-liquid
method,
assemblies
PEDOT:PSS
colloidal
particles
originating
from
the
phase
polydimethylsiloxane
surfactants
other
form
an
elastic
film
at
liquid-liquid
interface,
allowing
trapping
hydrogel
precursor
designed
nonequilibrium
shapes
subsequent
gelation
and/or
chemical
cross-linking.
Conductivities
up
301
S
m-1
are
achieved
low
content
9
mg
mL-1
two
interpenetrating
networks.
The
effortless
printability
enables
us
tune
hydrogels'
components
thus
facilitating
use
these
as
electromicrofluidic
devices
customize
near-field
communication
(NFC)
implantable
biochips
future.
Nano Letters,
Journal Year:
2019,
Volume and Issue:
19(8), P. 5781 - 5789
Published: July 26, 2019
Tissue-wide
electrophysiology
with
single-cell
and
millisecond
spatiotemporal
resolution
is
critical
for
heart
brain
studies.
Issues
arise,
however,
from
the
invasive,
localized
implantation
of
electronics
that
destroys
well-connected
cellular
networks
within
matured
organs.
Here,
we
report
creation
cyborg
organoids:
three-dimensional
(3D)
assembly
soft,
stretchable
mesh
nanoelectronics
across
entire
organoid
by
cell-cell
attraction
forces
2D-to-3D
tissue
reconfiguration
during
organogenesis.
We
demonstrate
can
migrate
grow
into
initial
2D
cell
layers
to
form
3D
structure
minimal
impact
on
growth
differentiation.
The
intimate
contact
between
dispersed
cells
enables
us
chronically
systematically
observe
evolution,
propagation,
synchronization
bursting
dynamics
in
human
cardiac
organoids
through
their
Advanced Science,
Journal Year:
2019,
Volume and Issue:
6(15)
Published: May 29, 2019
Abstract
Human–machine
interfaces
are
essential
components
between
various
human
and
machine
interactions
such
as
entertainment,
robotics
control,
smart
home,
virtual/augmented
reality,
etc.
Recently,
triboelectric‐based
have
been
developed
toward
flexible
wearable
battery‐less
applications.
However,
most
of
them
exhibit
complicated
structures
a
large
number
electrodes
for
multidirectional
control.
Herein,
bio‐inspired
spider‐net‐coding
(BISNC)
interface
with
great
flexibility,
scalability,
single‐electrode
output
is
proposed,
through
connecting
information‐coding
into
single
triboelectric
electrode.
Two
types
coding
designs
investigated,
i.e.,
information
by
large/small
electrode
width
(L/S
coding)
with/without
at
predefined
position
(0/1
coding).
The
BISNC
shows
high
scalability
detection
and/or
control
multiple
directions,
detecting
different
signal
patterns.
In
addition,
it
also
has
excellent
reliability
robustness
in
actual
usage
scenarios,
since
recognition
patterns
regardless
absolute
amplitude
thereby
not
affected
sliding
speed/force,
humidity,
Based
on
the
concept,
3D
security
code
systems,
electronics
successfully
developed,
indicating
potentials
this
technology
diversified
applications
human–machine
interaction,
security,
robotics,
Internet
Things,
Advanced Functional Materials,
Journal Year:
2021,
Volume and Issue:
31(34)
Published: May 30, 2021
Abstract
Being
capable
of
dealing
with
both
electrical
signals
and
light,
artificial
optoelectronic
synapses
are
great
importance
for
neuromorphic
computing
receiving
a
burgeoning
amount
interest
in
visual
information
processing.
In
this
work,
an
synapse
composed
Al/TiN
x
O
2–
/MoS
2
/ITO
(H‐OSD)
is
proposed
experimentally
realized.
The
H‐OSD
can
enable
basic
voltage‐induced
synaptic
functions
such
as
the
long/short‐term
plasticity
moreover
be
electrically
adjusted.
response
to
light
stimuli,
versatile
advanced
including
memory,
learning‐forgetting‐relearning
successfully
demonstrated,
which
could
enhance
processing
capability
computing.
Most
importantly,
based
on
these
light‐induced
salient
features,
4
×
array
developed
show
potential
application
constructing
system.
It
shown
that
perceiving
memorizing
respectively
relevant
perception
memory
functions,
readily
attained
through
tuning
intensity
number
illuminations.
As
such,
shows
potentials
will
facilitate
applications
electronic
eyes
light‐driven
neurorobotics.
Nature Communications,
Journal Year:
2020,
Volume and Issue:
11(1)
Published: Aug. 25, 2020
Abstract
Brain-machine
interfaces
are
promising
tools
to
restore
lost
motor
functions
and
probe
brain
functional
mechanisms.
As
the
number
of
recording
electrodes
has
been
exponentially
rising,
signal
processing
capability
brain–machine
is
falling
behind.
One
key
bottlenecks
that
they
adopt
conventional
von
Neumann
architecture
with
digital
computation
fundamentally
different
from
working
principle
human
brain.
In
this
work,
we
present
a
memristor-based
neural
analysis
system,
where
bio-plausible
characteristics
memristors
utilized
analyze
signals
in
analog
domain
high
efficiency.
proof-of-concept
demonstration,
memristor
arrays
used
implement
filtering
identification
epilepsy-related
signals,
achieving
accuracy
93.46%.
Remarkably,
our
system
shows
nearly
400×
improvements
power
efficiency
compared
state-of-the-art
complementary
metal-oxide-semiconductor
systems.
This
work
demonstrates
feasibility
using
for
high-performance
next-generation
interfaces.
Chemical Reviews,
Journal Year:
2024,
Volume and Issue:
124(2), P. 455 - 553
Published: Jan. 4, 2024
In
the
era
of
Internet-of-things,
many
things
can
stay
connected;
however,
biological
systems,
including
those
necessary
for
human
health,
remain
unable
to
connected
global
Internet
due
lack
soft
conformal
biosensors.
The
fundamental
challenge
lies
in
fact
that
electronics
and
biology
are
distinct
incompatible,
as
they
based
on
different
materials
via
functioning
principles.
particular,
body
is
curvilinear,
yet
typically
rigid
planar.
Recent
advances
design
have
generated
tremendous
opportunities
wearable
bioelectronics,
which
may
bridge
gap,
enabling
ultimate
dream
healthcare
anyone,
anytime,
anywhere.
We
begin
with
a
review
historical
development
healthcare,
indicating
significant
trend
healthcare.
This
followed
by
focal
point
discussion
about
new
design,
particularly
low-dimensional
nanomaterials.
summarize
material
types
their
attributes
designing
bioelectronic
sensors;
we
also
cover
synthesis
fabrication
methods,
top-down,
bottom-up,
combined
approaches.
Next,
discuss
energy
challenges
progress
made
date.
addition
front-end
devices,
describe
back-end
machine
learning
algorithms,
artificial
intelligence,
telecommunication,
software.
Afterward,
integration
systems
been
applied
various
testbeds
real-world
settings,
laboratories
preclinical
clinical
environments.
Finally,
narrate
remaining
conjunction
our
perspectives.
