Device,
Journal Year:
2023,
Volume and Issue:
1(5), P. 100117 - 100117
Published: Oct. 24, 2023
Implantable
devices
hold
promise
for
revolutionizing
personalized
healthcare,
but
the
inherent
invasiveness
of
implantation
surgeries,
among
other
obstacles,
hinders
their
widespread
application.
In
this
work,
we
present
an
implantable
wireless
glucose
monitor
made
with
on
shape-memory
electronic
device
(SMED)
that
can
be
implanted
minimal
invasiveness.
The
is
fabricated
by
printing
inductive-capacitive
(LC)
circuit
and
a
poly(3-aminophenylboronic
acid)
(PAPBA)/glucose
oxidase
(GOx)/graphene
oxide
(GO)
sensing
layer
poly(D,L-lactide-co-caprolactone)-based
(PCLAU)
layer.
To
demonstrate,
was
rolled
up,
injected
into
mice
using
syringe,
later
recovered
to
its
original
planar
shape
under
mild
thermal
stimulations.
biocompatible
SMED
has
high
sensitivity,
specificity,
reversible
characteristics
broad
linear
detection
range,
providing
accurate
reliable
platform
in
vivo
continuous
monitoring.
This
strategy
reduces
wound
area
∼73%
required
healing
time
∼45%,
thus
effectively
addressing
general
problem
faced
devices.
Device,
Journal Year:
2023,
Volume and Issue:
1(5), P. 100117 - 100117
Published: Oct. 24, 2023
Implantable
devices
hold
promise
for
revolutionizing
personalized
healthcare,
but
the
inherent
invasiveness
of
implantation
surgeries,
among
other
obstacles,
hinders
their
widespread
application.
In
this
work,
we
present
an
implantable
wireless
glucose
monitor
made
with
on
shape-memory
electronic
device
(SMED)
that
can
be
implanted
minimal
invasiveness.
The
is
fabricated
by
printing
inductive-capacitive
(LC)
circuit
and
a
poly(3-aminophenylboronic
acid)
(PAPBA)/glucose
oxidase
(GOx)/graphene
oxide
(GO)
sensing
layer
poly(D,L-lactide-co-caprolactone)-based
(PCLAU)
layer.
To
demonstrate,
was
rolled
up,
injected
into
mice
using
syringe,
later
recovered
to
its
original
planar
shape
under
mild
thermal
stimulations.
biocompatible
SMED
has
high
sensitivity,
specificity,
reversible
characteristics
broad
linear
detection
range,
providing
accurate
reliable
platform
in
vivo
continuous
monitoring.
This
strategy
reduces
wound
area
∼73%
required
healing
time
∼45%,
thus
effectively
addressing
general
problem
faced
devices.
