Wearable MOF Biosensors: A New Frontier in Real-Time Health Monitoring
TrAC Trends in Analytical Chemistry,
Journal Year:
2025,
Volume and Issue:
unknown, P. 118156 - 118156
Published: Jan. 1, 2025
Language: Английский
Biomimetic NIR-II Aggregation-Induced Emission Nanoparticles for Targeted Photothermal Therapy of Ovarian Cancer
Journal of Materials Chemistry B,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
Photothermal
therapy
(PTT)
is
a
cutting-edge
technique
that
harnesses
light
energy
and
converts
it
into
heat
for
precise
tumor
ablation.
By
employing
photothermal
agents
to
selectively
generate
target
cancer
cells,
PTT
has
emerged
as
promising
treatment
strategy.
Notably,
therapies
conducted
in
the
second
near-infrared
(NIR-II)
window
exhibit
superior
therapeutic
outcomes,
owing
deeper
tissue
penetration
reduced
scattering.
In
this
study,
we
developed
biomimetic
NIR-II
aggregation-induced
emission
(AIE)
nanoparticles
(2TB-NPs@TM)
high-efficiency
imaging
targeted
phototherapy
of
ovarian
cancer.
The
core
nanoparticle
aggregates
(2TB-NPs)
display
strong
fluorescence
high
conversion
efficiency,
while
outer
cell
membrane
coating
facilitates
active
targeting
recognition
tissues.
This
design
imparts
excellent
biocompatibility
enhances
drug
delivery
leading
potent
synergistic
effects.
Our
findings
open
new
avenues
advancing
targeted,
high-performance
diagnostics
treatment.
Language: Английский
Bio-Inspired Ionic Sensors: Transforming Natural Mechanisms into Sensory Technologies
Kyongtae Choi,
No information about this author
Gibeom Lee,
No information about this author
Min‐Gyu Lee
No information about this author
et al.
Nano-Micro Letters,
Journal Year:
2025,
Volume and Issue:
17(1)
Published: March 12, 2025
Abstract
Many
natural
organisms
have
evolved
unique
sensory
systems
over
millions
of
years
that
allowed
them
to
detect
various
changes
in
their
surrounding
environments.
Sensory
feature
numerous
receptors—such
as
photoreceptors,
mechanoreceptors,
and
chemoreceptors—that
types
external
stimuli,
including
light,
pressure,
vibration,
sound,
chemical
substances.
These
stimuli
are
converted
into
electrochemical
signals,
which
transmitted
the
brain
produce
sensations
sight,
touch,
hearing,
taste,
smell.
Inspired
by
biological
principles
systems,
recent
advancements
electronics
led
a
wide
range
applications
artificial
sensors.
In
current
review,
we
highlight
developments
sensors
inspired
utilizing
soft
ionic
materials.
The
versatile
characteristics
these
materials
introduced
while
focusing
on
mechanical
electrical
properties.
features
working
sensing
investigated
terms
six
categories:
vision,
tactile,
gustatory,
olfactory,
proximity
sensing.
Lastly,
explore
several
challenges
must
be
overcome
outlining
future
research
directions
field
Language: Английский
Integrating Hard Silicon for High-Performance Soft Electronics via Geometry Engineering
Nano-Micro Letters,
Journal Year:
2025,
Volume and Issue:
17(1)
Published: April 14, 2025
Abstract
Soft
electronics,
which
are
designed
to
function
under
mechanical
deformation
(such
as
bending,
stretching,
and
folding),
have
become
essential
in
applications
like
wearable
artificial
skin,
brain-machine
interfaces.
Crystalline
silicon
is
one
of
the
most
mature
reliable
materials
for
high-performance
electronics;
however,
its
intrinsic
brittleness
rigidity
pose
challenges
integrating
it
into
soft
electronics.
Recent
research
has
focused
on
overcoming
these
limitations
by
utilizing
structural
design
techniques
impart
flexibility
stretchability
Si-based
materials,
such
transforming
them
thin
nanomembranes
or
nanowires.
This
review
summarizes
key
strategies
geometry
engineering
crystalline
from
use
hard
islands
creating
out-of-plane
foldable
nanofilms
flexible
substrates,
ultimately
shaping
nanowires
using
vapor–liquid–solid
in-plane
solid–liquid–solid
techniques.
We
explore
latest
developments
electronic
devices,
with
sensors,
nanoprobes,
robotics,
Finally,
paper
discusses
current
field
outlines
future
directions
enable
widespread
adoption
silicon-based
Language: Английский
Piezotronic Sensor for Bimodal Monitoring of Achilles Tendon Behavior
Zihan Wang,
No information about this author
Shenlong Wang,
No information about this author
Boling Lan
No information about this author
et al.
Nano-Micro Letters,
Journal Year:
2025,
Volume and Issue:
17(1)
Published: April 29, 2025
Abstract
Bimodal
pressure
sensors
capable
of
simultaneously
detecting
static
and
dynamic
forces
are
essential
to
medical
detection
bio-robotics.
However,
conventional
typically
integrate
multiple
operating
mechanisms
achieve
bimodal
detection,
leading
complex
device
architectures
challenges
in
signal
decoupling.
In
this
work,
we
address
these
limitations
by
leveraging
the
unique
piezotronic
effect
Y-ion-doped
ZnO
develop
a
sensor
(BPS)
with
simplified
structure
enhanced
sensitivity.
Through
combination
finite
element
simulations
experimental
validation,
demonstrate
that
BPS
can
effectively
monitor
both
forces,
achieving
an
on/off
ratio
1029,
gauge
factor
23,439
force
response
duration
up
600
s,
significantly
outperforming
performance
piezoelectric
sensors.
As
proof-of-concept,
demonstrates
continuous
monitoring
Achilles
tendon
behavior
under
mixed
loading
conditions.
Aided
deep
learning
algorithms,
system
achieves
96%
accuracy
identifying
movement
patterns,
thus
enabling
warnings
for
dangerous
movements.
This
work
provides
viable
strategy
monitoring,
highlighting
its
potential
wearable
electronics.
Language: Английский