Frontiers in Plant Science,
Journal Year:
2025,
Volume and Issue:
15
Published: Jan. 7, 2025
As
the
source
of
data
acquisition,
sensors
provide
basic
support
for
crop
planting
decision
management
and
play
a
foundational
role
in
developing
smart
planting.
Accurate,
stable,
deployable
on-site
make
intelligent
monitoring
various
scenarios
possible.
Recent
breakthroughs
plant
advanced
rapid
development
manufacturing
artificial
intelligence
(AI)
have
driven
towards
miniaturization,
intelligence,
multi-modality.
This
review
outlines
key
technologies
new
sensors,
such
as
micro-nano
technology,
flexible
electronics
micro-electromechanical
system
technology.
The
latest
technological
frontiers
trends
sensor
principles,
fabrication
processes,
performance
parameters
soil
different
segmented
are
systematically
expounded.
Finally,
future
opportunities,
challenges,
prospects
discussed.
We
anticipate
that
introducing
like
nanotechnology
AI
will
rapidly
radically
revolutionize
accuracy
agricultural
leading
to
levels
innovation.
Advanced Science,
Journal Year:
2023,
Volume and Issue:
10(32)
Published: Sept. 22, 2023
Abstract
Skin‐like
flexible
sensors
play
vital
roles
in
healthcare
and
human–machine
interactions.
However,
general
goals
focus
on
pursuing
intrinsic
static
dynamic
performance
of
skin‐like
themselves
accompanied
with
diverse
trial‐and‐error
attempts.
Such
a
forward
strategy
almost
isolates
the
design
from
resulting
applications.
Here,
machine
learning
(ML)‐guided
tactile
sensor
system
is
reported,
enabling
high
classification
accuracy
(≈99.58%)
perception
six
touch
modalities.
Different
intuition‐driven
design,
such
ML‐guided
optimization
realized
by
introducing
support
vector
machine‐based
ML
algorithm
along
specific
statistical
criteria
for
fabrication
parameters
selection
to
excavate
features
deeply
concealed
raw
sensing
data.
This
inverse
merges
into
phase
hardware,
bridging
gap
between
device
structures
algorithms.
Using
optimized
sensor,
high‐quality
recognizable
signals
handwriting
applications
are
obtained.
Besides,
additional
data
processing,
robot
hand
assembled
able
complete
real‐time
touch‐decoding
an
11‐digit
braille
phone
number
accuracy.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
36(26)
Published: March 29, 2024
Direct
Laser
Writing
(DLW)
has
been
increasingly
selected
as
a
microfabrication
route
for
efficient,
cost-effective,
high-resolution
material
synthesis
and
conversion.
Concurrently,
lasers
participate
in
the
patterning
assembly
of
functional
geometries
several
fields
application,
which
electronics
stand
out.
In
this
review,
recent
advances
strategies
based
on
DLW
are
surveyed
outlined,
laser
growth
strategies.
First,
main
parameters
influencing
transformation
mechanisms
summarized,
aimed
at
selective,
tailored
writing
conductive
semiconducting
materials.
Additive
transformative
processing
discussed,
to
open
space
explore
categories
materials
directly
synthesized
or
transformed
microfabrication.
These
include
metallic
conductors,
metal
oxides,
transition
chalcogenides
carbides,
laser-induced
graphene,
their
mixtures.
By
accessing
wide
range
types,
DLW-based
electronic
applications
explored,
including
components,
energy
harvesting
storage,
sensing,
bioelectronics.
The
expanded
capability
multiple
fabrication
steps
different
implementation
levels,
from
engineering
device
processing,
indicates
future
applicability
next-generation
electronics,
where
more
accessible,
green
approaches
integrate
comprehensive
tools.
Soft Science,
Journal Year:
2023,
Volume and Issue:
3(1), P. 4 - 4
Published: Jan. 1, 2023
The
past
decade
has
witnessed
an
emerging
and
fast-growing
field
on
mechanically
soft
systems,
ranging
from
materials
(e.g.
hydrogels)
to
devices
flexible
electronics),
functional
systems
robotics).
It
is
envisioned
that
will
continue
thrive
in
the
coming
decades
academia
industrial
communities.
launch
of
Soft
Science
provide
first
dedicated
platform
for
publishing
research
findings
share
knowledge
among
InfoMat,
Journal Year:
2024,
Volume and Issue:
6(6)
Published: April 10, 2024
Abstract
The
fast
booming
of
wearable
electronics
provides
great
opportunities
for
intelligent
gas
detection
with
improved
healthcare
mining
workers,
and
a
variety
sensors
have
been
simultaneously
developed.
However,
these
sensing
systems
are
always
limited
to
single
highly
susceptible
the
inference
ubiquitous
moisture,
resulting
in
less
accuracy
analysis
compositions
real
conditions.
To
address
challenges,
we
propose
synergistic
strategy
based
on
sensor
integration
machine
learning
algorithms
realize
precise
NH
3
NO
2
detections
under
A
array
graphene
polyaniline
composite
is
developed
largely
enhance
sensitivity
selectivity
mixed
Further
introduction
backpropagation
neural
network
(BP‐NN)
partial
least
squares
(PLS)
could
improve
identification
concentration
prediction
settle
realizing
over
99%
theoretical
level
concentrations
within
wide
relative
humidity
range,
showing
promise
detection.
As
proof
concept,
wireless
bracelet,
integrated
arrays
machine‐learning
algorithms,
real‐time
warning
hazardous
gases
mines
different
image
Small Methods,
Journal Year:
2024,
Volume and Issue:
8(11)
Published: April 10, 2024
Abstract
The
rising
global
population
and
improved
living
standards
have
led
to
an
alarming
increase
in
non‐communicable
diseases,
notably
cardiovascular
chronic
respiratory
posing
a
severe
threat
human
health.
Wearable
sensing
devices,
utilizing
micro‐sensing
technology
for
real‐time
monitoring,
emerged
as
promising
tools
disease
prevention.
Among
various
platforms,
graphene‐based
sensors
shown
exceptional
performance
the
field
of
micro‐sensing.
Laser‐induced
graphene
(LIG)
technology,
cost‐effective
facile
method
preparation,
has
gained
particular
attention.
By
converting
polymer
films
directly
into
patterned
materials
at
ambient
temperature
pressure,
LIG
offers
convenient
environmentally
friendly
alternative
traditional
methods,
opening
up
innovative
possibilities
electronic
device
fabrication.
Integrating
LIG‐based
health
monitoring
systems
holds
potential
revolutionize
management.
To
commemorate
tenth
anniversary
discovery
LIG,
this
work
provides
comprehensive
overview
LIG's
evolution
progress
sensors.
Delving
diverse
mechanisms
sensors,
recent
research
advances
domain
are
explored.
Furthermore,
opportunities
challenges
associated
with
briefly
discussed.
ACS Sensors,
Journal Year:
2024,
Volume and Issue:
9(3), P. 1391 - 1400
Published: Feb. 16, 2024
Achieving
reliable
detection
of
trace
levels
NO2
gas
is
essential
for
environmental
monitoring
and
protection
human
health
protection.
Herein,
a
thin-film
sensor
based
on
branched
WO3/W18O49
heterostructures
was
fabricated.
The
optimized
exhibited
outstanding
sensing
properties
with
an
ultrahigh
response
value
(1038)
low
limit
(10
ppb)
at
50
°C.
Such
excellent
performance
could
be
ascribed
to
the
synergistic
effect
accelerated
charge
transfer
increased
active
sites,
which
confirmed
by
electrochemical
impedance
spectroscopy
temperature-programmed
desorption
characterization.
ability
under
different
air
quality
conditions.
This
work
provides
effective
strategy
constructing
developing
sensors
performance.
ACS Nano,
Journal Year:
2024,
Volume and Issue:
18(39), P. 26435 - 26476
Published: Sept. 17, 2024
The
burgeoning
demands
for
health
care
and
human-machine
interfaces
call
the
next
generation
of
multifunctional
integrated
sensor
systems
with
facile
fabrication
processes
reliable
performances.
Laser-induced
graphene
(LIG)
highly
tunable
physical
chemical
characteristics
plays
vital
roles
in
developing
versatile
skin-like
flexible
or
stretchable
systems.
This
Progress
Report
presents
an
in-depth
overview
latest
advances
LIG-based
techniques
applications
sensors.
First,
merits
LIG
technique
are
highlighted
especially
as
building
blocks
sensors,
followed
by
description
various
methods
its
variants.
Then,
focus
is
moved
to
diverse
including
electrophysiological
Mechanisms
advantages
these
scenarios
described
detail.
Furthermore,
representative
paradigms
presented
show
capabilities
multipurpose
applications.
signal
cross-talk
issues
discussed
possible
strategies.
technology
functionalities
coupled
other
strategies
will
enable
high-performance
next-generation
skin
electronics.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
36(35)
Published: April 2, 2024
Skin-interfaced
high-sensitive
biosensing
systems
to
detect
electrophysiological
and
biochemical
signals
have
shown
great
potential
in
personal
health
monitoring
disease
management.
However,
the
integration
of
3D
porous
nanostructures
for
improved
sensitivity
various
functional
composites
signal
transduction/processing/transmission
often
relies
on
different
materials
complex
fabrication
processes,
leading
weak
interfaces
prone
failure
upon
fatigue
or
mechanical
deformations.
The
integrated
system
also
needs
additional
adhesive
strongly
conform
human
skin,
which
can
cause
irritation,
alignment
issues,
motion
artifacts.
This
work
introduces
a
skin-attachable,
reprogrammable,
multifunctional,
device
patch
fabricated
by
simple
low-cost
laser
scribing
an
composite
with
polyimide
powders
amine-based
ethoxylated
polyethylenimine
dispersed
silicone
elastomer.
obtained
laser-induced
graphene
be
further
selectively
functionalized
conductive
nanomaterials
enzymes
enhanced
electrical
conductivity
selective
sensing
sweat
biomarkers.
possible
combination
sensors
real-time
biofluid
analysis
RF
energy
harvesting
communication
promises
standalone
stretchable
platform
based
same
material
process.
Nature Communications,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Jan. 17, 2025
Despite
rapid
developments
of
wearable
self-powered
sensors,
it
is
still
elusive
to
decouple
the
simultaneously
applied
multiple
input
signals.
Herein,
we
report
design
and
demonstration
stretchable
thermoelectric
porous
graphene
foam-based
materials
via
facile
laser
scribing
for
decoupled
strain
temperature
sensing.
The
resulting
sensor
can
accurately
detect
with
a
resolution
0.5°C
gauge
factor
1401.5.
nanocomposites
also
explores
synergistic
effect
between
components
greatly
enhance
Seebeck
coefficient
by
almost
four
times
(from
9.703
37.33
μV/°C).
Combined
stretchability
45%,
platform
allows
early
fire
detection
in
remote
settings
accurate
monitoring
during
wound
healing
process
situ.
concepts
from
this
study
could
be
leveraged
prepare
multimodal
sensors
sensing
capability
multi-parameter
towards
health
monitoring.