Advanced Science,
Journal Year:
2024,
Volume and Issue:
11(30)
Published: June 13, 2024
Volatile
Organic
Compounds
(VOC)
are
a
major
class
of
environmental
pollutants
hazardous
to
human
health,
but
also
highly
relevant
in
other
fields
including
early
disease
diagnostics
and
organoleptic
perception
aliments.
Therefore,
accurate
analysis
VOC
is
essential,
need
for
new
analytical
methods
witnessed
rapid
on-site
detection
without
complex
sample
preparation.
Surface-Enhanced
Raman
Spectroscopy
(SERS)
offers
rapidly
developing
versatile
platform
the
portable
chemical
species.
Nonetheless,
efficient
docking
target
analytes
at
metallic
surface
significantly
narrows
applicability
SERS.
This
limitation
can
be
circumvented
by
interfacing
sensor
with
Metal-Organic
Frameworks
(MOF).
These
materials
featuring
structural
versatility
efficiently
pre-concentrate
low
molecular
weight
species
such
as
through
their
ordered
porous
structure.
review
presents
recent
trends
development
MOF-based
SERS
substrates
focus
on
elucidating
respective
design
rules
maximizing
performance.
An
overview
status
harmful
discussed
context
industrial
monitoring.
In
addition,
survey
biomarkers
medical
diagnosis
emerging
applications
aroma
flavor
profiling
included.
Small Science,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 15, 2025
Volatile
organic
compounds
(VOCs)
are
a
class
of
with
high
vapor
pressure
and
low
boiling
points,
widely
present
in
both
natural
environments
human
activities.
VOCs
released
from
various
sources
not
only
contribute
to
environmental
pollution
but
also
pose
threats
ecosystems
health.
Moreover,
some
considered
biomarkers
exhaled
breath
can
be
utilized
identify
diseases.
Therefore,
monitoring
controlling
VOC
emissions
concentrations
crucial
for
safeguarding
the
environment
In
recent
years,
significant
advancements
have
been
achieved
micro‐electromechanical
system
(MEMS)‐based
sensing
optical
technologies,
offering
new
avenues
detection.
This
article
provides
comprehensive
overview
research
progress
MEMS
sensors,
focusing
on
their
mechanisms
classifications.
It
then
discusses
role
artificial
intelligence
enhancing
identification
quantification,
as
well
trends
toward
sensor
miniaturization
intelligence.
Furthermore,
highlights
diverse
applications
sensors
medical
diagnostics,
agricultural
food
testing,
Internet
Things.
Finally,
it
emphasizes
opportunities
challenges
associated
providing
valuable
insights
practical
applications.
Small,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 8, 2024
Abstract
With
the
continuous
acceleration
of
industrialization,
gas
sensors
are
evolving
to
become
portable,
wearable
and
environmentally
friendly.
However,
traditional
rely
on
external
power
supply,
which
severely
limits
their
applications
in
various
industries.
As
an
innovative
adaptable
generation
technology,
triboelectric
nanogenerators
(TENGs)
can
be
integrated
with
leverage
benefits
both
technologies
for
efficient
friendly
self‐powered
sensing.
This
paper
delves
into
basic
principles
current
research
frontiers
TENG‐based
sensor,
focusing
particularly
environmental
safety
monitoring,
healthcare,
as
well
emerging
fields
such
food
assurance
smart
agriculture.
It
emphasizes
significant
advantages
sensor
systems
promoting
sustainability,
achieving
sensing
at
room
temperature,
driving
technological
innovations
devices.
also
objectively
analyzes
technical
challenges,
including
issues
related
performance
enhancement,
theoretical
refinement,
application
expansion,
provides
targeted
strategies
future
directions
aimed
paving
way
progress
widespread
field
sensors.
ACS Sensors,
Journal Year:
2024,
Volume and Issue:
9(2), P. 674 - 688
Published: Jan. 23, 2024
Aiming
at
the
bottleneck
problem
of
insufficient
selectivity
metal
oxide
gas
sensors,
a
reliable
scheme
to
improve
is
proposed,
that
is,
laminated
sensor
structure
gas-sensitive
membrane
plus
catalytic
combined
with
temperature
modulation
technology.
It
presented
as
highly
selective
ethanol
an
example
for
verification.
The
made
Sr@SnO2
gas-sensing
and
ZSM-5
by
microelectro
mechanical
system.
results
indicate
in
mode,
Sr@SnO2/ZSM-5-laminated
has
good
resistance
response
most
different
types
gases
but
only
shows
characteristic
peak
on
time-resistance
temperature-resistance
curves
response.
By
defining
calculating
this
peak,
signal
improved.
Sr@SnO2/ZSM-5
also
exhibits
high
sensitivity
parts
per
billion
level,
fast
response/recovery
time
seconds,
excellent
anti-interference,
stability,
indicating
reliability
practicality
scheme.
This
great
significance
study
promotes
its
wide
application.
Chemical Reviews,
Journal Year:
2024,
Volume and Issue:
124(6), P. 3608 - 3643
Published: March 18, 2024
The
rapid
advancement
of
intelligent
manufacturing
technology
has
enabled
electronic
equipment
to
achieve
synergistic
design
and
programmable
optimization
through
computer-aided
engineering.
Three-dimensional
(3D)
printing,
with
the
unique
characteristics
near-net-shape
forming
mold-free
fabrication,
serves
as
an
effective
medium
for
materialization
digital
designs
into
usable
devices.
This
methodology
is
particularly
applicable
gas
sensors,
where
performance
can
be
collaboratively
optimized
by
tailored
each
internal
module
including
composition,
microstructure,
architecture.
Meanwhile,
diverse
3D
printing
technologies
realize
modularized
fabrication
according
application
requirements.
integration
artificial
intelligence
software
systems
further
facilitates
output
precise
dependable
signals.
Simultaneously,
self-learning
capabilities
system
also
promote
hardware,
fostering
continuous
improvement
sensors
dynamic
environments.
review
investigates
latest
studies
on
3D-printed
sensor
devices
relevant
components,
elucidating
technical
features
advantages
different
processes.
A
general
testing
framework
evaluation
customized
proposed.
Additionally,
it
highlights
superiority
challenges
providing
a
comprehensive
reference
material
adjustments,
structure
design,
process
modifications
advanced
Advanced Sensor Research,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 12, 2025
Abstract
Thermal
runaway
is
a
critical
safety
concern
in
lithium‐ion
battery
energy
storage
systems.
This
review
comprehensively
analyzes
state‐of‐the‐art
sensing
technologies
and
strategies
for
early
detection
warning
of
thermal
events.
The
primary
inducing
factors,
evolution
mechanism,
characteristic
reactions
at
various
stages
are
discussed.
Detectable
signals
during
runaway,
including
temperature,
gas
emissions,
pressure,
strain,
acoustic
signals,
examined,
along
with
advancements
corresponding
technologies.
importance
sensor
implantation,
collaboration,
communication
within
cells
highlighted,
as
well
the
development
intelligent
algorithms
models.
Miniaturized,
integrated,
arrayed
sensors
identified
an
inevitable
trend
advancing
monitoring
Intrinsically
safe
design
future
systems,
considering
distinct
characteristics
emerging
technologies,
crucial
enhancing
reliability.
Future
research
shall
focus
on
developing
advanced
real‐time,
situ
monitoring,
establishing
new
paradigm
diagnosis
using
algorithms,
integrating
models
these
accurate
state
estimation
warnings.
provides
insights
to
guide
strategies,
facilitating
widespread
adoption
renewable
