Surface-enhanced spectroscopy technology based on metamaterials
Microsystems & Nanoengineering,
Год журнала:
2025,
Номер
11(1)
Опубликована: Апрель 3, 2025
Abstract
Surface-enhanced
spectroscopy
technology
based
on
metamaterials
has
flourished
in
recent
years,
and
the
use
of
artificially
designed
subwavelength
structures
can
effectively
regulate
light
waves
electromagnetic
fields,
making
it
a
valuable
platform
for
sensing
applications.
With
continuous
improvement
theory,
several
effective
universal
modes
have
gradually
formed,
including
localized
surface
plasmon
resonance
(LSPR),
Mie
resonance,
bound
states
continuum
(BIC),
Fano
resonance.
This
review
begins
by
summarizing
these
core
mechanisms,
followed
comprehensive
overview
six
main
surface-enhanced
techniques
across
spectrum:
fluorescence
(SEF),
Raman
scattering
(SERS),
infrared
absorption
(SEIRA),
terahertz
(THz)
sensing,
refractive
index
(RI)
chiral
sensing.
These
cover
wide
spectral
range
address
various
optical
characteristics,
enabling
detection
molecular
fingerprints,
structural
chirality,
changes.
Additionally,
this
summarized
combined
different
enhanced
spectra,
integration
with
other
advanced
technologies,
status
miniaturized
metamaterial
systems.
Finally,
we
assess
current
challenges
future
directions.
Looking
to
future,
anticipate
that
metamaterial-based
will
play
transformative
role
real-time,
on-site
scientific,
environmental,
biomedical
fields.
Язык: Английский
A Comparative Analysis of Air Quality and Respiratory Health in Under-Five Children from Crude Oil-Impacted Communities
J — Multidisciplinary Scientific Journal,
Год журнала:
2025,
Номер
8(2), С. 16 - 16
Опубликована: Май 6, 2025
Crude
oil
spills
create
environmental
hazards,
leading
to
air
pollution
and
respiratory
health
risks
in
under-five
children
due
their
developing
organs.
This
study
compares
ambient
quality
(AAQ)
the
(RH)
of
crude
oil-impacted
less-impacted
communities.
The
involved
450
(mean
age:
3
years)
from
three
Niger
Delta
communities:
Bodo,
K-Dere,
Beeri.
AAQ
was
measured
using
sensors,
RH
assessed
through
interviewer-administered
questionnaires
between
July
October
2022.
Mean
concentrations
pollutants,
including
PM2.5,
PM10,
TVOCs,
HCHO,
were
consistently
higher
Bodo
K-Dere
(oil-impacted
communities)
compared
Beeri
(less-impacted
community),
with
levels
frequently
exceeding
both
WHO
national
standards.
These
highest
near
spill
sites
during
evening
periods,
highlighting
localized
temporal
factors
influencing
pollution.
Respiratory
symptoms
such
as
cough,
difficulty
breathing,
persistent
nasal
congestion
significantly
more
prevalent
among
Logistic
regression
analysis
indicated
a
likelihood
issues
these
communities,
odds
ratios
ranging
2.53
14.18
for
various
symptoms.
Elevated
correlates
prevalence
conditions
impacted
underscoring
need
public
interventions
areas.
Язык: Английский
Near-Sensor Edge Computing System Enabled by a CMOS Compatible Photonic Integrated Circuit Platform Using Bilayer AlN/Si Waveguides
Nano-Micro Letters,
Год журнала:
2025,
Номер
17(1)
Опубликована: Май 19, 2025
Abstract
The
rise
of
large-scale
artificial
intelligence
(AI)
models,
such
as
ChatGPT,
DeepSeek,
and
autonomous
vehicle
systems,
has
significantly
advanced
the
boundaries
AI,
enabling
highly
complex
tasks
in
natural
language
processing,
image
recognition,
real-time
decision-making.
However,
these
models
demand
immense
computational
power
are
often
centralized,
relying
on
cloud-based
architectures
with
inherent
limitations
latency,
privacy,
energy
efficiency.
To
address
challenges
bring
AI
closer
to
real-world
applications,
wearable
health
monitoring,
robotics,
immersive
virtual
environments,
innovative
hardware
solutions
urgently
needed.
This
work
introduces
a
near-sensor
edge
computing
(NSEC)
system,
built
bilayer
AlN/Si
waveguide
platform,
provide
real-time,
energy-efficient
capabilities
at
edge.
Leveraging
electro-optic
properties
AlN
microring
resonators
for
photonic
feature
extraction,
coupled
Si-based
thermo-optic
Mach–Zehnder
interferometers
neural
network
computations,
system
represents
transformative
approach
design.
Demonstrated
through
multimodal
gesture
gait
analysis,
NSEC
achieves
high
classification
accuracies
96.77%
gestures
98.31%
gaits,
ultra-low
latency
(<
10
ns),
minimal
consumption
0.34
pJ).
groundbreaking
bridges
gap
between
efficient,
privacy-preserving
healthcare,
next-generation
human–machine
interfaces,
marking
pivotal
advancement
deployment.
Язык: Английский