Surfaces and Interfaces,
Год журнала:
2023,
Номер
42, С. 103458 - 103458
Опубликована: Сен. 26, 2023
The
colloidal
stability
of
uranium(IV)
nanoparticles
(U(IV)-NPs),
which
influences
the
subsurface
U
migration
from
contaminated
sites,
can
be
altered
by
adsorption
natural
organic
matters
possessing
surface-binding
groups,
such
as
catechols.
Therefore,
in
this
study,
effects
catechol
binding
groups
on
and
surface
chemistry
U(IV)-NPs
anoxic
aqueous
solutions
were
probed
using
4-nitrocatechol
(nCA)
over
a
wide
pH
range.
Multiple
complementary
investigations
including
ζ-potential
measurements,
controlled
acid–base
titration,
isotherm
analysis,
complexation
modeling
revealed
that
nCA
significantly
modified
behavior
intact
U(IV)-NPs—which
stable
only
acidic
(pH
∼2)—by
shifting
isoelectric
point
to
lower-pH
region
concentration-dependent
manner
via
strong
complying
Langmuir
model.
Interestingly,
nCA-containing
stabilized
at
high
enabled
U(IV)-NP
redispersion.
This
originated
protonation/deprotonation
capability
UOH
sites
UO2(cr)-like
primary
particles,
evidenced
two
pKa
values
determined
ionization
model
(5.0
±
0.6
7.4
0.7),
well
inner-sphere
mixed
monodentate/bidentate
complex
formation
with
nCA,
signified
observed
surface-enhanced
infrared
absorption
one-
or
two-site
results.
Abstract
On‐chip
nanophotonic
waveguide
sensor
is
a
promising
solution
for
miniaturization
and
label‐free
detection
of
gas
mixtures
utilizing
the
absorption
fingerprints
in
mid‐infrared
(MIR)
region.
However,
quantitative
analysis
organic
still
challenging
less
reported
due
to
overlapping
spectrum.
Here,an
Artificial‐Intelligence
(AI)
assisted
“Photonic
nose”
presented
as
an
augmented
sensing
platform
mixture
MIR.
With
subwavelength
grating
cladding
supported
design
help
machine
learning
algorithms,
MIR
spectrum
binary
distinguished
from
arbitrary
mixing
ratio
decomposed
single‐component
spectra
concentration
prediction.
As
result,
classification
93.57%
19
ratios
realized.
In
addition,
decomposition
prediction
show
average
root‐mean‐square
error
2.44
vol%.
The
work
proves
potential
broader
analytical
capabilities
multiple
components
toward
on‐chip
spectroscopy.
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.
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.
Nano-Micro Letters,
Год журнала:
2024,
Номер
17(1)
Опубликована: Сен. 26, 2024
Abstract
Plasmonic
nanoantennas
provide
unique
opportunities
for
precise
control
of
light–matter
coupling
in
surface-enhanced
infrared
absorption
(SEIRA)
spectroscopy,
but
most
the
resonant
systems
realized
so
far
suffer
from
obstacles
low
sensitivity,
narrow
bandwidth,
and
asymmetric
Fano
resonance
perturbations.
Here,
we
demonstrated
an
overcoupled
resonator
with
a
high
plasmon-molecule
coefficient
(μ)
(OC-Hμ
resonator)
by
precisely
controlling
radiation
loss
channel,
resonator-oscillator
frequency
detuning
channel.
We
observed
strong
dependence
sensing
performance
on
state,
that
OC-Hμ
has
excellent
properties
ultra-sensitive
(7.25%
nm
−1
),
ultra-broadband
(3–10
μm),
immune
lineshapes.
These
characteristics
represent
breakthrough
SEIRA
technology
lay
foundation
specific
recognition
biomolecules,
trace
detection,
protein
secondary
structure
analysis
using
single
array
(array
size
is
100
×
µm
2
).
In
addition,
assistance
machine
learning,
mixture
classification,
concentration
prediction
spectral
reconstruction
were
achieved
highest
accuracy
100%.
Finally,
potential
SARS-CoV-2
detection.
findings
will
promote
wider
application
technology,
while
providing
new
ideas
other
enhanced
spectroscopy
technologies,
quantum
photonics
studying
interactions.
Advanced Science,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 28, 2024
Abstract
Photonic
integrated
circuits
offer
miniaturized
solutions
for
multimodal
spectroscopic
sensory
systems
by
leveraging
the
simultaneous
interaction
of
light
with
temperature,
chemicals,
and
biomolecules,
among
others.
The
data
is
complex
has
huge
volume
high
redundancy,
thus
requiring
communication
bandwidth
associated
power
consumption
to
transfer
data.
To
circumvent
this
cost,
photonic
sensor
processor
are
brought
into
intimacy
propose
a
in‐sensor
computing
system
using
an
silicon
convolutional
processor.
A
microring
resonator
crossbar
array
used
as
implement
operation
5‐bit
accuracy,
validated
through
image
edge
detection
tasks.
Further
integrating
sensor,
in
situ
processing
demonstrated,
achieving
classification
protein
species
different
types
concentrations
at
various
temperatures.
accuracy
97.58%
across
45
classes
achieved.
demonstrates
feasibility
processors
sensors
enhance
capability
devices
edge.
