The
ability
of
2D
hybrid
structures
formed
by
boron,
nitrogen
and
carbon
atoms
(h-BNCs)
as
potential
substrates
for
surface
enhanced
Raman
spectroscopy
(SERS)
detection
dioxin-like
pollutants
is
theoretically
analyzed.
strong
confinement
high
tunability
the
electromagnetic
response
nanostructures
embedded
within
h-BNC
sheets
point
out
that
these
could
be
promising
applications
in
optical
spectroscopies,
such
SERS.
In
this
work,
two
model
pollutants,
TCDD
TCDF,
a
composed
nanodisk
ninety-six
surrounded
string
borazine
rings,
BNC96,
are
employed
simulation
adsorption
complexes
static
pre-resonance
spectra
adsorbed
molecules.
A
large
affinity
BNC96
reflected
on
interaction
energies
obtained
most
stable
stacking
complexes,
with
dispersion
being
important
contribution
to
their
stability.
vibrational
coupling
some
active
modes
TCDF
and,
specially,
makes
display
‘pure’
chemical
enhancement
one
order
magnitude.
On
other
hand,
due
confined
nanodisk,
factors
108
107,
respectively.
Promisingly,
laser
excitation
wavelengths
frequently
used
SERS
experiments
also
provoke
significant
enhancements,
around
104,
signals.
Both
domains
modulation
resonance
visible
and/or
UV
ranges
h-BNCs
should
lead
higher
sensitivity
than
graphene
white
parent
structures,
solving
main
disadvantages
using
applications.
Biosensors,
Journal Year:
2023,
Volume and Issue:
13(3), P. 328 - 328
Published: Feb. 27, 2023
Surface-enhanced
Raman
spectroscopy/scattering
(SERS)
has
evolved
into
a
popular
tool
for
applications
in
biology
and
medicine
owing
to
its
ease-of-use,
non-destructive,
label-free
approach.
Advances
plasmonics
instrumentation
have
enabled
the
realization
of
SERS’s
full
potential
trace
detection
biomolecules,
disease
diagnostics,
monitoring.
We
provide
brief
review
on
recent
developments
SERS
technique
biosensing
applications,
with
particular
focus
machine
learning
techniques
used
same.
Initially,
article
discusses
need
plasmonic
sensors
advantage
over
existing
techniques.
In
later
sections,
are
organized
as
SERS-based
diagnosis
focusing
cancer
identification
respiratory
diseases,
including
SARS-CoV-2
detection.
then
discuss
progress
sensing
microorganisms,
such
bacteria,
detecting
biohazardous
materials
view
homeland
security.
At
end
article,
we
(a)
identification,
(b)
classification,
(c)
quantification
applications.
The
covers
work
from
2010
onwards,
language
is
simplified
suit
needs
interdisciplinary
audience.
Journal of Materials Chemistry A,
Journal Year:
2024,
Volume and Issue:
12(12), P. 7287 - 7299
Published: Jan. 1, 2024
The
development
of
surface
enhanced
Raman
spectroscopy
(SERS)
substrates
capable
sensing
organic
pollutants
at
low
concentrations
with
high
sensitivity
has
always
been
demanding.
ACS Agricultural Science & Technology,
Journal Year:
2024,
Volume and Issue:
4(4), P. 389 - 404
Published: March 22, 2024
Inappropriate
pesticide
usage
leads
to
unsustainable
agricultural
practices
and
deteriorates
the
quality
of
fruits
vegetables
by
introducing
potentially
hazardous
substances.
Raman
spectroscopy,
specifically
surface-enhanced
spectroscopy
(SERS),
offers
high-sensitivity
in
situ
monitoring
residues.
This
review
emphasizes
importance
advanced
databases
algorithms
interpreting
signals.
Various
statistical
models
are
introduced
for
spectral
analysis,
including
self-modeling
curve
resolution,
multivariate
mixture
analysis.
Additionally,
this
study
provides
comprehensive
information
on
different
SERS
substrates
shows
great
potential
determination
food
However,
a
multicomponent
analysis
is
needed
mixtures.
The
overlapping
bands
needs
be
considered
due
complex
matrices
biological
samples.
Artificial
neural
networks
(ANNs)
applied
as
nonlinear
when
analytes
mixture.
Further
research
establish
standardized
protocols
SERS-based
quantitative
detection,
sample
preparation
data
Biosensors,
Journal Year:
2025,
Volume and Issue:
15(2), P. 115 - 115
Published: Feb. 16, 2025
Surface-enhanced
Raman
spectroscopy
(SERS)
has
emerged
as
a
powerful
noninvasive
analytical
technique
with
widespread
applications
in
biochemical
analysis
and
biomedical
diagnostics.
The
need
for
highly
sensitive,
reproducible,
efficient
detection
of
biomolecules
complex
biological
environments
driven
significant
advancements
SERS-based
biosensing
platforms.
In
this
context,
micro/nanomachines
(MNMs)
have
garnered
attention
versatile
SERS-active
substrates
due
to
their
unique
structural
motional
characteristics
at
the
micro-
nanoscale.
This
review
explores
advantages
integrating
MNMs
SERS
biosensing,
discussing
recent
technological
advances,
various
propulsion
strategies,
potential
range
applications.
