Journal of Biophotonics,
Год журнала:
2024,
Номер
17(8)
Опубликована: Июнь 21, 2024
Abstract
Vision
impairment
caused
by
diabetic
retinopathy
(DR)
is
often
irreversible,
making
early‐stage
diagnosis
imperative.
Raman
spectroscopy
emerges
as
a
powerful
tool,
capable
of
providing
molecular
fingerprints
tissues.
This
study
employs
RS
to
detect
ex
vivo
retinal
tissue
from
rats
at
various
stages
the
disease.
Transmission
electron
microscopy
was
utilized
reveal
ultrastructural
changes
in
tissue.
Following
spectral
preprocessing
acquired
data,
random
forest
and
orthogonal
partial
least
squares‐discriminant
analysis
algorithms
were
employed
for
data
analysis.
The
entirety
spectra
all
annotated
bands
accurately
distinctly
differentiate
animal
groups,
can
identify
significant
molecules
data.
Bands
524,
1335,
543,
435
cm
−1
found
be
associated
with
preproliferative
phase
DR.
1045
1335
early
Chemical Reviews,
Год журнала:
2023,
Номер
123(13), С. 8297 - 8346
Опубликована: Июнь 15, 2023
Omics
technologies
have
rapidly
evolved
with
the
unprecedented
potential
to
shape
precision
medicine.
Novel
omics
approaches
are
imperative
toallow
rapid
and
accurate
data
collection
integration
clinical
information
enable
a
new
era
of
healthcare.
In
this
comprehensive
review,
we
highlight
utility
Raman
spectroscopy
(RS)
as
an
emerging
technology
for
clinically
relevant
applications
using
significant
samples
models.
We
discuss
use
RS
both
label-free
approach
probing
intrinsic
metabolites
biological
materials,
labeled
where
signal
from
reporters
conjugated
nanoparticles
(NPs)
serve
indirect
measure
tracking
protein
biomarkers
Translational Neurodegeneration,
Год журнала:
2023,
Номер
12(1)
Опубликована: Июль 12, 2023
Abstract
Background
The
current
diagnosis
of
Alzheimer’s
disease
(AD)
is
based
on
a
series
analyses
which
involve
clinical,
instrumental
and
laboratory
findings.
However,
signs,
symptoms
biomarker
alterations
observed
in
AD
might
overlap
with
other
dementias,
resulting
misdiagnosis.
Methods
Here
we
describe
new
diagnostic
approach
for
takes
advantage
the
boosted
sensitivity
biomolecular
detection,
as
allowed
by
seed
amplification
assay
(SAA),
combined
unique
specificity
recognition,
provided
surface-enhanced
Raman
spectroscopy
(SERS).
Results
SAA-SERS
supported
machine
learning
data
analysis
efficient
identification
pathological
Aβ
oligomers
cerebrospinal
fluid
patients
clinical
or
mild
cognitive
impairment
due
to
AD.
Conclusions
Such
analytical
can
be
used
recognize
features,
thus
allowing
early
stratification
selection
patients,
fundamental
treatments
pharmacological
trials.
International Journal of Molecular Sciences,
Год журнала:
2023,
Номер
24(3), С. 2384 - 2384
Опубликована: Янв. 25, 2023
The
Raman
phenomenon
is
based
on
the
spontaneous
inelastic
scattering
of
light,
which
depends
molecular
characteristics
dispersant.
Therefore,
spectroscopy
and
imaging
allow
us
to
obtain
direct
information,
in
a
label-free
manner,
from
chemical
composition
sample.
Since
it
well
established
that
development
many
brain
diseases
associated
with
biochemical
alterations
affected
tissue,
have
emerged
as
promising
tools
for
diagnosis
ailments.
A
combination
and/or
tagged
molecules
could
also
help
drug
delivery
tracing
treatment
diseases.
In
this
review,
we
first
describe
basics
spectroscopy.
Then,
delve
into
modes
Raman-compatible
tags.
Finally,
center
application
study,
diagnosis,
diseases,
by
focusing
traumatic
injury
ischemia,
neurodegenerative
disorders,
cancer.
Biosensors,
Год журнала:
2023,
Номер
13(5), С. 499 - 499
Опубликована: Апрель 25, 2023
Surface-enhanced
Raman
spectroscopy
(SERS)
applications
in
clinical
diagnosis
and
spectral
pathology
are
increasing
due
to
the
potential
of
technique
bio-barcode
incipient
differential
diseases
via
real-time
monitoring
biomarkers
fluids
biomolecular
fingerprinting.
Additionally,
rapid
advancements
micro/nanotechnology
have
a
visible
influence
all
aspects
science
life.
The
miniaturization
enhanced
properties
materials
at
micro/nanoscale
transcended
confines
laboratory
revolutionizing
domains
such
as
electronics,
optics,
medicine,
environmental
science.
societal
technological
impact
SERS
biosensing
by
using
semiconductor-based
nanostructured
smart
substrates
will
be
huge
once
minor
technical
pitfalls
solved.
Herein,
challenges
routine
testing
addressed
order
understand
context
how
can
perform
real,
vivo
sampling
bioassays
for
early
neurodegenerative
disease
(ND)
diagnosis.
main
interest
translating
into
practice
is
reinforced
practical
advantages:
portability
designed
setups,
versatility
nanomaterials
various
matter
costs,
readiness,
reliability.
As
we
present
this
review,
frame
technology
readiness
levels
(TRL),
current
maturity
reached
biosensors,
particular
that
zinc
oxide
(ZnO)-based
hybrid
substrates,
situated
development
level
TRL
6
(out
9
levels).
Three-dimensional,
multilayered
provide
additional
plasmonic
hot
spots
z-axis
key
importance
designing
highly
performant
biosensors
detection
ND
biomarkers.
ACS Chemical Neuroscience,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 13, 2024
Accurate
and
early
disease
detection
is
crucial
for
improving
patient
care,
but
traditional
diagnostic
methods
often
fail
to
identify
diseases
in
their
stages,
leading
delayed
treatment
outcomes.
Early
diagnosis
using
blood
derivatives
as
a
source
biomarkers
particularly
important
managing
Alzheimer's
(AD).
This
study
introduces
novel
approach
the
precise
ultrasensitive
of
multiple
core
AD
(Aβ
Journal of the European Optical Society Rapid Publications,
Год журнала:
2024,
Номер
20(1), С. 10 - 10
Опубликована: Янв. 1, 2024
A
wearable
sweat
sensor
chip
based
on
surface-enhanced
Raman
spectroscopy
(SERS)
is
here
presented.
The
plasmonic
core
of
the
chip,
obtained
by
deposition
silver
nanowires
a
polytetrafluoroethylene
(PTFE)
porous
membrane,
permits
direct
and
label-free
detection
urea
lactate
at
physiologic
concentrations
in
combination
with
pH
measurement
range
between
5
9.
Once
integrated
commercial
biocompatible
adhesive
tape
layers,
as
produced
SERS-active
provides
low-cost,
flexible
sensing
device
for
rapid
reliable
human
analysis.
was
finally
tested
real
samples
to
estimate
during
medium-intense
exertions.
Nanoscale,
Год журнала:
2024,
Номер
16(25), С. 11879 - 11913
Опубликована: Янв. 1, 2024
Brain
disorders,
including
neurodegenerative
diseases
(NDs)
and
traumatic
brain
injury
(TBI),
present
significant
challenges
in
early
diagnosis
intervention.
Conventional
imaging
modalities,
while
valuable,
lack
the
molecular
specificity
necessary
for
precise
disease
characterization.
Compared
to
study
of
conventional
tissues,
liquid
biopsy,
which
focuses
on
blood,
tear,
saliva,
cerebrospinal
fluid
(CSF),
also
unveils
a
myriad
underlying
processes,
providing
abundant
predictive
clinical
information.
In
addition,
biopsy
is
minimally-
non-invasive,
highly
repeatable,
offering
potential
continuous
monitoring.
Raman
spectroscopy
(RS),
with
its
ability
provide
rich
information
cost-effectiveness,
holds
great
transformative
advancements
detection
understanding
biochemical
changes
associated
NDs
TBI.
Recent
developments
enhancement
technologies
advanced
data
analysis
methods
have
enhanced
applicability
RS
probing
intricate
signatures
within
biological
fluids,
new
insights
into
pathology.
This
review
explores
growing
role
as
promising
emerging
tool
particularly
through
biopsy.
It
discusses
current
landscape
future
prospects
highlighting
non-invasive
molecularly
specific
diagnostic
tool.
Journal of Raman Spectroscopy,
Год журнала:
2024,
Номер
55(9), С. 967 - 974
Опубликована: Май 28, 2024
Abstract
Echinococcosis
chiefly
includes
cystic
and
alveolar
echinococcosis,
which
is
a
parasitic
disease.
It
very
important
to
find
quick
non‐staining
method
determine
whether
tissue
sample
has
echinococcosis
lesions;
it
not
only
conducive
the
diagnosis
of
but
also
judgment
after
surgery.
In
study,
surface‐enhanced
Raman
spectroscopy
(SERS)
in
combination
with
deep
learning
was
used
classify
healthy
controls.
Silver
nanoparticles
served
as
SERS‐enhanced
substrates,
large
amount
SERS
spectra
collected.
There
were
24
cases
tissue,
14
21
control
tissues,
numbers
collected
594,
410,
990,
respectively,
for
total
1994
spectra.
The
convolutional
neural
network
(CNN)
categorize
into
three
types.
Four
other
common
machine
classification
algorithms
compared
CNN
model
highlight
effect
model.
results
show
that
best
model,
whose
accuracy
reaches
95%.
Therefore,
combined
great
potential
distinguishing
tissues
echinococcosis.
Frontiers in Molecular Biosciences,
Год журнала:
2024,
Номер
11
Опубликована: Июнь 14, 2024
Introduction:
Alzheimer’s
disease
(AD)
is
a
progressive
debilitating
neurological
disorder
representing
the
most
common
neurodegenerative
worldwide.
Although
exact
pathogenic
mechanisms
of
AD
remain
unresolved,
presence
extracellular
amyloid-β
peptide
1-42
(Aβ
)
plaques
in
parenchymal
and
cortical
brain
considered
one
hallmarks
disease.
Methods:
In
this
work,
we
investigated
Aβ
fibrillogenesis
timeline
up
to
48
h
incubation,
providing
morphological
chemo-structural
characterization
main
assemblies
formed
during
aggregation
process
,
by
atomic
force
microscopy
(AFM)
surface
enhanced
Raman
spectroscopy
(SERS),
respectively.
Results:
AFM
topography
evidenced
characteristic
protofibrils
at
early-stages
aggregation,
which
form
peculiar
macromolecular
networks
over
time.
SERS
allowed
track
variation
secondary
structure
species
involved
determine
when
β-sheet
starts
prevail
random
coil
conformation
process.
Discussion:
Our
research
highlights
significance
investigating
early
phases
better
understand
molecular
pathophysiology
identify
potential
therapeutic
targets
that
may
prevent
or
slow
down
