Advances in deep learning-based applications for Raman spectroscopy analysis: A mini-review of the progress and challenges
Microchemical Journal,
Journal Year:
2025,
Volume and Issue:
209, P. 112692 - 112692
Published: Jan. 5, 2025
Language: Английский
Advancing clinical diagnostics: the potential of analytical Raman spectroscopy in oncology, dermatology, and diabetes
Rabia’tul A’dawiah,
No information about this author
Alex Jie Yap,
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Poongkulali Rajarahm
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et al.
Applied Spectroscopy Reviews,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 56
Published: April 4, 2025
Language: Английский
Application of Raman Spectroscopy in Drug Discovery
Advances in chemical and materials engineering book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 221 - 254
Published: Feb. 14, 2025
Raman
spectroscopy,
a
powerful
vibrational
spectroscopy
technique,
has
emerged
as
pivotal
tool
in
drug
discovery
and
development.
Based
on
the
inelastic
scattering
of
monochromatic
light,
this
technique
allows
for
detailed
molecular
characterization
with
minimal
sample
preparation
non-destructive
analysis.
This
analytical
method
provides
information
about
composition,
structure,
interactions
pharmaceutical
compounds,
facilitating
various
stages
development
from
initial
screening
to
final
quality
control.
Recent
advancements
instrumentation,
such
Surface-Enhanced
(SERS)
Coherent
Anti-Stokes
(CARS),
have
further
expanded
its
applications.
Its
ability
provide
insights,
coupled
technology,
positions
an
indispensable
industry,
that
holds
promise
accelerating
new
therapeutics
improving
efficiency
processes.
Language: Английский
Emerging biomedical applications of surface-enhanced Raman spectroscopy integrated with artificial intelligence and microfluidic technologies
Zehra Taş,
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Fatih Çiftçi,
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Kutay İçöz
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et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy,
Journal Year:
2025,
Volume and Issue:
339, P. 126285 - 126285
Published: April 23, 2025
Language: Английский
Prediction of Cardiac Differentiation in Human Induced Pluripotent Stem Cell-Derived Cardiomyocyte Supernatant using Surface-Enhanced Raman Spectroscopy and Machine Learning
Biosensors and Bioelectronics,
Journal Year:
2025,
Volume and Issue:
unknown, P. 117528 - 117528
Published: April 1, 2025
Language: Английский
The application of Raman spectroscopy for the diagnosis and monitoring of lung tumors
Yuyang Miao,
No information about this author
Lihong Wu,
No information about this author
Junlian Qiang
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et al.
Frontiers in Bioengineering and Biotechnology,
Journal Year:
2024,
Volume and Issue:
12
Published: April 18, 2024
Raman
spectroscopy
is
an
optical
technique
that
uses
inelastic
light
scattering
in
response
to
vibrating
molecules
produce
chemical
fingerprints
of
tissues,
cells,
and
biofluids.
strategies
high
levels
specificity
without
requiring
extensive
sample
preparation,
allowing
for
the
use
advanced
tools
such
as
microscopes,
fiber
optics,
lasers
operate
visible
near-infrared
spectral
range,
making
them
increasingly
suitable
a
wide
range
medical
diagnostic
applications.
Metal
nanoparticles
nonlinear
effects
can
improve
signals,
optimized
optic
probes
make
real-time,
Language: Английский
Unveiling brain disorders using liquid biopsy and Raman spectroscopy
Jeewan C. Ranasinghe,
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Ziyang Wang,
No information about this author
Shengxi Huang
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et al.
Nanoscale,
Journal Year:
2024,
Volume and Issue:
16(25), P. 11879 - 11913
Published: Jan. 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.
Language: Английский
Rapid diagnosis of bacterial vaginosis using machine-learning-assisted surface-enhanced Raman spectroscopy of human vaginal fluids
Xin‐Ru Wen,
No information about this author
Jia‐Wei Tang,
No information about this author
Jie Chen
No information about this author
et al.
mSystems,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 10, 2024
Bacterial
vaginosis
(BV)
is
an
abnormal
gynecological
condition
caused
by
the
overgrowth
of
specific
bacteria
in
vagina.
This
study
aims
to
develop
a
novel
method
for
BV
detection
integrating
surface-enhanced
Raman
scattering
(SERS)
with
machine
learning
(ML)
algorithms.
Vaginal
fluid
samples
were
classified
as
positive
or
negative
using
BVBlue
Test
and
clinical
microscopy,
followed
SERS
spectral
acquisition
construct
data
set.
Preliminary
analysis
revealed
notable
disparities
characteristic
peak
features.
Multiple
ML
models
constructed
optimized,
convolutional
neural
network
(CNN)
model
achieving
highest
prediction
accuracy
at
99%.
Gradient-weighted
class
activation
mapping
(Grad-CAM)
was
used
highlight
important
regions
images
prediction.
Moreover,
CNN
blindly
tested
on
spectra
vaginal
collected
from
40
participants
unknown
infection
status,
90.75%
compared
results
combined
microscopy.
technique
simple,
cheap,
rapid
accurately
diagnosing
bacterial
vaginosis,
potentially
complementing
current
diagnostic
methods
laboratories.
Language: Английский
Raman spectroscopy: A promising analytical tool used in human reproductive medicine
Chao Zheng,
No information about this author
Lumei Zhang,
No information about this author
Hefeng Huang
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et al.
Journal of Pharmaceutical and Biomedical Analysis,
Journal Year:
2024,
Volume and Issue:
249, P. 116366 - 116366
Published: July 15, 2024
Language: Английский
Advanced Vibrational Spectroscopy and Bacteriophages Team Up: Dynamic Synergy for Medical and Environmental Applications
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(15), P. 8148 - 8148
Published: July 26, 2024
Bacteriophages
are
emerging
as
a
promising
alternative
in
combating
antibiotic-resistant
bacteria
amidst
the
escalating
global
antimicrobial
resistance
crisis.
Recently,
there
has
been
notable
resurgence
of
interest
phages,
prompting
extensive
research
into
their
therapeutic
potential.
Beyond
conventional
microbiology
and
virology
techniques,
such
genomics
proteomics,
novel
phenotypic
chemical
characterization
methods
being
explored.
Among
these,
is
growing
vibrational
spectroscopy,
especially
advanced
modalities
surface-enhanced
Raman
spectroscopy
(SERS),
tip-enhanced
(TERS),
atomic
force
microscopy-infrared
(AFM-IR),
which
offer
improved
sensitivity
spatial
resolution.
This
review
explores
spectrum
uses
for
bacteriophages,
including
its
role
diagnostics,
biosensing,
phage
detection,
assistance
phage-based
therapy,
advancing
basic
research.
Language: Английский