Three-Dimensional SERS-Active Hydrogel Microbeads Enable Highly Sensitive Homogeneous Phase Detection of Alkaline Phosphatase in Biosystems
ACS Applied Materials & Interfaces,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 17, 2025
Alkaline
phosphatase
(ALP)
is
a
biomarker
for
many
diseases,
and
monitoring
its
activity
level
important
disease
diagnosis
treatment.
In
this
study,
we
used
the
microdroplet
technology
combined
with
an
in
situ
laser-induced
polymerization
method
to
prepare
Ag
nanoparticle
(AgNP)
doped
hydrogel
microbeads
(HMBs)
adjustable
pore
sizes
that
allow
small
molecules
enter
while
blocking
large
molecules.
The
AgNPs
embedded
microspheres
can
provide
SERS
activity,
improving
signal
of
diffuse
AgNPs.
A
specific
hydrolysis
reaction
ALP
on
5-bromo-4-chloro-3-indolylphosphate
(BCIP)
was
introduced
itsproduct
5,5′-dibromo-4,4′-dichloro-1H,1H-[2,2']bisindolyl-3,3′-dione
(BCI)
employed
assess
due
highly
resonance
Raman
activity.
sensing
platform
applied
model
serum
evaluate
inhibitors.
assay
showed
higher
sensitivity
than
UV–vis
absorption
spectroscopy,
lowest
detectable
concentration
1.0
×
10–20
M.
addition,
HepG2
cells
evaluated
using
platform,
showing
lower
ALP-expressing
controls
response
hypoxia
iron
metastasis.
This
SERS-activated
HMB
shows
great
potential
detecting
expected
help
analyze
complex
clinical
samples.
Язык: Английский
Mesoporous‐Confined Au Thorn Nano‐Pockets Enable of Precisely Capturing Target Molecules for Universal SERS Detection
Advanced Functional Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 9, 2025
Abstract
A
persistent
challenge
in
utilizing
gold
nanostructures
for
surface‐enhanced
Raman
scattering
(SERS)
lies
positioning
analytes
into
the
nanoscale
hotspots
that
maximize
SERS
performance
and
achieve
universal
substrates.
Here,
a
novel
mesoporous
nano‐pockets
strategy
is
proposed
to
design
high
substrates
by
precisely
capturing
target
molecules
plasmonic
hotspots.
This
achieved
through
silica
as
confined
growth
of
short
Au
thorns
on
Fe
3
O
4
core
(Fe
@sAT@mSiO
2
),
whilst
vertically
open
structure
with
nanospace
large
enough
at
tips
capture
hydroxyl
group
surface.
The
electromagnetic
field
enhancement
obtained
from
an
average
gap
size
nm
sufficient
amplify
signal
peaks
trapped
molecules.
Therefore,
as‐prepared
proves
be
ultrasensitive
reliable
detection
15
kinds
drugs,
all
limits
lower
than
those
reported
current
literature.
Moreover,
experimental
findings
are
further
corroborated
simulations
using
molecular
dynamics
finite
element
method.
These
mesoporous‐confined
thorn
accessible
promote
future
use
developing
method
various
fields.
Язык: Английский
Advanced SERSome-Based Artificial-Intelligence Technology for Identifying Medicinal and Edible Homologs
Talanta,
Год журнала:
2025,
Номер
unknown, С. 127931 - 127931
Опубликована: Март 1, 2025
Язык: Английский
Preoperative Identification of Papillary Thyroid Carcinoma Subtypes and Lymph Node Metastasis via Deep Learning-Assisted Surface-Enhanced Raman Spectroscopy
ACS Nano,
Год журнала:
2025,
Номер
unknown
Опубликована: Июнь 4, 2025
Accurate
preoperative
diagnosis
of
papillary
thyroid
carcinoma
(PTC)
histological
subtypes
and
lymph
node
metastasis
is
essential
for
formulating
personalized
treatment
strategies.
However,
their
challenged
by
the
limited
reliability
cytological
identification
low
accuracy
detection
using
ultrasound
imaging.
Herein,
a
deep
learning-assisted
surface-enhanced
Raman
scattering
(SERS)
chip
developed
PTC
evaluation
metastasis,
fine-needle
aspiration
(FNA)
samples.
The
convolutional
neural
network
algorithm
used
to
analyze
spectral
fingerprints,
successfully
distinguishing
with
an
95.83%.
Moreover,
SERS
platform
has
been
employed
identify
central
cervical
100%.
This
approach
highlights
potential
medicine,
facilitating
development
individualized
strategies,
reducing
overtreatment,
mitigating
recurrence
risk.
Язык: Английский