ACS Nano,
Journal Year:
2024,
Volume and Issue:
18(36), P. 24860 - 24871
Published: Aug. 28, 2024
Diagnostic
and
monitoring
for
drug-induced
liver
injury
(DILI)
predominantly
rely
on
serum
aminotransferases.
However,
owing
to
their
widespread
expression
across
multiple
organs,
a
significant
challenge
emerges
from
the
absence
of
reliable
biomarkers
DILI
diagnosis.
Herein,
we
introduce
concept
detection,
circumventing
nonspecific
elevation
delayed
release
aminotransferases
then
straightforwardly
focusing
core
feature
DILI,
abnormal
gene
caused
by
drug
overdose.
The
developed
full-scale
platform
integrates
properties
spherical
nucleic
acids
with
elaborately
designed
fluorescence
in
situ
hybridization
sequences,
enabling
sensitive
specific
profiling
drug-overdosed
miR-122
alterations
molecular,
cellular,
organismal,
clinical
scales
effectively
bypassing
phenotypic
features
disease.
Furthermore,
diagnostic
efficacies
total
RNA
extracted
both
mouse
human
blood
samples
diagnosis
were
analyzed
using
receiver
operating
characteristic
curve
principal
component
analysis.
We
anticipate
that
this
universal
holds
potential
facilitating
diagnosis,
therapeutic
evaluation,
prognosis.
ACS Nano,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 23, 2024
Point-of-care
(POC)
nanosensors
with
high
screening
efficiency
show
promise
for
user-friendly
manipulation
in
the
ever-increasing
on-site
analysis
demand
illness
diagnosis,
environmental
monitoring,
and
food
safety.
Currently,
inspired
by
merits
of
integrating
advanced
nanomaterials,
molecular
biology,
machine
learning,
artificial
intelligence,
lateral
flow
immunoassay
(LFIA)-based
POC
have
been
devoted
to
satisfying
commercial
demands
terms
sensitivity,
specificity,
practicality.
Herein,
we
examine
use
multidimensional
enhanced
LFIA
various
fields
over
past
two
decades,
focusing
on
introducing
nanomaterials
improve
acquisition
capability
small
order
magnitude
targets
through
engineering
transformations
emphasizing
interdomain
fusion
collaboratively
address
inherent
challenges
current
applications,
such
as
multiplexing,
development
detectors
quantitative
analysis,
more
practical
sensitivity
enhancement.
Specifically,
this
comprehensive
review
encompasses
latest
advances
comprehending
an
alternative
signal
transduction
pattern,
aiming
achieve
rapid,
ultrasensitive,
"sample-to-answer"
available
options
progressive
applications
nanosensors.
In
summary,
cross-collaboration
disciplines,
has
potential
break
barriers
toward
commercialization
laboratory-level
nanosensors,
thus
leading
emergence
next
generation
LFIA.
Deleted Journal,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 5, 2025
Abstract
Lateral
flow
assays
(LFAs)
are
widely
applicable
in
clinical
point‐of‐care
testing
(POCT)
due
to
their
unique
advantages
such
as
simplicity,
rapidity,
and
cost‐effectiveness.
However,
sensitivity
is
often
constrained
by
the
background
autofluorescence
of
biological
sample,
self‐matrix,
or
readout
technique,
thereby
leading
overlooking
trace
amounts
biomarkers
present
early
disease.
In
recent
years,
various
nanomaterials‐based
methods
have
been
developed
address
this
issue,
including
time‐gated
wavelength‐differentiated
strategy
external
modulated
for
separation
minimize
interference
from
samples.
This
review
provides
a
comprehensive
overview
low‐background
luminescent
nanoparticles
(LBLNPs)‐enhanced
LFA
systems,
focusing
on
analyzing
underlying
mechanism
these
nanomaterials
improving
accuracy
LFAs
platform
diagnosis.
Representative
examples
selected
demonstrate
potential
detecting
disease‐associated
samples
blood,
urine,
saliva
et
al.
Finally,
unresolved
challenges
future
development
prospects
briefly
discussed.
Small,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 23, 2025
Abstract
Rapid
and
sensitive
detection
of
Epstein−Barr
virus
cell‐free
DNA
(EBV
cfDNA)
is
crucial
for
early
diagnosis
monitoring
nasopharyngeal
carcinoma
(NPC),
but
accessibility
to
screening
limited
by
complicated
costly
conventional
isolation
purification
approaches.
Here,
a
fully
integrated
ion
concentration
polarization
(ICP)‐enriched
nanozyme‐catalyzed
lateral
flow
assay
(ICP‐cLFA)
developed,
enabling
total
analysis
EBV
cfDNA
in
whole
blood
samples,
with
isolation,
pre‐concentration,
amplification
performed
on
microfluidic
chip,
consequently
providing
the
signal
readout
within
75
min.
Specifically,
ICP
preconcentration
steps,
together
target
recognition
catalyzed
platinum‐decorated
mesoporous
gold
nanosphere
(MGNS@Pt)
nanozyme,
result
an
ultralow
limit
4
aM
standard
samples
100
from
NPC‐bearing
rats.
The
high
sensitivity
specificity
ICP‐cLFA
suggest
strong
potential
resource‐limited
clinical
field
applications.
Analytical Chemistry,
Journal Year:
2024,
Volume and Issue:
96(32), P. 13299 - 13307
Published: Aug. 2, 2024
Exosomes
have
received
considerable
attention
as
potent
reference
markers
for
the
diagnosis
of
various
neoplasms
due
to
their
close
and
direct
relationship
with
proliferation,
adhesion,
migration
tumor.
The
ultrasensitive
detection
cancer-derived
low-abundance
exosomes
is
imperative,
but
still
a
great
challenge.
Herein,
we
report
an
electrochemiluminescence
(ECL)
biosensor
based
on
DNA-bio-bar-code
hybridization
chain
reaction
(HCR)-mediated
dual
signal
amplification
exosomes.
In
this
system,
two
types
aptamers
were
modified
magnetic
nanoprobe
(MNPs)
gold
nanoparticles
(AuNPs)
numerous
bio-bar-code
DNA,
respectively,
which
formed
"sandwich"
structures
in
presence
specific
target
separated
under
field,
DNA
released
by
dissolving
AuNPs.
triggered
HCR
procedure
produce
good
deal
long
duplex
structure
embedding
hemin,
generated
strong
ECL
coreactors
Under
optimal
conditions,
it
exhibited
linearly
ranging
from
10
Advanced Science,
Journal Year:
2024,
Volume and Issue:
11(42)
Published: Sept. 19, 2024
Abstract
The
colloidal
gold
nanoparticle
(AuNP)‐based
colorimetric
lateral
flow
assay
(LFA)
is
one
of
the
most
promising
analytical
tools
for
point‐of‐care
disease
diagnosis.
However,
low
sensitivity
and
insufficient
accuracy
still
limit
its
clinical
application.
In
this
work,
a
machine
learning
(ML)‐optimized
LFA
with
ultrasound
enrichment
developed
to
achieve
sensitive
accurate
detection
tau
proteins
early
screening
Alzheimer's
(AD).
device
integrated
portable
ultrasonic
actuator
rapidly
enrich
microparticles
using
ultrasound,
which
essential
sample
pre‐enrichment
improve
sensitivity,
followed
by
ML
algorithms
classify
predict
enhanced
signals.
results
undiluted
serum
testing
show
that
protocol
enables
efficient
classification
quantification
AD
biomarker
protein
concentration
an
average
98.11%
prediction
99.99%,
achieving
(LOD)
as
10.30
pg
mL
−1
.
Further
(POCT)
human
plasma
samples
demonstrates
potential
use
in
trials.
Such
reliable
immunosensor
high
precision
superb
sensing
performance
expected
put
perspective
diagnostic
platform.
Analytical Chemistry,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
Herein,
a
supramolecular
DNA
nanodevice
was
formed
via
the
rolling
circle
amplification
(RCA)
and
hybridization
chain
reaction
(HCR)
cascade
on
tetrahedral
nanostructure
(TDN)
to
achieve
simultaneous
sensitive
detection
intracellular
imaging
of
dual-miRNAs
related
liver
cancer.
The
effectively
addressed
limitations
low
probe
loading
capacity
in
traditional
TDN
nanodevices
by
enriching
plenty
signal
probes
around
single
TDN,
significantly
enhancing
fluorescence
signal.
Impressively,
with
fulcrum
dense
structure
imparted
strong
rigidity,
ensuring
stability
decrease
aggregation
quenching
for
further
increasing
response.
Consequently,
biosensor
based
enabled
miRNA221
miRNA222,
achieved
accurate
situ
displaying
improved
capabilities
compared
TDN-based
nanodevices.
More
importantly,
precise
miRNA222
could
distinguish
hepatocellular
carcinoma
cells
different
degrees
metastasis
from
human
normal
cells,
providing
more
information
diagnosis
development
carcinoma.
ACS Omega,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 17, 2025
Since
their
inception
in
the
early
1960s,
use
of
nanoscale
materials
has
progressed
leaps
and
bounds,
role
diverse
fields
ranging
from
human
health
to
energy
is
undeniable.
In
this
report,
we
utilize
CAS
Content
Collection,
a
vast
repository
scientific
information
extracted
journals
patent
publications,
identify
emerging
topics
field.
This
involves
understanding
trends,
such
as
growth
certain
over
time,
well
establishing
relationships
among
topics.
We
achieved
by
using
host
strategies
including
quantitative
natural
language
processing
(NLP)
approach
270
subtopics
across
three
major
categories-materials,
applications,
properties-by
surveying
3
million
documents
spanning
two
decades
nanoscience
landscape.
wealth
been
condensed
into
several
conceptual
Trendscape
maps
other
data
visualizations,
providing
metrics
related
identified
concepts,
grouped
hierarchical
classes,
connections
between
them
have
explored.
Our
extensive
analysis
taking
advantage
an
NLP-based
along
with
robust
indexing
provides
valuable
insights
field
that
hope
can
help
inform
drive
future
research
efforts.
series
interconnected
papers,
will
present
our
findings
project,
focus
on
four
applications
materials-drug
delivery,
sensors,
energy,
catalysis-to
provide
more
comprehensive
detailed
picture
nanotechnology
these
fields.