Journal of Agricultural and Food Chemistry,
Journal Year:
2024,
Volume and Issue:
73(2), P. 1598 - 1607
Published: Dec. 31, 2024
In
this
study,
we
present
an
intelligent
electromagnetic-actuated
microfluidic
chip
integrated
with
a
G-quadruplex
DNAzyme-based
biocatalysis
platform
for
rapid
and
sensitive
tetracycline
(TC)
detection.
sensing
system,
TC
significantly
quenches
fluorescent
magnetic
carbon
dots
(M-CDs)
via
the
internal
filtration
effect
dynamic
quenching
(the
excitation
emission
wavelength
at
350
440
nm,
respectively).
Then,
on
M-CDs-Aptamer
is
exposed
bound
hemin
to
form
hemin-G-quadruplex
DNAzyme,
catalyzing
conversion
of
3,3',5,5'-tetramethylbenzidine
produce
blue
color.
This
enables
fluorescence/colorimetric
detection
TC.
Importantly,
automatic
electromagnet-integrated
was
designed
control
shuttling
materials
in
each
function
slot
according
programmed
sequence.
Under
optimal
conditions,
limits
fluorescence
colorimetric
methods
were
11
43
μmol/L,
respectively.
The
results
tilapia
(Oreochromis
nilotica)
comparable
those
traditional
high-performance
liquid
chromatography.
offers
excellent
performance
determination
potential
portable,
trace
pollutants
food
environment.
Advanced Science,
Journal Year:
2024,
Volume and Issue:
12(2)
Published: Nov. 22, 2024
Abstract
Bacterial
infection
is
a
crucial
factor
resulting
in
public
health
issues
worldwide,
often
triggering
epidemics
and
even
fatalities.
The
accurate,
rapid,
convenient
detection
of
viable
bacteria
an
effective
method
for
reducing
infections
illness
outbreaks.
Here,
unsupervised
learning–assisted
surface
acoustic
wave–interdigital
transducer‐driven
nano‐lens
holography
biosensing
platform
developed
the
ultrasensitive
amplification‐free
bacteria.
monitoring
device
integrated
with
effect
can
achieve
holographic
imaging
polystyrene
microsphere
probes
ultra‐wide
field
view
(∽28.28
mm
2
),
sensitivity
limit
as
low
99
nm.
A
lightweight
learning
hologram
processing
algorithm
considerably
reduces
training
time
computing
hardware
requirements,
without
requiring
datasets
manual
labels.
By
combining
phage–mediated
bacterial
DNA
extraction
enhanced
CRISPR–Cas12a
systems,
this
strategy
successfully
achieves
Salmonella
various
real
samples,
demonstrating
accuracy
validated
qPCR
benchmark
method.
This
approach
has
cost
(∽$500)
rapid
(∽1
h)
highly
sensitive
(∽38
CFU
mL
−1
allowing
emerging
powerful
tool
food
safety
inspection
clinical
diagnosis.
ACS Nano,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 10, 2025
Current
high-sensitivity
immunoassay
protocols
often
involve
complex
signal
generation
designs
or
rely
on
sophisticated
signal-loading
and
readout
devices,
making
it
challenging
to
strike
a
balance
between
sensitivity
ease
of
use.
In
this
study,
we
propose
homogeneous-based
intelligent
analysis
strategy
called
Mata,
which
uses
weight
quantify
basic
immune
signals
through
subunits.
We
perform
nanomagnetic
labeling
target
capture
events
micrometer-scale
polystyrene
subunits,
enabling
magnetically
regulated
kinetic
expression.
Signal
subunits
are
classified
the
multi-level
classifier
in
synergy
with
developed
deep
learning
recognition
models.
Subsequently,
quantified
achieve
ultra-high
sensitivity.
Mata
achieves
detection
0.61
pg/mL
20
min
for
interleukin-6
detection,
demonstrating
comparable
conventional
digital
immunoassays
over
22-fold
that
chemiluminescence
reducing
time
by
more
than
70%.
The
entire
process
relies
homogeneous
reaction
can
be
performed
using
standard
bright-field
optical
imaging.
This
balances
high
convenient
operation
has
few
hardware
requirements,
presenting
promising
solution
wide
accessibility.
Nano Letters,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 9, 2025
Point-of-care
testing
(POCT)
with
multiplexed
capability,
ultrahigh
sensitivity,
affordable
smart
devices,
and
user-friendly
operation
is
critically
needed
for
clinical
diagnostics
food
safety.
This
study
presents
a
deep-learning-assisted
microfluidic
immunoassay
platform
that
uses
smartphone-based
imaging
transcoding
system,
polystyrene
microsphere-based
encoding,
artificial-intelligence-assisted
decoding.
Microspheres
of
varying
sizes
act
as
multiprobes,
their
quantities
correlating
to
target
concentrations
after
an
immunoreaction
separation-filtration
within
the
chip.
A
smartphone
intelligent
decoding
software
captures
images
multiprobes
from
chip
performs
classification,
counting,
concentration
calculations.
The
"encoding-decoding"
strategy
integrated
design
allow
these
processes
be
completed
in
simple
steps,
eliminating
need
additional
immunomagnetic
separation.
As
proof
concept,
this
successfully
detected
multiple
respiratory
viruses
antibiotics
various
real
samples
high
sensitivity
30
min,
demonstrating
great
potential
smart,
universal
toolkit
next-generation
POCT
applications.
ACS Sensors,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 19, 2025
Regarding
the
significant
health
risks
of
pesticide
residue
in
foods,
while
current
sensors
still
suffer
from
limited
efficiency
and
stability,
as
well
difficulties
qualitative
identification
quantitative
detection
mixtures,
development
innovative
techniques
combined
with
advanced
methodology
holds
great
research
value.
Herein,
a
highly
efficient
intelligent
food
risk
evaluation
system
was
proposed
by
integrating
multicolor
fluorescent
responsive
assay
machine
learning
(ML)
algorithms
for
quantification
multiple
pesticides,
carbendazim
(CBZ),
heptachlor
(HEP),
chlordimeform
(CDF),
their
mixtures.
This
method
leveraged
color
changes
generated
interaction
between
carbon
dots
(CDs)
target
molecules.
By
extracting
signal
feature
values
these
reactions
visual
data
acquisition
ML
models,
this
enables
regardless
matrix
interference
through
dual-source
strategy
without
large
instruments.
The
developed
via
″stepwise
prediction″
automatically
demonstrated
robust
capability
discrimination
accuracy
99.3%
categorization
achieving
prediction
(R2
≥
0.8946)
concentration
detection,
verified
six
kinds
matrix.
significantly
improves
stability
efficiency,
providing
promising
tool
safety
monitoring.
