Science Progress,
Journal Year:
2024,
Volume and Issue:
107(2)
Published: April 1, 2024
Contaminated
fresh
produce
remains
a
prominent
catalyst
for
food-borne
illnesses,
prompting
the
need
swift
and
precise
pathogen
detection
to
mitigate
health
risks.
This
paper
introduces
an
innovative
strategy
identifying
pathogens
in
samples
from
local
markets
grocery
stores,
utilizing
optical
sensing
machine
learning.
The
core
of
our
approach
is
photonics-based
sensor
system,
which
instantaneously
generates
signals
detect
presence.
Machine
learning
algorithms
process
copious
data
predict
contamination
probabilities
real
time.
Our
study
reveals
compelling
results,
affirming
efficacy
method
prevalent
pathogens,
including
Escherichia
coli
(
E.
coli)
Salmonella
enteric,
across
diverse
samples.
outcomes
underline
approach's
precision,
achieving
accuracies
up
95%,
surpassing
traditional,
time-consuming,
less
accurate
methods.
method's
key
advantages
encompass
real-time
capabilities,
heightened
accuracy,
cost-effectiveness,
facilitating
its
adoption
by
both
food
industry
stakeholders
regulatory
bodies
quality
assurance
safety
oversight.
Implementation
holds
potential
elevate
reduce
wastage.
research
signifies
substantial
stride
toward
development
dependable,
monitoring
system
produce.
Future
endeavors
will
be
dedicated
optimizing
performance,
crafting
portable
field
sensors,
broadening
capabilities.
novel
promises
enhancements
public
health.
Analytical Chemistry,
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 16, 2024
Liver
injury
significantly
affects
a
patient's
health
and
quality
of
life.
However,
timely
convenient
diagnosis
this
disease
via
whole
blood
detection
remains
challenging
due
to
the
lack
user-friendly
fast
readout
test
methods.
Herein,
we
developed
such
method
for
swift
auxiliary
liver
using
customed
point-of-care
testing
(POCT)
system
consisting
biothiols-activatable
chemiluminescent
probe
hand-held
POCT
device.
Biothiols
served
as
target
build
activable
chemiluminescence
their
abnormal
level
in
injury.
Compared
with
fluorescent
electrical
POCTs,
is
more
has
strong
universality.
By
incorporating
cyclodextrin
host-guest
chemistry,
intensified
while
mitigating
chemical
hemolysis
caused
by
dissolution
organic
molecules,
making
suitable
analysis.
Preliminary
assessments
aqueous
solutions,
living
cells,
mouse
models
confirmed
its
sensitivity,
reliability,
feasibility.
Simply
mixing
30
min
yielded
clear
signal
within
15
s
on
Utilizing
portable
detector,
reduced
biothiol
was
tested
18
patient
samples,
results
were
similar
those
measured
commercial
kit
vivo
imaging
system.
Thus,
work
provides
universal
platform
other
biomarkers
samples
opens
up
possibilities
rapid
clinical
diseases,
enabling
patients
conduct
home
self-examinations
ease.
Biomedical Microdevices,
Journal Year:
2024,
Volume and Issue:
26(2)
Published: May 23, 2024
Abstract
Particle
classification
plays
a
crucial
role
in
various
scientific
and
technological
applications,
such
as
differentiating
between
bacteria
viruses
healthcare
applications
or
identifying
classifying
cancer
cells.
This
technique
requires
accurate
efficient
analysis
of
particle
properties.
In
this
study,
we
investigated
the
integration
electrical
optical
features
through
multimodal
approach
for
classification.
Machine
learning
classifier
algorithms
were
applied
to
evaluate
impact
combining
these
measurements.
Our
results
demonstrate
superiority
over
analyzing
independently.
We
achieved
an
average
test
accuracy
94.9%
by
integrating
both
modalities,
compared
66.4%
alone
90.7%
alone.
highlights
complementary
nature
information
its
potential
enhancing
performance.
By
leveraging
sensing
imaging
techniques,
our
provides
deeper
insights
into
properties
offers
more
comprehensive
understanding
complex
biological
systems.
Graphical
abstract
Journal of Agricultural and Food Chemistry,
Journal Year:
2024,
Volume and Issue:
72(36), P. 20130 - 20139
Published: Aug. 28, 2024
We
combined
a
CRISPR/Cas12a
system
with
hybridization
chain
reaction
(HCR)
to
develop
an
ultrasensitive
magnetic
relaxation
switching
(MRS)
biosensor
for
detecting
viable
Foods,
Journal Year:
2023,
Volume and Issue:
12(15), P. 2868 - 2868
Published: July 28, 2023
Food
safety
is
a
significant
issue
that
affects
people
worldwide
and
tied
to
their
lives
health.
The
of
pesticide
residues
in
food
just
one
many
issues
related
safety,
which
leave
crops
are
transferred
through
the
chain
human
consumption.
Foods
contaminated
with
pose
serious
risk
health,
including
carcinogenicity,
neurotoxicity,
endocrine
disruption.
Although
traditional
methods,
gas
chromatography,
high-performance
liquid
mass
spectrometry,
can
be
used
achieve
quantitative
analysis
residues,
disadvantages
these
techniques,
such
as
being
time-consuming
costly
requiring
specialist
staff,
limit
application.
Therefore,
there
need
develop
rapid,
effective,
sensitive
equipment
for
food.
Microfluidics
rapidly
emerging
number
fields
due
its
outstanding
strengths.
This
paper
summarizes
application
microfluidic
techniques
pyrethroid,
carbamate,
organochlorine,
organophosphate
pesticides,
well
commercial
products.
Meanwhile,
study
also
outlines
development
microfluidics
combination
3D
printing
technology
nanomaterials
detecting
Journal of Dairy Science,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 1, 2024
This
article
summarizes
the
applications
of
biosensors
and
biomimetic
sensors
in
detection
residues
dairy
products.
Biosensors
utilize
biological
molecules
such
as
enzymes
or
antibodies
to
detect
residual
substances
products,
demonstrating
high
specificity
sensitivity.
Biomimetic
sensors,
inspired
by
biosensors,
use
synthetic
materials
mimic
sensing
mechanisms,
enhancing
stability
reproducibility.
Both
sensor
types
have
achieved
significant
success
detecting
pesticide
residues,
veterinary
drugs,
bacteria,
other
contaminants
The
not
only
improve
efficiency
residue
products
but
also
potential
reduce
time
cost
traditional
methods.
Their
sensitivity
make
them
powerful
tools
industry,
thus
contributing
ensuring
quality
safety
meeting
growing
consumer
demands
for
health
food
safety.
