Journal of Agricultural and Food Chemistry,
Journal Year:
2024,
Volume and Issue:
72(32), P. 17746 - 17761
Published: July 30, 2024
In
order
to
solve
the
food
safety
problem
better,
it
is
very
important
develop
a
rapid
and
sensitive
technology
for
detecting
contamination
residues.
Organic
photoelectrochemical
transistor
(OPECT)
biosensor
rely
on
photovoltage
generated
by
semiconductor
upon
excitation
light
regulate
conductivity
of
polymer
channels
realize
analysis
under
zero
gate
bias.
This
integrates
excellent
characteristics
(PEC)
bioanalysis
high
sensitivity
inherent
amplification
ability
organic
electrochemical
(OECT).
Based
this,
OPECT
detection
has
been
proven
be
superior
traditional
methods.
this
review,
we
summarize
research
status
in
disease
markers
residue
analysis,
basic
principle,
classification,
biosensing
mechanism
are
briefly
introduced,
recent
applications
discussed
according
signal
strategy.
We
mainly
introduced
methods
applied
different
fields,
including
hazard
residues
such
as
prostate-specific
antigen,
heart-type
fatty
acid
binding
protein,
T-2
toxin
milk
samples,
fat
mass
objectivity
related
ciprofloxacin
milk.
The
provides
considerable
development
potential
construction
platforms
many
agriculture
food,
hopes
provide
some
reference
future
with
higher
selectivity,
faster
speed
sensitivity.
Analytical Chemistry,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 16, 2025
Multiplexed
and
portable
detection
of
small
molecular
food
contaminants
in
complex
matrices
remains
a
challenge
analytical
chemistry.
Herein,
inspired
by
the
multiplexed
detection,
nucleic-acid-targeting
capability,
programmability
Thermus
thermophilus
argonaute
(TtAgo),
fingerprint
recognition
nanopore
technology,
we
proposed
TtAgo-assisted
encoding
strategy
to
detect
three
mycotoxins
simultaneously
(AFB1,
OTA,
ZEN).
In
this
method,
effective
signal
conversion
turns
into
DNA
reporters
that
were
observed
via
technology
.
general,
guide
DNAs
(gDNAs)
released
presence
mycotoxins,
followed
specific
cleavage
mediated
TtAgo
release
reporters.
The
translocation
produces
highly
distinguishable
information
due
favorable
resolution
nanopore.
Owing
high
nanopore,
method
displayed
low
LODs
(AFB1
67.18
fM,
OTA
13.32
ZEN
11.69
fM)
with
wide
linear
ranges.
Furthermore,
specificity
practical
application
also
verified
showed
satisfactory
results.
conclusion,
offers
novel
avenue
for
molecules.
Critical Reviews in Food Science and Nutrition,
Journal Year:
2022,
Volume and Issue:
64(10), P. 2960 - 2985
Published: Oct. 11, 2022
Food
safety,
closely
related
to
economic
development
of
food
industry
and
public
health,
has
become
a
global
concern
gained
increasing
attention
worldwide.
Effective
detection
technology
is
great
importance
guarantee
safety.
Although
several
classical
methods
have
been
developed,
they
some
limitations
in
portability,
selectivity,
sensitivity.
The
emerging
CRISPR-Cas
systems,
uniquely
integrating
target
recognition
specificity,
signal
transduction,
efficient
amplification
abilities,
possess
superior
specificity
sensitivity,
showing
huge
potential
address
aforementioned
challenges
develop
next-generation
techniques
for
safety
detection.
In
this
review,
we
focus
on
recent
progress
mediated
biosensing
their
applications
monitoring.
properties
principles
commonly
used
systems
are
highlighted.
Notably,
the
frequently
coupled
nucleic
acid
strategies
enhance
selectivity
especially
isothermal
methods,
as
well
various
output
modes
also
systematically
summarized.
Meanwhile,
application
systems-based
biosensors
including
foodborne
virus,
bacteria,
fraud,
genetically
modified
organisms
(GMOs),
toxins,
heavy
metal
ions,
antibiotic
residues,
pesticide
residues
comprehensively
described.
Furthermore,
current
future
prospects
field
tentatively
discussed.
ACS Omega,
Journal Year:
2022,
Volume and Issue:
7(51), P. 47518 - 47535
Published: Dec. 16, 2022
Despite
a
large
amount
of
money
being
spent
on
both
food
analyses
and
control
measures,
various
food-borne
illnesses
associated
with
pathogens,
toxins,
pesticides,
adulterants,
colorants,
other
contaminants
pose
serious
threat
to
human
health,
thus
safety
draws
considerable
attention
in
the
modern
pace
world.
The
presence
biogenic
amines
processed
have
been
frequently
considered
as
primary
quality
parameter
order
check
freshness
spoilage
protein-rich
food.
Various
conventional
detection
methods
for
detecting
hazardous
analytes
including
microscopy,
nucleic
acid,
immunoassay-based
techniques
employed;
however,
recently,
array-based
sensing
strategies
are
becoming
popular
development
highly
accurate
precise
analytical
method.
Array-based
is
majorly
facilitated
by
advancements
multivariate
well
machine
learning-based
approaches.
These
allow
one
solve
typical
problem
interpretation
complex
response
patterns
generated
strategies.
Consequently,
neural
networks
enable
fast,
robust,
using
sensor
arrays.
Thus,
commercial
applications,
most
focus
has
shifted
toward
based
electrical
chemical
Therefore,
herein,
we
briefly
highlight
review
recently
reported
systems
supported
learning
analytics
monitor
field
forensics.
