Journal of Agricultural and Food Chemistry,
Год журнала:
2024,
Номер
72(32), С. 17746 - 17761
Опубликована: Июль 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.
Critical Reviews in Food Science and Nutrition,
Год журнала:
2022,
Номер
64(10), С. 2960 - 2985
Опубликована: Окт. 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,
Год журнала:
2022,
Номер
7(51), С. 47518 - 47535
Опубликована: Дек. 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.
Analytical Chemistry,
Год журнала:
2022,
Номер
94(23), С. 8533 - 8538
Опубликована: Июнь 2, 2022
Grafting
specific
recognition
moieties
onto
solid-state
nanofluidic
channels
is
a
promising
way
for
selective
and
sensitive
sensing
of
analytes.
However,
the
time-consuming
interaction
between
analytes
main
hindrance
to
application
channel-based
sensors
in
rapid
detection.
Here,
we
show
integration
ordered
two-dimensional
covalent
organic
frameworks
(2D
COFs)
achieve
rapid,
selective,
detection
contaminants.
As
proof
concept,
thiourea-linked
2D
COF
(JNU-3)
as
unit
covalently
bonded
on
stable
artificial
anodic
aluminum
oxide
nanochannels
(AAO)
fabricate
JNU-3@AAO-based
sensor.
The
Hg(II)
with
highly
JNU-3
allows
sensor
realize
ultrafast
precise
determination
(90
s)
low
limit
(3.28
fg
mL–1),
wide
linear
range
(0.01–100
pg
good
precision
(relative
standard
deviation
3.8%
11
replicate
10
mL–1).
developed
method
was
successfully
applied
mercury
certified
reference
material
A072301c
(rice
powder),
real
water,
rice
samples
recoveries
90.4–99.8%.
This
work
reveals
great
potential
COFs-modified
contaminants
complicated
samples.
