LWT,
Год журнала:
2024,
Номер
199, С. 116127 - 116127
Опубликована: Апрель 25, 2024
Novel
colorimetric
indicators
were
developed
by
incorporating
anthocyanins
into
alginate
hydrogel
beads
through
electrostatic
extrusion
for
intelligent
packaging.
Two
different
sizes
of
produced
and
applied
shrimp
minced
chicken
packaging
to
visually
detect
freshness
status
during
4
°C
storage.
To
assess
the
products,
viable
count
various
types
bacteria
(psychrotrophic,
H2S-producing,
mesophilic,
Pseudomonas
spp.),
total
volatile
basic
nitrogen
(TVB-N)
content,
pH,
K-value,
H-value,
biogenic
amines
level
analyzed.
The
indicators'
color
change
(ΔE)
was
then
correlated
with
these
parameters.
Color
analysis
storage
indicated
ΔE
values
below
10
over
30
in
hydrogels
incorporated
packaging,
respectively.
both
integrated
package
strongly
counts,
TVB-N,
H-value
(r≥0.8,
p<0.016),
as
well
(r=0.7,
p<0.05).
showed
subtle
changes
storage,
while
those
consistently
reflected
shelf-life
variations.
This
innovative
approach
shows
potential
improving
food
safety
quality
monitoring,
particularly
seafood
where
have
been
effective
signaling
product
freshness.
Advanced Materials,
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 25, 2024
Abstract
Colorimetric
sensors
play
a
crucial
role
in
promoting
on‐site
testing,
enabling
the
detection
and/or
quantification
of
various
analytes
based
on
changes
color.
These
offer
several
advantages,
such
as
simplicity,
cost‐effectiveness,
and
visual
readouts,
making
them
suitable
for
wide
range
applications,
including
food
safety
monitoring.
A
critical
component
portable
colorimetric
involves
their
integration
with
color
models
effective
analysis
interpretation
output
signals.
The
most
commonly
used
include
CIELAB
(Commission
Internationale
de
l'Eclairage),
RGB
(Red,
Green,
Blue),
HSV
(Hue,
Saturation,
Value).
This
review
outlines
use
via
digitalization
sensing
applications
within
monitoring
field.
Additionally,
challenges,
future
directions,
considerations
are
discussed,
highlighting
significant
gap
integrating
comparative
toward
determining
model
that
results
highest
sensor
performance.
aim
this
is
to
underline
potential
mitigating
global
impact
spoilage
contamination
health
economy,
proposing
multidisciplinary
approach
harness
full
capabilities
ensuring
safety.
