The missing link between shelf life and food waste: are infrared sensing technologies underutilised?
Trends in Food Science & Technology,
Journal Year:
2024,
Volume and Issue:
148, P. 104494 - 104494
Published: April 23, 2024
One
of
the
main
objectives
food
safety
programs
is
assurance
freshness
and
quality
as
well
to
prolong
shelf
life
ingredients
or
products
along
supply
value
chain.
It
recognized
that
prolongation
could
play
a
key
role
for
reducing
waste
but
real
relationships
between
not
understood
due
lack
data.
Sensing
technologies
data
analytics
have
been
suggested
potential
tools
better
monitor
predict
fresh
produces.
These
new
produced
changes
in
way
composition,
overall
are
analysed
monitored,
adding
with
challenges
manufacturing
industry.
The
advantages
limitations
on
utilization
sensing
based
vibrational
spectroscopy,
including
mid
infrared
(MIR),
near
(NIR)
hyperspectral
imaging
assess
produces
reviewed.
different
studies
evaluated
concluded
use
(IR)
sensors
allow
development
efficient
robust
systems
products.
IR
has
shown
develop
management
decision
would
evaluation
monitoring
chains.
Language: Английский
Handheld NIR spectroscopy for real-time on-site food quality and safety monitoring
Advances in food and nutrition research,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
Language: Английский
Non-Destructive Evaluation of Physicochemical Properties for Egg Freshness: A Review
Agriculture,
Journal Year:
2024,
Volume and Issue:
14(11), P. 2049 - 2049
Published: Nov. 14, 2024
Egg
freshness
is
a
critical
factor
that
influences
the
egg’s
nutritional
value,
safety,
and
overall
quality;
consequently,
it
priority
for
both
producers
consumers.
This
review
examines
factors
affect
egg
freshness,
evaluates
traditional
modern
methods
assessing
freshness.
Traditional
techniques,
such
as
Haugh
unit
test
candling,
have
long
been
utilized;
however,
they
limitations,
which
are
primarily
due
to
their
destructive
nature.
The
also
highlights
advanced
non-destructive
methods,
including
Vis-NIR
spectroscopy,
ultrasonic
testing,
machine
vision,
thermal
imaging,
hyperspectral
Raman
NMR/MRI
technologies.
These
techniques
offer
rapid
accurate
assessments
while
preserving
integrity
of
eggs.
Despite
current
challenges
related
calibration
implementation,
integrating
artificial
intelligence
(AI)
learning
with
these
innovative
technologies
presents
promising
avenue
improvement
evaluation.
development
could
revolutionize
quality
control
processes
in
industry,
ensuring
consistently
high-quality
eggs
Language: Английский