Journal of Food Protection,
Journal Year:
2024,
Volume and Issue:
87(12), P. 100396 - 100396
Published: Nov. 8, 2024
Conventional
detection
methods
require
the
isolation
and
enrichment
of
bacteria,
followed
by
molecular,
biochemical,
or
culture-based
analysis.
To
address
some
limitations
conventional
methods,
this
study
develops
a
machine
learning
(ML)
approach
to
analyze
excitation-emission
matrix
(EEM)
fluorescence
data
generated
based
on
bacteriophage
T7
Escherichia
coli
interactions
for
in-situ
live
bacteria
in
presence
fresh
produce
homogenate.
We
trained
classification
models
using
various
ML
algorithms
3-D
EEM
with
their
phage.
These
algorithms,
including
linear
Support
Vector
Classifier
(SVC)
Random
Forest
(RF),
demonstrate
high
accuracy
(>0.85)
detecting
E.
at
10
Microchemical Journal,
Journal Year:
2024,
Volume and Issue:
199, P. 110067 - 110067
Published: Feb. 1, 2024
Fortified
wines
covered
by
a
Protected
Designation
of
Origin
(PDO)
are
high-quality
products
appreciated
consumers,
whose
diversity
has
increased
in
recent
years,
leading
to
an
vulnerability
fraud.
In
this
work,
for
the
first
time,
excitation-emission
fluorescence
spectroscopy
method
combined
with
two
chemometric
approaches
was
developed
characterization
and
authentication
PDO
fortified
wines.
A
visual
assessment
landscapes
pointed
out
different
trends.
The
matrix
(EEM)
decomposed
using
Parallel
Factor
Analysis
(PARAFAC)
extraction
potential
fluorophores,
or
unfolded,
then,
resulting
matrices
were
subjected
Principal
Component
(PCA)
Partial
Least
Squares-Discriminant
(PLS-DA).
Both
able
discriminate
wine
type
within
each
PDO,
type,
production
process.
proposed
analytical
tools
could
be
used
as
alternative
control
rapid
screening
Spanish
Journal of Physics Conference Series,
Journal Year:
2025,
Volume and Issue:
2994(1), P. 012009 - 012009
Published: April 1, 2025
Abstract
Bulgaria
is
home
to
unique
grape
varieties,
such
as
Mavrud,
Broadleaved
Melnik,
Gamza,
Red
Misket,
and
Dimyat,
which
have
been
cultivated
for
thousands
of
years.
Despite
this
rich
history,
traditional
Bulgarian
wines
not
the
subject
extensive
research.
There
a
growing
need
fast
cost-effective
method
monitor
these
wines,
in
order
preserve
Bulgaria’s
viticultural
traditions.
To
address
this,
more
than
100
commercial
samples
collected
analysed
using
fluorescence
spectroscopy
with
both
benchtop
portable
instruments.
The
results
will
be
used
statistical
analysis
eventually
create
database
wine
serve
valuable
resource
researchers
working
improve
quality
consistency
wines.
