A general deep learning model for predicting and classifying pea protein content via visible and near-infrared spectroscopy
Tianpu Xiao,
Chunji Xie,
Li Yang
и другие.
Food Chemistry,
Год журнала:
2025,
Номер
478, С. 143617 - 143617
Опубликована: Март 1, 2025
Язык: Английский
Multiscale bioimpedance detection methods and modeling for dynamic non-destructive monitoring of agricultural product quality
Trends in Food Science & Technology,
Год журнала:
2025,
Номер
unknown, С. 104888 - 104888
Опубликована: Янв. 1, 2025
Язык: Английский
Predicting cadmium accumulation in carrot (Daucus carota L.) using reflectance spectroscopy and machine learning
Food Control,
Год журнала:
2025,
Номер
unknown, С. 111226 - 111226
Опубликована: Фев. 1, 2025
Язык: Английский
Detection of amylose content in rice samples with spectral augmentation and advanced machine learning
Journal of Food Composition and Analysis,
Год журнала:
2025,
Номер
unknown, С. 107455 - 107455
Опубликована: Март 1, 2025
Язык: Английский
Effects Elicited by Compost Tea on the Primary Metabolome and the Nutraceutical Quality of Radish Root
Adele Fasolino,
Maria Luisa Graziano,
Massimo Zaccardelli
и другие.
Horticulturae,
Год журнала:
2025,
Номер
11(4), С. 426 - 426
Опубликована: Апрель 16, 2025
It
is
desirable
to
find
and
evaluate
innovative
sustainable
products
guaranteeing
increasing
the
quality
productivity
of
radish
(Raphanus
sativus).
Compost
tea
(CT)
represents
a
natural
organic
preparation
providing
benefits
soil–plant
system,
including
biostimulant
action
against
climate
change.
Therefore,
we
evaluated
whether
CT
can
influence
nutraceutical
properties
its
primary
metabolism.
In
particular,
roots
resulting
from
treatment
were
examined
via
conventional
(total
antioxidant
phenol
contents)
spectroscopic
techniques
(high-resolution
NMR
NIR)
compared
with
controls.
was
proved
that
exerted
positive
effect
on
quality,
which
led
significantly
larger
size
in
those
treated
(TRT),
accompanied
by
higher
contents
total
antioxidants
phenols.
The
assignment
1H
13C
signals
spectra
allowed
delineation
fingerprint
metabolome,
processed
multivariate
statistical
analyses
(PCA,
PLS-DA,
heatmap
clusterisation).
TRT
metabolites
exhibited
peculiar
profile,
characterized
levels
glutamine
malic
acid,
along
lower
glucose,
fructose,
sucrose,
lactic
tryptophan.
NIR
spectroscopy
also
identified
recognisable
profile
TRT,
confirming
role
as
an
alternative
accessible
technique
appreciate
treatment’s
effects
radish.
Язык: Английский
Laser Induced Breakdown Spectroscopy as an emerging technique for olive oil, milk and honey authentication and traceability: A Review
Journal of Food Composition and Analysis,
Год журнала:
2025,
Номер
unknown, С. 107650 - 107650
Опубликована: Апрель 1, 2025
Язык: Английский
Spectroscopic techniques combined with chemometrics for rapid detection of food adulteration: Applications, perspectives, and challenges
Food Research International,
Год журнала:
2025,
Номер
unknown, С. 116459 - 116459
Опубликована: Апрель 1, 2025
Язык: Английский
Wavelength selection enables robust quantification of oil content with near-infrared spectroscopy in pea protein gels produced under varying heating conditions
Food Control,
Год журнала:
2024,
Номер
169, С. 110995 - 110995
Опубликована: Ноя. 4, 2024
Язык: Английский
Near-infrared spectroscopy analysis of proteins and fats in food
Marina Peruničić-Lučić,
Sinisa Masic
Hrana i ishrana,
Год журнала:
2023,
Номер
64(2), С. 34 - 38
Опубликована: Янв. 1, 2023
Spectroscopy
is
a
chemical
method
that
applies
the
interaction
of
optical
energy
with
sample
to
analyze
its
formation
and
which
covers
wavelengths
invisible
eye
from
780
nm
2500
nm.
We
proteins
fats
in
homogenized
triple
daily
meals
without
bread
for
army.
This
important
because
whole
meal
this
correlation
activity
soldiers.
analyzed
food
by
near-infrared
spectroscopy
over
eight
years
2017
2024
compared
our
results
classic
techniques:
Kjedahl-volumetric
analysis
Gerber-acidobutirometric
fats.
used
samples
different
concentrations
protein
fat
created
their
spectra
calibration
curves
spectral
range
4000
12800
cm-1.
Our
findings
confirm
are
more
similar
year
we
had
new
on
curve
both
these
kinds
samples.
For
example,
first
year,
60%
5-10%
or
less
Kjedahl
method,
then
2024,
percentage
was
95%.
It
really
good
comparison.
fats,
50%
were
standard
Gerber
2024.
The
main
advantage
there
no
preparation
use
any
reagents
also
you
can
have
than
5
minutes.
one
hundred
developed
fast
precise
quantifications
Язык: Английский