Food Research International,
Год журнала:
2024,
Номер
196, С. 115100 - 115100
Опубликована: Сен. 17, 2024
This
state-of-the-art
review
comprehensively
explores
flavor
development,
spanning
biological
foundations,
analytical
methodologies,
and
the
socio-cultural
impact.
It
incorporates
an
industrial
perspective
examines
role
of
artificial
intelligence
(AI)
in
science.
Initiating
with
intricacies
flavor,
delves
into
interplay
taste,
aroma,
texture
rooted
sensory
experiences.
Advances
mathematical
modeling
techniques
open
avenues
for
interdisciplinary
collaboration
technological
innovation,
addressing
variations
perception.
The
impact
extends
beyond
gustatory
experiences,
influencing
economics,
society,
nutrition,
health,
innovation.
collective
understanding
deepens
insight
dynamic
between
olfactory
elements
within
cultural
landscapes,
emphasizing
how
experiences
are
woven
human
culture
heritage.
evolution
food
analysis,
encompassing
instrumental
a
combination
both,
integration
techniques,
signifies
progression
and,
promising
advancements
precision,
efficiency,
innovation
industry.
comprehensive
involved
analyzing
key
aspects
engineering
related
sectors.
Articles
book
chapters
on
these
topics
were
collected
using
metadata
analysis.
data
this
analysis
was
extracted
from
major
online
databases,
including
Scopus,
Web
Science,
ScienceDirect.
Nature Communications,
Год журнала:
2024,
Номер
15(1)
Опубликована: Март 26, 2024
Abstract
The
perception
and
appreciation
of
food
flavor
depends
on
many
interacting
chemical
compounds
external
factors,
therefore
proves
challenging
to
understand
predict.
Here,
we
combine
extensive
sensory
analyses
250
different
beers
train
machine
learning
models
that
allow
predicting
consumer
appreciation.
For
each
beer,
measure
over
200
properties,
perform
quantitative
descriptive
analysis
with
a
trained
tasting
panel
map
data
from
180,000
reviews
10
models.
best-performing
algorithm,
Gradient
Boosting,
yields
significantly
outperform
predictions
based
conventional
statistics
accurately
predict
complex
features
profiles.
Model
dissection
allows
identifying
specific
unexpected
as
drivers
beer
Adding
these
results
in
variants
commercial
alcoholic
non-alcoholic
improved
Together,
our
study
reveals
how
big
uncover
links
between
chemistry,
perception,
lays
the
foundation
develop
novel,
tailored
foods
superior
flavors.
Trends in Food Science & Technology,
Год журнала:
2024,
Номер
147, С. 104481 - 104481
Опубликована: Апрель 7, 2024
The
advances
in
NMR
and
mass
spectrometry
metabolomics
allows
a
comprehensive
profiling
of
foods,
potentially
covering
geographical
origin,
authenticity,
quality
integrity
issues.
However,
mining
specific
effects
within
the
corresponding
datasets
is
challenging
due
to
presence
set
interacting
factors
that
finally
determine
signatures.
This
review
provides
an
overview
different
approaches
used
food
then
focusing
on
chemometric
for
data
interpretation.
In
particular,
interpretation
hierarchically
presented,
starting
from
unsupervised
(PCA,
hierarchical
clusters)
supervised
multivariate
statistics
like
OPLS
AMOPLS
multiblock
ANOVA
discriminant
approaches.
Finally,
machine
learning
Artificial
Neural
Networks
are
discussed
as
novel
emerging
tool
support
Tailored
advisable,
rather
than
unique
solutions,
with
naively
provide
qualitative
recognition
patterns,
modelling
markers
identification.
Nonetheless,
approach
able
interpretate
complex
PLANT PHYSIOLOGY,
Год журнала:
2023,
Номер
193(2), С. 900 - 914
Опубликована: Июль 3, 2023
Abstract
The
strawberry
is
one
of
the
world's
most
popular
fruits,
providing
humans
with
vitamins,
fibers,
and
antioxidants.
Cultivated
(Fragaria
×
ananassa)
an
allo-octoploid
highly
heterozygous,
making
it
a
challenge
for
breeding,
quantitative
trait
locus
(QTL)
mapping,
gene
discovery.
Some
wild
relatives,
such
as
Fragaria
vesca,
have
diploid
genomes
are
becoming
laboratory
models
cultivated
strawberry.
Recent
advances
in
genome
sequencing
CRISPR-mediated
editing
greatly
improved
understanding
various
aspects
growth
development
both
strawberries.
This
review
focuses
on
fruit
quality
traits
that
relevant
to
consumers,
including
aroma,
sweetness,
color,
firmness,
shape.
Recently
available
phased-haplotype
genomes,
single
nucleotide
polymorphism
(SNP)
arrays,
extensive
transcriptomes,
other
big
data
made
possible
locate
key
genomic
regions
or
pinpoint
specific
genes
underlie
volatile
synthesis,
anthocyanin
accumulation
sweetness
intensity
perception.
These
new
will
facilitate
marker-assisted
introgression
missing
into
modern
varieties,
precise
selected
pathways.
Strawberries
poised
benefit
from
these
recent
advances,
consumers
tastier,
longer-lasting,
healthier,
more
beautiful.
Apple
is
an
economically
important
fruit
crop.
Changes
in
metabolism
accompanying
human-guided
evolution
can
be
revealed
using
a
multiomics
approach.
We
perform
genome-wide
metabolic
analysis
of
apple
fruits
collected
from
292
wild
and
cultivated
accessions
representing
various
consumption
types.We
find
decreased
amounts
certain
metabolites,
including
tannins,
organic
acids,
phenolic
flavonoids
as
the
transition
to
apples,
while
lysolipids
increase
"Golden
Delicious"
"Ralls
Janet"
pedigree,
suggesting
better
storage.
identify
total
222,877
significant
single-nucleotide
polymorphisms
that
are
associated
with
2205
metabolites.
Investigation
region
2.84
5.01
Mb
on
chromosome
16
containing
co-mapping
regions
for
indicates
importance
these
metabolites
quality
nutrition
during
breeding.
The
tannin
acidity-related
genes
Myb9-like
PH4
mapped
closely
weight
locus
fw1
3.41
3.76
15,
under
selection
domestication.
Lysophosphatidylethanolamine
(LPE)
18:1,
which
suppressed
by
fatty
acid
desaturase-2
(FAD2),
positively
correlated
firmness.
negatively
salicylic
abscisic
levels.
Further
functional
assays
demonstrate
regulation
hormone
levels
NAC-like
activated
Apetala3/Pistillata
(NAP)
ATP
binding
cassette
G25
(ABCG25),
respectively.This
study
provides
perspective
domestication
improvement,
valuable
resource
investigating
mechanisms
controlling
metabolite
content
quality.
