Advances in Starch-Based Nanocomposites for Functional Food Systems: Harnessing AI and Nuclear Magnetic Resonance Technologies for Tailored Stability and Bioactivity
Yue Sun,
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Ziyu Wang,
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Jian Ye
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et al.
Foods,
Journal Year:
2025,
Volume and Issue:
14(5), P. 773 - 773
Published: Feb. 24, 2025
Starch-based
nanocomposites
(SNCs)
are
at
the
forefront
of
innovations
in
food
science,
offering
unparalleled
opportunities
for
enhancing
stability,
bioactivity,
and
overall
functionality
systems.
This
review
delves
into
potential
SNCs
to
address
contemporary
challenges
formulation,
focusing
on
synergistic
effects
their
components.
By
integrating
cutting-edge
technologies,
such
as
artificial
intelligence
(AI)
nuclear
magnetic
resonance
(NMR),
we
explore
new
avenues
precision,
predictability,
SNCs.
AI
is
applied
optimize
design
SNCs,
leveraging
predictive
modeling
fine-tune
material
properties
streamline
production
processes.
The
role
NMR
also
critically
examined,
with
particular
emphasis
its
capacity
provide
high-resolution
structural
insights,
monitor
stability
over
time,
elucidate
molecular
interactions
within
matrices.
Through
detailed
examples,
highlights
impact
unraveling
complex
behaviors
bioactive
compounds
encapsulated
Additionally,
discuss
integration
functional
assays
AI-driven
analytics
assessing
bioactivity
sensory
these
systems,
providing
a
robust
framework
rational
advanced
products.
synergy
between
AI,
NMR,
opens
pathways
developing
tailored,
high-performance
formulations
that
both
health
consumer
preferences.
Language: Английский
Detection of amylose content in rice samples with spectral augmentation and advanced machine learning
Journal of Food Composition and Analysis,
Journal Year:
2025,
Volume and Issue:
unknown, P. 107455 - 107455
Published: March 1, 2025
Language: Английский
Conducting Polymers-Based Gas Sensors: Principles, Materials, and Applications
Rongqing Dong,
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Mingna Yang,
No information about this author
Yinxiu Zuo
No information about this author
et al.
Sensors,
Journal Year:
2025,
Volume and Issue:
25(9), P. 2724 - 2724
Published: April 25, 2025
Conducting
polymers
(CPs)
have
emerged
as
promising
materials
for
gas
sensors
due
to
their
organic
nature
coupled
with
unique
and
versatile
optical,
electrical,
chemical,
electrochemical
properties.
This
review
provides
a
comprehensive
overview
of
the
latest
developments
in
conducting
polymer-based
sensors.
First,
fundamental
sensing
mechanisms
CPs-based
are
elucidated,
covering
diverse
transduction
modes
including
electrochemical,
chemiresistive,
piezoelectric,
field-effect
transistor-based
sensing.
Next,
various
types
employed
sensors,
such
polypyrrole,
polyaniline,
polythiophene,
composites
introduced,
emphasis
on
synthesis
methods,
structural
characteristics,
response
Finally,
wide
range
applications
these
is
discussed,
spanning
industrial
process
control,
environmental
monitoring,
food
safety,
biomedical
diagnosis,
other
fields,
well
existing
issues
long-term
stability
humidity
interference,
summary
biocompatibility
regulatory
standards
conductive
provided.
By
integrating
insights
from
mechanisms,
materials,
applications,
this
offers
holistic
understanding
It
also
highlights
future
research
directions,
device
miniaturization,
AI-assisted
identification,
multifunctional
integrated
systems,
wearable
flexible
sensor
platforms,
enhanced
sensitivity,
selectivity,
on-site
detection
capabilities.
Language: Английский