Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review
Ivan Malashin,
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D. A. Martysyuk,
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В С Тынченко
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et al.
Polymers,
Journal Year:
2024,
Volume and Issue:
16(23), P. 3368 - 3368
Published: Nov. 29, 2024
The
integration
of
machine
learning
(ML)
into
material
manufacturing
has
driven
advancements
in
optimizing
biopolymer
production
processes.
ML
techniques,
applied
across
various
stages
production,
enable
the
analysis
complex
data
generated
throughout
identifying
patterns
and
insights
not
easily
observed
through
traditional
methods.
As
sustainable
alternatives
to
petrochemical-based
plastics,
biopolymers
present
unique
challenges
due
their
reliance
on
variable
bio-based
feedstocks
processing
conditions.
This
review
systematically
summarizes
current
applications
techniques
aiming
provide
a
comprehensive
reference
for
future
research
while
highlighting
potential
enhance
efficiency,
reduce
costs,
improve
product
quality.
also
shows
role
algorithms,
including
supervised,
unsupervised,
deep
Language: Английский
Cyclodextrin reduced Fe(III) nanozyme-based colorimetric and photothermal dual-mode assay for early monitoring meat freshness by sensitive detection of hypoxanthine
Sujuan Sun,
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Junqing Yang,
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Gang Yang
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et al.
Food Chemistry,
Journal Year:
2025,
Volume and Issue:
unknown, P. 143917 - 143917
Published: March 1, 2025
Language: Английский
Updated insights into steady-modified anthocyanin food packaging: Novel strategies, characterization, application and future challenges
Jiayin Huang,
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Yu‐Lei Chen,
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Duanquan Lin
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et al.
Food Chemistry,
Journal Year:
2025,
Volume and Issue:
unknown, P. 144113 - 144113
Published: April 1, 2025
Language: Английский
Development of hydrophobic sodium carboxymethyl cellulose/polyvinyl alcohol/chitosan paper-based antimicrobial indicator cards based on a non-fluorinated silane coating for monitoring carp freshness
International Journal of Biological Macromolecules,
Journal Year:
2025,
Volume and Issue:
unknown, P. 142951 - 142951
Published: April 1, 2025
Language: Английский
pH-responsive indicator films contained composite anthocyanins for monitoring meat freshness
Zhiyuan Xu,
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Xizhen Yu,
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Wenzhe Liu
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et al.
Food Chemistry X,
Journal Year:
2025,
Volume and Issue:
27, P. 102487 - 102487
Published: April 1, 2025
The
color
changes
at
different
pH
(pH
6.0,
7.0
and
8.0)
intermolecular
interactions
of
anthocyanins
(purple
cabbage
(PC),
mulberry
fruit
(MF)
purple
sweet
potato
(PSP))
their
complex
with
proportions
(10:0,
9:1,
8:2,
7:3,
6:4,
5:5,
4:6,
3:7,
2:8
1:9
respectively)
were
investigated.
When
PC
MF
anthocyanin
solutions
mixed
in
a
ratio
9:1
(PC-MF
(9:1)),
the
change
was
most
obvious
distinguishable
values.
According
to
fourier
transform
infrared
spectroscopy
(FTIR)
results,
between
composite
stronger
formed
hydrogen
bonds.
PC-MF
(9:1)
indicator
film
exhibited
distinct
when
chicken
gradually
spoiled
for
8
d
storage
4
°C.
Based
on
gas
chromatography
mass
spectrometer
(GC-MS),
key
reason
that
reaction
gases
such
as
trimethylamine,
indole,
ammonium
carbamate,
butyric
acid
can
cause
changes.
Language: Английский