Plant Polyphenol‐Based Injectable Hydrogels: Advances and Biomedical Applications
Renkai Zhang,
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Qiuyue Ma,
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Nannan Zheng
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et al.
Advanced Healthcare Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 27, 2025
Plant
polyphenol-based
hydrogels,
known
for
their
biocompatibility
and
adhesive
properties,
have
emerged
as
promising
materials
in
biomedical
applications.
These
hydrogels
leverage
the
catechol
group's
ability
to
form
stable
bonds
moist
environments,
similar
mussel
proteins.
This
review
provides
a
comprehensive
overview
of
synthesis,
adhesion
mechanisms,
applications,
particularly
wound
healing,
tissue
regeneration,
drug
delivery.
However,
challenges
related
vivo
stability
long-term
remain
critical
barriers
clinical
translation.
Future
research
should
focus
on
enhancing
bioactivity,
biocompatibility,
scalability
these
while
addressing
concerns
toxicity,
immune
responses,
large-scale
manufacturing.
Advances
artificial
intelligence-assisted
screening
3D/4D
bioprinting
are
expected
accelerate
development
Furthermore,
integration
biomimetic
designs
responsive
functionalities,
such
pH
or
temperature
sensitivity,
holds
promise
further
improving
therapeutic
efficacy.
In
conclusion,
multifunctional
plant
represents
frontier
advancing
personalized
medicine
minimally
invasive
treatments.
Language: Английский
The Effectiveness of Implementing Blended Learning Model in College English Speaking Teaching Supported by Information Technology
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
The
blended
learning
approach
has
been
explored
many
times
in
theory
and
seems
to
be
argued
about
its
superiority,
but
the
effect
practice
still
lacks
effective
data
prove
it.
This
paper
takes
full
account
of
contingencies
that
exist
teaching
practice,
focuses
on
English-speaking
as
object
study,
improves
control
design.
Integrate
concept
clarify
overall
mechanism
spoken
English.
Ensure
experimental
group
have
comparable
levels
English
through
random
selection,
try
our
best
exclude
interference
other
factors
experiment.
On
hand,
we
build
an
objective
model
quality
by
combining
BP
neural
network
genetic
algorithm.
was
fully
verified
integrating
students’
performance
evaluation
results.
results
show
before
after
teaching,
students
different
degrees
improvement
satisfaction,
motivation,
attitude.
model’s
also
validates
effectiveness
mode
Language: Английский