Polymers for Advanced Technologies,
Journal Year:
2024,
Volume and Issue:
35(12)
Published: Nov. 29, 2024
ABSTRACT
MXene‐based
hydrogels
represent
a
significant
advancement
in
biomedical
material
science,
leveraging
the
unique
properties
of
2D
MXenes
and
versatile
functionality
hydrogels.
This
review
discusses
recent
developments
integration
into
hydrogel
matrices,
focusing
on
their
applications
such
as
wound
healing,
drug
delivery,
antimicrobial
activity,
tissue
engineering,
biosensing.
MXenes,
due
to
remarkable
electrical
conductivity,
mechanical
robustness,
tunable
surface
chemistry,
enhance
properties,
responsiveness
environmental
stimuli.
Specifically,
have
shown
great
promise
accelerating
healing
through
photothermal
effects,
delivering
drugs
controlled
manner,
serving
antibacterial
agents.
Their
also
enables
targeted
cancer
therapies,
including
chemodynamic
facilitated
by
high
conductivity
properties.
Despite
promising
progress,
challenges
ensuring
biocompatibility
optimizing
synthesis
for
large‐scale
production
remain.
aims
provide
comprehensive
overview
current
state
applications,
highlighting
ongoing
advancements
potential
future
directions
these
multifunctional
materials.
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(2), P. e0314911 - e0314911
Published: Feb. 14, 2025
The
objective
of
this
research
was
to
conduct
a
comprehensive
evaluation
the
energy
and
environmental
efficiency
smart
sprayer
with
variable
rate
in
orange
production.
developed
from
standard
orchard
fixed
using
different
equipment.
Energy
indicators,
encompassing
efficiency,
productivity,
intensity
net
gain,
were
calculated.
Environmental
including
global
warming
potential,
acidification,
eutrophication
human
toxicity
potentials,
estimated
Life
Cycle
Assessment
(LCA)
method
15
midpoint
4
endpoint
categories.
findings
demonstrated
that
held
significant
advantage
over
conventional
terms
reducing
pesticide
deposition
on
trees,
lowering
consumption,
increasing
productivity
mitigating
impacts.
maximum
46%,
achieved
at
speed
1.6
km.hr
-1
.
changed
0.594
0.650
0.313
0.342
kg.MJ
,
respectively.
Global
Warming
Potential
(GWP)
declined
422.860
407.573
kg
CO
2
eq
per
ton
reduction
chemical
pesticide,
diesel
fuel
agricultural
machinery
consumption
contributed
decrease
emissions.
Consequently,
emerged
as
significantly
more
sustainable
efficient
solution
for
Inorganics,
Journal Year:
2025,
Volume and Issue:
13(3), P. 67 - 67
Published: Feb. 24, 2025
Perovskite
materials
have
emerged
as
one
of
the
most
promising
classes
compounds
in
recent
years
due
to
their
unique
combination
electrical,
dielectric,
and
magnetic
properties,
which
make
them
ideal
candidates
for
a
wide
range
advanced
technological
applications.
This
comprehensive
review
explores
latest
developments
behavior
perovskites,
providing
an
in-depth
analysis
underlying
mechanisms
potential
improving
device
performance.
The
covers
fundamental
aspects
charge
transport,
polarization,
interactions
perovskite
structures
including
impact
crystal
symmetry,
ion
migration,
external
stimuli
on
properties.
Moreover,
it
highlights
various
strategies
used
tailor
these
properties
through
compositional
engineering,
doping,
structural
modifications,
resulting
enhanced
efficiency,
stability,
multifunctionality
applications
such
photovoltaics,
capacitors,
dielectric
resonators,
spintronic
devices.
Additionally,
paper
addresses
challenges
associated
with
practical
implementation
stability
issues
under
harsh
environmental
conditions
scalability
industrial
concludes
outlook
future
directions,
emphasizing
need
further
research
overcome
unlock
full
next-generation
electronics,
energy
storage,
Journal of Macromolecular Science Part B,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 18
Published: March 5, 2025
Carbon
dioxide
has
gained
considerable
attention
as
a
green
alternative
solvent
for
various
industrial
processes,
such
chemical
reactions,
separations
and
material
processing.
On
the
other
hand,
polyethylene
glycol
(PEG)
is
handy
polymer
compound
which
finds
myriad
applications
in
many
industries
pharmaceuticals,
biotechnology
engineering.
This
study
introduces
machine
learning
models
based
upon
K-nearest
Neighbors,
Decision
Tree,
Adaptive
Boosting
Ensemble
algorithms
to
accurately
predict
CO2-saturated
PEG
density
function
of
molar
mass,
pressure
temperature.
An
experimental
dataset
utilized
purpose
developing
intelligent
models.
Also,
leverage
method
made
use
check
data
authenticity
model
development
relevancy
index
used
elucidate
relative
impacts
each
feature
on
density.
The
obtained
results
imply
that
acquired
was
appropriate
be
included
within
data-driven
models'
construction.
In
addition,
it
shown
factor
directly
affects
while
negatively
affected
by
temperature
mass.
Moreover,
found
developed
Neighbors
most
accurate
prediction
