Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
34(36)
Published: April 16, 2024
Abstract
Targeted
drug
delivery
system
(DDS)
holds
exciting
prospects
in
biomedical
clinical
research
and
development.
However,
it
faces
a
significant
challenge
achieving
stable
safe
targeted
transportation
without
leakage
while
obtaining
precise
controllable
dosing
with
high
utilization
rate
low
side
effects.
Herein,
an
optical
tweezers‐based
light‐driven
technique
is
proposed
to
transport
construct
multi‐core/shell
microdroplets
enveloping
carriers
target
cells
as
novel,
safe,
efficient
DDS.
Drug‐loaded
core/shell
structures
are
first
fabricated
by
new
simple
injection
extrusion
method
then
transported
cell
dynamic
trap
power,
which
ensures
no
leakage,
exogenous
materials,
biothermal
damage
introduced
during
the
process.
Next,
realized
pushing
into
drug‐loaded
microdroplet
under
actions
of
forces,
constructs
structure
pure
environment
improve
action
efficiency.
Moreover,
quantitative
can
also
achieved
controlling
sizes/number
droplets
inside
microdroplets.
This
DDS
great
interest
frontier
medical
disease
treatment
fields.
Chemical Engineering Journal,
Journal Year:
2024,
Volume and Issue:
490, P. 151711 - 151711
Published: April 26, 2024
The
demand
for
high
food
safety
standards,
spoilage
prevention,
and
the
minimization
of
waste
has
spurred
extensive
investigation
into
intelligent
packaging.
Within
this
field,
considerable
attention
been
directed
towards
two-dimensional
(2D)
nanomaterials
owing
to
their
exceptionally
thin
layered
configuration
diverse
physicochemical,
electrical,
optical,
thermal
properties.
These
attributes
render
2D
highly
suitable
enhancing
sensing
capabilities
in
packaging
systems.
This
review
delves
forefront
research
concerning
utilization
applications.
It
provides
a
comprehensive
survey
concepts
explores
various
materials,
including
graphene-based
MXene,
silicate
clay,
investigated
potential
Additionally,
interprets
structure,
properties,
materials
biosensing
systems
encompassing
gas,
moisture,
pH,
bacteria
sensors,
indicators,
or
wireless
tags.
Moreover,
it
examines
influence
on
mechanical,
thermal,
barrier,
bioactive
properties
smart
packaging,
while
also
deliberating
respective
advantages
limitations.
By
combining
these
foundational
elements,
study
offers
distinctive
thorough
contribution
domain
laying
groundwork
future
development
sustainable
high-performance
materials.
International Journal of Biological Macromolecules,
Journal Year:
2024,
Volume and Issue:
265, P. 130899 - 130899
Published: March 13, 2024
The
development
of
biodegradable
active
packaging
films
with
hydrophobic
characteristics
is
vital
for
extending
the
shelf
life
food
and
reducing
reliance
on
petroleum-based
plastics.
In
this
study,
novel
cerium-based
metal-organic
framework
(Ce-MOF)
nanoparticles
were
successfully
synthesized.
Ce-MOF
then
incorporated
into
cassava
starch
matrix
at
varying
concentrations
(0.5
%,
1.5
3
4
%
w/w
total
solid)
to
fabricate
cassava-based
via
solution
casting
technique.
influence
morphology,
thermal
attributes,
physicochemical
properties
film
was
subsequently
determined
through
further
analyses.
Biomedical
analysis
including
antioxidant
activity
cellular
morphology
evaluation
in
presence
also
conducted.
results
demonstrated
that
consistent
dispersion
nanofillers
within
led
a
significant
enhancement
film's
crystallinity,
stability,
activity,
biocompatibility,
hydrophobicity.
introduction
contributed
reduced
water
solubility.
Considering
these
outcomes,
developed
cassava/Ce-MOF
undoubtedly
have
potential
applications.
Advanced Functional Materials,
Journal Year:
2024,
Volume and Issue:
34(31)
Published: March 22, 2024
Abstract
Wearable
and
self‐healing
soft
electronics
have
led
to
a
significant
emphasis
on
their
potential
in
creating
versatile,
conformable,
sustainable
electronic
modules.
Among
conductive
additives,
Liquid
metals
(LMs),
combining
both
solid
liquid
characteristics,
gained
widespread
attention
due
versatile
physical,
chemical,
electrical
properties
as
well
capability,
biocompatibility,
recyclability.
The
fluidity
of
LMs
facilitates
adaptability
various
experimental
conditions
components
for
specific
applications.
Moreover,
the
oxide
shell
exhibits
strong
compatibility
with
surface
functionalization
polymerization
processes,
enhancing
development
reliable
composite
materials.
Herein,
an
in‐depth
analysis
fundamental
characteristics
while
addressing
current
drawbacks,
such
unpredictable
reactivity
poor
stability,
is
presented.
To
harness
advantages
LMs,
integration
extensively
discussed
polymeric
materials
through
grafting
strategies,
leading
macromolecular
composites
exceptional
softness,
solubility,
functionalization,
versatility.
Furthermore,
applications
within
LM‐elastomer
composites,
particularly
focusing
relevance
fields
flexible
electronics,
are
investigated.
Finally,
LMs'
future
prospects
emphasized
by
highlighting
polymers,
thereby
providing
pathways
major
breakthroughs
based
devices.
Advanced Healthcare Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 6, 2025
Abstract
Neurodegenerative
diseases,
particularly
Alzheimer's
disease
and
Parkinson's
disease,
present
formidable
challenges
in
modern
medicine
due
to
their
complex
pathologies
the
absence
of
curative
treatments.
Despite
advances
symptomatic
management,
early
diagnosis
remains
essential
for
mitigating
progression
improving
patient
outcomes.
Traditional
diagnostic
methods,
such
as
MRI,
PET,
cerebrospinal
fluid
biomarker
analysis,
are
often
inadequate
detection
these
diseases.
Emerging
porous
materials,
including
metal–organic
frameworks
(MOFs),
covalent–organic
(COFs),
MXene,
zeolites,
silicon,
offer
promising
new
approaches
neurodegenerative
These
characterized
by
highly
tunable
physicochemical
properties,
have
potential
capture
concentrate
disease‐specific
biomarkers
amyloid‐beta
(Aβ),
tau
protein,
alpha‐synuclein
(α‐Syn).
The
integration
materials
into
advanced
biosensors
real‐time
holds
promise
revolutionizing
neurodiagnostic,
enabling
non‐invasive,
sensitive,
specific
platforms.
Furthermore,
incorporation
artificial
intelligence
(AI)
machine
learning
(ML)
techniques
analysis
sensor
data
enhances
accuracy
allows
more
efficient
interpretation
profiles.
AI
ML
can
optimize
feature
selection,
improve
pattern
recognition,
facilitate
prediction
progression,
making
them
indispensable
tools
personalized
medicine.
This
review
explores
diagnostics,
emphasizing
design,
functionality,
synergistic
role
advancing
clinical
applications.
