Polymers,
Journal Year:
2024,
Volume and Issue:
17(1), P. 28 - 28
Published: Dec. 26, 2024
Microfluidics
provides
cutting-edge
technological
advancements
for
the
in-channel
manipulation
and
analysis
of
dissolved
macromolecular
species.
The
intrinsic
potential
microfluidic
devices
to
control
key
characteristics
polymer
macromolecules
such
as
their
size
distribution
requires
unleashing
its
full
capacity.
This
work
proposes
a
combined
approach
analyzing
microscale
behavior
solutions
modifying
properties.
We
utilized
idea
modeling
cross-channel
diffusion
in
polydisperse
microflows
using
dynamic
light
scattering
curves
source
data.
model
was
implemented
into
Matlab
script
which
predicts
changes
at
chip
outputs.
verified
predictions
experiments
with
series
microchips
by
detecting
optical
responses
injected
nematic
liquid
crystals
presence
species
after
processing.
results
offer
new
approaches
tuning
dispersity
solution,
developing
auxiliary
tools
techniques
scattering,
labs-on-chips
diagnostics
processing
polymers.
Biosensors and Bioelectronics,
Journal Year:
2024,
Volume and Issue:
263, P. 116632 - 116632
Published: Aug. 3, 2024
Microfluidic
devices
are
increasingly
widespread
in
the
literature,
being
applied
to
numerous
exciting
applications,
from
chemical
research
Point-of-Care
devices,
passing
through
drug
development
and
clinical
scenarios.
Setting
up
these
microenvironments,
however,
introduces
necessity
of
locally
controlling
variables
involved
phenomena
under
investigation.
For
this
reason,
literature
has
deeply
explored
possibility
introducing
sensing
elements
investigate
physical
quantities
biochemical
concentration
inside
microfluidic
devices.
Biosensors,
particularly,
well
known
for
their
high
accuracy,
selectivity,
responsiveness.
However,
signals
could
be
challenging
interpret
must
carefully
analysed
carry
out
correct
information.
In
addition,
proper
data
analysis
been
demonstrated
even
increase
biosensors'
mentioned
qualities.
To
regard,
machine
learning
algorithms
undoubtedly
among
most
suitable
approaches
undertake
job,
automatically
highlighting
biosensor
signals'
characteristics
at
best.
Interestingly,
it
was
also
benefit
themselves,
a
new
paradigm
that
is
starting
name
"intelligent
microfluidics",
ideally
closing
benefic
interaction
disciplines.
This
review
aims
demonstrate
advantages
triad
microfluidics-biosensors-machine
learning,
which
still
little
used
but
great
perspective.
After
briefly
describing
single
entities,
different
sections
will
benefits
dual
interactions,
applications
where
reviewed
employed.
Lab on a Chip,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
The
proposed
Bayesian
optimization-based
approach
enhances
micromixer
performance
by
optimizing
geometric
parameters,
significantly
reducing
required
number
of
simulations,
and
accelerating
the
design
process
compared
to
conventional
methods.
Biosensors,
Journal Year:
2024,
Volume and Issue:
14(12), P. 613 - 613
Published: Dec. 13, 2024
Microfluidic
devices
have
revolutionized
biosensing
by
enabling
precise
manipulation
of
minute
fluid
volumes
across
diverse
applications.
This
review
investigates
the
incorporation
machine
learning
(ML)
into
design,
fabrication,
and
application
microfluidic
biosensors,
emphasizing
how
ML
algorithms
enhance
performance
improving
design
accuracy,
operational
efficiency,
management
complex
diagnostic
datasets.
Integrating
microfluidics
with
has
fostered
intelligent
systems
capable
automating
experimental
workflows,
real-time
data
analysis,
supporting
informed
decision-making.
Recent
advances
in
health
diagnostics,
environmental
monitoring,
synthetic
biology
driven
are
critically
examined.
highlights
transformative
potential
ML-enhanced
systems,
offering
insights
future
trajectory
this
rapidly
evolving
field.
Catalysts,
Journal Year:
2025,
Volume and Issue:
15(1), P. 37 - 37
Published: Jan. 3, 2025
Nicotinamide
mononucleotide
(NMN)
has
emerged
as
a
promising
non-natural
cofactor
with
significant
potential
to
transform
biocatalysis,
synthetic
biology,
and
therapeutic
applications.
By
modulating
NAD⁺
metabolism,
NMN
offers
unique
advantages
in
enzymatic
reactions,
metabolic
engineering,
regenerative
medicine.
This
review
provides
comprehensive
analysis
of
NMN’s
biochemical
properties,
mechanisms
action,
diverse
Emphasis
is
placed
on
its
role
addressing
challenges
multi-enzyme
cascades,
biofuel
production,
the
synthesis
high-value
chemicals.
The
paper
also
highlights
critical
research
gaps,
including
need
for
scalable
methods,
improved
integration
into
systems,
toxicity
studies
use.
Emerging
technologies
such
AI-driven
enzyme
design
CRISPR-based
genome
engineering
are
discussed
transformative
tools
optimizing
NMN-dependent
pathways.
Furthermore,
synergistic
biology
innovations,
cell-free
systems
dynamic
regulatory
networks,
explored,
paving
way
precise
modular
biotechnological
solutions.
Looking
forward,
versatility
positions
it
pivotal
tool
advancing
sustainable
bioprocessing
precision
Addressing
current
limitations
through
interdisciplinary
approaches
will
enable
redefine
boundaries
innovation.
serves
roadmap
leveraging
across
scientific
industrial
domains.
Cell Proliferation,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 26, 2025
ABSTRACT
Osteoarthritis
(OA)
is
the
most
prevalent
degenerative
joint
disease
worldwide,
imposing
a
substantial
global
burden.
However,
its
pathogenesis
remains
incompletely
understood,
and
effective
treatment
strategies
are
still
lacking.
Organoid
technology,
in
which
stem
cells
or
progenitor
self‐organise
into
miniature
tissue
structures
under
three‐dimensional
(3D)
culture
conditions,
provides
promising
vitro
platform
for
simulating
pathological
microenvironment
of
OA.
This
approach
can
be
employed
to
investigate
mechanisms,
carry
out
high‐throughput
drug
screening
facilitate
personalised
therapies.
review
summarises
structure,
OA
manifestations,
thereby
establishing
context
application
organoid
technology.
It
then
examines
components
arthrosis
system,
specifically
addressing
cartilage,
subchondral
bone,
synovium,
skeletal
muscle
ligament
organoids.
Furthermore,
it
details
various
constructing
organoids,
including
considerations
cell
selection,
classification
fabrication
techniques.
Notably,
this
introduces
concept
intelligent
manufacturing
organoids
by
incorporating
emerging
engineering
technologies
such
as
artificial
intelligence
(AI)
process,
forming
an
innovative
software
hardware
cluster.
Lastly,
discusses
challenges
currently
facing
highlights
future
directions
rapidly
evolving
field.
By
offering
comprehensive
overview
state‐of‐the‐art
methodologies
challenges,
anticipates
that
intelligent,
automated
will
expedite
fundamental
research,
discovery
translational
applications
orthopaedic
Analytical Chemistry,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 16, 2025
The
rapid
and
multiplexed
detection
of
waterborne
viruses
is
crucial
for
infection
prevention.
However,
current
methods
are
limited
by
low-quality
probes,
instrument
dependency,
time-consuming
procedures.
In
this
study,
we
developed
a
high-performance,
nanobody
pair-based,
multichannel
homogeneous
platform
the
simultaneous
three
viruses─SARS-CoV-2,
norovirus,
influenza
A
virus─in
aquatic
environments.
To
identify
robust
sensitive
multiepitope
pairs
these
viruses,
utilized
pressure-assisted
screening
docking
techniques.
For
detection,
synthesized
distinct
SiO2@TQD
types
with
unique
excitation
wavelengths,
each
acting
as
an
independent
signal
label.
By
integrating
antibody
arrays
labels
into
unified
platform,
sensor
capable
detecting
all
within
30
min.
system
demonstrated
limits
low
1.56
pg/mL
SARS-CoV-2
antigen,
0.1
norovirus
0.39
virus
surpassing
conventional
antigen
kits
sensitivity
enhancement
160.26-6.25
×
104-fold.
Notable
advantages
include
exceptional
specificity,
accuracy,
stability.
This
work
not
only
provides
transformative
solution
monitoring
pathogens
but
also
establishes
versatile
framework
developing
platforms
other
infectious
agents.
