Oral Oncology Reports,
Год журнала:
2024,
Номер
10, С. 100273 - 100273
Опубликована: Март 13, 2024
•
Label-free
immunosensors
enable
personalized
cancer
treatments.
High
sensitivity
allows
label-free
sensors
to
detect
biomarkers.
Eliminating
the
need
of
expensive
labels
makes
these
affordable.
Immunosensors
can
simultaneously
multiple
Real-time
monitoring
aids
in
disease
management
and
treatment
efficacy.
ACS Applied Nano Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 10, 2025
Since
their
inception
in
the
early
1960s,
use
of
nanoscale
materials
has
progressed
leaps
and
bounds,
role
diverse
fields
ranging
from
human
health
to
energy
is
undeniable.
Nanosensors
are
devices
having
dimensions
designed
detect,
record,
transmit
signals
provide
valuable
data
information.
In
this
review,
we
utilize
CAS
Content
Collection,
a
vast
repository
scientific
information
extracted
journals
patent
publications,
identify
emerging
applications
field.
This
involves
understanding
trends,
such
as
growth
certain
topics
over
time,
well
establishing
relationships
between
topics.
Our
analysis
indicates
that
among
various
nanomorphologies
explored
nanosensors,
nanoparticles,
nanotubes,
quantum
dots
tend
lead.
terms
types
chemical
biological
sensors
account
for
nearly
80%
publications.
combination
with
bibliographic
data,
utilized
our
access
Registry
identified
host
across
substance
classes
(polymers,
small
molecules,
elements)
associated
nanosensor
Finally,
major
application
nanosensors
appears
be
biomedical
nature
(cancer
diagnosis/testing
drug
discovery,
example).
findings
highlighted
TrendScape
map
provides
an
overview
research
interest
concepts
We
also
snapshot
commercial
development
briefly
discuss
currently
under
development.
It
hope
review
comprehensive
field
serves
guide
researchers/scientists.
Sensors,
Год журнала:
2024,
Номер
24(9), С. 2865 - 2865
Опубликована: Апрель 30, 2024
Glioblastoma,
an
aggressive
primary
brain
tumor,
poses
a
significant
challenge
owing
to
its
dynamic
and
intricate
tumor
microenvironment.
This
review
investigates
the
innovative
integration
of
biosensor-enhanced
organ-on-a-chip
(OOC)
models
as
novel
strategy
for
in-depth
exploration
glioblastoma
microenvironment
dynamics.
In
recent
years,
transformative
approach
incorporating
biosensors
into
OOC
platforms
has
enabled
real-time
monitoring
analysis
cellular
behaviors
within
controlled
Conventional
in
vitro
vivo
exhibit
inherent
limitations
accurately
replicating
complex
nature
progression.
addresses
existing
research
gap
by
pioneering
models,
providing
comprehensive
platform
investigating
The
applications
this
combined
studying
dynamics
are
critically
scrutinized,
emphasizing
potential
bridge
between
simplistic
conditions.
Furthermore,
article
discusses
implications
elucidating
features
microenvironment,
encompassing
cell
migration,
proliferation,
interactions.
By
furnishing
insights,
these
significantly
contribute
unraveling
biology
glioblastoma,
thereby
influencing
development
more
accurate
diagnostic
therapeutic
strategies.
Journal of The Electrochemical Society,
Год журнала:
2024,
Номер
171(1), С. 017508 - 017508
Опубликована: Янв. 1, 2024
Depression
is
one
of
the
most
severe
mental
disorders,
and
facing
challengeable
lack
objective
diagnosis,
as
well
early
screening
predicting
treatment
responses.
Consequently,
developing
sensitive,
efficient,
convenient,
accurate,
real-time
detection
technology
for
depression
markers
earns
more
attention.
Electrochemical
immunosensor,
a
promising
method
analyzing
disease
markers,
selectively
binds
target
antigen
with
antibodies
(Abs),
converting
biological
signal
antigen-antibody
recognition
reaction
into
an
electrical
related
to
concentration
analyte.
This
has
thrived
in
recent
years
areas
such
point-of-care
(POC)
diagnosis.
article
systematically
reviews
construction
electrochemical
immunosensors
biomarkers
over
past
6
(2016–2022),
including
classification
these
sensors,
commonly
used
electrode
modification
materials,
optimization
strategies.
Finally,
challenges
future
development
clinical
applications
are
prospected.
Macromolecular Materials and Engineering,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 30, 2025
Abstract
This
study
presents
a
hybrid
modeling
approach
that
integrates
Kragelsky’s
friction
law
and
Archard’s
wear
with
an
artificial
neural
network
(ANN)
to
predict
the
coefficient
of
(COF)
specific
rate
(SWR)
in
epoxy‐based
self‐lubricating
composites
reinforced
graphite
MoS₂.
Given
complex,
nonlinear
interactions
among
tribological
parameters
such
as
contact
pressure,
sliding
speed,
hardness,
filler
composition,
traditional
empirical
models
often
fail
capture
behavior
accurately.
The
proposed
ANN
architecture
comprises
input
layer,
three
hidden
layers
employing
sigmoid,
ReLU,
power
activation
functions,
output
layer
predicting
COF
SWR.
is
trained
using
feed‐forward
method
backpropagation
minimize
prediction
error.
SEM
analysis
reveals
imparts
superior
resistance
compared
achieved
significantly
higher
accuracy
for
graphite‐reinforced
composites.
For
COF,
yielded
MSE
0.00073
R
²
0.9047,
while
MoS₂
showed
0.00318
0.5567.
SWR,
attained
1.3351
0.9809,
1.6993
0.8271.
reduced
performance
predictions
attributed
its
oxidative
degradation
forming
MoO₃.
model
also
offers
3D
surface
simulations,
aiding
composite
design
optimization
reducing
experimental
costs.
Abstract
Electrochemistry
has
been
one
of
the
important
tools
in
determining
or
evaluating
vital
conditions
with
help
powerful
and
influential
electrode
designs.
The
fundamentals
electrochemical
determination
are
simply
based
on
direct
indirect
electron
transfer
that
occurs
during
process
such
as
recognition
target
molecules
by
biorecognition
elements.
Therefore,
biosensors
have
a
significant
development
for
promising
analytical
applications,
particularly
field
biomedicine.
In
this
context,
immunosensors,
which
can
detect
biomarkers,
provide
many
advantages
their
good
performance
practicability.
Innovation
immunosensors
continues
rapidly,
non‐invasive
wearable
sensor
technologies,
especially
personal
equipment,
come
to
fore.
Developments
nanotechnology
easily
be
cited
an
driving
force
these
advances.
review,
design
technology
used
biomarker
detection
is
briefly
reviewed
contribution
nanoparticles
efficiency
examined
basis
future
applications.