ACS Sensors,
Journal Year:
2024,
Volume and Issue:
9(9), P. 4469 - 4494
Published: Sept. 9, 2024
Lung
cancer
remains
a
global
health
concern,
demanding
the
development
of
noninvasive,
prompt,
selective,
and
point-of-care
diagnostic
tools.
Correspondingly,
breath
analysis
using
nanobiosensors
has
emerged
as
promising
noninvasive
nose-on-chip
technique
for
early
detection
lung
through
monitoring
diversified
biomarkers
such
volatile
organic
compounds/gases
in
exhaled
breath.
This
comprehensive
review
summarizes
state-of-the-art
breath-based
diagnosis
employing
chemiresistive-module
supported
by
theoretical
findings.
It
unveils
fundamental
mechanisms
biological
basis
biomarker
generation
associated
with
cancer,
technological
advancements,
clinical
implementation
nanobiosensor-based
analysis.
explores
merits,
challenges,
potential
alternate
solutions
implementing
these
settings,
including
standardization,
biocompatibility/toxicity
analysis,
green
sustainable
technologies,
life-cycle
assessment,
scheming
regulatory
modalities.
highlights
nanobiosensors'
role
facilitating
precise,
real-time,
on-site
leading
to
improved
patient
outcomes,
enhanced
management,
remote
personalized
monitoring.
Additionally,
integrating
biosensors
artificial
intelligence,
machine
learning,
Internet-of-things,
bioinformatics,
omics
technologies
is
discussed,
providing
insights
into
prospects
intelligent
sniffing
nanobiosensors.
Overall,
this
consolidates
knowledge
on
breathomic
biosensor-based
screening,
shedding
light
its
significance
applications
advancing
medical
diagnostics
reduce
burden
hospitals
save
human
lives.
ACS Nano,
Journal Year:
2023,
Volume and Issue:
17(14), P. 13700 - 13714
Published: July 17, 2023
Digital
immunoassays
with
multiplexed
capacity,
ultrahigh
sensitivity,
and
broad
affordability
are
urgently
required
in
clinical
diagnosis,
food
safety,
environmental
monitoring.
In
this
work,
a
multidimensional
digital
immunoassay
has
been
developed
through
microparticle-based
encoding
artificial
intelligence-based
decoding,
enabling
detection
high
sensitivity
convenient
operation.
The
information
encoded
the
features
of
microspheres,
including
their
size,
number,
color,
allows
for
simultaneous
identification
accurate
quantification
multiple
targets.
Computer
vision-based
intelligence
can
analyze
microscopy
images
decoding
output
results
visually.
Moreover,
optical
imaging
be
well
integrated
microfluidic
platform,
allowing
encoding-decoding
computer
intelligence.
This
simultaneously
inflammatory
markers
antibiotics
within
30
min
range
from
pg/mL
to
μg/mL,
which
holds
great
promise
as
an
intelligent
bioassay
next-generation
biosensing.
ACS Nano,
Journal Year:
2024,
Volume and Issue:
18(3), P. 1757 - 1777
Published: Jan. 8, 2024
Many
systems
have
been
designed
for
the
detection
of
SARS-CoV-2,
which
is
virus
that
causes
COVID-19.
SARS-CoV-2
readily
transmitted,
resulting
in
rapid
spread
disease
human
populations.
Frequent
testing
at
point
care
(POC)
a
key
aspect
controlling
outbreaks
caused
by
and
other
emerging
pathogens,
as
early
identification
infected
individuals
can
then
be
followed
appropriate
measures
isolation
or
treatment,
maximizing
chances
recovery
preventing
infectious
spread.
Diagnostic
tools
used
high-frequency
should
inexpensive,
provide
diagnostic
response
without
sophisticated
equipment,
amenable
to
manufacturing
on
large
scale.
The
application
these
devices
enable
large-scale
data
collection,
help
control
viral
transmission,
prevent
propagation.
Here
we
review
functional
nanomaterial-based
optical
electrochemical
biosensors
accessible
POC
These
incorporate
nanomaterials
coupled
with
paper-based
analytical
inexpensive
substrates,
traditional
lateral
flow
technology
(antigen
antibody
immunoassays),
innovative
biosensing
methods.
We
critically
discuss
advantages
disadvantages
nanobiosensor-based
approaches
compared
widely
technologies
such
PCR,
ELISA,
LAMP.
Moreover,
delineate
main
technological,
(bio)chemical,
translational,
regulatory
challenges
associated
developing
reliable
biosensors,
prevented
their
translation
into
clinic.
Finally,
highlight
how
nanobiosensors,
given
unique
over
existing
tests,
may
future
pandemics.
ACS Sensors,
Journal Year:
2024,
Volume and Issue:
9(9), P. 4469 - 4494
Published: Sept. 9, 2024
Lung
cancer
remains
a
global
health
concern,
demanding
the
development
of
noninvasive,
prompt,
selective,
and
point-of-care
diagnostic
tools.
Correspondingly,
breath
analysis
using
nanobiosensors
has
emerged
as
promising
noninvasive
nose-on-chip
technique
for
early
detection
lung
through
monitoring
diversified
biomarkers
such
volatile
organic
compounds/gases
in
exhaled
breath.
This
comprehensive
review
summarizes
state-of-the-art
breath-based
diagnosis
employing
chemiresistive-module
supported
by
theoretical
findings.
It
unveils
fundamental
mechanisms
biological
basis
biomarker
generation
associated
with
cancer,
technological
advancements,
clinical
implementation
nanobiosensor-based
analysis.
explores
merits,
challenges,
potential
alternate
solutions
implementing
these
settings,
including
standardization,
biocompatibility/toxicity
analysis,
green
sustainable
technologies,
life-cycle
assessment,
scheming
regulatory
modalities.
highlights
nanobiosensors'
role
facilitating
precise,
real-time,
on-site
leading
to
improved
patient
outcomes,
enhanced
management,
remote
personalized
monitoring.
Additionally,
integrating
biosensors
artificial
intelligence,
machine
learning,
Internet-of-things,
bioinformatics,
omics
technologies
is
discussed,
providing
insights
into
prospects
intelligent
sniffing
nanobiosensors.
Overall,
this
consolidates
knowledge
on
breathomic
biosensor-based
screening,
shedding
light
its
significance
applications
advancing
medical
diagnostics
reduce
burden
hospitals
save
human
lives.
