Chemical Society Reviews,
Journal Year:
2023,
Volume and Issue:
52(24), P. 8500 - 8530
Published: Jan. 1, 2023
This
review
explores
various
point-of-care
optical
diagnostic
systems
combined
with
microdevices
developed
during
the
recent
COVID-19
pandemic
for
clinical
diagnostics.
Small,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 5, 2025
Democratizing
biomarker
testing
at
the
point-of-care
requires
innovations
that
match
laboratory-grade
sensitivity
and
precision
in
an
accessible
format.
Here,
high-sensitivity
detection
of
cardiac
troponin
I
(cTnI)
is
demonstrated
through
chemiluminescence-based
sensing,
imaging,
deep
learning-driven
analysis.
This
chemiluminescence
vertical
flow
assay
(CL-VFA)
enables
rapid,
low-cost,
precise
quantification
cTnI,
a
key
protein
for
assessing
heart
muscle
damage
myocardial
infarction.
The
CL-VFA
integrates
user-friendly
chemiluminescent
paper-based
sensor,
polymerized
enzyme-based
conjugate,
portable
high-performance
CL
reader,
neural
network-based
cTnI
concentration
inference
algorithm.
measures
over
broad
dynamic
range
covering
six
orders
magnitude
operates
with
50
µL
serum
per
test,
delivering
results
25
min.
system
achieves
limit
0.16
pg
mL-1
average
coefficient
variation
under
15%,
surpassing
traditional
benchtop
analyzers
by
order
magnitude.
In
blinded
validation,
computational
accurately
concentrations
patient
samples,
demonstrating
robust
correlation
against
clinical-grade
FDA-cleared
analyzer.
These
highlight
potential
as
diagnostic
tool
accessible,
rapid
meets
needs
diverse
healthcare
settings,
from
emergency
care
to
underserved
regions.
Nature Communications,
Journal Year:
2024,
Volume and Issue:
15(1)
Published: Aug. 20, 2024
Point-of-care
serological
and
direct
antigen
testing
offers
actionable
insights
for
diagnosing
challenging
illnesses,
empowering
distributed
health
systems.
Here,
we
report
a
POC-compatible
serologic
test
Lyme
disease
(LD),
leveraging
synthetic
peptides
specific
to
LD
antibodies
paper-based
platform
rapid,
cost-effective
diagnosis.
Antigenic
epitopes
conserved
across
Borrelia
burgdorferi
genospecies,
targeted
by
IgG
IgM
antibodies,
are
selected
develop
multiplexed
panel
detection
of
from
patient
sera.
Multiple
peptide
epitopes,
when
combined
synergistically
with
machine
learning-based
diagnostic
model
achieve
high
sensitivity
without
sacrificing
specificity.
Blinded
validation
15
LD-positive
negative
samples
shows
95.5%
100%
Blind
the
CDC's
repository
confirms
accuracy,
matching
lab-based
two-tier
results,
correctly
differentiating
between
look-alike
diseases.
This
could
potentially
replace
cumbersome
testing,
improving
diagnosis
enabling
earlier
treatment
while
facilitating
immune
monitoring
surveillance.
ACS Nano,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 4, 2024
Successful
integration
of
point-of-care
testing
(POCT)
into
clinical
settings
requires
improved
assay
sensitivity
and
precision
to
match
laboratory
standards.
Here,
we
show
how
innovations
in
amplified
biosensing,
imaging,
data
processing,
coupled
with
deep
learning,
can
help
improve
POCT.
To
demonstrate
the
performance
our
approach,
present
a
rapid
cost-effective
paper-based
high-sensitivity
vertical
flow
(hs-VFA)
for
quantitative
measurement
cardiac
troponin
I
(cTnI),
biomarker
widely
used
measuring
acute
damage
assessing
cardiovascular
risk.
The
hs-VFA
includes
colorimetric
sensor,
portable
reader
time-lapse
computational
algorithms
digital
validation
outlier
detection.
Operating
at
level
at-home
test,
enabled
accurate
quantification
cTnI
using
50
μL
serum
within
15
min
per
test
achieved
detection
limit
0.2
pg/mL,
by
gold
ion
amplification
chemistry
imaging.
It
also
high
coefficient
variation
<7%
very
large
dynamic
range,
covering
concentrations
over
6
orders
magnitude,
up
100
ng/mL,
satisfying
requirements.
In
blinded
testing,
this
platform
accurately
quantified
levels
patient
samples
showed
strong
correlation
ground
truth
values
obtained
benchtop
analyzer.
This
nanoparticle
amplification-based
democratize
access
diagnostics
provide
alternative
laboratory-based
testing.
Small,
Journal Year:
2024,
Volume and Issue:
unknown
Published: May 27, 2024
Abstract
Electrochemical
paper‐based
microfluidics
has
attracted
much
attention
due
to
the
promise
of
transforming
point‐of‐care
diagnostics
by
facilitating
quantitative
analysis
with
low‐cost
and
portable
analyzers.
Such
devices
harness
capillary
flow
transport
samples
reagents,
enabling
bioassays
be
executed
passively.
Despite
exciting
demonstrations
capillary‐driven
electrochemical
tests,
conventional
methods
for
fabricating
electrodes
on
paper
impede
flow,
limit
fluidic
pathways,
constrain
accessible
device
architectures.
This
account
reviews
recent
developments
in
electroanalytical
offers
perspective
revisiting
key
milestones
lateral
tests
engineering.
The
study
highlights
benefits
associated
sensing
discusses
how
detection
modality
can
leveraged
unlock
novel
functionalities.
Particular
focus
is
given
electrofluidic
platforms
that
embed
into
enhanced
biosensing
applications.
Together,
these
innovations
pave
way
diagnostic
technologies
offer
portability,
analysis,
seamless
integration
digital
healthcare,
all
without
compromising
simplicity
commercially
available
rapid
tests.
ACS Nano,
Journal Year:
2024,
Volume and Issue:
18(26), P. 16819 - 16831
Published: June 18, 2024
The
rapid
spread
of
SARS-CoV-2
caused
the
COVID-19
pandemic
and
accelerated
vaccine
development
to
prevent
virus
control
disease.
Given
sustained
high
infectivity
evolution
SARS-CoV-2,
there
is
an
ongoing
interest
in
developing
serology
tests
monitor
population-level
immunity.
To
address
this
critical
need,
we
designed
a
paper-based
multiplexed
vertical
flow
assay
(xVFA)
using
five
structural
proteins
detecting
IgG
IgM
antibodies
changes
immunity
levels.
Our
platform
not
only
tracked
longitudinal
levels
but
also
categorized
into
three
groups:
protected,
unprotected,
infected,
based
on
antibodies.
We
operated
two
xVFAs
parallel
detect
total
40
μL
human
serum
sample
<20
min
per
test.
After
assay,
images
sensor
panel
were
captured
mobile
phone-based
custom-designed
optical
reader
then
processed
by
neural
network-based
serodiagnostic
algorithm.
algorithm
was
trained
with
120
measurements/tests
30
samples
from
7
randomly
selected
individuals
blindly
tested
31
8
different
individuals,
collected
before
vaccination
as
well
after
or
infection,
achieving
accuracy
89.5%.
competitive
performance
xVFA,
along
its
portability,
cost-effectiveness,
operation,
makes
it
promising
computational
point-of-care
(POC)
test
for
monitoring
immunity,
aiding
timely
decisions
administration
booster
vaccines
general
public
health
policies
protect
vulnerable
populations.
ACS Sensors,
Journal Year:
2024,
Volume and Issue:
9(8), P. 4017 - 4027
Published: July 16, 2024
There
is
a
significant
demand
for
multiplexed
fluorescence
sensing
and
detection
across
range
of
applications.
Yet,
the
development
portable
compact
multiplexable
systems
remains
substantial
challenge.
This
difficulty
largely
stems
from
inherent
need
spectrum
separation,
which
typically
requires
sophisticated
expensive
optical
components.
Here,
we
demonstrate
compact,
lens-free,
cost-effective
setup
that
incorporates
machine
learning
scalable
detection.
method
utilizes
low-cost
components
pretrained
(ML)
model
to
enable
without
adjustments.
Its
multiplexing
capability
can
be
easily
scaled
up
through
updates
altering
hardware.
We
its
real-world
application
in
probe-based
Loop-Mediated
Isothermal
Amplification
(LAMP)
assay
designed
simultaneously
detect
three
common
respiratory
viruses
within
single
reaction.
The
effectiveness
this
approach
highlights
system's
potential
point-of-care
applications
require
solutions.
learning-enabled
demonstrated
work
would
pave
way
widespread
adoption
diverse
settings,
clinical
laboratories
field
diagnostics.
