Nanomaterials-integrated
CRISPR/Cas
systems
have
rapidly
emerged
as
powerful
next-generation
platforms
for
optical
biosensing.
These
integrated
harness
the
precision
of
CRISPR/Cas-mediated
nucleic
acid
detection
while
leveraging
unique
properties
nanomaterials
to
achieve
enhanced
sensitivity
and
expanded
analytical
capabilities,
thereby
broadening
their
diagnostic
potential.
By
incorporating
a
diverse
range
nanomaterials,
these
effectively
expand
toolbox
detection,
offering
adaptable
solutions
tailored
various
challenges.
This
review
provides
comprehensive
overview
successfully
into
CRISPR/Cas-based
sensing
systems.
It
examines
multiple
modalities,
including
fluorescence,
electrochemiluminescence,
colorimetry,
surface-enhanced
Raman
spectroscopy,
highlighting
how
facilitate
signal
amplification,
enable
multiplexing,
support
development
point-of-care
applications.
Additionally,
practical
applications
in
critical
fields
such
healthcare
diagnostics
environmental
monitoring
are
showcased.
While
offer
considerable
advantages,
several
real-world
challenges
complexity
assay
workflows,
impact
cost,
regulatory
hurdles
must
be
addressed
before
widespread
implementation
can
achieved.
identifying
obstacles
proposing
strategic
solutions,
we
aim
pave
way
continued
advancement
adoption
nanomaterial-integrated
biosensing
technologies.
Biosensors and Bioelectronics,
Год журнала:
2025,
Номер
279, С. 117402 - 117402
Опубликована: Март 31, 2025
CRISPR-based
diagnostics
have
gained
increasing
attention
as
biosensing
tools
able
to
address
limitations
in
contemporary
molecular
diagnostic
tests.
To
maximize
the
performance
of
assays,
much
effort
has
focused
on
optimizing
chemistry
and
biology
reaction.
However,
less
been
paid
improving
techniques
used
analyze
data.
date,
decisions
typically
involve
various
forms
slope-based
classification.
Such
methods
are
superior
traditional
based
assessing
absolute
signals,
but
still
limitations.
Herein,
we
establish
benchmarks
(total
accuracy,
sensitivity,
specificity)
using
common
methods.
We
compare
these
benchmark
with
three
different
quadratic
empirical
distribution
function
statistical
tests,
finding
significant
improvements
speed
accuracy
when
applied
a
clinical
data
set.
Two
techniques,
Kolmogorov-Smirnov
Anderson-Darling
report
lowest
time-to-result
highest
total
test
accuracy.
Furthermore,
developed
long
short-term
memory
recurrent
neural
network
classify
CRISPR-biosensing
data,
achieving
100
%
specificity
our
model
Finally,
provide
guidelines
choosing
classification
method
parameters
that
best
suit
assay's
needs.
Nanomaterials-integrated
CRISPR/Cas
systems
have
rapidly
emerged
as
powerful
next-generation
platforms
for
optical
biosensing.
These
integrated
harness
the
precision
of
CRISPR/Cas-mediated
nucleic
acid
detection
while
leveraging
unique
properties
nanomaterials
to
achieve
enhanced
sensitivity
and
expanded
analytical
capabilities,
thereby
broadening
their
diagnostic
potential.
By
incorporating
a
diverse
range
nanomaterials,
these
effectively
expand
toolbox
detection,
offering
adaptable
solutions
tailored
various
challenges.
This
review
provides
comprehensive
overview
successfully
into
CRISPR/Cas-based
sensing
systems.
It
examines
multiple
modalities,
including
fluorescence,
electrochemiluminescence,
colorimetry,
surface-enhanced
Raman
spectroscopy,
highlighting
how
facilitate
signal
amplification,
enable
multiplexing,
support
development
point-of-care
applications.
Additionally,
practical
applications
in
critical
fields
such
healthcare
diagnostics
environmental
monitoring
are
showcased.
While
offer
considerable
advantages,
several
real-world
challenges
complexity
assay
workflows,
impact
cost,
regulatory
hurdles
must
be
addressed
before
widespread
implementation
can
achieved.
identifying
obstacles
proposing
strategic
solutions,
we
aim
pave
way
continued
advancement
adoption
nanomaterial-integrated
biosensing
technologies.
