This
study
presents
the
use
of
nanoscale
covalent
organic
frameworks
(nCOFs)
conjugated
with
tumor-targeting
peptides
for
targeted
therapy
triple-negative
breast
cancer
(TNBC).
While
have
previously
been
used
delivery,
their
conjugation
COFs
represents
an
innovative
approach
in
this
field.
In
particular,
we
developed
alkyne-functionalized
nCOFs
chemically
modified
cyclic
RGD
(Alkyn-nCOF-cRGD).
configuration
is
designed
to
specifically
target
α
ACS Applied Nano Materials,
Journal Year:
2024,
Volume and Issue:
7(13), P. 15655 - 15662
Published: July 3, 2024
The
advancement
of
nanozymes
with
oxidase-initiating
activity
that
are
affordable
and
stable
is
essential
for
real-time
monitoring
in
biosensors,
medicine,
environmental
protection
remains
a
significant
challenge.
Covalent
organic
framework
(COF)
an
emerging
type
crystalline
porous
material
constructed
from
building
units
by
covalent
bonds.
In
this
study,
we
successfully
synthesized
three
isoreticular
two-dimensional
(2D)
COFs
choosing
diarylamino-benzene-based
tetra-amines
to
construct
[4
+
4]-type
COFs.
resultant
exhibited
excellent
oxidase-mimicking
under
light
stimulation,
which
can
catalyze
the
oxidation
tetramethylbenzydine
(TMB)
formation
O2•–
free
radicals
open-air
condition.
A
sensitive
sensor
was
designed
based
on
these
determination
glutathione
(GSH)
real
samples,
achieving
detection
limit
0.22
μM,
outperforming
standard
materials
studied
GSH
within
reticular
frameworks.
This
work
offers
possibilities
investigating
broadening
utilization
realm
biosensing.
The
rational
molecular
design
and
experimental
condition
optimizations
for
two-dimensional
covalent
organic
frameworks
(2D
COFs)
call
a
crystallization
model
capable
of
capturing
time
size
scales.
However,
accurately
describing
their
process
remains
significant
challenge
due
to
the
presence
non-classical
pathways.
Here,
we
demon-strate
implementation
machine-learning
approach,
overcoming
difficulties
associ-ated
with
bottom-up
derivation.
resulting
model,
referred
as
NEgen1,
establishes
correlations
among
induction
time,
nucleation
rate,
growth
material
parameters,
common
solution
synthesis
conditions
2D
COFs
that
belong
nucleation-elongation
category.
NEgen1
represents
emergence
practical
models
COFs,
enabling
direct
calculation
processes
in
both
times
sizes.
results
elucidate
detailed
competition
between
dynam-ics
solution,
which
has
been
inappropriately
apprehended
via
classical,
empirical
assumptions
invalid
COFs.
Importantly,
demonstrate
potential
application
optimizing
conditions,
predominantly
relied
on
knowledge
date.
identification
superior
those
routinely
used
experimentally
reveals
promising
strategy
gradually
increasing
monomer
addition
speed
growing
large
COF
crystals
while
maintaining
reasonable
time.
These
highlight
systematically
improving
crystal
quality
wider
applications.
The
rational
molecular
design
and
experimental
condition
optimizations
for
two-dimensional
co-valent
organic
frameworks
(2D
COFs)
call
a
crystallization
model
capable
of
capturing
exper-imental
time
size
scales.
However,
accurately
describing
their
process
remains
significant
challenge
due
to
the
presence
non-classical
pathways.
Here,
we
demonstrate
implementation
machine-learning
approach,
overcoming
difficulties
associated
with
bot-tom-up
derivation.
resulting
model,
referred
as
NEgen1,
establishes
correlations
among
induction
time,
nucleation
rate,
growth
material
parameters,
common
solu-tion
synthesis
conditions
2D
COFs
that
belong
nucleation-elongation
category.
NEg-en1
represents
emergence
practical
models
COFs,
enabling
direct
calculation
processes
in
both
times
sizes.
results
elu-cidate
detailed
competition
between
dynamics
solution,
which
has
been
inappropriately
apprehended
via
classical,
empirical
assumptions
invalid
COFs.
Importantly,
potential
application
NEgen1
opti-mizing
conditions,
predominantly
relied
on
knowledge
date.
identification
superior
those
routinely
used
experimentally
reveals
promis-ing
strategy
gradually
increasing
monomer
addition
speed
growing
large
COF
crystals
while
maintaining
reasonable
time.
These
highlight
systemati-cally
improving
crystal
quality
wider
applications.
This
study
presents
the
use
of
nanoscale
covalent
organic
frameworks
(nCOFs)
conjugated
with
tumor-targeting
peptides
for
targeted
therapy
triple-negative
breast
cancer
(TNBC).
While
have
previously
been
used
delivery,
their
conjugation
COFs
represents
an
innovative
approach
in
this
field.
In
particular,
we
developed
alkyne-functionalized
nCOFs
chemically
modified
cyclic
RGD
(Alkyn-nCOF-cRGD).
configuration
is
designed
to
specifically
target
α
