Triphenylamine-Naphthalimide-Based “On–Off–On” AIEgen for Imaging Golgi Apparatus and Endoplasmic Reticulum
Prashant Kumar,
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Tripti Mishra,
No information about this author
Sanyam Sanyam
No information about this author
et al.
ACS Applied Bio Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 21, 2025
Golgi
apparatus
(GA)
and
endoplasmic
reticulum
(ER)
are
two
of
the
interesting
subcellular
organelles
that
critical
for
protein
synthesis,
folding,
processing,
post-translational
modifications,
secretion.
Consequently,
dysregulation
in
GA
ER
cross-talk
between
them
implicated
numerous
diseases
including
cancer.
As
a
result,
simultaneous
visualization
cancer
cells
is
extremely
crucial
developing
therapeutics.
To
address
this,
herein,
we
have
designed
synthesized
1,8-napthalimide-based
small
molecule
(AIE-GA-ER)
consisting
phenylsulfonamide
as
Golgi-ER
homing
triphenylamine-napthalimide
aggregation-induced
emission
(AIE)
triggering
moieties.
AIE-GA-ER
exhibited
remarkable
"on-off-on"
AIE
properties
THF/water
binary
solvent
system
due
to
aggregated
"on-state"
pure
THF
80%
water
THF.
Molecular
dynamic
simulations
density
functional
theory
(DFT)
calculations
underlying
mechanism
emissive
property
be
interplay
intramolecular
charge
transfer
(ICT)
stabilization
aggregation
THF,
DMSO,
water.
efficiently
homed
into
HCT-116
colon
within
15-30
min
well
noncancerous
human
retinal
epithelial
pigment
(RPE-1)
3
h
with
minimum
toxicity.
This
AIEgen
has
potential
illuminate
simultaneously
understand
chemical
biology
their
next-generation
Language: Английский
The Role of Theoretical Calculations for INVEST Systems: Complementarity Between Theory and Experiments and Rationalization of the Results
Advanced Optical Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 5, 2025
Abstract
Here,
the
key
role
played
by
theoretical
calculations
for
molecules
presenting
an
inverted
singlet‐triplet
excited
state
(e.g.
S
1
and
T
)
energy
difference,
or
Δ
E
ST
<
0,
whose
interest
has
steadily
raised
in
recent
years
fostered
experimental
advances
showing
negative
values
a
collection
of
real‐world
systems
is
reviewed.
The
evolution
computational
efforts
from
pioneering
on
reduced
set
prototypical
covered,
to
high‐throughput
virtual
screenings
thousands
identify
new
molecular
scaffolds
tune
properties
other
than
excitation
energies,
describe
necessary
benchmarking
methods
done
parallel
along
years.
Overall,
complementarity
prompted
discovery
more
displaying
0
values,
basic
design
principles
are
rationalized
thus
reviewed
here
too,
while
allowing
at
same
time
find
which
offer
reasonable
trade‐off
between
accuracy
cost.
Language: Английский
Enhancing the prediction of TADF emitter properties using Δ-machine learning: A hybrid semi-empirical and deep tensor neural network approach
R. Nikhitha,
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Anirban Mondal
No information about this author
The Journal of Chemical Physics,
Journal Year:
2025,
Volume and Issue:
162(14)
Published: April 8, 2025
This
study
presents
a
machine
learning
(ML)-augmented
framework
for
accurately
predicting
excited-state
properties
critical
to
thermally
activated
delayed
fluorescence
(TADF)
emitters.
By
integrating
the
computational
efficiency
of
semi-empirical
PPP+CIS
theory
with
Δ-ML
approach,
model
overcomes
inherent
limitations
in
key
properties,
including
singlet
(S1)
and
triplet
(T1)
energies,
singlet–triplet
gaps
(ΔEST),
oscillator
strength
(f).
The
demonstrated
exceptional
accuracy
across
datasets
varying
sizes
diverse
molecular
features,
notably
excelling
ΔEST
values,
negative
regions
relevant
TADF
molecules
inverted
S1–T1
gaps.
work
highlights
synergy
between
physics-inspired
models
accelerating
design
efficient
emitters,
providing
foundation
future
studies
on
complex
systems
advanced
functional
materials.
Language: Английский
Recent Progress in Molecular Design of Boron/Nitrogen‐Based Multi‐Resonance Materials for Narrowband Organic Light‐Emitting Diodes
Advanced Optical Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 11, 2025
Abstract
Luminescent
boron‐nitrogen
(BN)‐type
multi‐resonance
(MR)
materials
have
been
first
reported
by
Hatakeyama
and
co‐workers
in
2016.
BN‐type
MR
attracted
a
lot
of
attention,
because
their
unique
photophysical
properties,
including
narrowband
emissions,
high
photoluminescent
quantum
yields,
thermally
activated
delayed
fluorescent
(TADF)
properties.
MR‐TADF
are
considered
as
the
next‐generation
luminescent
for
efficient,
stable,
narrow‐emission
organic
light‐emitting
diodes
(OLEDs).
Herein,
comprehensive
review
recent
progress
is
provided
highlighting
structures,
device
performances.
Moreover,
future
perspective
development
will
be
discussed.
Language: Английский
Addressing the High-Throughput Screening Challenges of Inverted Singlet–Triplet Materials by MRSF-TDDFT
Journal of Chemical Theory and Computation,
Journal Year:
2025,
Volume and Issue:
unknown
Published: May 20, 2025
A
new
computational
protocol
utilizing
mixed-reference
spin-flip
time-dependent
density
functional
theory
(MRSF-TDDFT)
and
the
DTCAM-STG
exchange-correlation
has
been
developed
to
identify
materials
with
inverted
singlet-triplet
(INVEST)
energy
levels.
This
surpasses
existing
quantum
chemical
methods
in
both
accuracy
efficiency
for
predicting
ΔEST,
addressing
challenges
high-throughput
screening
INVEST
materials.
Based
on
this
approach,
novel
heptazine
derivatives
have
proposed,
which
are
anticipated
outperform
currently
known
systems.
Additionally,
dynamic
spin
polarization
(DSP)
identified
as
a
critical
factor
influencing
phenomena.
insight
provides
foundation
design
principles,
enabling
discovery
of
superior
performance
compared
alternatives.
Language: Английский