Journal of the American Chemical Society,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 4, 2025
Understanding
the
effect
of
internal
atoms
in
metal
nanoparticles
on
heterogeneous
catalytic
processes
is
crucial
for
achieving
high
activity
and
selectivity.
This
requires
meticulous
synthetic
control
over
size,
composition,
atomic
arrangement
nanoparticles.
Here,
we
report
design
ligand-exchange-induced
structure
transformation
nanomolecule-templated
atomic-level
galvanic
exchange
strategies
to
synthesize
PtAg24(IPBT)18
(denoted
as
PtAg24)
AuAg24(IPBT)18
AuAg24)
nanoclusters
(NCs).
Both
NCs
exhibit
identical
total
atom
ligand
(IPBT:
2-isopropylbenzenethiolate)
counts,
well
structure,
except
difference
core
(Pt
Au).
Using
these
model
NCs,
uncover
impact
heterocore
electrochemical
CO2
reduction
reaction
(eCO2RR)
The
central
Pt
PtAg24
less
favorable
eCO2RR
activity,
with
an
approximately
4
times
smaller
than
that
Au
AuAg24.
product
CO
selectivity
<30%
PtAg24,
while
it
exceeds
70%
AuAg24,
revealing
critical
role
surface
pathways.
Furthermore,
AuAg24
exhibits
a
partial
current
density
-202.2
mA
cm-2,
stability
24
h,
retaining
90%
membrane
electrode
assembly
configuration.
Operando
spectroscopy
functional
theory
calculations
suggest
weaker
adsorption
*CO
intermediates
energy
barrier
facilitate
production
compared
providing
valuable
atomistic
insights
into
mechanism.
findings
this
work
will
inspire
more
atomically
precise
nanocatalysts
explore
their
remarkable
features
renewable
conversion
storage.
Journal of the American Chemical Society,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 8, 2025
Atomically
precise
metal
nanoclusters
(NCs)
have
emerged
as
an
intriguing
class
of
model
catalysts
for
electrochemical
CO2
reduction
reactions
(CO2RR).
However,
the
interplay
between
interface
environment
(e.g.,
potential,
cation
concentration)
and
electron–proton
transfer
(ET/PT)
kinetics─particularly
in
alkynyl-protected
NCs─remains
poorly
understood.
Here,
we
combined
first-principles
simulations
experiments
to
investigate
role
potential
effect
on
CO2RR
performance
a
prototype
all-alkynyl-protected
Ag15(C≡C–CH3)+
cluster.
Our
revealed
that
applied
triggers
elimination
alkynyl
ligand
via
sequentially
breaking
two
π-type
Ag–C
bonds
one
σ-type
bond
expose
catalytically
active
Ag
sites,
barrier
breakage
monotonically
decreases
with
lowering
potential.
Furthermore,
show
introducing
inner-sphere
Na+
ions
greatly
enhances
*CO2
activation
promotes
proton
generate
*COOH
*CO
by
forming
Na+–CO2(*COOH)
complexes,
while
competitive
hydrogen
evolution
reaction
(HER)
from
water
dissociation
is
suppressed,
thus
dramatically
improving
selectivity
electroreduction.
The
measurements
further
validated
our
predictions,
where
CO
Faradaic
efficiency
(FECO)
current
density
(jCO)
pronounced
dependence
concentration.
At
optimal
concentration
0.1
M
NaCl,
FECO
can
reach
up
∼96%,
demonstrating
crucial
cations
promoting
CO2RR.
findings
provide
vital
insights
into
atomic-level
mechanism
Ag15
NCs
highlight
important
electrolyte
governing
electron/proton
kinetics.
Catalysts,
Год журнала:
2025,
Номер
15(3), С. 199 - 199
Опубликована: Фев. 20, 2025
The
electroreduction
of
CO2
(CO2RR)
is
a
promising
and
environmentally
sustainable
approach
to
closing
the
carbon
cycle.
However,
achieving
high
activity
selectivity
for
multicarbon
(C2₊)
products
remains
significant
challenge
due
complexity
reaction
pathways.
In
this
study,
porous
carbon-supported
copper
catalysts
(CuHCS)
with
pore
sizes
120
nm
(CuHCS120)
500
(CuHCS500)
were
synthesized
tailor
microenvironment
at
electrode–electrolyte
interface
enhance
product
selectivity.
CuHCS120
achieved
maximum
faradaic
efficiency
(FE)
C2₊
46%,
double
that
CuHCS500
(23%).
contrast,
showed
higher
FE
CO
(36%)
compared
(14%)
same
potential.
In-depth
ex
situ
in
investigations
revealed
smaller
pores
promote
enrichment
adsorption
*CO
intermediates,
thereby
enhancing
C–C
coupling
formation
products.
These
findings
underscore
critical
role
structural
confinement
modulating
catalytic
provide
valuable
insights
rational
design
advanced
CO2RR.
Nature Communications,
Год журнала:
2025,
Номер
16(1)
Опубликована: Янв. 11, 2025
Abstract
Photoluminescence
is
one
of
the
most
intriguing
properties
metal
nanoclusters
derived
from
their
molecular-like
electronic
structure,
however,
achieving
high
photoluminescence
quantum
yield
(PLQY)
core-dictated
fluorescence
remains
a
formidable
challenge.
Here,
we
report
efficient
suppression
total
structural
vibrations
and
rotations,
management
pathways
rates
electron
transfer
dynamics
to
boost
near-unity
absolute
PLQY,
by
decorating
progressive
addition
cations.
Specifically,
with
sequential
Zn
2+
,
Ag
+
Tb
3+
into
3-mercaptopropionic
acids
capped
Au
(NCs),
low-frequency
vibration
core
progressively
decreases
144.0,
55.2
40.0
cm
−1
coupling
strength
electrons-high-frequency
related
surface
motifs
gradually
diminishes
40.2,
30.5
14.4
meV.
Moreover,
introducing
cation
additives
significantly
reduces
time
40,
27
12
ps
in
pathway
staple
core.
This
benefits
shrinkage
structure
that
speeds
up
shell-core
transition,
particular,
provides
hopping
platform
for
excited
electrons
as
intrinsic
ladder-like
energy
level
structure.
As
result,
it
allows
remarkable
enhancement
51.2%,
83.4%,
99.5%.
Abstract
Using
thiolate‐protected
Au
25
(SR)
18
nanocluster
(NC)
with
different
charge
states
as
the
test
candidate,
how
effect
affects
etching
dynamics
of
thiolate
ligands
in
acid
and
electrocatalytic
performance
is
explored.
The
ab
initio
molecular
(AIMD)
simulations
revealed
charge‐dependent
reaction
kinetics
acid,
where
anionic
neutral
(SCH
3
)
q
(q
=
−1,
0)
favorably
react
partially
remove
via
two‐step
proton
attack,
while
cationic
+
NC
acid‐resistant
no
tendency
for
‐SR
removal.
Density
functional
theory
(DFT)
calculations
further
predict
that
dethiolated
sites
exhibit
enhanced
catalytic
activity
CO
2
electroreduction
to
CO,
−
showing
significantly
superior
activity.
Acid
experiments
confirmed
partial
removal
0),
NCs
electroreduction,
particularly
exhibiting
better
than
0
.
This
work
an
interesting
state‐mediated
interface
behaviors
NCs,
which
can
be
applied
modulate
properties
other
atomically
precise
metal
nanoclusters.
Analytical Chemistry,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 23, 2025
Nanozymes
are
attracting
widespread
attention
as
effective
alternatives
to
overcome
the
limitations
of
natural
enzymes.
However,
their
catalytic
performance
is
unsatisfactory
due
low
activity
and
specificity.
In
this
work,
an
efficient
metal-organic
framework
(MOF)
nanozyme
mimicking
active
centers
enzymes
has
been
developed
its
catalysis
mechanism
thoroughly
investigated.
The
partial
histidine-
arginine-doped
Fe-MOF
(HA
Fe-MOF)
demonstrated
activate
structure
reconstruction
with
abundant
oxygen
vacancy
generation,
which
promotes
binding
capacity
HA
Fe-MOF.
Fe
sites
in
act
for
decomposition
H2O2.
Intriguingly,
histidine
arginine
can
form
hydrogen
bonds
H2O2
observed
enzymes,
constituting
a
unique
microenvironment
that
increases
local
concentration
Benefiting
from
establishment
such
enzyme-mimicking
centers,
exhibits
high
peroxidase-like
specificity
activity.
addition,
holds
great
potential
detecting
uranyl
ions
limit
detection
0.012
μM,
surpassing
most
reported
nanozymes.
This
work
achieves
rational
design
highly
specific
nanozymes
by
structure-selectivity
relationship
peroxidases,
provides
new
insights
into
advanced
configurations.
Metal
nanoclusters
(NCs),
owing
to
their
atomic
precision
and
unique
molecule-like
properties,
have
gained
widespread
attention
for
applications
ranging
from
catalysis
bioimaging.
In
recent
years,
proteins,
with
hierarchical
structures
diverse
functionalities,
emerged
as
good
candidates
functionalizing
metal
NCs,
rendering
NC–protein
conjugates
combined
even
synergistically
enhanced
properties
featured
by
both
components.
this
Perspective,
we
explore
key
questions
regarding
why
proteins
serve
complementary
partners
the
methodologies
available
conjugating
characterization
techniques
necessary
elucidate
interactions
within
emerging
bionano
system.
We
also
highlight
of
in
biomedicine,
catalysis,
biosensing
which
hybrid
demonstrate
remarkable
performance.
Furthermore,
challenges
hampering
further
development
conjugates,
include
understanding
binding
mechanisms,
expanding
diversity
used
conjugation,
exploiting
individual
roles
NCs
systems,
are
discussed.
This
Perspective
aims
systemize
current
synthetic
design
principles
adding
acceptance
nanotechnology.
Advanced Functional Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 25, 2025
Abstract
Atomically
precise
copper(I)
nanoclusters
with
stable
active
sites
are
highly
sought‐after
catalysts
for
the
electrocatalytic
CO₂
reduction
reaction
(CO₂RR),
providing
an
exceptional
platform
to
elucidate
structure–activity
relationships.
However,
rational
synthesis
of
robust
copper
as
effective
electrocatalysts
and
understanding
relationship
between
a
more
realistic
site
its
performance
remain
significant
challenge
due
their
inherent
instability.
Here,
novel
dipropyne‐modified
NHC
ligand
is
elaborately
devised
two
atomically
nanoclusters,
[Cu
17
H
6
(NHC
)
4
(dppm)
]
3+
(
Cu17a
Ph
Cu17b
),
both
exhibiting
distinct
unique
square
orthobicupola
Cu
core
J
28
,
Johnson
solid).
The
σ‐
π‐bonding
ligands
imparts
ultrahigh
stability
while
coordination
pattern
μ
7
‐
η
σ
1
:
π
2
facilitates
exposure
neighboring
atoms,
generating
accessible
catalytic
sites.
Electrocatalytic
CO
experiments
show
that
achieves
highest
Faradaic
efficiency
ethylene
production
among
reported
nanoclusters.
tandem
mechanism
RR
elucidated
through
combination
theoretical
calculations
attenuated
total
reflection‐surface‐enhanced
IR
absorption
spectroscopy
(ATR‐SEIRAS).
This
work
not
only
introduces
synthesizing
but
also
offers
critical
insights
into
molecular
design
principles
catalysts.
Atomically
precise
metal
nanoclusters
(MNCs)
represent
a
fascinating
class
of
ultrasmall
nanoparticles
with
molecule-like
properties,
bridging
conventional
metal-ligand
complexes
and
nanocrystals.
Despite
their
potential
for
various
applications,
synthesis
challenges
such
as
understanding
varied
synthetic
parameters
property-driven
persist,
hindering
full
exploitation
wider
application.
Incorporating
smart
methodologies,
including
closed-loop
framework
automation,
data
interpretation,
feedback
from
AI,
offers
promising
solutions
to
address
these
challenges.
In
this
perspective,
we
summarize
the
that
has
been
demonstrated
in
nanomaterials
explore
research
frontiers
MNCs.
Moreover,
perspectives
on
inherent
opportunities
MNCs
are
discussed,
aiming
provide
insights
directions
future
advancements
emerging
field
AI
Science,
while
integration
deep
learning
algorithms
stands
substantially
enrich
by
offering
enhanced
predictive
capabilities,
optimization
strategies,
control
mechanisms,
thereby
extending
MNC
synthesis.