Photocatalytic
conversion
of
carbon
dioxide
(CO2)
to
fuel
provides
an
ideal
pathway
achieving
neutrality.
One
significant
hindrance
in
the
reduction
CO2
higher
energy
density
multicarbon
products
(C2+)
was
difficulty
coupling
C–C
bonds
efficiently.
Copper
(Cu)
is
considered
most
suitable
metal
catalyst
for
form
C2+
reaction
(CO2RR),
but
it
encounters
challenges
such
as
low
product
selectivity
and
slow
catalytic
efficiency.
Herein,
we
constructed
a
defect
on
Cu-doped
nitride
(Cu–CvN),
efficient
photocatalytic
CO2RR.
The
optimized
(Cu–CvN-550)
with
shows
high
activity
ethanol,
ethanol
production
rate
122.6
μmol
g–1
h–1
93.7%.
yield
4.5
times
than
that
Cu–CN-550
without
defect.
ratio
Cu+/Cu0
Cu
species
changes
regularly
calcination
temperature,
which
linearly
correlated
liquid
DFT
calculations
combined
experimental
results
revealed
doping
promoted
activation,
followed
by
enhanced
*CO
adsorption
weakened
hydrogenation
desorption.
Carbon
defects
lower
free
greatly
accelerate
transfer
process
promoting
formation
six-membered
ring
intermediate
state,
serving
intramolecular
dimerization.
Synergistic
thermodynamic
kinetic
interactions
were
realized
through
introduction
defects,
thereby
enhancing
performance
production.
Advanced Energy Materials,
Journal Year:
2024,
Volume and Issue:
14(39)
Published: July 29, 2024
Abstract
Electrocatalytic
CO
2
reduction
(ECR)
powered
by
renewable
electricity
is
a
promising
technology
to
mitigate
carbon
emissions
and
lessen
the
dependence
on
fossil
fuels
toward
carbon‐neutral
energy
cycle.
Metal–organic
frameworks
(MOFs)
their
derivatives,
due
excellent
intrinsic
activity,
have
emerged
as
materials
for
ECR
high‐demand
products.
However,
challenges
such
unsatisfactory
efficiency,
selectivity,
relatively
low
production
rates
hinder
industrial
scalability.
Here,
comprehensive
critical
review
presented
that
summarizes
state‐of‐the‐art
progress
in
MOF‐based
MOF‐derived
electroreduction
catalysts
from
design
functionality
perspectives.
The
fundamentals
of
reaction
(CO
RR)
over
heterogeneous
catalysts,
mechanisms,
key
faced
are
described
first
establish
solid
foundation
forthcoming
in‐depth
analyses.
MOF's
building
blocks,
properties,
shortcomings
pertinent
including
conductivity
stability,
systematically
discussed.
Moreover,
discussions
provided
design,
fabrication,
characterization,
RR
activity
pinpoint
intricate
structure‐property‐performance
relationship.
Finally,
recommendations
put
forward
enhancing
MOF
electrocatalysts
durability.
This
work
may
serve
guideline
developing
high‐performance
MOF‐related
RR,
benefiting
researchers
working
this
growing
potentially
game‐changing
area.
Chemical Society Reviews,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Jan. 1, 2024
Metal
oxides,
metal
sulfides,
MXenes,
and
metal–organic
frameworks
act
as
catalysts,
while
covalent
organic
frameworks,
carbon
nitrides,
phosphides,
graphene
oxides
serve
cocatalysts
for
CO
2
photoreduction
to
multicarbon
products.
Angewandte Chemie International Edition,
Journal Year:
2024,
Volume and Issue:
63(47)
Published: Aug. 12, 2024
Abstract
Efficient
photocatalytic
CO
2
reduction
coupled
with
the
photosynthesis
of
pure
H
O
is
a
challenging
and
significant
task.
Herein,
using
classical
photoreduction
site
iron
porphyrinate
as
linker,
Ag(I)
clusters
were
spatially
separated
evenly
distributed
within
new
metal–organic
framework
(MOF),
namely
Ag
27
TPyP‐Fe
.
With
water
electron
donors,
exhibited
remarkable
performances
in
artificial
photosynthetic
overall
reaction
yield
36.5
μmol
g
−1
h
ca
100
%
selectivity,
well
evolution
rate
35.9
Since
liquid
phase
can
be
more
readily
from
gaseous
products
photoreduction,
high‐purity
concentration
up
to
0.1
mM
was
obtained.
Confirmed
by
theoretical
calculations
established
energy
level
diagram,
reductive
iron(II)
porphyrinates
oxidative
an
integrated
functioned
synergistically
achieve
photosynthesis.
Furthermore,
photoluminescence
spectroscopy
photoelectrochemical
measurements
revealed
that
robust
connection
ligands
facilitated
efficient
charge
separation
rapid
transfer,
thereby
enhancing
activity.
Abstract
Metal‐organic
frameworks
(MOFs),
renowned
for
structural
diversity
and
design
flexibility,
exhibit
potential
in
catalysis.
However,
the
pursuit
of
higher
catalytic
activity
through
defects
often
compromises
stability,
requiring
a
delicate
balance.
Traditional
trial‐and‐error
method
optimizing
synthesis
parameters
within
complex
chemical
space
is
inefficient.
Herein,
taking
typical
MOF
UiO‐66(Ce)
as
an
illustrative
example,
closed
loop
workflow
built,
which
integrates
machine
learning
(ML)‐assissted
prediction,
multi‐objective
optimization
(MOO)
experimental
preparation
to
synergistically
optimize
defect
content
thermal
stability
efficient
hydrogenation
dicyclopentadiene
(DCPD).
An
automatic
data
extraction
program
ensures
accuracy,
establishing
high‐quality
database.
ML
employed
explore
intricate
synthesis‐structure‐property
correlations,
enabling
precise
delineation
pure‐phase
subspace
accurate
predictions
properties.
After
two
iterations,
MOO
model
identifies
optimal
protocols
high
(>40%)
(>300°C).
The
optimized
exhibits
superior
performance
DCPD,
validating
precision
reliability
our
methodology.
This
ML‐assisted
approach
offers
valuable
paradigm
solving
trade‐off
riddle
materials
field.
Advanced Materials,
Journal Year:
2024,
Volume and Issue:
36(41)
Published: Aug. 16, 2024
Abstract
Heterogeneous
single‐metal‐site
catalysts
(SMSCs),
often
referred
to
as
single‐atom
(SACs),
demonstrate
promising
catalytic
activity,
selectivity,
and
stability
across
a
wide
spectrum
of
reactions
due
their
rationally
designed
microenvironments
encompassing
coordination
geometry,
binding
ligands,
electronic
configurations.
However,
the
inherent
disorderliness
SMSCs
at
both
atomic
scale
nanoscale
poses
challenges
in
deciphering
working
principles
establishing
correlations
between
performances
SMSCs.
The
rearrangement
randomly
dispersed
single
metals
into
homogeneous
atomic‐precisely
structured
periodic
single‐metal
site
(PSMSCs)
not
only
simplifies
chaos
systems
but
also
unveils
new
opportunities
for
manipulating
performance
gaining
profound
insights
reaction
mechanisms.
Moreover,
synergistic
effects
adjacent
integration
arrangement
further
broaden
industrial
application
scope
This
perspective
offers
comprehensive
overview
recent
advancements
outlines
prospective
avenues
research
design
characterizations
PSMSCs,
while
acknowledging
formidable
encountered
prospects
that
lie
ahead.
Chemical Communications,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
MIL-101(Cr)
composited
with
Pt/Pd
nanoalloy
exposing
the
{111}
facet
can
photocatalytically
convert
CO
2
to
C
H
4
,
while
one
{100}
has
no
such
capability,
demonstrating
importance
of
facets
in
photocatalytic
reduction.