Zinc oxide@citric acid-modified graphitic carbon nitride nanocomposites for adsorption and photocatalytic degradation of perfluorooctanoic acid
Advanced Composites and Hybrid Materials,
Journal Year:
2024,
Volume and Issue:
7(2)
Published: March 8, 2024
Abstract
Perfluorooctanoic
acid
(PFOA)
is
a
highly
persistent
organic
pollutant
of
global
concern.
A
novel
nanocomposite
composed
ZnO
nanoparticles
and
citric
acid-modified
g-C
3
N
4
was
synthesized
by
ball
milling
process.
The
more
efficient
than
pure
ball-milled
for
PFOA
elimination
under
visible
light
irradiation.
optimal
hybrid
photocatalyst,
produced
the
addition
5
wt%
,
demonstrated
significantly
better
performance
removal
UV
irradiation,
with
apparent
rate
constants
0.468
h
−1
0.097
respectively.
peroxymonosulfate
(0.53
g
L
)
increased
removal,
clarifying
crucial
effect
sulfate
radicals
on
photodegradation.
In
comparison,
not
effective
even
peroxymonosulfate.
Further
experiments
dark
conditions
identified
surface
adsorption
photocatalyst
as
key
process
in
total
removal.
summary,
ZnO@citric
graphitic
carbon
nitride
nanocomposites
due
to
combined
action
from
photodegradation,
dominating
mechanism.
Language: Английский
Photocatalytic Degradation of Pharmaceutical Residues from Water and Sewage Effluent Using Different TiO2 Nanomaterials
Nanomaterials,
Journal Year:
2024,
Volume and Issue:
14(2), P. 135 - 135
Published: Jan. 6, 2024
Pharmaceuticals
are
widely
used
and
often
discharged
without
metabolism
into
the
aquatic
systems.
The
photocatalytic
degradation
of
pharmaceutical
compounds
propranolol,
mebeverine,
carbamazepine
was
studied
using
different
titanium
dioxide
nanostructures
suspended
in
water
under
UV
UV-visible
irradiation.
Among
three
photocatalysts,
most
effective
by
Degussa
P25
TiO
Language: Английский
Immobilization of TiO2 and ZnO by facile surface engineering methods to improve semiconductor performance in photocatalytic wastewater treatment: A review
Materials Science in Semiconductor Processing,
Journal Year:
2024,
Volume and Issue:
179, P. 108518 - 108518
Published: May 15, 2024
Photocatalysis
is
widely
researched
in
water
and
wastewater
treatment
processes
owing
to
its
unique
capacity
the
potential
mineralization
of
organic
pollutants.
Suspended
nanoparticles
provide
high
specific
surface
area,
but
their
practical
application
has
been
very
limited
due
drawbacks
such
as
catalyst
agglomeration
during
difficulty
reuse
after
treatment.
It
therefore
paramount
importance
immobilize
catalysts
realize
continuous
photocatalysis
operations
towards
commercial
scale,
engineering
provides
an
ideal
strategy
overcome
problems
associated
with
using
suspended
nanoparticles.
Of
different
semiconductors
used
for
photocatalytic
degradation
pollutants,
TiO2
considered
a
benchmark
photocatalyst
ZnO
alternative.
Hence,
scope
this
research
review
several
methods
including
physical
vapor
deposition,
dip
coating,
spin
spray
electrophoretic
deposition
immobilization
ZnO.
Overall,
promising
successful
photocatalysts,
sintering
particularly
recommended
improve
adhesion
strength
as-deposited
films,
expediting
applications
through
deposition.
Language: Английский
Application of machine learning models to improve the prediction of pesticide photodegradation in water by ZnO-based photocatalysts
Chemosphere,
Journal Year:
2024,
Volume and Issue:
362, P. 142792 - 142792
Published: July 5, 2024
Pesticide
pollution
has
been
posing
a
significant
risk
to
human
and
ecosystems,
photocatalysis
is
widely
applied
for
the
degradation
of
pesticides.
Machine
learning
(ML)
emerges
as
powerful
method
modeling
complex
water
treatment
processes.
For
first
time,
this
study
developed
novel
ML
models
that
improved
estimation
photocatalytic
various
pesticides
using
ZnO-based
photocatalysts.
The
input
parameters
encompassed
source
light,
mass
proportion
dopants
Zn,
initial
pesticide
concentration
(C0),
pH
solution,
catalyst
dosage
irradiation
time.
Additionally,
physicochemical
properties
such
molecular
weight
pesticides,
well
solubility
both
were
considered.
Notably,
numerical
data
extracted
from
literature
via
relevant
tables
(directly)
or
graphs
(indirectly)
web-based
tool
WebPlotDigitizer.
Four
including
multi-layer
perceptron
artificial
neural
network
(MLP-ANN),
particle
swarm
optimization-adaptive
neuro
fuzzy
inference
system
(PSO-ANFIS),
radial
basis
function
(RBF),
coupled
simulated
annealing-least
squares
support
vector
machine
(CSA-LSSVM)
developed.
In
comparison,
RBF
showed
best
accuracy
among
all
models,
with
highest
determination
coefficient
(R2)
0.978
average
absolute
relative
deviation
(AARD)
4.80%.
model
was
effective
in
estimating
except
2-chlorophenol,
triclopyr
lambda-cyhalothrin,
where
CSA-LSSVM
demonstrated
superior
performance.
Dichlorvos
completely
degraded
by
ZnO
photocatalyst
under
visible
light.
sensitivity
analysis
relevancy
factor
exhibited
light
time
most
important
influencing
positively
negatively,
respectively.
new
provide
predicting
wastewater
treatment,
which
will
reduce
photochemical
experiments
promote
sustainable
development.
Language: Английский
Photoelectrocatalytic Degradation of Ofloxacin by ZnO-rGO:N Composite Material: Kinetics, Mechanism, and Degradation Pathways
Materials Research Bulletin,
Journal Year:
2025,
Volume and Issue:
unknown, P. 113324 - 113324
Published: Jan. 1, 2025
Language: Английский
Exploring Solar Energy Solutions for Per‐ and Polyfluoroalkyl Substances Degradation: Advancements and Future Directions in Photocatalytic Processes
Solar RRL,
Journal Year:
2024,
Volume and Issue:
8(9)
Published: March 14, 2024
Concerns
about
per‐
and
polyfluoroalkyl
substances
(PFAS)
pollution
are
escalating
globally
due
to
the
discovery
of
their
widespread
environmental
distribution,
accompanied
by
migration,
bioaccumulation,
toxic
potential
for
plants,
animals,
humans.
Several
technologies
have
been
developed
remediation
since
standard
water
treatment
methods
often
fail.
However,
these
approaches
require
large
energy
consumption
and,
at
times,
exacerbate
issues.
In
this
context,
photocatalytic
degradation
holds
promise
as
a
reliable
technological
solution
PFAS
mineralization.
date,
it
primarily
relies
on
perfluorooctanoic
acid
using
high‐energy
gap
semiconductor
oxides
that
necessitate
high‐power
artificial
ultraviolet
sources
excitation
use
strong
chemical
oxidants.
This
review
examines
chemical‐free
catalysts
mechanisms
recently
documented
in
literature
outline
roadmap
realization
solar‐driven
mineralization
all
compounds.
To
end,
conventional
wide‐bandgap
delved
into
strategies
extend
spectral
absorbance
while
enhancing
charge
separation
with
focus
proposed
pathways
explored,
fundamental
designing
technologically
relevant
photodegradation
systems.
Language: Английский
Preparation of Ti4O7/h‐BN self‐supported ceramic photoelectrode and its photoelectrocatalytic performance for water purification
Shanshan Li,
No information about this author
Yanan Gong,
No information about this author
Md Azharul Hossain
No information about this author
et al.
Asia-Pacific Journal of Chemical Engineering,
Journal Year:
2024,
Volume and Issue:
19(4)
Published: April 2, 2024
Abstract
The
construction
of
high‐efficiency
self‐supported
ceramic
photoelectrode
based
on
ideal
semiconductor
materials
is
essential
for
achieving
effective
degradation
pollutants
by
photoelectrocatalysis
(PEC)
technology.
Herein,
a
Ti
4
O
7
/h‐BN
composite
with
unique
microstructure
was
fabricated
step‐by‐step
calcination
process
and
used
in
PEC
water
pollution
remediation.
activity
could
be
enhanced
introducing
hexagonal
boron
nitride
(h‐BN)
nanoparticles
the
surface.
most
optimized
exhibited
decolorization
rate
active
brilliant
blue
KN‐R
at
about
97.79%
30
min.
activities
remain
stable
during
five
cycles.
excellent
photoelectrocatalytic
performance
attributed
to
low
Tafel
slope,
charge
transfer
resistance,
large
electrochemical
area,
photo‐generated
carrier
separation
efficiency.
A
type‐II
heterojunction
formed
between
h‐BN,
which
caused
more
generation
dominant
species
•O
2−
h
+
.
This
work
provided
mature
synthesis
strategy
photoelectrodes
practical
application
prospects
achieve
superior
purification.
Language: Английский