Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: April 15, 2024
Abstract
This
study
explores
the
potential
of
photocatalytic
degradation
using
novel
NML-BiFeO
3
(noble
metal-incorporated
bismuth
ferrite)
compounds
for
eliminating
malachite
green
(MG)
dye
from
wastewater.
The
effectiveness
various
Gaussian
process
regression
(GPR)
models
in
predicting
MG
is
investigated.
Four
GPR
(Matern,
Exponential,
Squared
and
Rational
Quadratic)
were
employed
to
analyze
a
dataset
1200
observations
encompassing
experimental
conditions.
have
considered
ten
input
variables,
including
catalyst
properties,
solution
characteristics,
operational
parameters.
Exponential
kernel-based
model
achieved
best
performance,
with
near-perfect
R
2
value
1.0,
indicating
exceptional
accuracy
degradation.
Sensitivity
analysis
revealed
time
as
most
critical
factor
influencing
degradation,
followed
by
pore
volume,
loading,
light
intensity,
type,
pH,
anion
surface
area,
humic
acid
concentration.
highlights
complex
interplay
between
these
factors
process.
reliability
was
confirmed
outlier
detection
William’s
plot,
demonstrating
minimal
number
outliers
(66–71
data
points
depending
on
model).
indicates
robustness
utilized
development.
suggests
that
composites
hold
promise
wastewater
treatment
models,
particularly
Matern-GPR,
offer
powerful
tool
Identifying
fundamental
properties
can
expedite
application
,
leading
optimized
processes.
Overall,
this
provides
valuable
insights
into
machine
learning
efficient
removal
Materials,
Journal Year:
2024,
Volume and Issue:
17(4), P. 873 - 873
Published: Feb. 14, 2024
In
this
study,
methoxypolyethylene
glycol
acrylate
(mPEGA)
served
as
a
PEGylated
monomer
and
was
grafted
onto
polyvinylidene
fluoride
(PVDF)
through
homogeneous
solution
gamma
irradiation.
The
grafting
process
confirmed
using
several
techniques,
including
infrared
spectroscopy
(FTIR),
thermodynamic
stability
assessments,
rotational
viscosity
measurements.
degree
of
(DG)
determined
via
the
gravimetric
method.
By
varying
concentration,
range
DGs
achieved
in
PVDF-g-mPEGA
copolymers.
Investigations
into
water
contact
angles
scanning
electron
microscopy
(SEM)
images
indicated
direct
correlation
between
increased
hydrophilicity,
membrane
porosity,
higher
DG
levels
membrane.
Filtration
tests
demonstrated
that
enhanced
resulted
more
permeable
membranes,
eliminating
need
for
pore-forming
agents.
Antifouling
revealed
membranes
with
lower
maintained
high
flux
recovery
rate,
indicating
innate
properties
PVDF
could
be
largely
preserved.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: April 15, 2024
Abstract
This
study
explores
the
potential
of
photocatalytic
degradation
using
novel
NML-BiFeO
3
(noble
metal-incorporated
bismuth
ferrite)
compounds
for
eliminating
malachite
green
(MG)
dye
from
wastewater.
The
effectiveness
various
Gaussian
process
regression
(GPR)
models
in
predicting
MG
is
investigated.
Four
GPR
(Matern,
Exponential,
Squared
and
Rational
Quadratic)
were
employed
to
analyze
a
dataset
1200
observations
encompassing
experimental
conditions.
have
considered
ten
input
variables,
including
catalyst
properties,
solution
characteristics,
operational
parameters.
Exponential
kernel-based
model
achieved
best
performance,
with
near-perfect
R
2
value
1.0,
indicating
exceptional
accuracy
degradation.
Sensitivity
analysis
revealed
time
as
most
critical
factor
influencing
degradation,
followed
by
pore
volume,
loading,
light
intensity,
type,
pH,
anion
surface
area,
humic
acid
concentration.
highlights
complex
interplay
between
these
factors
process.
reliability
was
confirmed
outlier
detection
William’s
plot,
demonstrating
minimal
number
outliers
(66–71
data
points
depending
on
model).
indicates
robustness
utilized
development.
suggests
that
composites
hold
promise
wastewater
treatment
models,
particularly
Matern-GPR,
offer
powerful
tool
Identifying
fundamental
properties
can
expedite
application
,
leading
optimized
processes.
Overall,
this
provides
valuable
insights
into
machine
learning
efficient
removal
