Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(21), P. 9770 - 9770
Published: Oct. 25, 2024
The
Kingdom
of
Saudi
Arabia
(KSA)
has
millions
date
palm
trees
for
commercial
scale
date-fruit
production.
respective
industry
also
generates
agricultural
waste
including
tree
branches.
This
rich
bio-resource
can
be
used
several
beneficial
applications.
present
study
therefore
investigated
the
application
granular
activated
carbon
(GAC)
produced
using
branches
to
successfully
remove
phenol,
p-cresol,
and
copper
from
synthetic
wastewater.
adsorption
equilibrium
results
fitted
well
Langmuir-type
isotherm.
Furthermore,
pH-dependent
both
phenol
p-cresol
appeared
follow
an
anionic-type
behavior
(i.e.,
decreasing
with
increase
in
aqueous
phase
pH).
However,
finding
showed
a
cationic-type
behavior.
These
trends
were
explained
employing
speciation
pollutants.
In
general,
findings
work
indicate
that
high-specific-surface-area
(SSABET)
GAC
material
employed
pollution
control.
Environmental Technology & Innovation,
Journal Year:
2023,
Volume and Issue:
33, P. 103456 - 103456
Published: Dec. 4, 2023
This
study,
for
the
first
time,
reported
utilization
of
ZIF-60
adsorptive
removal
organic
pollutant
from
contaminated
water.
Characterization
techniques
were
used
to
confirm
synthesis
adsorbent
which
was
then
study
uptake
crystal
violet
(CV)
aqueous
system.
A
remarkably
high
experimental
(in
excess
7000
mg/g)
CV
onto
noted
due
careful
selection
process
parameters
while
conducting
batch
adsorption
studies.
Response
surface
methodology
technique
utilized
as
tool
response
optimization
and
studying
effect
varying
parameters.
Temperature
had
most
significant
influence
on
followed
by
concentration,
dose
pH.
Adsorption
kinetics
isotherm
investigations
conducted
based
optimized
conditions,
obtained
good
data
fitting
with
more
than
one
model
suggests
an
intricate
process.
On
other
hand,
thermodynamic
studies
revealed
a
highly
endothermic
spontaneous
The
post
analysis
π-π
stacking
interaction
dominant
force
driving
ZIF-60.
Additionally,
several
machine
learning
models
that
distinct
algorithms
prediction
An
ensemble
combination
created
using
voting
technique;
this
proved
be
accurate
in
predicting
suggested
its
superior
value
evaluation
metrics.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(7), P. 3562 - 3562
Published: March 25, 2025
The
indiscriminate
discharge
of
synthetic
dyes
into
wastewater
streams
poses
a
severe
threat
to
the
environment
as
well
human
well-being.
Among
all
these
dyes,
methyl
orange
(MO)
attracts
attention
due
its
widespread
use
and
persistence
in
industrial
effluents.
This
study
investigated
zeolitic
imidazolate
framework
bentonite
(ZIF-67@BNT)
nanocomposite
material
for
removal
MO
from
aqueous
phase.
Various
characterization
techniques
were
employed
such
FTIR,
XRD,
TGA
verify
successful
synthesis
ZIF-67@BNT
adsorbent,
which
was
subsequently
utilized
investigate
adsorption
MO.
Batch
studies
demonstrated
high
capacity
187
mg/g.
A
response
surface
methodology
(RSM)-based
modeling
exercise
used
optimize
process.
While
assessing
impact
various
operational
factors,
initial
concentration
followed
by
dose
noted
be
important.
Adsorption
kinetics
isotherm
also
completed.
after
analysis
indicated
multiple
mechanisms
facilitating
uptake.
Additionally,
machine
learning
(ML)
models
ANN,
SVR,
RF,
GPR
predict
onto
under
varying
set
conditions.
