Separations,
Journal Year:
2022,
Volume and Issue:
9(6), P. 139 - 139
Published: May 30, 2022
The
study
provides
a
review
of
various
applications
biomass-derived
biochars,
waste-derived
and
modified
biochars
as
adsorbent
materials
for
removing
dyestuff
from
process
effluents.
Processing
significant
amounts
dye
effluent
discharges
into
receiving
waters
can
supply
major
benefits
to
countries
which
are
affected
by
the
water
crisis
anticipated
future
stress
in
many
areas
world.
When
compared
most
conventional
adsorbents,
provide
an
economically
attractive
solution.
In
comparison
other
textile
treatment
processes,
adsorption
technology
economic,
easily
managed,
highly
effective
option.
Several
tabulated
data
values
provided
that
summarize
main
characteristics
biochar
adsorbents
according
their
ability
remove
dyestuffs
wastewaters.
Water,
Journal Year:
2022,
Volume and Issue:
14(16), P. 2519 - 2519
Published: Aug. 16, 2022
This
work
describes
an
experimental
and
machine
learning
approach
for
the
prediction
of
selenite
removal
on
chemically
modified
zeolite
water
treatment.
Breakthrough
curves
were
constructed
using
iron-coated
adsorbent
adsorption
behavior
was
evaluated
as
a
function
initial
contaminant
concentration
well
ionic
strength.
An
elevated
selenium
in
threatens
human
health
aquatic
life.
The
migration
this
metalloid
from
contaminated
sites
problems
associated
with
its
high
releases
into
has
become
major
environmental
concern.
mobility
emerging
prompted
development
efficient,
cost-effective
removal.
Selenite
[Se(IV)]
aqueous
solutions
studied
laboratory-scale
continuous
packed-bed
columns
natural
adsorbents.
proposed
combines
iron
oxide
zeolite’s
ability
to
bind
contaminants.
initially
obtained
under
variable
conditions,
including
change
Se
(IV),
strength
solutions.
Investigating
effect
these
parameters
will
enhance
retardation
water.
Continuous
experiment
findings
evaluate
efficiency
economical
naturally-based
fate
Multilinear
non-linear
regressions
approaches
utilized,
yet
low
coefficients
determination
values
respectively
obtained.
Then,
comparative
analysis
five
boosted
regression
tree
algorithms
breakthrough
curve
performed.
AdaBoost,
Gradient
boosting,
XGBoost,
LightGBM,
CatBoost
models
analyzed
data
columns.
performance
different
operation
such
strength,
discussed.
applicability
metrics
(i.e.,
Mean
Absolute
Error
(MAE),
Root
Square
(RMSE),
Percentage
(MAPE),
coefficient
(R2).
model
provided
best
fit
R2
equal
99.57.
k-fold
cross-validation
technique
statistical
verify
model’s
accurateness.
A
feature
importance
assessment
indicated
that
(IV)
most
influential
variable,
while
had
least
effect.
finding
consistent
column
transport
results,
which
observed
sorption
dependency
inlet
concentration;
simultaneously,
negligible.
proposes
implementing
learning-based
predicting
remediation-associated
processes.
significance
provide
alternative
method
investigating
machine-based
approach.
also
highlighted
management
practices
processes
involved
remediation.
Separations,
Journal Year:
2022,
Volume and Issue:
9(6), P. 139 - 139
Published: May 30, 2022
The
study
provides
a
review
of
various
applications
biomass-derived
biochars,
waste-derived
and
modified
biochars
as
adsorbent
materials
for
removing
dyestuff
from
process
effluents.
Processing
significant
amounts
dye
effluent
discharges
into
receiving
waters
can
supply
major
benefits
to
countries
which
are
affected
by
the
water
crisis
anticipated
future
stress
in
many
areas
world.
When
compared
most
conventional
adsorbents,
provide
an
economically
attractive
solution.
In
comparison
other
textile
treatment
processes,
adsorption
technology
economic,
easily
managed,
highly
effective
option.
Several
tabulated
data
values
provided
that
summarize
main
characteristics
biochar
adsorbents
according
their
ability
remove
dyestuffs
wastewaters.
