Deleted Journal,
Год журнала:
2024,
Номер
8, С. 31 - 40
Опубликована: Дек. 13, 2024
The
investigation
of
kinetics
is
crucial
for
optimizing
the
adsorption
process,
particularly
in
multicomponent
systems
where
several
adsorbates
compete
active
sites
on
adsorbent
particle.
This
study
presents
a
novel
approach
to
improve
pseudo-first-order
and
pseudo-second-order
kinetic
models
by
integrating
competition
parameter.
parameter
quantifies
influence
adsorbate
interaction
process.
Empirical
data
binary
involving
doxycycline
(DXC)
tetracycline
(TTC)
were
used
validate
improved
models.
results
indicate
that
adjusted
effectively
depict
when
R²
values
approach
unity.
factor,
denoted
α,
degree
which
one
affects
capacity
other.
indicates
revised
offer
more
thorough
understanding
systems,
thereby
facilitating
effective
selection
adsorbents
optimization
Abstract
Adequate
wastewater
treatment
technologies
are
essential
for
addressing
toxic
dyes’
environmental
pollution
and
health
hazards.
Azo
dyes
which
contain
one
or
more
azo
bonds
widely
used
in
the
textile.
However,
they
known
to
be
carcinogenic,
mutagenic,
highly
human
health.
Traditional
treatments
methods,
such
as
coagulation,
flocculation,
biological
treatment,
often
fail
eliminate
dye
molecules
due
their
complex
structures
strong
chemical
stability.
Therefore,
there
is
a
need
advanced
solutions.
Polymer
nanocomposites
have
emerged
promising
alternative,
offering
high
surface
area,
tunable
properties,
exceptional
adsorption
capacities.
This
review
describes
recent
reports
on
synthesis,
characterization,
application
of
polymer
removal,
incorporating
key
findings
remarkable
capacity
gelatin
nanocomposite
(950.5
mg/g).
most
studies
were
synthetic
solutions
with
limited
validation
real
industrial
effluents.
paper
also
future
research
development
scalability,
cost
analysis,
biodegradability
practical
use.
aims
guide
toward
effective
adsorbent,
eco-friendly,
scalable
removal.
Polymers,
Год журнала:
2024,
Номер
16(22), С. 3138 - 3138
Опубликована: Ноя. 11, 2024
Efficient
wastewater
treatment,
particularly
the
removal
of
heavy
metal
ions,
remains
a
challenging
priority
in
environmental
remediation.
This
study
introduces
novel
sandwich-structured
nanocomposite,
RGO-CuS-PPy,
composed
reduced
graphene
oxide
(RGO),
copper
sulfide
(CuS),
and
polypyrrole
(PPy),
synthesized
via
straightforward
hydrothermal
method.
The
unique
combination
RGO,
CuS,
PPy
offers
enhanced
adsorption
capacity
for
Ni(II)
ions
due
to
RGO's
high
surface
area
CuS's
active
binding
sites,
supported
by
PPy's
structural
stability
contributions.
is
among
first
explore
this
specific
nanocomposite
architecture
removal,
achieving
an
166.67
mg/g
efficiency
94.9%
within
210
min
55
mg/L
concentration
at
pH
6
adsorbent
dose
3
mg/15
mL.
kinetic
analysis
shows
best
fitted
time-dependent
experimental
data
with
pseudo-second-order
model,
indicating
chemisorption.
Isotherm
studies
confirmed
Langmuir
model
as
fit,
yielding
monolayer
mg/g.
Thermodynamic
process
was
endothermic
(ΔH°
=
80.23
kJ/mol)
spontaneous
(ΔG°
ranging
from
-6.985
-14.399
kJ/mol).
Additionally,
reusability
tests
using
0.1
M
HCl
desorption
demonstrated
good
reusability,
emphasizing
RGO-CuS-PPy
nanocomposite's
potential
sustainable
treatment
applications.
Molecules,
Год журнала:
2024,
Номер
29(21), С. 5152 - 5152
Опубликована: Окт. 31, 2024
Efficiently
treating
wastewater,
particularly
the
elimination
of
heavy
metal
ions
from
water
systems,
continues
to
be
one
most
pressing
and
complex
challenges
in
modern
environmental
management.
In
this
work,
reduced
graphene
oxide
coupled
silver
molybdate
binary
nanocomposites
(RGO-Ag
Deleted Journal,
Год журнала:
2024,
Номер
8, С. 31 - 40
Опубликована: Дек. 13, 2024
The
investigation
of
kinetics
is
crucial
for
optimizing
the
adsorption
process,
particularly
in
multicomponent
systems
where
several
adsorbates
compete
active
sites
on
adsorbent
particle.
This
study
presents
a
novel
approach
to
improve
pseudo-first-order
and
pseudo-second-order
kinetic
models
by
integrating
competition
parameter.
parameter
quantifies
influence
adsorbate
interaction
process.
Empirical
data
binary
involving
doxycycline
(DXC)
tetracycline
(TTC)
were
used
validate
improved
models.
results
indicate
that
adjusted
effectively
depict
when
R²
values
approach
unity.
factor,
denoted
α,
degree
which
one
affects
capacity
other.
indicates
revised
offer
more
thorough
understanding
systems,
thereby
facilitating
effective
selection
adsorbents
optimization
