Case Studies in Chemical and Environmental Engineering,
Год журнала:
2024,
Номер
9, С. 100773 - 100773
Опубликована: Май 23, 2024
Palm
oil
biomass
waste
has
a
high
energy
value
and
can
be
converted
into
fuel.
However,
the
ash
content
from
burning
is
undesirable.
This
research
aims
to
analyze
porosity
values
length
of
particles
empty-fruit-bunches
samples
different
treatments.
Analysis
particle
empty
fruit
bunches
latest
in
this
research.
The
analysis
results
show
that
R-Square
with
regression
model
for
each
sample
(raw
0.88375,
flowrate
1L/sec
0.99997,
temperature
30oC
0.99996).
Meanwhile,
84.55%,
89.08%,
88.50%).
Hybrid Advances,
Год журнала:
2024,
Номер
6, С. 100193 - 100193
Опубликована: Апрель 26, 2024
Water
contamination
has
intensified
over
the
past
years
as
world's
population
and
industrial
activities
have
grown.
Heavy
metals
(HMs)
are
among
environmental
contaminants
commonly
found
in
water
wastewater.
These
include
Lead,
Manganese,
Chromium,
Mercury,
etc.
Various
techniques
been
used
to
remediate
this
challenge,
which
adsorption
proven
be
an
effective
method
because
of
its
simplicity
operation,
excellent
efficiency,
low-cost,
possibility
operation
under
various
conditions.
The
cost
preparing
using
adsorbents
is
essential
element
determining
their
appropriateness
for
use
handling
wastewater
comparison
alternatives.
Adsorbent
value
can
calculated
price
initial
supplies,
deducted
cash
flow,
metrics,
sorbent
per
gram
sorbate
eliminated.
Unfortunately,
generates
waste
materials,
providing
additional
limitation
toward
scaling
technique.
Moreover,
after
HM
extracted
laden
onto
adsorbent,
there
still
a
concern
on
fate
metal-laden
adsorbent.
Most
time
these
sorbents
released
surroundings
contribute
secondary
pollution.
New
applications
heavy
loaded
investigated.
This
review
discusses
source
types
HMs
wastewater,
removal,
factors
affecting
adsorptions
characterization
approaches
metal
adsorbents.
article
presents
that
investigated
reuse
adsorbent
possible
where
reused
circumvent
Furthermore,
paper
covered
few
bibliometric
analyses
help
find
new
research
lines,
identify
significant
authors,
institutions,
nations,
map
area's
limits
issue
employing
metal-loaded
Results in Chemistry,
Год журнала:
2024,
Номер
10, С. 101682 - 101682
Опубликована: Июль 27, 2024
The
multipurpose
properties
of
mixed
metal
oxides
have
garnered
significant
interest.
This
study's
ternary
composite
MnO2/CuO/ZrO2
(MCZ)
exhibited
promising
morphology,
conductivity
and
electrochemical
performance.
MCZ
nanocomposite
was
synthesized
via
hydrothermal
methods.
impact
electrolytes
like
Potassium
hydroxide
(KOH)
on
supercapacitor
features
investigated.
XRD
analysis
determined
the
crystalline
structure,
while
FTIR
confirmed
presence
Cu–O,
O-Mn–O
Zr–O
bonds.
SEM
revealed
uniform
aggregated
particles,
EDAX
elemental
composition.
BET
measured
pore
radius
surface
area.
With
a
1
M
KOH
electrolyte,
performance
evaluated
using
CV,
GCD,
EIS.
electrode
specific
capacitance
869.76
F/g
at
scan
rate
5
mV/s.
symmetric
device
showed
an
energy
density
213.09
Wh/kg
power
3.83
kW/kg,
maintaining
cycling
stability
after
5000
cycles.
displayed
high
ionization
in
solvent,
facilitating
efficient
ion
movement
for
charge
transfer
supercapacitors.
nanocomposite's
areal-specific
119.04
mF/cm2,
with
areal
densities
0.081
mWh/cm2
1.3885
mW/cm2,
respectively.
Increasing
area
materials
enhances
storage
capacity.
study
suggests
that
can
improve
Abstract
Thin
Layer
drying
models
provide
a
comprehensive
framework
for
understanding
processes,
estimating
times,
and
developing
generalized
curves
of
the
agricultural
products.
Most
existing
reviews
on
thin-layer
do
not
focus
specific
mechanisms.
Instead,
they
discuss
across
various
methods.
In
contrast,
this
review
specifically
focuses
application
to
products
dried
in
solar
systems.
The
presents
bibliometric
analysis
research
used
simulate
behaviour
findings
indicate
that
publication
activity
field
began
1976
has
grown
significantly,
peaking
2021.
India
leads
contributions
followed
by
China.
underscores
critical
role
factors
such
as
inlet
air
temperature
pretreatments
enhancing
process.
selection
an
optimal
model
depends
unique
properties
product,
conditions,
model's
ability
predict
moisture
removal
under
varying
environmental
accurately.
Among
models,
Midilli
et
al.
demonstrated
effectiveness
diverse
range
also
highlighted
artificial
neural
networks
(ANNs)
improving
prediction
behavior
It
outlined
future
directions
ANNs
tool
field.
