Defluorination of water solutions and glass industry wastewater using a magnetic pineapple hydrochar nanocomposite modified with a covalent organic framework
Journal of Environmental Management,
Journal Year:
2025,
Volume and Issue:
377, P. 124651 - 124651
Published: Feb. 20, 2025
Language: Английский
Comparative Analysis of Facile and Novel Graphite Recovery Methods from Spent Lithium-Ion Batteries: Environmental and Economic Implications
ACS Sustainable Chemistry & Engineering,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 17, 2025
Recycling
graphite
from
spent
Li-ion
batteries
(LiBs)
is
critical
due
to
its
role
in
battery
manufacturing
and
increasing
global
demand.
This
study
evaluated
three
recovery
processes:
(1)
a
cold
process,
based
on
mechanical
separation;
(2)
hot
using
CaO-assisted
annealing;
(3)
wet
employing
acid
leaching
dissolve
copper.
The
processes
were
optimized
for
efficiency,
characterized
via
SEM-EDS,
XRF,
XRD,
CHN,
Raman
spectroscopy,
assessed
environmental
economic
performance
by
life
cycle
approaches.
Chemical
analyses
revealed
that
the
process
produced
highest-purity
(81%
carbon)
with
minimal
impurities,
making
it
suitable
advanced
applications.
yielded
74%
carbon
lowest
interlayer
spacing
(0.354
nm)
annealing.
While
yielding
lower-purity
graphite,
demonstrated
superior
(single
score
impact
(SSI)
of
−432
μPt)
cost
savings
$40/kg
energy
inputs
copper
recovery.
In
contrast,
incurred
significant
costs
($420/kg)
degradation
(SSI
695
μPt),
balancing
impacts
317
μPt,
$159/kg).
ideal
high-quality
applications,
while
general
uses.
strikes
best
balance,
highly
versatile
option.
Language: Английский
From data to durability: Evaluating conventional and optimized machine learning techniques for battery health assessment
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
23, P. 102445 - 102445
Published: June 18, 2024
In
the
electronic
era,
demand
for
efficient
storage
systems
has
rapidly
increased,
making
health
and
durability
of
batteries
crucial.
This
research
investigates
performance
distinct
Machine
Learning
(ML)
techniques—namely,
Logistic
Regression
(LR),
Convolutional
Neural
Network
(CNN),
CNN
tuning
using
Particle
Swarm
Optimization
(PSO)—for
Battery
Health
Analysis
(BHA).
The
dataset
comprises
various
parameters
related
to
battery
health,
with
Remaining
Useful
Time
(RUL)
as
target
variable.
proposed
work
is
evaluated
Root
Mean
Squared
Error
(RMSE),
Absolute
(MAE),
R-squared
(R2)
scores.
Initially,
basic
LR
Model
employed
BHA,
followed
by
capture
complex
data
patterns.
Subsequently,
Model's
optimized
PSO
algorithm,
aiming
improved
performance.
Experimental
results
demonstrate
that
significantly
outperforms
approach
in
terms
accuracy,
lower
RMSE
MAE,
higher
R2
conventional
model
outperformed
approach,
resulting
a
20.11,
MAE
15.26,
score
0.996;
whereas,
PSO-Optimized-CNN
further
enhanced
metrics
14.97,
8.03
0.998.
Henceforth,
PSO-optimized
exhibits
compared
standalone
Model.
findings
offer
valuable
insights
into
ML
approaches
BHA
suggest
methods
optimizing
management
applications,
including
renewable
energy
systems,
electric
vehicles,
portable
electronics.
Language: Английский
Enhancing the cycle life of recycled graphite materials from spent lithium-ion batteries via conductive polymer coating
Qiusu Miao,
No information about this author
Xiuyu Jin,
No information about this author
Tianyu Zhu
No information about this author
et al.
Journal of Power Sources,
Journal Year:
2024,
Volume and Issue:
629, P. 235864 - 235864
Published: Dec. 6, 2024
Language: Английский
Preparation of Microelectrolysis Filler Using Coal Slag for the Removal of Hazardous Substances in Contaminated Water
Langmuir,
Journal Year:
2024,
Volume and Issue:
40(43), P. 23041 - 23050
Published: Oct. 19, 2024
Presently,
the
utilization
of
gasification
slag
in
context
wastewater
treatment
is
constrained.
Furthermore,
presence
dye
and
containing
hazardous
metals
represents
a
significant
threat
to
human
health.
Accordingly,
present
study
prepared
microelectrolytic
filler
(MF)
from
via
high-temperature
roasting
method
evaluated
its
degradation
performance
water
organic
matter
harmful
metal
ions.
The
impact
varying
preparation
conditions,
including
initial
solution
pH
MF
dose,
on
process
was
examined.
removal
methyl
blue
found
be
92.21%
at
an
2,
reaction
time
300
min
dosage
40
g
L
Language: Английский
Taguchi method optimisation for synthesising a novel Fe 3 O 4 @Sodium alginate-g-copolymer for enhanced methylene blue adsorption: optimisation, kinetics, and isotherm analyses
International Journal of Environmental & Analytical Chemistry,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 28
Published: Dec. 11, 2024
This
research
paper
includes
a
novel
hydrogel
as
an
adsorbent
prepared
via
free
radical
polymerisation
of
sodium
alginate-grafting-poly
(N-isopropylacrylamide-co-hydroxy
ethyl
acrylamide-co-2-Acrylamido-2-methylpropane
sulphonic
acid)
(HGs).
Employing
the
Taguchi
method,
optimal
concentrations
monomers,
alginate,
initiator,
and
crosslinking
agent
were
determined
to
achieve
maximum
swelling
ratio
for
incorporation
Fe2+
Fe3+
ions
produce
Fe3O4/HGS
magnetic
nanocomposites
(MGHs)
shown
in
Scheme
1.
HGS
MGHs
characterised
using
various
techniques,
including
infrared
absorption
spectrum
(FTIR),
field
emission
scanning
electron
microscope
(FESEM),
atomic
force
(AFM),
transmission
(TEM),
X-ray
diffraction
(XRD),
thermogravimetric
analysis
(TGA),
Brunauer–Emmett–Teller
(BET),
Vibrating‑Sample
Magnetometer
(VSM).
The
study
compared
behaviours
at
different
pH
values
both
adsorbents.
point
zero
charge
PZC
was
studied
understand
adsorption
behaviour,
which
equal
5.44
adsorbent.
Adsorption
kinetics
exhibited
pseudo-second-order
behaviour
after
determining
adsorbent's
effective
weight,
is
0.002
g,
equilibrium
time,
60
min.
isotherm
showed
good
agreement
with
Langmuir
Dubinin–Radushkevich
models.
Thermodynamic
parameters
calculated
temperatures
(5–35
°C),
indicating
physisorption.
While
removal
percent
Mb
dye
95%
Qe
=
474.7
mg/g,
conditions
Response
Surface
Methodology
(RSM)
analysed
through
Analysis
Variance
(ANOVA).
Results
demonstrated
that
increases
increasing
temperature,
confirming
endothermic
nature
process.
also
investigated
Reusability,
high
efficiency
five
cycles.
Language: Английский