Batteries,
Journal Year:
2025,
Volume and Issue:
11(2), P. 51 - 51
Published: Jan. 28, 2025
This
strategic
review
examines
the
pivotal
role
of
sustainable
methodologies
in
battery
recycling
and
recovery
critical
minerals
from
waste
batteries,
emphasizing
need
to
address
existing
technical
environmental
challenges.
Through
a
systematic
analysis,
it
explores
application
green
organic
solvents
mineral
processing,
advocating
for
establishing
eco-friendly
techniques
aimed
at
clipping
boosting
resource
utilization.
The
escalating
demand
shortage
essential
including
copper,
cobalt,
lithium,
nickel
are
comprehensively
analyzed
forecasted
2023,
2030,
2040.
Traditional
extraction
techniques,
hydrometallurgical,
pyrometallurgical,
bio-metallurgical
processes,
efficient
but
pose
substantial
hazards
contribute
scarcity.
concept
arises
as
crucial
step
towards
ecological
conservation,
integrating
practices
lessen
footprint
extraction.
advancement
solvents,
notably
ionic
liquids
deep
eutectic
is
examined,
highlighting
their
attributes
minimal
toxicity,
biodegradability,
superior
efficacy,
thus
presenting
great
potential
transforming
sector.
emergence
such
palm
oil,
1-octanol,
Span
80
recognized,
with
advantageous
low
solubility
adaptability
varying
temperatures.
Kinetic
(mainly
temperature)
data
different
extracted
previous
studies
computed
machine
learning
techniques.
coefficient
determination
mean
squared
error
reveal
accuracy
experimental
data.
In
essence,
this
study
seeks
inspire
ongoing
efforts
navigate
impediments,
embrace
technological
advancements
artificial
intelligence,
foster
an
ethos
stewardship
metals
batteries.
ACS Sustainable Chemistry & Engineering,
Journal Year:
2024,
Volume and Issue:
12(30), P. 11260 - 11273
Published: July 16, 2024
We
present
the
application
of
an
extreme
gradient
boosting
model
(eutXG)
to
predict
melting
point
(MP)
deep
eutectic
solvents
(DES).
The
is
based
on
XGBoost,
a
decision
tree
ensemble
designed
be
highly
scalable
that
enables
superior
training
speed
and
prediction
accuracy.
selected
model─trained
with
molecular
fingerprints,
molar
ratios,
chemical
descriptors─enabled
MPs
DES
average
accuracy
97.6%,
which
represents
difference
just
±2.4%
respect
values
reported
in
literature.
Using
SHapley
Additive
exPlanations
(SHAP),
further
insights
into
relative
importance
different
inputs
used
train
machine
learning
were
identified.
Moreover,
generalization
ability
eutXG
was
critically
assessed
by
comparing
predicted
vs
experimentally
determined
MP
series
novel
halogen
bonding,
developed
mixing
tetraalkylammonium
triiodide
salts
(NPe4I3
or
NHex4I3)
organoiodines,
such
as
1,2-diiodotetrafluorobenzene
(o-F4DIB),
1,3-diiodotetrafluorobenzene
(m-F4DIB),
2,5-diiodothiophene
(2,5-DIT),
demonstrating
its
actual
only
2
K.
Our
results
not
reinforce
having
(at
least
some)
representative
data
for
step
increase
model's
predictions
but
also
demonstrate
accelerate
development
applications
this
entirely
new
class
hydrophobic
DES,
potentially
impacting
wide
range
fields
from
pharmaceuticals
agrochemicals.
This
review
explores
the
application
of
machine
learning
in
predicting
and
optimizing
key
physicochemical
properties
deep
eutectic
solvents,
including
CO2
solubility,
density,
electrical
conductivity,
heat
capacity,
melting
temperature,
surface
tension,
viscosity.
By
leveraging
learning,
researchers
aim
to
enhance
understanding
customization
a
critical
step
expanding
their
use
across
various
industrial
research
domains.
The
integration
represents
significant
advancement
tailoring
solvents
for
specific
applications,
marking
progress
toward
development
greener
more
efficient
processes.
As
continues
unlock
full
potential
it
is
expected
play
an
increasingly
pivotal
role
revolutionizing
sustainable
chemistry
driving
innovations
environmental
technology.
International Journal of Molecular Sciences,
Journal Year:
2025,
Volume and Issue:
26(3), P. 997 - 997
Published: Jan. 24, 2025
The
study
of
solid–liquid
equilibria
offers
critical
insights
into
the
molecular
interactions
between
constituents
in
binary
mixtures.
Predicting
these
often
requires
comprehensive
thermodynamic
models,
yet
simplified
approaches
can
provide
valuable
perspectives.
In
this
work,
we
explore
application
Bragg–Williams
model
to
mixtures
leading
formation
eutectic
solvents.
This
relies
on
a
single
parameter—the
molar
energy
change
upon
mixing
compounds—and
demonstrates
noteworthy
features:
parameter
be
estimated
from
few
(in
principle,
single)
experimental
melting
points,
and
it
correlates
strongly
with
interaction
parameters
more
complex
such
as
PC-SAFT
molecular-based
equation
state.
By
using
model,
straightforward
informative
framework
for
characterizing
equilibria,
enabling
while
requiring
data
points
input.
Despite
its
simplicity,
effectively
captures
essence
mixture
energetics,
positioning
practical
tool
advancing
understanding
phase
behavior
solvent
systems.
Green Chemistry,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
The
growing
interest
in
sustainable
and
efficient
metal
ion
separation
has
led
to
the
exploration
of
non-ionic
deep
eutectic
solvents
(DES),
also
known
as
Type
V
DES,
promising
alternatives...
Critical Reviews in Analytical Chemistry,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 24
Published: April 9, 2025
Volatile
organic
solvents
and
fluoride-containing
ionic
liquids
(ILs)
have
few
drawbacks
like
toxicity,
non-biodegradability,
environmental
issues.
Even
though
ILs
are
considered
as
new
safest
solvent
for
their
lower
volatility.
They
pose
toxicity
sustainability
concerns.
Deep
eutectic
(DESs)
garnered
significant
attention
substitutes
these
solvents,
addressing
aligning
with
specific
principles
of
green
chemistry,
such
reduced
biodegradability,
the
use
renewable
resources.
This
review
thoroughly
explains
emergence
inception
DESs
through
development.
It
deals
physicochemical
properties
density,
polarity,
viscosity.
The
factors
dealing
variation
in
density
viscosity
DES
been
discussed.
preparation
operation
DESs,
encompassing
various
variants
hydrophobic
hydrophilic
types
examined
to
provide
a
comprehensive
grasp
chemical
properties.
Beyond
basic
characteristics,
article
delves
into
applications
demonstrate
flexibility.
show
promising
multifarious
utility,
ranging
from
acting
extractant
critical
roles
sorbent-based
extractions,
solvent-based
role
analytical
techniques.
covers
opportunities
difficulties
associated
offering
prospective
viewpoint
on
future
advancements
difficulties.
outlines
different
facets
research,
emphasizing
level
knowledge
at
moment
potential
influence
emerging
subject
DESs.
Developing
an
effective
recycling
process
for
reclaiming
valuable
metals
from
lithium-ion
batteries
is
urgent
issue
owing
to
increasing
battery
waste
electric
vehicles.
In
this
study,
we
developed
a
leaching
method
that
enables
the
direct
separation
of
lithium
other
critical
metals,
namely,
nickel
and
cobalt,
using
two-phase
system
consists
deep
eutectic
solvent
(DES)
water.
The
DES
consisting
4,4,4-trifluoro-1-phenyl-1,3-butadione
tri-n-octylphosphine
oxide
showed
highest
performance
when
combined
with
Several
operational
parameters,
such
as
aqueous
fraction,
solid-liquid
ratio,
reaction
time,
operation
temperature,
were
evaluated.
optimum
results
in
obtained
1:1
DES-water
ratio
10
g/L
reacted
at
80
°C
24
h.
An
in-situ
stripping
phenomenon
was
observed,
revealing
transferred
phase
phase.
application
black
mass
leaching,
significantly
enhanced
Co,
Ni,
Mn
extraction
into
thus
plays
important
role
separating
metals.
efficiency
reached
99%
within
