The
study
investigates
the
potential
of
lansoprazole,
a
proton
pump
inhibitor,
to
interfere
with
fungal
respiration
and
enhance
antifungal
activity
amphotericin
B
against
multidrug-resistant
Candida
auris.
authors
administered
lansoprazole
at
concentrations
significantly
higher
than
typical
therapeutic
doses,
which
demonstrated
promising
results
but
also
raised
concerns
about
toxicity.
We
suggest
incorporating
control
group,
monitoring
toxicity
indicators,
performing
pathological
examinations,
conducting
cellular
assays
improve
study's
rigor
reliability.
highlight
need
for
further
research
into
mechanisms
lansoprazole's
activity,
its
long-term
effects
on
resistance,
drug-drug
interactions
B.
Addressing
these
is
crucial
clinical
translation
as
an
adjuvant
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.
