Tenside Surfactants Detergents,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 8, 2025
Abstract
The
oxidation
of
amino
acids
is
interesting
due
to
the
different
molecules
generated
by
oxidants.
This
research
crucial
understand
role
in
redox
processes
and
identify
active
species
Ru(III)
diperiodatocuprate(III)
(DPC).
purpose
present
analyze
effect
cationic
surfactant
on
catalysed
l
-tyrosine
(
-Tyr)
DPC.
progression
reaction
was
evaluated
using
pseudo-first-order
scenario
as
a
metric
for
[OH
−
],
[DPC],
ionic
strength,
[
-Tyr],
[Ru(III)],
[IO
4
[surfactant],
temperature.
Over
range
concentrations
studied,
observed
exhibits
kinetic
order
less
than
one
with
respect
both
]
negative
fractional
first-order
dependence
[Ru(III)]
[DPC].
constancy
rate
electrolyte
addition
suggests
zero
salt
effect.
markedly
increased
solution
acting
catalyst
at
ppm
concentration.
micellar
media
cetylpyridinium
chloride
(CPC)
significantly
accelerates
desired
reaction,
achieving
fourfold
increase.
compatibility
CPC
-Tyr
DPC
particularly
noteworthy.
Tenside Surfactants Detergents,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Sept. 25, 2024
Abstract
Critical
micellar
concentration
(CMC)
is
a
key
physicochemical
property
of
surfactants
used
to
study
their
behaviour.
This
affected
by
factors
such
as
temperature,
pressure,
pH,
the
type
organic
solvent/water
mixture,
chemical
structure
and
presence
electrolytes.
Most
existing
studies
in
literature
have
predicted
CMC
under
fixed
conditions
based
on
parameters
surfactant.
In
this
study,
machine
learning
approach
using
artificial
neural
network
(ANN)
models
was
estimate
some
ionic
surfactants.
These
considered
variables
defining
both
solvent-water
mixture
(
T
,
molecular
weight,
molar
fraction
log
P
)
surfactant
(number
atoms
each
element).
A
database
consisting
total
258
values
for
10
collected
from
literature.
The
ANN
architecture
an
input
layer
with
12
neurons,
intermediate
25
neurons
one
neuron
output
proposed.
According
results,
normalized
provided
best
statistical
adjustments
prediction.
could
be
promising
method
estimation.
