Petroleum and Chemical Industry International,
Journal Year:
2023,
Volume and Issue:
6(4)
Published: Aug. 2, 2023
In
this
study,
the
biochemical
behavior
and
stability
of
gold
nanoparticles
with
intrinsic
peroxidase-like
activity
were
evaluated
as
potential
native
enzyme
alternatives.
The
synthesized
at
physiological
temperature
using
bovine
serum
albumin
stabilizer
then
characterized
by
TEM
imaging
method.
Afterward,
their
was
checked
upon
irreversible
oxidation
3,3’-diaminobenzidine
to
produce
a
brown-colored
indamine
polymer,
specific
enzyme-like
as-prepared
also
calculated.
results
showed
high
0.4212
UI
µM-1
for
nanoparticles.
Thereafter,
performances
considering
reliable
index.
maximal
pH=5.0
20.0±1.0
℃
according
pH
thermal
studies,
in
order.
Besides,
saved
above
80.0%
over
pH=3.0-4.0.
As
significant
advantage
compared
natural
enzymes,
as-synthesized
revealed
pHindependent
wide
range
pH=7.0-10.0
along
temperature-independent
t=23-28℃.
salt
studies
that
not
affected
variations
ionic
strength
reaction
media.
kinetics
Vmax
83.3
µM
min-1
Km
very
low
0.005
M
Considering
results,
can
be
considered
stable
nanozymes
excellent
catalytic
efficiency.
Advances in Colloid and Interface Science,
Journal Year:
2024,
Volume and Issue:
333, P. 103281 - 103281
Published: Aug. 24, 2024
Growing
concerns
about
environmental
pollution
have
highlighted
the
need
for
efficient
and
sustainable
methods
to
remove
dye
contamination
from
various
ecosystems.
In
this
context,
computational
such
as
molecular
dynamics
(MD),
Monte
Carlo
(MC)
simulations,
quantum
mechanics
(QM)
calculations,
machine
learning
(ML)
are
powerful
tools
used
study
predict
adsorption
processes
of
dyes
on
adsorbents.
These
provide
detailed
insights
into
interactions
mechanisms
involved,
which
can
be
crucial
designing
systems.
MD
detailing
arrangements,
dyes'
behaviour
interaction
energies
with
They
simulate
entire
process,
including
surface
diffusion,
solvent
layer
penetration,
physisorption.
QM
especially
density
functional
theory
(DFT),
determine
structures
reactivity
descriptors,
aiding
in
understanding
mechanisms.
identify
stable
configurations
like
hydrogen
bonding
electrostatic
forces.
MC
simulations
equilibrium
properties
by
sampling
configurations.
ML
proven
highly
effective
predicting
optimizing
processes.
models
offer
significant
advantages
over
traditional
methods,
higher
accuracy
ability
handle
complex
datasets.
optimize
conditions,
clarify
adsorbent
functionalization
roles,
removal
efficiency
under
conditions.
This
research
explores
MD,
MC,
QM,
approaches
connect
macroscopic
phenomena.
Probing
these
techniques
provides
energetics
pollutants
surfaces.
The
findings
will
aid
developing
new
materials
removal.
review
has
implications
remediation,
offering
a
comprehensive
at
scales.
Merging
microscopic
data
observations
enhances
knowledge
pollutant
adsorption,
laying
groundwork
efficient,
technologies.
Addressing
growing
challenges
ecosystem
protection,
contributes
cleaner,
more
future.
•
Enviro
concern
drives
eco-friendly
Computation
unveils
Study
bridges
dynamics,
Carlo,
mechanics.
Insights
inform
novel
adsorbents
Integration
shapes
greener
solutions.
Carbon Neutralization,
Journal Year:
2024,
Volume and Issue:
3(1), P. 142 - 168
Published: Jan. 1, 2024
Abstract
The
conversion
of
CO
2
into
chemical
fuels,
which
can
be
stored
and
utilized
through
photocatalysis,
represents
an
effective,
environmentally
friendly,
sustainable
means
to
address
both
environmental
concerns
energy
shortages.
,
as
a
stable
oxidation
product,
poses
challenges
for
reduction
light
alone,
necessitating
the
use
catalysts.
Thus,
crucial
aspect
photocatalytic
technology
lies
in
development
effective
photocatalysts.
Based
on
basic
principle
PCRR
(photocatalytic
reaction),
review
provides
detailed
introduction
core
issues
process,
including
relationship
between
band
gap
catalyst
performance,
utilization
photogenerated
carriers,
product
selectivity,
methods
analysis.
Then,
recent
research
progresses
various
photocatalysts
are
reviewed
form
examples
combined
with
above
principles.
Finally,
this
summarizes
insights
techniques
enhancing
activity
while
also
offering
future
prospects
field.
