Green Chemistry,
Journal Year:
2024,
Volume and Issue:
26(15), P. 8642 - 8668
Published: Jan. 1, 2024
Within
a
circular
approach,
cost-effective,
tailored
and
robust
biomass-derived
catalysts
to
convert
biomass
play
key
role
in
biorefinery
developments.
Polymers,
Journal Year:
2025,
Volume and Issue:
17(3), P. 307 - 307
Published: Jan. 23, 2025
The
buildup
of
abandoned
plastics
in
the
environment
and
need
to
optimize
agricultural
waste
utilization
have
garnered
scrutiny
from
environmental
organizations
policymakers
globally.
This
study
presents
an
assessment
thermal
decomposition
date
seeds
(DS),
polypropylene
homopolymer
(PP),
their
composites
(DS/PP)
through
experimental
measurements,
machine
learning
convolutional
deep
neural
networks
(CDNN),
kinetic
thermodynamic
analyses.
measurements
involved
pyrolysis
co-pyrolysis
these
materials
a
nitrogen-filled
thermogravimetric
analyzer
(TGA),
investigating
degradation
temperatures
between
25
600
°C
with
heating
rates
10,
20,
40
°C.min−1.
These
revealed
two-stage
process
for
bio-composites
decrease
stability
pure
PP
due
moisture,
hemicellulose,
cellulose
content
DS
material.
By
utilizing
CDNN,
algorithms
frameworks
were
developed,
providing
responses
that
closely
matched
(R2~0.942)
data.
After
various
modelling
modifications,
adjustments,
regularization
techniques,
framework
comprising
four
hidden
neurons
was
determined
be
most
effective.
Furthermore,
analysis
temperature
influential
parameter
affecting
process.
Kinetic
analyses
performed
using
Coats–Redfern
general
Arrhenius
model-fitting
methods,
as
well
Flynn–Wall–Ozawa
Kissinger–Akahira–Sunose
model-free
approaches.
first-order
reaction
mechanism
identified
appropriate
compared
second
third
order
F-Series
solid-state
mechanisms.
overall
activation
energy
values
estimated
at
51.471,
51.221,
156.080,
153.767
kJ·mol−1
respective
models.
Additionally,
compensation
effect
showed
exponential
increase
pre-exponential
factor
increasing
values,
parameters
indicated
is
endothermic,
non-spontaneous,
less
disordered.
Journal of Environmental Engineering and Science,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 23
Published: March 21, 2025
Biochar
is
a
carbon-rich
material
that
has
attracted
considerable
interest
and
generated
an
important
literature
across
various
academic
disciplines
in
the
past
decade.
Environmental
applications
of
biochar
include
climate
change
mitigation,
waste
management,
soil
fertility
improvement,
contaminant
remediation.
In
this
study,
bibliometric
analysis
was
performed
to
visualise
current
research
status
emerging
trends
field
production
application
research.
A
total
33
718
documents
related
topic
were
collected
from
Scopus
database,
covering
period
2004
December
2023.
These
publications
analysed
using
tools
provided
by
Bibliometrix
package
R
VOSviewer.
The
focused
on
publication
output,
subject
areas,
authors,
journals,
institutions,
countries.
leading
area
Science,
most
articles
are
published
Journal
Science
Pollution
Research.
China
USA
countries
contributing
number
publications,
with
producing
17
096
4255
publications.
Based
keyword
co-occurrence
analyses,
last
5
years,
searches
mainly
‘biochar
for
adsorption’,
‘Biochar
global
warming
mitigation’,
heavy
metals
immobilisation’.
Finally,
review
highlighted
several
underexplored
areas
research,
artificial
intelligence
determine
optimal
parameters
specific
scarcity
thorough
assessment
entire
life
cycle.
This
offers
essential
insights
stakeholders
researchers
extensively
studied
topics
applications,
helping
identify
have
received
less
attention.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(7), P. 3216 - 3216
Published: April 4, 2025
Pyrolysis
presents
a
promising
solution
for
the
complete
purification
and
recycling
of
waste
salt.
However,
presence
organic
pollutants
in
salts
significantly
hinders
their
practical
application,
owing
to
diverse
sources
strong
resistance
degradation.
This
study
developed
predictive
models
removal
from
salt
using
three
machine
learning
techniques:
Random
Forest
(RF),
Support
Vector
Machine,
Artificial
Neural
Network.
The
were
evaluated
based
on
total
carbon
(TOC)
rate
mass
loss
rate,
with
RF
model
demonstrating
high
accuracy,
achieving
R2
values
0.97
0.99,
respectively.
Feature
engineering
revealed
that
contribution
components
was
minimal,
rendering
them
redundant.
importance
analysis
identified
temperature
as
most
critical
factor
TOC
removal,
while
moisture
content
nitrogen
key
determinants
loss.
Partial
dependence
plots
further
elucidated
individual
interactive
effects
these
variables.
validated
both
literature
data
laboratory
experiments,
user
interface
Python
GUI
library.
provides
novel
insights
into
pyrolysis
process
establishes
foundation
optimizing
its
application.
