Advances in environmental engineering and green technologies book series,
Год журнала:
2025,
Номер
unknown, С. 65 - 82
Опубликована: Янв. 16, 2025
One
industry
that
has
benefitted
largely
from
the
integration
of
Artificial
Intelligence
(AI)
and
machine
learning
(ML)
in
its
processes
is
recycling,
providing
significant
advancements
waste
management
towards
sustainability
environmental
conservation.
This
chapter
highlights
application
AI
ML
various
streams
(plastic,
electronic
food,
paper,
textile,
metal
etc.
wastage).
These
systems
use
AI-powered
image
recognition
sorting
to
better
separate
materials,
helping
increasing
efficiency
chemical
recycling
technologies;
meanwhile
algorithms
enable
cleaner
for
handling
chemicals
material
recovery.
Increased
precision
removal
valuable
components
via
automated
disassembly
predictive
analytics.
Using
helped
increase
operational
efficiency,
resources
recovery
but
also
shown
clear
contributions
environment
overall
ensure
sustainable
future
ahead.
Materials Horizons,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
The
growing
plastic
pollution
crisis
demands
novel
approaches,
with
innovative
materials
that
mimic
robotic
behaviors
emerging
as
a
promising
solution.
Chemosensors,
Год журнала:
2025,
Номер
13(4), С. 143 - 143
Опубликована: Апрель 14, 2025
Microplastics
(MPs)
and
nanoplastics
(NPs),
which
are
widespread
in
many
habitats
as
the
byproducts
of
various
industrial
processes,
pose
considerable
environmental
health
hazards.
However,
current,
conventional
methods
for
detecting
characterizing
them
considerably
lacking
throughput,
sensitivity,
reliability,
field
deployability.
In
current
report,
we
review
state
art
biosensor-based
MP/NP
detection,
particular,
describing
advances
optical
electrochemical
approaches,
along
with
development
novel
biorecognition
elements
application
bioinformatics
tools.