Sustainability,
Journal Year:
2025,
Volume and Issue:
17(8), P. 3535 - 3535
Published: April 15, 2025
The
circular
bioeconomy
(CBE)
is
an
evolving
paradigm
that
promotes
sustainable
economic
development.
Artificial
intelligence
(AI)
emerges
as
important
enabler
within
this
paradigm,
offering
capabilities
could
significantly
enhance
operational
efficiencies
and
innovation.
Despite
its
recognized
potential,
the
full
value
of
Al
across
diverse
areas
CBE
remains
underexplored.
This
paper
introduces
a
novel
framework
for
assessing
harnessing
role
to
facilitate
transition
towards
CBE.
was
developed
through
interdisciplinary
literature
review
conceptual
modeling.
maps
ten
key
domains
against
eight
core
AI
functions
(such
prediction,
optimization,
discovery)
can
be
leveraged
circularity
bioeconomic
processes.
A
case
study
on
biowaste
valorization,
employing
framework-guided
methodology,
demonstrates
framework’s
utility
in
identifying
research
gaps
opportunities
using
AI.
reveals
current
emphasis
prediction
optimization
tasks,
while
highlighting
significant
underutilization
discovery
design
functions.
help
guide
researchers,
policymakers,
industry
stakeholders
deploying
AI-driven
solutions
support
more
bioeconomy.
Heliyon,
Journal Year:
2025,
Volume and Issue:
11(3), P. e41822 - e41822
Published: Jan. 21, 2025
Carrots
are
among
the
most
crucial
and
globally
preferred
vegetables,
widely
recognized
for
their
importance
as
a
source
of
phytonutrients,
including
phenolic
compounds,
carotenoids,
polyacetylenes,
ascorbic
acid.
However,
its
production
phase
incurs
substantial
losses,
estimated
at
30
%;
these
discarded
carrots
typically
find
application
in
animal
feed,
composting
material
or
organic
waste.
Therefore,
this
study
aims
to
develop
methodological
framework
focusing
on
phytochemical
bioprospecting
process
based
scientific
surveillance;
using
carrot
crop
by-products
foundational
example.
Advanced
methodologies,
such
bibliometric,
scientometric,
patent
analyses,
supported
by
technological
tools
VOSviewer
Patent
Inspiration,
were
employed.
This
involved
creation
landscapes,
trend
maps
co-occurrence
networks,
intending
explore
potential
by-products,
applicability
generating
new
knowledge,
utilization
industry.
approach
facilitated
identification
emerging
trends
research,
providing
comprehensive
view
commercial
industrial
areas
interest,
with
focus
circular
economic
principles.
Furthermore,
emphasized
bioprospecting,
methodologies
tools,
key
factor
research
uses
which
could
extend
other
matrices.
Frontiers in Chemistry,
Journal Year:
2025,
Volume and Issue:
13
Published: Feb. 28, 2025
In
this
order
of
ideas,
Bariş
&
Kötekoğlu
(2024)
have
developed
an
organogelator,
which
is
a
molecule
that,
when
dissolving
in
organic
solvent,
forms
gel.
It
can
be
used
small
quantities
and
applications
cosmetics,
optics,
other
fields
(Zeng
et
al.,
2021).
The
compound
research
was
1(N1,N2-bis(2S,3S)-1-((4-(tert-butyl)benzyl)amino)-3-methyl-1-oxopentan-2yl)oxalamide),
are
biocompatible
with
high
penetration
capacity,
useful
as
transporters
topical
bioactive
molecules
great
stability.
Also,
to
determine
the
capacity
capture
gels
obtained,
non-steroidal
anti-inflammatories
(NSAIDS)
ibuprofen
naproxen
were
used,
safer
for
muscle
pains
application,
due
gastric
intolerance
that
both
drugs
produce
(Manoukian
2017).
Ultimately,
demonstrates
novel
organogel
carrier
system
medicines
medical
use.
Thus,
organogels
oleogels
promising
formulations
delivery
compounds
from
waste
agriculture
food
industry
(Souza
Pereira
2023).In
addition,
Ullah
anticarcinogenic
(Mottaghi
Abbaszadeh
This
functionalized
62
nanostructure
synthetized
using
fruit
Celtis
tournefortii
(endemic
tree
southwestern
63
slopes
Etna
Nebrodi
mountains)
obtain
composite
activated
carbon
named
CtAC.
64Later
CtAC
employed
synthesis
IONPs@CtAC
magnetic
nanocomposite
loaded
65
morin;
it
evaluated
cytotoxicity
against
HT-29
(colorectal),
T98-G
(glioblastoma)
cancer
66
cell
lines,
human
umbilical
vein
endothelial
(HUVEC)
healthy
line.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(8), P. 3535 - 3535
Published: April 15, 2025
The
circular
bioeconomy
(CBE)
is
an
evolving
paradigm
that
promotes
sustainable
economic
development.
Artificial
intelligence
(AI)
emerges
as
important
enabler
within
this
paradigm,
offering
capabilities
could
significantly
enhance
operational
efficiencies
and
innovation.
Despite
its
recognized
potential,
the
full
value
of
Al
across
diverse
areas
CBE
remains
underexplored.
This
paper
introduces
a
novel
framework
for
assessing
harnessing
role
to
facilitate
transition
towards
CBE.
was
developed
through
interdisciplinary
literature
review
conceptual
modeling.
maps
ten
key
domains
against
eight
core
AI
functions
(such
prediction,
optimization,
discovery)
can
be
leveraged
circularity
bioeconomic
processes.
A
case
study
on
biowaste
valorization,
employing
framework-guided
methodology,
demonstrates
framework’s
utility
in
identifying
research
gaps
opportunities
using
AI.
reveals
current
emphasis
prediction
optimization
tasks,
while
highlighting
significant
underutilization
discovery
design
functions.
help
guide
researchers,
policymakers,
industry
stakeholders
deploying
AI-driven
solutions
support
more
bioeconomy.
