Toxics,
Journal Year:
2023,
Volume and Issue:
11(8), P. 658 - 658
Published: Aug. 1, 2023
The
improper
disposal
of
toxic
and
carcinogenic
organic
substances
resulting
from
the
manufacture
dyes,
drugs
pesticides
can
contaminate
aquatic
environments
potable
water
resources
cause
serious
damage
to
animal
human
health
ecosystem.
In
this
sense,
heterogeneous
photocatalysis
stand
out
as
one
effective
cost-effective
depollution
technique.
use
metal
oxide
nanocomposites
(MON),
mixture
two
or
more
oxides
between
these
other
functional
semiconductor
materials,
have
gained
increasing
attention
researchers
industrial
developers
a
potential
alternative
produce
efficient
environmentally
friendly
photocatalysts
for
remediation
contamination
by
compounds.
Thus,
work
presents
an
updated
review
main
advances
in
nanocomposites-based
decontamination
polluted
substances.
A
bibliometric
analysis
allowed
show
evolution
importance
research
topic
literature
over
last
decade.
results
study
also
showed
that
hierarchical
nanostructures
oxides,
well
conducting
polymers
carbon
currently
materials
synthesis
MON,
with
better
performance
degradation
pharmaceuticals
pesticides.
Environmental Technology & Innovation,
Journal Year:
2023,
Volume and Issue:
32, P. 103277 - 103277
Published: July 13, 2023
Innovation
in
digitalization
and
low-carbon
technologies
are
leading
the
way
for
production
sector.
In
context
of
bioeconomy,
a
path
is
opening
up
integration
bio-based
processes
into
value
chain
as
alternative
schemes
to
fossil
fuel-based
models,
although
process
modeling
optimization
needed
this
approach
at
an
early
stage
design
development.
The
large
number
variables
biorefinery
cascade
scheme
presents
inherent
difficulty
strategy,
considering
conditions
that
allow
higher
productivity
revenues
parallel
with
lower
environmental
burdens.
implementation
artificial
intelligence
(AI)
through
techniques
such
machine
learning
predictive
could
be
considered
efficient
tool
optimization.
Such
require
amounts
historical
data
identify
effects,
synergies
clusters
parameters;
detect
anomalies;
develop
models
predictive,
prescriptive
or
root
cause
analysis;
provide
autonomous
control.
sense,
critical
review
report
aims
overview
available
reports
have
AI
evaluation
identifying
its
potentialities
enable
better
strategies
under
principles
sustainability
circular
economy.
This
useful
development
further
research
on
processes.
work
forefront
innovations
meet
efficiency
criteria
order
information
interest
policy
makers,
stakeholders
industry
professionals.
Environments,
Journal Year:
2023,
Volume and Issue:
10(7), P. 127 - 127
Published: July 19, 2023
This
study
offers
a
review
of
machine
learning
(ML)
applications
in
membrane
bioreactor
(MBR)
systems,
an
emerging
technology
advanced
wastewater
treatment.
The
focuses
on
implementing
ML
algorithms
to
enhance
the
prediction
fouling,
control
and
optimize
system,
predict
faults
early,
thereby
enabling
development
novel
cleaning
strategies.
Key
such
as
artificial
neural
networks
(ANNs),
support
vector
machines
(SVMs),
random
forest,
reinforcement
(RL)
are
briefly
introduced,
with
emphasis
their
potential
limitations
applications.
main
challenges
obstructing
implementation,
namely
data
quality,
interpretability,
transferability
ML,
identified.
Finally,
future
research
trends
proposed,
including
integration
big
data,
Internet
Things
(IoT),
hybrid
model
development.
also
underscores
need
for
interdisciplinary
collaboration
investment
management,
along
implementation
new
policies
addressing
privacy
security.
By
these
challenges,
into
MBRs
has
significantly
performance
reduce
energy
footprint,
providing
sustainable
solution
Bioresource Technology,
Journal Year:
2023,
Volume and Issue:
385, P. 129432 - 129432
Published: June 30, 2023
This
study
describes
the
valorization
of
avocado
seed
(AS)
within
a
green
biorefinery
concept
using
microwave-assisted
autohydrolysis.
After
treatment
at
temperatures
150-230
°C
for
5
min,
resulting
solid
and
liquor
were
characterized.
The
temperature
220
led
to
simultaneous
optimal
values
antioxidant
phenolics/flavonoids
(42.15
mg
GAE/g
AS,
31.89
RE/g
respectively)
glucose
+
glucooligosaccharides
(38.82
g/L)
in
liquor.
Extraction
with
ethyl
acetate
allowed
recovery
bioactive
compounds
while
maintaining
polysaccharides
extract
was
rich
vanillin
(99.02
mg/g
AS)
contained
several
phenolic
acids
flavonoids.
phase
phenolic-free
subjected
enzymatic
hydrolysis
produce
glucose,
reaching
9.93
105
g
glucose/L,
respectively.
work
demonstrates
that
autohydrolysis
is
promising
technology
obtain
fermentable
sugars
from
seeds
following
scheme.
Water,
Journal Year:
2023,
Volume and Issue:
15(10), P. 1845 - 1845
Published: May 12, 2023
Under
pressure
from
existing
and
emerging
contaminants,
lotic
ecosystems
are
becoming
increasingly
susceptible
to
ecological
deterioration.
Therefore,
investigations
of
the
impacts
persistent
organic
pollutants
(POPs)
heavy
metals
on
riverine
fish
health,
water
quality,
biotic
integrity
critical.
We
examined
effects
52
POPs
health
land
use,
based
monitoring
assemblages
river
quality
2007
2014.
Among
chemical
species,
35
were
present
in
tissues,
including
eight
metals.
The
concentrations
these
12
species
presented.
Most
either
undetected
or
at
negligible
levels
although
a
few
polycyclic
aromatic
hydrocarbons
(PAHs)
organochlorine
pesticides
(OCPs;
dichlorodiphenyltrichloroethanes
heptachlor
epoxide)
detected
above
screening
values
(SVs).
Hg,
As,
Cd
most
samples
their
SVs.
investigated
trophic
guild,
metal
contents
order
Zn
<
Cr
Cu
Pb
Se,
while
insectivorous
omnivorous
carnivorous.
Agricultural
cover
showed
an
association
with
endosulfan
II
(R2
=
0.50,
r
0.70),
followed
by
alachlor
0.43,
0.66).
For
PAHs,
all
substances
significant
relationships
forest
cover.
Ecological
assessment
revealed
that
sites
poor
condition,
indicating
direct
pollutants.
In
conclusion,
28
detected,
16
PAHs
3
OCPs
(hexachlorobenzene,
lindane,
concern,
such
action
is
needed
curb
inflow
environment.
studied
basin
under
substantial
threat
harmful
endanger
biodiversity.
Bioresource Technology,
Journal Year:
2022,
Volume and Issue:
370, P. 128518 - 128518
Published: Dec. 21, 2022
Recent
advances
in
machine
learning
(ML)
have
revolutionized
an
extensive
range
of
research
and
industry
fields
by
successfully
addressing
intricate
problems
that
cannot
be
resolved
with
conventional
approaches.
However,
low
interpretability
incompatibility
make
it
challenging
to
apply
ML
complicated
bioprocesses,
which
rely
on
the
delicate
metabolic
interplay
among
living
cells.
This
overview
attempts
delineate
applications
bioprocess
from
different
perspectives,
their
inherent
limitations
(i.e.,
uncertainties
prediction)
were
then
discussed
unique
supplement
models.
A
clear
classification
can
made
depending
purpose
(supervised
vs
unsupervised)
per
application,
as
well
system
boundaries
(engineered
natural).
Although
a
limited
number
hybrid
approaches
meaningful
outcomes
(e.g.,
improved
accuracy)
are
available,
there
is
still
need
further
enhance
interpretability,
compatibility,
user-friendliness
