Analytical Methods in Environmental Chemistry Journal,
Год журнала:
2023,
Номер
6(3), С. 36 - 53
Опубликована: Сен. 28, 2023
This
study
focuses
on
the
chemical
analysis
and
prediction
of
Polyethylene
Terephthalate
(PET)
toxicity,
considering
influence
particle
size
properties.
The
effect
PET
different
sizes
(1,
4,
9,
16
25
nm
coded
NP1
to
NP5)
aquatic
organisms
such
as
Terpedo
californica
(electric
ray
fish)
Danio
rerio
(zebrafish)
model
species
was
evaluated
by
virtual
techniques
machine
learning
methodology
based
Multilayer
Perceptrons
Artificial
Neural
Networks
(MLP
ANN)
Support
Vector
Machine.
NPs
built
characterized
in
silico
then
docked
acetylcholinesterase
(TcAChE)
cytochrome
P450
(Zf
CYP450)
organisms,
respectively.
results
showed
that
binding
affinities
increased
steadily
from
–
7.1
kcal
mol-1
9.9
for
NP4
experienced
a
drop
at
NP5
(–
8.9
mol-1)
TcAChE.
Zf
CYP450
also
had
similar
pattern
ranging
-5.2
-8.1
mol-1.
MLP
ANN
an
accuracy
85.9
%
77.3
%.
In
comparison,
SVM
better
toxicity
with
99.5
99.4%
inherent
properties
TcAChE
CYP450,
ACS Omega,
Год журнала:
2024,
Номер
9(17), С. 18984 - 18994
Опубликована: Апрель 18, 2024
Nano-
and
microplastic
particles
are
a
global
emerging
environmental
issue
that
might
pose
potential
threats
to
human
health.
The
present
work
exploits
artificial
intelligence
(AI)
identify
nano-
microplastics
in
water
by
monitoring
the
interaction
of
sample
with
sensitive
surface.
An
estrogen
receptor
(ER)
grafted
onto
gold
surface,
realized
on
nonexpensive
easy-to-produce
plastic
optical
fiber
(POF)
platform
order
excite
surface
plasmon
resonance
(SPR)
phenomenon,
has
been
developed
carry
out
"smart"
interface
(ER-SPR-POF
interface).
ER-SPR-POF
offers
output
data
useful
for
exploiting
machine
learning-based
approach
achieve
particle
sensors.
This
proof-of-concept
sensor
through
training
phase
carried
different
particles,
terms
materials
size.
experimental
results
have
demonstrated
proposed
combined
AI
can
be
used
kind
(polystyrene;
poly(methyl
methacrylate))
size
(20
μm;
100
nm)
an
accuracy
90.3%.
Marine Pollution Bulletin,
Год журнала:
2025,
Номер
214, С. 117815 - 117815
Опубликована: Март 17, 2025
Understanding
the
role
of
mangroves
in
microplastic
(MPs)
bioaccumulation
is
crucial
to
addressing
pollution
these
ecosystems,
particularly
restored
areas.
Here,
we
1)
evaluate
MPs
plastic-biota-sediment
accumulation
factor
(pBSAf)
fiddler
crab
Minuca
rapax
and
2)
describe
type,
colour,
polymeric
characteristics
areas
with
varying
restoration
degradation
levels
Southern
Gulf
Mexico.
We
used
regression
models
mangrove
tree
height,
basal
area,
individuals'
density
explaining
pBSAf.
The
highest
pBSAf
values
were
observed
natural
areas,
those
higher
densities
taller
trees.
more
diverse
composition
both
crabs
sediments
from
Mangrove
biota
tissue's
may
provide
insights
into
ecosystem
health
food
web
impacts
indicate
progress.
