The European Zoological Journal,
Journal Year:
2024,
Volume and Issue:
91(1), P. 440 - 456
Published: Jan. 2, 2024
The
round
goby
(Neogobius
melanostomus)
is
an
invasive
species
that
can
be
used
as
a
raw
material
in
the
food
industry
and
also
bioindicator
of
heavy
metal
pollution
environment.
In
this
study,
Cd,
Co,
Cr,
Mo,
Ni,
Pb
were
determined
water,
bottom
sediment,
muscle,
liver,
gills,
gonads
from
Dąbie
Lake,
Szczecin
Lagoon,
Puck
Bay
(all
southern
Baltic
Sea)
using
atomic
absorption
spectrometry.
Fulton's
condition
factor,
gonadal
hepatosomatic
indices
(GSI,
HSI)
calculated.
Based
on
estimated
daily
intake
(EDI),
target
hazard
quotient
(THQ),
carcinogenic
risk
(CR),
we
assessed
human
health
related
to
consumption
metals
goby.
fish
had
length
weight
ranges
15.0–16.7
cm
55.3–80.9
g,
respectively.
factor
ranged
1.26
2.48
was
highest
(p
<
0.05)
for
Lake.
range
concentrations
(in
μg
kg−1)
2.92
(Cd
muscles
Lagoon)
106.4
(Ni
Lake).
found
livers,
Ni
gonads,
Cr
gills.
calculated
EDIs
below
reference
oral
dose
(RfD)
maximum
Cd
(1.6%
RfD)
(15.1%
RfD).
less
than
1.
conclusion,
has
higher
potential
accumulate
water
sediments.
Consumption
its
muscle
should
not
pose
(cancer
considered
acceptable).
Due
accumulation,
moderate
recommended
pregnant
women
children.
Finally,
our
results
indicate
(especially
liver)
monitor
contamination
aquatic
ecosystems.
Geochemical Transactions,
Journal Year:
2024,
Volume and Issue:
25(1)
Published: Jan. 11, 2024
Abstract
Bardawil
Lake
is
a
unique
aquatic
ecosystem
that
provides
habitat
for
various
fish
and
other
marine
organisms.
This
study
aimed
to
analyze
the
quality
of
species
prove
this
lake
free
pollution,
not
Egyptian
lakes,
due
accumulation
some
heavy
metals
(Cd,
Pb,
Cu,
Zn)
in
tissues
were
caught
from
lake.
Thirty-five
samples
during
Spring
2018
seven
different
species:
Mugil
cephalus,
Liza
auratus,
Sparus
aurata,
Dicentrarchus
labrax,
Siganus
rivulatus,
Anguilla
angilla,
Solae
solea
.
The
Association
Official
Analytical
Chemists
methods
using
spectrophotometer
determined
biochemical
composition.
In
contrast,
atomic
absorption
spectrometry
(AAS)
was
employed
determine
expressed
by
µg/g
wet
weight.
Results
exposed
essential
micronutrient
(Cu,
content
higher
than
toxic
elements
(Cd
&
Pb)
muscles
order
Zn
>
Cu
Pb
Cd.
Muscles
<
gills
liver
all
except
with
gills.
studied
lower
those
set
WHO
EU
standards.
carcinogenic
risk
allowable
limits
1
×
10
–6
–4
both
normal
high
consumption
groups;
target
total
hazard
quotients
(THQ
HI)
1.
composition
level
highest
liver,
protein,
which
muscle
species.
There
no
evidence
harmful
contaminants
muscular
tissue
sampled
Lake,
although
fishing
activity.
However,
customers
should
know
health
concerns
may
be
associated
overeating
fish.
CyTA - Journal of Food,
Journal Year:
2025,
Volume and Issue:
23(1)
Published: Jan. 2, 2025
Non-essential
heavy
metals
(HMs)
are
one
of
the
most
toxic
substances
released
into
environment,
affecting
food
chain
and
posing
a
threat
to
security.
The
research
data
was
collated
after
carefully
observing
some
studies
conducted
on
commonly
consumed
products
highlighting
metal
exposure
pathways
crops
techniques
adapted
quantification
HMs
in
chain.
tools
developed
estimate
ecological
health
risks
induced
via
ingestion
HM-contaminated
both
children
adults
India
discussed.
It
is
observed
that
Cd,
Cr,
Cu,
Pb,
Zn
studied
products.
Bioaccumulation
indices
Indian
revealed
varying
intake.
Children
suffer
more
from
consuming
contaminated
with
than
adults.
This
review
summarizes
distribution
HMs,
their
pollution,
correlation
between
each
HM
concentration.
Fishes,
Journal Year:
2023,
Volume and Issue:
8(3), P. 169 - 169
Published: March 21, 2023
In
intensive
aquaculture,
the
real-time
detection
and
monitoring
of
common
infectious
disease
is
an
important
basis
for
scientific
fish
epidemic
prevention
strategies
that
can
effectively
reduce
mortality
economic
loss.
However,
low-quality
underwater
images
low-identification
targets
present
great
challenges
to
diseased
detection.
To
overcome
these
challenges,
this
paper
proposes
a
model,
using
improved
YOLOV5
network
aquaculture
(DFYOLO).
The
specific
implementation
methods
are
as
follows:
(1)
C3
structure
used
instead
CSPNet
model
facilitate
industrial
deployment
algorithm;
(2)
all
3
×
convolutional
kernels
in
backbone
replaced
by
kernel
group
consisting
parallel
3,
1
kernels;
(3)
block
attention
module
added
algorithm.
Experimental
results
fishing
ground
showed
DFYOLO
better
than
original
network,
average
precision
was
from
94.52%
99.38%
(when
intersection
over
union
0.5),
increase
4.86%.
Therefore,
detect
applicable
aquaculture.
