Journal of Agricultural and Food Chemistry,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 19, 2024
This
research
centered
on
the
novel
pyrimidinedione
herbicide,
tiafenacil.
Residues
of
tiafenacil
and
its
three
photolysis
products
(PP1
to
PP3)
in
water
were
analyzed
using
advanced
QuEChERS
UPLC-QTOF-MS/MS
techniques,
reaching
a
low
limit
quantitation
(LOQ)
10
μg/L.
Calibration
curves
exhibited
high
degree
linearity
(R2
≥
0.993)
over
concentration
range
0.01
1.00
mg/L.
Method
validation
demonstrated
precision,
with
intraday
relative
standard
deviation
RSDr
≤7.9%
interday
RSDR
≤
6.1%,
along
accuracy
(recoveries
from
94.4%
105.0%).
Using
density
functional
theory
(DFT)
at
B3LYP/6-311g
(d)
level,
we
calculated
electronic
properties
PPs
PP3).
Additionally,
frontier
molecular
orbital
(FMO)
fukui
function
analyses
conducted
explore
HOMO–LUMO
energies,
determine
energy
band
gaps
for
these
substances,
predict
reactive
sites
their
electrophilic,
nucleophilic,
radical
reactions.
Significantly,
ecotoxicity
assessment,
including
ECOSAR
predictions
acute
toxicity
tests,
revealed
that
higher
aquatic
organisms
than
Field
experiments
showed
half-life
18.9
days
water,
fitting
first-order
kinetic
model
=
0.999),
degradation
41.5%
after
14
approximately
89.2%
60
days.
study
significantly
advances
our
understanding
tiafenacil's
environmental
fate,
evaluates
associated
risks,
offers
valuable
insights
responsible
application.
Toxicology Mechanisms and Methods,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 17
Published: Sept. 3, 2024
Emerging
endocrine-disrupting
chemicals
(EDCs)
are
a
diverse
group
of
toxic
substances
that
disrupt
the
endocrine
system.
These
can
only
be
approved
after
obtaining
concrete
evidence
their
toxicity.
New
approach
methodologies
(NAMs)
offer
information
tailored
to
intended
application
while
reducing
use
animals.
NAMs
aim
develop
quantitative
structure-activity
relationship
(QSAR)
and
quantitive-Read-Across
(q-RASAR)
models
predict
categorize
acute
toxicity
known
unknown
EDCs.
The
q-RASAR
model
was
constructed
verified
using
validation
metrics
(R2
=
0.886
Q2
0.814).
substructure
fingerprint
well-fitted
for
classification
validated
10-fold
average
accuracy
(Q
86.88%),
specificity
(Sp
88.89%),
Matthew's
correlation
curve
(MCC
0.621)
receiver
operating
characteristics
(ROC
0.828).
dataset
revealed
phenolphthalein
(Php)
exhibited
significant
level
docking
simulation
study
results
indicated
computationally
derived
important
features
successfully
bound
target
zebrafish
sex
hormone
binding
globulin
(zfSHBG).
experimental
LC50
value
0.790
mg
L−1
very
close
predicted
0.763
L−1,
which
provides
high
confidence
developed
model.
Journal of Agricultural and Food Chemistry,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 19, 2024
This
research
centered
on
the
novel
pyrimidinedione
herbicide,
tiafenacil.
Residues
of
tiafenacil
and
its
three
photolysis
products
(PP1
to
PP3)
in
water
were
analyzed
using
advanced
QuEChERS
UPLC-QTOF-MS/MS
techniques,
reaching
a
low
limit
quantitation
(LOQ)
10
μg/L.
Calibration
curves
exhibited
high
degree
linearity
(R2
≥
0.993)
over
concentration
range
0.01
1.00
mg/L.
Method
validation
demonstrated
precision,
with
intraday
relative
standard
deviation
RSDr
≤7.9%
interday
RSDR
≤
6.1%,
along
accuracy
(recoveries
from
94.4%
105.0%).
Using
density
functional
theory
(DFT)
at
B3LYP/6-311g
(d)
level,
we
calculated
electronic
properties
PPs
PP3).
Additionally,
frontier
molecular
orbital
(FMO)
fukui
function
analyses
conducted
explore
HOMO–LUMO
energies,
determine
energy
band
gaps
for
these
substances,
predict
reactive
sites
their
electrophilic,
nucleophilic,
radical
reactions.
Significantly,
ecotoxicity
assessment,
including
ECOSAR
predictions
acute
toxicity
tests,
revealed
that
higher
aquatic
organisms
than
Field
experiments
showed
half-life
18.9
days
water,
fitting
first-order
kinetic
model
=
0.999),
degradation
41.5%
after
14
approximately
89.2%
60
days.
study
significantly
advances
our
understanding
tiafenacil's
environmental
fate,
evaluates
associated
risks,
offers
valuable
insights
responsible
application.