International Journal of Environmental & Analytical Chemistry,
Journal Year:
2023,
Volume and Issue:
unknown, P. 1 - 15
Published: Aug. 2, 2023
ABSTRACTSoil
contamination
by
antibiotics
is
a
worldwide
environmental
issue,
and
it
essential
to
develop
suspect
screening
methods
of
in
soil
for
their
comprehensive
risk
assessment.
In
this
study,
novel
metabolomics
approach
seeking
‘marker
compounds’
on
behalf
36
the
forest
topsoil
was
developed
based
results
high
performance
liquid
chromatography
tandem
mass
spectrometry.
About
10
µg/kg
antibiotic
concentration
designed
analysis.
Principal
component
analysis
orthogonal
partial
least
squares
discriminant
support
existence
variables
with
evident
inter-group
differences,
which
were
further
discerned
S-plot
plots,
permutation
tests
variable
importance
projection
pick
eligible
as
compound’
candidates.
Pairwise
t-test
fold
change
employed
validate
these
The
indicate
that
all
correctly
screened
out,
together
good
practicability
test
rural
greenhouse
soils,
proving
feasibility
method,
expected
present
great
superiority
wide
application
future
pollutants.
limits
detection
calculated
be
0.6–2.6
µg/kg.KEYWORDS:
Antibioticssoilsuspect
screeningmetabolomicsmarker
compounds
Disclosure
statementNo
potential
conflict
interest
reported
author(s).Supplementary
dataSupplemental
data
article
can
accessed
online
at
https://doi.org/10.1080/03067319.2023.2243224.Additional
informationFundingThis
work
supported
Science
Technology
Innovation
Program
China
Certification
&
Inspection
Group
[grant
number
2021ZJYF009];
Natural
Foundation
Liaoning
Province
2023-MS-349];
Special
Basic
Research
Dalian
Customs
2021DK11].
Environmental Science & Technology,
Journal Year:
2024,
Volume and Issue:
58(23), P. 9925 - 9944
Published: May 31, 2024
Organic
contaminants
are
ubiquitous
in
the
environment,
with
mounting
evidence
unequivocally
connecting
them
to
aquatic
toxicity,
illness,
and
increased
mortality,
underscoring
their
substantial
impacts
on
ecological
security
environmental
health.
The
intricate
composition
of
sample
mixtures
uncertain
physicochemical
features
potential
toxic
substances
pose
challenges
identify
key
toxicants
samples.
Effect-directed
analysis
(EDA),
establishing
a
connection
between
found
samples
associated
hazards,
enables
identification
that
can
streamline
research
efforts
inform
management
action.
Nevertheless,
advancement
EDA
is
constrained
by
following
factors:
inadequate
extraction
fractionation
samples,
limited
bioassay
endpoints
unknown
linkage
higher
order
impacts,
coverage
chemical
(i.e.,
high-resolution
mass
spectrometry,
HRMS),
lacking
effective
bioassays
analysis.
This
review
proposes
five
advancements
enhance
efficiency
addressing
these
challenges:
(1)
multiple
adsorbents
for
comprehensive
extraction,
(2)
microfractionation
multidimensional
refined
fractionation,
(3)
robust
vivo/vitro
omics,
(4)
high-performance
configurations
HRMS
analysis,
(5)
chemical-,
data-,
knowledge-driven
approaches
streamlined
toxicant
validation.
We
envision
future
will
integrate
big
data
artificial
intelligence
based
development
quantitative
cutting-edge
microfractionation,
ultraperformance
MS
hazard
factors,
serving
broader
governance.
Environmental Science & Technology,
Journal Year:
2024,
Volume and Issue:
58(37), P. 16302 - 16315
Published: Sept. 5, 2024
Chemical
exposomes
can
now
be
comprehensively
measured
in
human
blood,
but
knowledge
of
their
variability
and
longitudinal
stability
is
required
for
robust
application
cohort
studies.
Here,
we
applied
high-resolution
chemical
exposomics
to
plasma
46
adults,
each
sampled
6
times
over
2
years
a
multiomic
cohort,
resulting
276
individual
exposomes.
In
addition
quantitative
analysis
83
priority
target
analytes,
discovered
semiquantified
substances
that
have
rarely
or
never
been
reported
humans,
including
personal
care
products,
pesticide
transformation
polymer
additives.
Hierarchical
cluster
519
confidently
annotated
revealed
unique
distinctive
coexposures,
clustered
pesticides,
poly(ethylene
glycols),
chlorinated
phenols,
natural
from
tea
coffee;
interactive
heatmaps
were
publicly
deposited
support
open
exploration
the
complex
(meta)data.
Intraclass
correlation
coefficients
(ICC)
all
demonstrated
relatively
low
exposome
compared
proteome,
microbiome,
endogenous
small
molecules.
Implications
are
must
more
frequently
than
other
omics
studies
four
exposure
types
defined
considered
study
design.
this
mixed-effect
models
nevertheless
significant
associations
between
testosterone
perfluoroalkyl
substances,
demonstrating
great
potential
precision
health
research.
ACS ES&T Water,
Journal Year:
2024,
Volume and Issue:
4(8), P. 3380 - 3390
Published: July 13, 2024
Emerging
contaminants
(ECs)
are
increasingly
discharged
into
the
aquatic
environment
and
cannot
be
removed
by
conventional
water
treatment
processes.
The
detection
of
various
disinfection
byproducts
(DBPs)
originating
from
ECs
as
possible
precursors
is
challenging.
Herein,
liquid
chromatography
coupled
with
time-of-flight
mass
spectrometry
was
used
for
suspect
nontarget
screening
DBPs
simultaneously
in
effluent
drinking
plants
distribution
systems.
Forty-one
27
were
identified,
corresponding
to
different
confidence
levels
(1–3).
Pesticides,
pharmaceuticals,
personal
care
products
accounted
approximately
63%
ECs.
Halophenols
halonitrophenols
predominant
categories
aromatic
DBPs.
Three
EC
species
[4-nitrophenol,
3-methyl-4-nitrophenol,
enrofloxacin]
their
confirmed
[2,6-dichloro-4-nitrophenol,
2-bromo-6-chloro-4-nitrophenol,
2,6-dibromo-4-nitrophenol,
2-bromo-4-nitrophenol,
3-chloro-5-(chloromethyl)-4-nitrophenol]
detected
system.
intensity
initially
increased
then
decreased
transportation
branched
systems,
consistent
quantification
results.
Thus,
process
systems
impacts
DBP
formation.
The
assessment
and
regulation
of
chemical
toxicity
to
protect
human
health
the
environment
are
done
one
at
a
time
seldom
environmentally
relevant
concentrations.
However,
chemicals
found
in
as
mixtures,
their
is
largely
unknown.
Understanding
hazard
posed
by
within
mixture
critical
enforce
protective
measures.
Here,
we
demonstrate
application
bioactivity
profiling
environmental
water
samples
using
sentinel
ecotoxicology
model
species
Daphnia
reveal
biomolecular
response
induced
exposure
real-world
mixtures.
We
exposed
strain
30
sampled
waters
Chaobai
River
measured
gene
expression
profiles.
Using
multiblock
correlation
analysis,
establish
correlations
between
mixtures
identified
with
patterns
these
80
metabolic
pathways
putatively
activated
inorganic
ions,
heavy
metals,
polycyclic
aromatic
hydrocarbons,
industrial
chemicals,
set
biocides,
pesticides,
pharmacologically
active
substances.
Our
data-driven
approach
discovered
both
known
signatures
previously
described
modes
action
new
linked
undiscovered
potential
hazards.
This
study
demonstrates
feasibility
reducing
complexity
characterize
effects
defined
number
components
based
on
monitoring
Daphnia.
