Wastewater
microbial
communities
within
conventional
activated
sludge
(CAS)
systems
can
perform
hundreds
of
biotransformations
whose
relative
importance,
frequency,
and
temporal
stability
remain
largely
unexplored.
To
improve
our
understanding
in
CAS
systems,
we
collected
24
h
composite
samples
from
the
influent
effluent
a
system
over
14
days,
analyzed
using
high-resolution
mass
spectrometry
(HRMS),
conducted
nontarget
analysis
HRMS
acquisitions.
We
found
that
50%
chemical
features
were
completely
removed,
daily
number
detected
exhibited
low
variability
with
coefficient
variation
0.07.
Additionally,
352
Core
present
every
sample
at
both
locations.
used
to
search
for
evidence
19
potential
9
these
frequency
80
times
per
day,
where
Environmental Science & Technology,
Journal Year:
2025,
Volume and Issue:
59(5), P. 2815 - 2826
Published: Jan. 30, 2025
The
widespread
presence
of
antibiotics
in
aquatic
ecosystems
is
a
global
challenge,
yet
the
occurrence
and
risks
associated
with
their
transformation
products
(TPs)
remain
poorly
understood.
This
study
investigated
potential
TPs
water
along
Chaobai
River
Beijing.
We
used
high-resolution
mass
spectrometry
an
integrated
target,
suspect,
nontarget
screening
approach
to
identify
21
parent
78
among
90
samples,
majority
from
macrolides
sulfonamides.
Notably,
target
quantification
machine-learning-assisted
semiquantification
revealed
that
cumulative
concentrations
were
higher
than
compounds,
average
contributions
ranging
between
50.7
63.7%.
Most
downstream
samples
largely
influenced
by
domestic
sewage,
as
indicated
significantly
proportions
TPs,
well
greater
diversity
composition
profiles
compared
upstream
reservoir
samples.
Moreover,
26.9,
67.9,
6.4%
exhibited
persistence,
mobility,
or
toxicity
antibiotics,
respectively.
Sixteen
macrolide
presented
both
ecological
organisms
resistance
selection
antibiotics.
contributed
substantially
overall
antibiotic-related
31.2
54.1%.
highlights
antibiotic
river
water,
underscoring
need
consider
comprehensive
risk
assessments
The
transformation
pathways
and
risks
of
emerging
contaminants
(ECs)
in
wastewater
remain
unclear
due
to
the
limited
throughput
nontarget
screening.
In
this
study,
an
improved
method
called
entropy
similarity-driven
reaction
molecular
networking
(ESTRMN)
was
developed
identify
products
(TPs)
wastewater.
detail,
similarity
most
effective
algorithm
for
identifying
parent-product
spectrum
pairs
a
threshold
0.5
it
determined
with
guarantee
high
specificity.
Additionally,
TP
structure
database
predicted
according
known
structures
reactions
established
assist
identification.
Sartan
is
one
commonly
used
angiotensin
II
receptor
blocker
antihypertensive
drugs.
Take
sartans
as
example,
69
TPs
confidence
levels
above
3
were
identified
by
ESTRMN,
43
which
newly
discovered.
common
included
hydroxylation,
hydrolysis,
oxidation,
resulting
majority
sartan
exhibiting
higher
persistence,
mobility,
toxicity
(PMT)
than
their
parents.
concentration
75%
increased
after
treatment
WWTP,
overall
risk
has
not
been
effectively
mitigated.
This
study
emphasizes
role
ESTRMN
incorporating
ECs
into
environmental
monitoring
protocols
assessment
frameworks
management.
Pharmaceuticals
and
their
transformation
products
(TPs)
in
wastewater
are
emerging
contaminants
that
pose
risks
to
ecosystems
human
health.
Here,
a
typical
period
marked
by
the
easing
of
"zero-COVID"
policy
December
2022,
resulting
unprecedented
infections
China,
was
chosen
illustrate
environmental
impact
pharmaceutical
usage
during
COVID-19
pandemic.
A
suspect
screening
workflow
developed
identify
pharmaceuticals
influent
effluent
from
treatment
plant
(WWTP)
peak
postpeak
periods
COVID-19,
integrating
medication
recommendations
TPs'
prediction.
total
114
TPs
were
identified
(13
detected
for
first
time
WWTP)
using
liquid
chromatography
coupled
with
high-resolution
mass
spectrometry
(LC-HRMS).
Wastewater-based
epidemiology
analysis
showed
most
predominant
nonsteroidal
anti-inflammatory
drugs.
Interestingly,
consumption
propafenone
increased
after
infection
peak,
possibly
linked
long
symptoms.
Risks
further
evaluated
based
on
concentration,
detection
frequency,
PMT
(persistence,
mobility,
toxicity)
properties,
revealing
aminopyrine,
acetaminophen,
etc.
even
greater
ToxPi
scores
than
parent
compounds.
This
study
highlights
elevated
posed
discharge
epidemics
necessity
monitoring.
Triazine
herbicides
(THs)
are
used
globally
to
control
weeds
in
urban
environments,
but
their
transformation
products
(TPs)
rarely
considered
due
the
lack
of
reference
standards.
In
this
study,
a
total
41
TPs
were
found
wastewater
influents
and
effluents
28
municipal
treatment
plants
(MWWTPs)
from
six
cities
China
by
integrating
suspect
screening
(36
TPs),
molecular
networking
(9
diagnostic
fragment
searching
(12
TPs).
Among
these,
36
detected
for
first
time
aquatic
reported
environments.
Polar
THs
only
partially
removed
aqueous
phase
process.
Concentrations
present
ranged
107
435
ng/L.
Thus,
discharged
pose
medium
risk
freshwater
algae
receiving
waters.
Moreover,
4
(ametryne,
atrazine,
terbutryn,
prometryne)
3
(atrazine-desisopropyl,
TP247,
TP258)
significant
risks
several
effluents.
Considering
persistent
mobile
properties
ecological
TPs,
these
contaminants
should
be
specifically
further
environmental
monitoring
included
regulation.
Emerging
contaminants
(ECs)
can
exert
irreversible
health
impacts
on
humans,
even
at
trace
concentrations.
Currently,
nontargeted
screening
of
ECs
has
been
developed
for
their
assessment,
which
requires
sophisticated
instrumentation.
Although
satellite
remote
sensing
is
a
cost-effective
technology
water
quality
accurately
measuring
in
river-to-ocean
continuum
remains
significant
challenge
due
to
levels.
To
address
this
challenge,
we
innovate
strategy
utilizing
achieve
high-resolution
EC
screening.
By
employing
DOM
as
an
intermediary
variable,
bridging
the
gap
between
and
continua.
DOM,
including
total
sum
ECs,
reflects
distribution
spectral
sensitivity,
enabling
capture
unique
fingerprints.
In
study,
enhanced
accuracy
from
32.2
95.7%
using
machine
learning.
Interpretable
learning
causal
inference
SHAP
models
reveal
that
shortwave
infrared
(SWIR)
S2-B11
crucial
while
emphasizing
importance
avoiding
multicollinearity
with
similar
SWIR
band
S2-B12.
Additionally,
reflectance
influenced
by
proportion
polarity-related
heterogeneity
ECs.
Furthermore,
real-time
surveillance
system
featuring
interactive
maps
GPT-based
contamination
interpretation.
Analytical and Bioanalytical Chemistry,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 18, 2024
Abstract
Wastewater-based
epidemiology
(WBE)
is
a
powerful
tool
to
gather
epidemiological
insights
at
the
community
level,
providing
objective
data
on
population
exposure
harmful
substances.
A
considerable
portion
of
human
these
potentially
chemicals
occurs
unintentionally,
unlike
substances
such
as
pharmaceuticals,
illicit
drugs,
or
alcohol.
In
this
context,
comprehensive
review
analyzes
WBE
studies
focused
classes
organic
which
humans
are
unintentionally
exposed,
namely
organophosphorus
flame
retardants,
per-
and
polyfluoroalkyl
(PFAS),
benzotriazoles
benzothiazoles,
phthalates
terephthalates,
benzophenones,
pesticides,
bisphenols,
parabens.
The
highlights
some
advantages
for
public
health
surveillance,
e.g.,
non-invasive
analysis,
predictive
capability,
nearly
real-time
data,
population-wide
insights,
no
ethical
approval,
unbiased
sampling.
It
also
discusses
challenges
future
research
directions
in
regarding
from
various
sources.
emphasizes
critical
role
wastewater
sampling,
sample
preparation,
quality
control,
instrumental
analysis
achieving
accurate
reliable
results.
Furthermore,
it
examines
selection
biomarkers
explores
strategies
link
with
biomonitoring
(HBM),
together
enhance
both
precision
effectiveness
assessments.
