Abstract.
China
has
long-term
high
PM2.5
levels,
and
its
Oxidative
Potential
(OP)
is
worth
studying
as
it
may
unravel
the
impacts
of
aerosol
pollution
on
public
health
better
than
alone.
OP
are
influenced
by
meteorological
factors,
anthropogenic
emissions
sources
atmospheric
aging.
Although
their
impact
have
been
studied,
measurements
only
recently
became
available
a
limited
scale,
they
require
considerable
technical
expertise
resources.
For
this,
joint
relationship
between
for
wide
range
conditions
profiles
remain
elusive.
Towards
we
estimated
over
using
Danish
Eulerian
Hemispheric
Model
(DEHM)
system
with
input
from
WRF
weather
forecast
model.
It
was
found
that
higher
values
were
primarily
concentrated
in
urban
agglomerations
central
eastern
regions
China,
while
lower
western
northeastern
regions.
Furthermore,
probability
density
function
revealed
about
40
%
areas
had
an
annual
average
concentrations
exceeding
Chinese
limit;
36
below
1
𝑛𝑚𝑜𝑙
𝑚𝑖𝑛−1
𝑚−3,
41
2
23
above
𝑚−3.
Analysis
simulations
indicate
emission
contributed
46
(65
%)
54
(35
to
concentration
variability.
The
sensitivity
analysis
also
highlighted
levels
mostly
determined
secondary
formation
biomass
burning.
ACS ES&T Air,
Год журнала:
2024,
Номер
1(11), С. 1453 - 1462
Опубликована: Окт. 16, 2024
Organic
matter
(OM)
is
a
major
contributor
to
the
oxidative
potential
(OP)
of
indoor
PM2.5.
Portable
air
purifiers
equipped
with
high-efficiency
particulate
(HEPA)
filters
are
known
effectively
remove
PM2.5
mass
concentrations.
However,
their
impacts
on
OP
and
sources
OM
whether
these
could
further
affect
metals
remain
poorly
understood.
In
crossover
trial,
each
43
asthmatic
children
underwent
2-week
true
filtration
(HEPA
+
activated
carbon
[AC])
sham
(no
HEPA
no
AC),
randomized
order.
samples,
simultaneously
collected
in
participants'
bedrooms
outside
homes,
were
measured
for
concentration,
composition,
mass-normalized
(OPm,
per
mass),
volume-normalized
(OPv,
OPm
×
concentration).
Compared
filtration,
was
34%
lower,
70%
OPv
80%
lower
during
filtration.
The
reduction
largely
attributed
removing
more
reactive
outdoor
secondary
OM.
change
composition
also
contributed
reduced
metals'
OPm.
Our
results
suggest
that
AC
efficiently
reduce
by
Reactive
Oxygen
Species
(ROS)
from
particulate
matter
(PM)
can
cause
adverse
health
effects.
Although
the
ROS-inducing
capability
of
PM
depends
on
its
composition
and
environmental
factors,
most
research
has
focused
impact
component
interactions.
The
role
photo-oxidation
often
been
overshadowed.
This
study
investigates
effects
ROS
production
aromatic
compounds
(ACs,
including
catechol
(CAT),
phthalic
acid
(PA),
4,4’-oxydibenzoic
(4,4’-OBA))
in
PM.
Moreover,
influence
interactions
between
ACs
transition
metals
(TMs,
Fe(II),
Mn(II),
Cu(II)),
are
concurrently
taken
into
account.
results
showed
facilitated
generation
ACs.
Combined
Fourier-transform
infrared
attenuated
total-reflectance
spectroscopy
(FTIR-ATR)
Ultraviolet-visible
(UV-vis)
caused
variations
relative
intensity
chemical
bonds,
breakage
formation
an
increase
light
absorption.
For
ACs-TMs
generations,
CAT-Fe(II)/Cu(II)
synergistic
effects;
ACs-Mn(II)
PA-Fe(II)/Cu(II)
exhibited
first
then
antagonistic
4,4’-OBA-Fe(II)/Cu(II)
UV-vis
different
interaction
were
due
to
complexation.
photo-oxidized
significantly
enhanced
compared
with
ACs-TMs.
corresponding
absorbance
functional
groups.
suggested
mechanism
involves
that
π-electrons
benzene
ring
groups
transfer
ground
state
excited
state,
leading
bonds
TMs
more
easily.
Our
work
among
components
influenced
generation,
atmospheric
oxidative
conditions,
such
as
photo-oxidation,
played
a
significant
role.
Further
studies
should
integrate
broader
factors
for
comprehensive
assessment
potential
Abstract.
China
has
long-term
high
PM2.5
levels,
and
its
Oxidative
Potential
(OP)
is
worth
studying
as
it
may
unravel
the
impacts
of
aerosol
pollution
on
public
health
better
than
alone.
OP
are
influenced
by
meteorological
factors,
anthropogenic
emissions
sources
atmospheric
aging.
Although
their
impact
have
been
studied,
measurements
only
recently
became
available
a
limited
scale,
they
require
considerable
technical
expertise
resources.
For
this,
joint
relationship
between
for
wide
range
conditions
profiles
remain
elusive.
Towards
we
estimated
over
using
Danish
Eulerian
Hemispheric
Model
(DEHM)
system
with
input
from
WRF
weather
forecast
model.
It
was
found
that
higher
values
were
primarily
concentrated
in
urban
agglomerations
central
eastern
regions
China,
while
lower
western
northeastern
regions.
Furthermore,
probability
density
function
revealed
about
40
%
areas
had
an
annual
average
concentrations
exceeding
Chinese
limit;
36
below
1
𝑛𝑚𝑜𝑙
𝑚𝑖𝑛−1
𝑚−3,
41
2
23
above
𝑚−3.
Analysis
simulations
indicate
emission
contributed
46
(65
%)
54
(35
to
concentration
variability.
The
sensitivity
analysis
also
highlighted
levels
mostly
determined
secondary
formation
biomass
burning.