8 research outputs found
Effect of Sodium Sulfate, Ammonium Chloride, Ammonium Nitrate, and Salt Mixtures on Aqueous Phase Partitioning of Organic Compounds
Dissolved inorganic salts influence
the partitioning of organic
compounds into the aqueous phase. This influence is especially significant
in atmospheric aerosol, which usually contains large amounts of ions,
including sodium, ammonium, chloride, sulfate, and nitrate. However,
empirical data on this salt effect are very sparse. Here, the partitioning
of numerous organic compounds into solutions of Na<sub>2</sub>SO<sub>4</sub>, NH<sub>4</sub>Cl, and NH<sub>4</sub>NO<sub>3</sub> was measured
and compared with existing data for NaCl and (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub>. Salt mixtures were also tested to establish
whether the salt effect is additive. In general, the salt effect showed
a decreasing trend of Na<sub>2</sub>SO<sub>4</sub> > (NH)<sub>2</sub>SO<sub>4</sub> > NaCl > NH<sub>4</sub>Cl > NH<sub>4</sub>NO<sub>3</sub> for the studied organic compounds, implying the following
relative
strength of the salt effect of individual anions: SO<sub>4</sub><sup>2â</sup> > Cl<sup>â</sup> > NO<sub>3</sub><sup>â</sup> and of cations: Na<sup>+</sup> > NH<sub>4</sub><sup>+</sup>. The
salt effect of different salts is moderately correlated. Predictive
models for the salt effect were developed based on the experimental
data. The experimental data indicate that the salt effect of mixtures
may not be entirely additive. However, the deviation from additivity,
if it exists, is small. Data of very high quality are required to
establish whether the effect of constituent ions or salts is additive
or not
Measuring and Modeling the Salting-out Effect in Ammonium Sulfate Solutions
The
presence of inorganic salts significantly influences the partitioning
behavior of organic compounds between environmentally relevant aqueous
phases, such as seawater or aqueous aerosol, and other, nonaqueous
phases (gas phase, organic phase, etc.). In this study, salting-out
coefficients (or Setschenow constants) (<i>K</i><sub><i>S</i></sub> [M<sup>â1</sup>]) for 38 diverse neutral
compounds in ammonium sulfate ((NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub>) solutions were measured using a shared headspace passive
dosing method and a negligible depletion solid phase microextraction
technique. The measured <i>K</i><sub><i>S</i></sub> were all positive, varied from 0.216 to 0.729, and had standard
errors in the range of 0.006â0.060. Compared to <i>K</i><sub><i>S</i></sub> for sodium chloride (NaCl) in the literature, <i>K</i><sub><i>S</i></sub> values for (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub> are always higher for the same compound,
suggesting a higher salting-out effect of (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub>. A polyparameter linear free energy relationship (pp-LFER)
for predicting <i>K</i><sub><i>S</i></sub> in
(NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub> solutions was generated
using the experimental data for calibration. pp-LFER predicted <i>K</i><sub><i>S</i></sub> agreed well with measured <i>K</i><sub><i>S</i></sub> reported in the literature. <i>K</i><sub><i>S</i></sub> for (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub> was also predicted using the quantum-chemical
COSMO<i>therm</i> software and the thermodynamic model AIOMFAC.
While COSMO<i>therm</i> generally overpredicted the experimental <i>K</i><sub><i>S</i></sub>, predicted and experimental
values were correlated. Therefore, a fitting factor needs to be applied
when using the current version of COSMO<i>therm</i> to predict <i>K</i><sub><i>S</i></sub>. AIOMFAC tends to underpredict
the measured <i>K</i><sub>S</sub>((NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub>) but always overpredicts <i>K</i><sub>S</sub>(NaCl). The prediction error is generally larger for <i>K</i><sub>S</sub>(NaCl) than for <i>K</i><sub>S</sub>((NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub>). AIOMFAC also predicted a dependence
of <i>K</i><sub><i>S</i></sub> on the salt concentrations,
which is not observed in the experimental data. In order to demonstrate
that the models developed and calibrated in this study can be applied
to estimate Setschenow coefficients for atmospherically relevant compounds
involved in secondary organic aerosol formation based on chemical
structure alone, we predicted and compared <i>K</i><sub>S</sub> for selected α-pinene oxidation products
Large Bubbles Reduce the Surface Sorption Artifact of the Inert Gas Stripping Method
Accurate Henryâs law constants between air and
water (<i>H</i>) are crucial for understanding a chemicalâs
environmental
behavior. During inert gas stripping (IGS) <i>H</i> is derived
from the rate of a chemicalâs disappearance from aqueous solution
as a result of air bubbling through a water-filled column. While <i>H</i> of many semivolatile organic compounds has been measured
by IGS, inconsistent results between different studies have been attributed
to chemical adsorption to the bubble surface. This surface adsorption
artifact is expected to increase with a chemicalâs interfaceâair
partition coefficient (<i>K</i><sub>IA</sub>) and decreasing
bubble size. Previous work with normal alkanols of variable chain
length identified a <i>K</i><sub>IA</sub> threshold of approximately
0.001 m, above which IGS is compromised by the surface sorption artifact.
In this study, we repeated IGS measurements of <i>H</i> of
normal alkanols at different temperatures of 298.15 K, 305.65 K, 323.15
K, and 343.15 K using a modified gas inlet mechanisms that results
in the formation of large bubbles (diameter approximately 5.5 mm).
The new <i>H</i> values agreed very well with those measured
with a head space technique that is much less susceptible to surface
adsorption. The method is judged suitable for measuring <i>H</i> of surface active chemicals with <i>K</i><sub>IA</sub> values below 0.02 <i>m</i>
Calculating Equilibrium Phase Distribution during the Formation of Secondary Organic Aerosol Using COSMO<i>therm</i>
Challenges in the parametrization
of compound distribution between
the gas and particle phase contribute significantly to the uncertainty
in the prediction of secondary organic aerosol (SOA) formation and
are rooted in the complexity and variability of atmospheric condensed
matter, which includes water, salts, and a multitude of organic oxidation
products, often in two separated phases. Here, we explore the use
of the commercial quantum-chemistry-based software COSMO<i>therm</i> to predict equilibrium partitioning and Setchenow coefficients of
a suite of oxidation products of α-pinene ozonolysis in an aerosol
that is assumed to separate into an organic-enriched phase and an
electrolyte-enriched aqueous phase. The predicted coefficients are
used to estimate the phase distribution of the organic compounds,
water and ammonium sulfate, the resulting phase composition, and the
SOA yield. Four scenarios that differ in terms of organic loading,
liquid water content, and chemical aging are compared. The organic
compounds partition preferentially to the organic phase rather than
the aqueous phase for the studied aerosol scenarios, partially due
to the salting-out effect. Extremely low volatile organic compounds
are predicted to be the dominant species in the organic aerosols at
low loadings and an important component at higher loadings. The highest
concentration of oxidation products in the condensed phase is predicted
for a scenario assuming the presence of non-phase-separated cloud
droplets. Partitioning into an organic aerosol phase composed of the
oxidation products is predicted to be similar to partitioning into
a phase composed of a single organic surrogate molecule, suggesting
that the calculation procedure can be simplified without major loss
of accuracy. COSMO<i>therm</i> is shown to produce results
that are comparable to those obtained using group contribution methods.
COSMO<i>therm</i> is likely to have a much larger application
domain than those group contribution methods because it is based on
fundamental principles with little calibration
A High-Precision Passive Air Sampler for Gaseous Mercury
Passive
air samplers (PASs) provide an opportunity to improve the
spatial range and resolution of gaseous mercury (Hg) measurements.
Here, we propose a sampler design that combines a sulfur-impregnated
activated carbon sorbent, a Radiello diffusive barrier, and a protective
shield for outdoor deployments. The amount of gaseous Hg taken up
by the sampler increased linearly with time for both an 11-week indoor
(<i>r</i><sup>2</sup> = 0.990) and 12-month outdoor (<i>r</i><sup>2</sup> = 0.996) deployment, yielding sampling rates
of 0.158 ± 0.008 m<sup>3</sup> day<sup>â1</sup> indoors
and 0.121 ± 0.005 m<sup>3</sup> day<sup>â1</sup> outdoors.
These sampling rates are close to modeled estimates of 0.166 m<sup>3</sup> day<sup>â1</sup> indoors and 0.129 m<sup>3</sup> day<sup>â1</sup> outdoors. Replicate precision is better than for
all previous PASs for gaseous Hg, especially during outdoor deployments
(2 ± 1.3%). Such precision is essential for discriminating the
relatively small concentration variations occurring at background
sites. Deployment times for obtaining reliable time-averaged atmospheric
gaseous Hg concentrations range from a week to at least one year
Field Evaluation of a Flow-Through Sampler for Measuring Pesticides and Brominated Flame Retardants in the Arctic Atmosphere
A flow-through sampler (FTS) was codeployed with a super
high volume
active sampler (SHV) between October 2007 and November 2008 to evaluate
its ability to determine the ambient concentrations of pesticides
and brominated flame retardants in the Canadian High Arctic atmosphere.
Nine pesticides and eight flame retardants, including three polybrominated
diphenyl ether (PBDE) replacement chemicals, were frequently detected.
Atmospheric concentrations determined by the two systems showed good
agreement when compared on monthly and annually integrated time scales.
Pesticide concentrations were normally within a factor of 3 of each
other. The FTS tended to generate higher PBDE concentrations than
the SHV presumably because of the entrainment of blowing snow/ice
crystals or large particles. Taking into account uncertainties in
analytical bias, sample volume, and breakthrough estimations, the
FTS is shown to be a reliable and cost-effective method, which derives
seasonally variable concentrations of semivolatile organic trace compounds
at extremely remote locations that are comparable to those obtained
by conventional high volume air sampling. Moreover, the large sampling
volumes captured by the FTS make it suitable for the screening of
new and emerging chemicals in the remote atmosphere where concentrations
are usually low
Mountain Cold-Trapping Increases Transfer of Persistent Organic Pollutants from Atmosphere to Cowsâ Milk
Concentrations
of long-lived organic contaminants in snow, soil,
lake water, and vegetation have been observed to increase with altitude
along mountain slopes. Such enrichment, called âmountain cold-trappingâ,
is attributed to a transition from the atmospheric gas phase to particles,
rain droplets, snowflakes, and Earthâs surface at the lower
temperatures prevailing at higher elevations. Milk sampled repeatedly
from cows that had grazed at three different altitudes in Switzerland
during one summer was analyzed for a range of persistent organic pollutants.
Mountain cold-trapping significantly increased air-to-milk transfer
factors of most analytes. As a result, the milk of cows grazing at
higher altitudes was more contaminated with substances that have regionally
uniform air concentrations (hexachlorobenzene, α-hexachlorocyclohexane,
endosulfan sulfate). For substances that have sources, and therefore
higher air concentrations, at lower altitudes (polychlorinated biphenyls,
Îł-hexachlorocyclohexane), alpine milk has lower concentrations,
but not as low as would be expected without mountain cold-trapping.
Differences in the elevational gradients in soil concentrations and
air-to-milk transfer factors highlight that cold-trapping of POPs
in pastures is mostly due to increased gas-phase deposition as a result
of lower temperatures causing higher uptake capacity of plant foliage,
whereas cold-trapping in soils more strongly depends on wet and dry
particle deposition. Climatic influences on air-to-milk transfer of
POPs needs to be accounted for when using contamination of milk lipids
to infer contamination of the atmosphere