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Characterization of Natural and Affected Environments
Gas-Particle Partitioning of Carbonyl Compounds in the Ambient Atmosphere Hengqing Shen, Zhongming Chen, Huan Li, Xi Qian, Xuan Qin, and Wenxiao Shi Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.8b01882 • Publication Date (Web): 28 Aug 2018 Downloaded from http://pubs.acs.org on August 30, 2018
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Gas-particle Partitioning of Carbonyl Compounds in the Ambient
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Atmosphere
3
Hengqing Shen, Zhongming Chen*, Huan Li, Xi Qian, Xuan Qin, Wenxiao Shi
4
State Key Laboratory of Environmental Simulation and Pollution Control, College of
5
Environmental Sciences and Engineering, Peking University, Beijing 100871, China
6
ABSTRACT
7
Despite their crucial roles in health and climate concerns, the gas-particle
8
partitioning of carbonyl compounds is poorly characterized in the ambient atmosphere.
9
In this study, we investigate their partitioning by simultaneously measuring six
10
carbonyl compounds (formaldehyde, acetaldehyde, acetone, propionaldehyde, glyoxal,
11
and methylglyoxal) in gas and particle phase at an urban site in Beijing. The
12
field-derived partitioning coefficients ( ) are in the range of 10−5−10−3 m3 µg−1, and
13
corresponding effective Henry’s law coefficients ( ) should be 107–109 M atm−1.
14
The Pankow’s absorptive partitioning theory and the Henry’s law both significantly
15
underestimate concentrations of particle-phase carbonyl compounds (105–106 times
16
and >103 times, respectively). The observed “salting in” effects only partially explain
17
the enhanced partitioning to particles, approximately one order of magnitude. The
18
measured values are higher at low relative humidity and the overall effective
19
vapor pressure of these carbonyl species are lower than their hydrates, indicating that
20
carbonyl oligomers potentially formed in highly concentrated particle phase. The
21
reaction kinetics of oligomer formation should be included if applying the Henry’s
22
law to low-to-moderate RH and the high partitioning coefficients observed need
23
further field and laboratory studies. These findings provide deeper insights into the
24
formation of carbonyl secondary organic aerosols in the ambient atmosphere.
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1 INTRODUCTION
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Secondary organic aerosols (SOA) form a significant fraction of atmospheric
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fine particulate matter, and they play important roles in regional air quality and global
29
climate change.1 Traditional two-product models relying on absorptive partitioning
30
theory or volatility basis set (VBS) models usually significantly underestimate mass
31
concentrations and oxidation state of SOA in the ambient atmosphere, particularly in
32
polluted urban areas.1-3 The large discrepancy between field measurements and model
33
simulations could partly be ascribable to an incomplete understanding of SOA
34
formation pathways, including gas-particle partitioning of the oxidation products of
35
volatile organic compounds (VOCs), one of the critical processes determining the
36
formation and growth of SOA in the atmosphere.
37
Carbonyl compounds are important oxidation intermediates of VOCs and crucial
38
composition of SOA.4 However, small carbonyls such as formaldehyde and glyoxal
39
have been considered as an insignificant contributor to aerosol mass until recently due
40
to their high vapor pressures. Yet, increasing numbers of laboratory and field studies
41
confirm that these highly soluble and reactive small carbonyls actually contribute to
42
SOA formation much more than expected.5-8 In laboratory, Jang et al.7 observed that
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the hydration of small carbonyls in the particle phase could contribute to particle
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growth through further heterogeneous reactions and oligomerization, and Kalberer et
45
al.9 found that polymers formed from small carbonyls were major components of
46
organic aerosols. Field evidence for the importance of small carbonyls in SOA
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formation was first proposed by Volkamer et al.,8 who found that a missing glyoxal
48
sink account for 15% of the SOA mass in Mexico City. These small carbonyls
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entering particle phase significantly change the physicochemical properties of
50
aerosols, e.g., decreasing the surface tension of aerosols, and forming extremely
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light-absorbing compounds known as brown carbon.10-12 These studies highlight the
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importance of small carbonyls in the formation, growth, and evolution of urban SOA.
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A better understanding of gas-particle partitioning of small carbonyls is critical 2
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for estimating their contribution to the property and concentration of SOA. Gas-phase
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carbonyls could distribute into the aerosol organic or aqueous phase, and these two
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progresses are expected to follow the Pankow’s absorptive partitioning theory
57
(Pankow’s partitioning coefficient, ) and the Henry’s law (Henry’s law coefficient,
58
), respectively. However, laboratory-determined particle-phase carbonyls have been
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found several orders of magnitude higher than that being predicted by their
60
corresponding ,7,13 which is contrast to other types of compounds such as
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polycyclic aromatic hydrocarbons and n-alkanes that are well predicted.14 The
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measurements for small carbonyls also have uncertainties of several orders of
63
magnitude,15,16 hence the applicability of in highly concentrated aerosol phase are
64
still in doubt. Furthermore, the field-derived gas-particle partitioning coefficients ( )
65
or the effective Henry’s law coefficients ( ) of small carbonyls especially for
66
glyoxal and methylglyoxal are very limited and highly uncertain,8,17 and the influence
67
of various environmental factors (such as relative humidity and salts) on their
68
partitioning are not carefully assessed.18,19 Additionally, the distribution of their
69
different forms (monomer, hydrates or oligomers) has not been determined in ambient
70
particles. Overall, despite excess (more than predicted) concentrations of carbonyls
71
have been detected in ambient particles,17,20 their detailed partitioning mechanism and
72
behavior are poorly characterized in the atmosphere.17,19,21
73
In this study, we simultaneously measured gas- and particle-phase concentrations
74
of six carbonyls (formaldehyde, acetaldehyde, acetone, propionaldehyde, glyoxal, and
75
methylglyoxal) at an urban site in Beijing, China, and estimated their and in
76
the field. Then, observed and are compared with their theoretical
77
partitioning coefficients. We further explore the salts effects and relative humidity
78
dependence in their partitioning in the ambient atmosphere.
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2 MATERIAL AND METHODS
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2.1 Field Sampling
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Ambient gas and particle measurements were obtained on the roof of a six-story
82
academic building (about 20 m above the ground level) on the campus of Peking
83
University (PKU, 39.99°N, 116.30°E), from 6 November to 17 November 2014. This
84
site is located in the northwest of Beijing and is regarded a representative urban site.
85
Except for two main traffic roads, there are no significant stationary pollution sources
86
in the area.
87
The gas-phase and particle-phase samples were collected using two independent
88
samplers. The gas-phase samples were collected using Sep-Pak DNPH-Silica gel
89
cartridges (Waters) with an ozone scrubber cartridge (Waters) filled with potassium
90
iodide (KI) being connected to its front to eliminate ozone interference. Ultrapure
91
nitrogen gas was added and mixed with the sampled ambient air to reduce the relative
92
humidity (RH), as high RH would lead to KI deliquescing and ozone scrubber
93
blocking. The sampling duration was 3 hours between 07:20–22:20, and 9 hours
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between 22:20–07:20. The field blank DNPH cartridge samples were collected every
95
three days by placing it near the gas inlet for the same duration.
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A four-channel sampler (TH-16A, Wuhan Tianhong, China) was used to collect
97
PM2.5 samples at a flow rate of 16.7 L min–1. Two sample sets, one daytime sample
98
(08:00–19:30) and one nighttime sample (20:00–07:30), were obtained daily. Each set
99
included two Teflon filters and two preheated (550 °C for 6 hours) quartz filters
100
(Whatman, 47 mm diameter). The Teflon filters were weighted by a semi-micro
101
balance (Sartorius, Germany) to obtain the mass concentration of PM2.5 and extracted
102
to measure water-soluble inorganic compounds (Na+, NH4+, K+, Mg2+, Ca2+, Cl–, NO3–,
103
and SO42–) by DIONEX ICS-2500 and ICS-2000 ion-chromatograph, and the quartz
104
filters were used for carbonyls analysis. Filters were stored at –18 °C in darkness
105
immediately after the sampling and analyzed within two weeks. Blank measurements
106
were made every three days by placing a filter on the PM2.5 inlet without sucking air. 4
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Backup quartz filters were used to evaluate the sampling artifacts (i.e., gaseous
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carbonyls adsorption on the filters) through an independent experimental study.
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Several major trace gases (CO, O3, SO2, NO, and NO2) and meteorological
110
parameters (temperature, RH, wind direction, and wind speed) were monitored at the
111
same site. The PM2.5 mass concentration was also measured online using TEOM
112
1400a, and the half-day averaged data were very consistent with those obtained by
113
weighing (Figure S1). The meteorological parameters as well as measured
114
concentrations of trace gases and PM2.5 are provided in Table S1.
115
2.2 Sample Extraction and Analysis
116
The DNPH cartridges were eluted with 5 mL acetonitrile (LC grade, Merck), and
117
analyzed by high performance liquid chromatography (HPLC) with an ultraviolet (UV)
118
detector. The detailed analysis method is described in our earlier report.22 The quartz
119
filters were extracted with 5 mL acetonitrile, 1 mL DNPH acetonitrile solution (~10–2
120
M), and 30 µL H2SO4 solution using a shaker (Shanghai Zhicheng ZWY 103D, China)
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at 180 rpm and 4 °C for 180 minutes. The solution was kept in darkness for 12–24
122
hours derivatization and analyzed using the same method as with the gas phase
123
detection. Note that the measured particle-phase carbonyls may include their original
124
monomer forms and the reversibly formed hydrates and oligomers. The carbonyls are
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identified by a mixed liquid standard solution of ten carbonyls (formaldehyde,
126
acetaldehyde, acetone, propionaldehyde, methylacrolein, butaldehyde, methyl vinyl
127
ketone, benzaldehyde, glyoxal, and methylglyoxal). The limits of detection are
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approximately 1 ng m–3 for particle-phase carbonyls and below 50 pptv for gas-phase
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carbonyls. We also quantify particle-phase formaldehyde using the deprotonated ion
130
of m/z = 209 [formaldehyde-DNPH-H]– measured by LC-MS and compared with that
131
of HPLC-UV detection in an independent experiment, and confirm that formaldehyde
132
is not a positive bias from other compounds reacting with DNPH and co-eluting. A
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total of 72 gas-phase samples and 23 particle-phase samples were obtained, and all
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reported data in this paper are blank-corrected. 5
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2.3 Sampling Artifacts
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Quartz filters have been widely used for measuring gas-particle partitioning of
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VOCs, and similar method as described in this study were used in the sampling of
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glyoxal and methylglyoxal in many previous studies.23-25 However, the lack of using
139
denuders may lead to positive artifacts by adsorption of gas-phase carbonyls on the
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filters, which have been evaluated by some previous studies.26-29 In field study,
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Odabasi et al.29 reported that about 36% of the measured particle-phase formaldehyde
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was caused by adsorbed formaldehyde on quartz filters.
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In this study, independent experiments were carried out in field to evaluate the
144
possible adsorption artifacts. The atmospheric conditions (RH, temperature and PM2.5)
145
during the artifact experiments are provided in the Supporting Information, which
146
actually cover the atmospheric conditions of samples that are used for the partitioning
147
observation. We placed a backup quartz filter after the particle sampling quartz filter
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using an independent filter holder, then the first filter would collect the particles, and
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the gas flow carrying gas-phase carbonyls would pass through the second filter. If the
150
adsorption by the filter dominates the measured particle-phase carbonyls, the ratio of
151
the measured carbonyls in the second filter to that in the first would be large (close to
152
one). We provide the measured results in Figure S4. The fraction is usually lower than
153
20% for measured formaldehyde, glyoxal and methylglyoxal, and within 30% for
154
acetaldehyde and acetone. The higher fraction of adsorbed acetaldehyde and acetone
155
is reasonable considering their high gas-phase concentrations and relatively low
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particle-phase concentrations (Section 3.1). Compared with the results of Odabasi et
157
al.,29 the adsorbed formaldehyde is relatively small in our study (13% vs. 36%). This
158
may be caused by glass fiber filters used in their study, which are more alkaline and
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therefore likely to adsorb more slightly acidic aldehyde. In addition, different
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temperature dependence of particle partitioning and filter adsorption may also
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contribute to this discrepancy, as the sampling temperature is different (8.5 °C vs.
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18 °C).
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We also approximate the artifacts using the equation derived by Mader and
163 164
Pankow26, which has been evaluated by Liggio28:
,
, = (1 + ) TSP
(1)
165
Where , is the measured carbonyl particle-phase concentration and is the
166
actually concentration in the particles, , is the gas-filter partitioning coefficient
167
adopted from Liggio,28 is the filter area, is the gas-particle partitioning
168
coefficient, TSP is particle concentrations and is the sample volume. We also
169
measured the gas-filter partitioning coefficient for formaldehyde in laboratory (see
170
Supporting Information), which are similar with that adopted from Liggio28 (9.2 × 10–
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4
172
estimation, the artifacts caused by filter adsorption are about 24% for formaldehyde, 4%
173
for glyoxal and 9% for methylglyoxal. For acetaldehyde and acetone, the artifacts
174
would be about 60%, larger than the measured fractions in the field. However, even in
175
extreme cases that the actual concentrations of acetaldehyde and acetone in the
176
particles only account for 40% of the measured concentrations, the derived
177
gas-particle partitioning coefficients would only decrease about two, and according to
178
the evaluation of field measurements, the artifacts would be smaller. Therefore,
179
though gas-phase carbonyls could be in part adsorbed on the quartz filter, the
180
uncertainty caused by the adsorption would usually be no more than 30% based on the
181
field measurements, especially for the three most concerned carbonyls, formaldehyde,
182
glyoxal and methylglyoxal, and it thus will not affect the validity of our conclusions.
183
2.4 Aerosol Water Content
vs. 1.0 × 10–3 m3 cm–2) and have a slight increase with increasing RH. According the
184
In order to derive the effective Henry’s law coefficients for the measured
185
carbonyls, aerosol water content (AWC) is needed. The thermodynamic model
186
ISORROPIA-II is used here to calculate the equilibrium inorganic ion composition
187
and AWC based on the measured aerosol composition (Na+, NH4+, K+, Mg2+, Ca2+, Cl–, 7
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NO3–, and SO42–) and meteorological parameters (temperature and RH).30 Both
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forward and reverse modes are used assuming a metastable system, and both modes
190
output similar results. Gas-phase ammonia estimated from the observed NOx
191
concentration with an empirical equation derived from Meng et al.31 is included, but it
192
does not substantially affect calculated AWC. The AWC prediction has been evaluated
193
and shown previously to provide reasonable performance compared with particle
194
water measurements.32,33 The water contributed by organic fraction is neglected in this
195
study due to the lack of data on the particulate organic matter, however, previous
196
studies have shown that the mass fraction of organic matter induced particle water
197
accounts for less than 10% of total AWC.34
198
2.5 Estimation of Partitioning Coefficient
199 200
Here, for each carbonyl compound i, the field gas-particle partitioning coefficient ( ) (m3 µg–1) is determined according to equation (2):
, =
, , TSP
(2)
201
where C, (ng m–3) and C, (ng m–3) are the particle- and gas-phase concentrations
202
of compound i, respectively; and TSP (µg m–3) is the mass concentration of suspended
203
particles (mass concentrations of PM2.5 are used here). The value could represent
204
the capability of compound i partitioning into the particles under specific conditions
205
in the ambient atmosphere.
206 207
The field-derived effective Henry’s law coefficient ( ) is calculated by equation (3):
, = 10 208 209 210
, , AWC/ρ# $%
(3)
where c, (µg m–3) and c, (atm–1) are particle- and gas-phase concentrations, respectively; AWC (µg m–3) is the aerosol water content modeled by ISORROPIA-II; (g mol–1) is relative molecular weight; ρ# $% (g cm–3) is the density of water. In 8
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calculation, we do not consider aerosol phase state assuming that equilibrium is
212
reached between gas phase and aerosol liquid water. It should be noted that the
213
modeled lowest AWC is about 0.2 µg m–3 during the observation, with an everage
214
value of 4.16 µg m–3. The calculated here represents the apparent effective
215
Henry’s law coefficient of compound i in ambient particles.
216
The detailed description about the calculaiton of theoretical equilibrium
217
absorptive partitioning coefficient ( $ ) (m3 µg–1) based on the method developed by
218
Pankow35 is provided in the Supporting Information. The vapor pressure ('() ), which
219
is the primary determinant in $ estimation, is calculated using the extended aerosol
220
inorganic model (E-AIM).
221
3 RESULTS AND DISCUSSION
222
3.1 Carbonyls in the Gas and Particle Phase
223
Four monocarbonyls (formaldehyde, acetaldehyde, acetone, and propionaldehyde)
224
and two dicarbonyls (glyoxal and methylglyoxal) are quantified in both the gas and
225
particle phase. Figure 1 shows their temporal variations and Table S2 summaries their
226
average concentrations and range. Formaldehyde, acetaldehyde, and acetone are the
227
most abundant carbonyls in the gas phase, with average concentrations of 3.85 ppbv,
228
2.22 ppbv, and 3.52 ppbv, respectively. The average gas-phase concentrations of two
229
dicarbonyls, glyoxal and methylglyoxal, are 0.10 ppbv and 0.31 ppbv, respectively.
230
Formaldehyde is also the most abundant carbonyl in the particle phase, with an
231
average concentration of 23.20 ng m–3. This value is consistent with previous field
232
measurements, where the presence of dozens ng m–3 formaldehyde in the particle
233
phase in both rural and urban areas are confirmed.20,29,36 The average particle-phase
234
concentrations of glyoxal and methylglyoxal are 12.01 ng m–3 and 8.27 ng m–3,
235
respectively, which are in the range of previously reported values in Beijing.23,37,38
236
Note that the particle-phase propionaldehyde is only detected in five samples. The
237
temporal variations of four monocarbonyls (methylacrolein, butaldehyde, methyl 9
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vinyl ketone, and benzaldehyde) only detected in the gas phase are shown in Figure
239
S5. The result that benzaldehyde are not observed in the particle phase suggests that
240
the volatility of carbonyls may not be the factor dominating their particle-phase
241
abundant, as the volatility of benzaldehyde are much lower than formaldehyde (over
242
103 times). The lower Henry’s law coefficients and gas-phase concentrations as well
243
as the larger molecular structures, which are detrimental to the polymerization due to
244
steric-hindrance effect, may account for the undetectable particle-phase concentrations
245
of these four monocarbonyls. In the following section, we analyze the gas-particle
246
partitioning of the six carbonyls detected in both the gas and particle phase.
247 248
Figure 1. Temporal variations of the six carbonyls detected in both the gas (left axis,
249
ppbv) and particle phase (right axis, ng m–3).
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3.2 Measured versus Predicted Partitioning
251
3.2.1 Pankow’s absorptive partitioning
252
The field-derived gas-particle partitioning coefficients ( ) for the six carbonyls
253
are provided in Table 1. The average values of for these six carbonyls are in the
254
f range 10−5−10−3 m3 µg−1, following the order of Kp,
255
f Kp,
256
the first report of simultaneously measured for these six carbonyls in the ambient
257
atmosphere.
258
Table 1 Field-derived for the six carbonyls compared with theoretically predicted
259
values ( $ ) at 283 K (units: m3 µg–1).
formaldehyde ,
Compounds
Chemical
N
Formula
propionaldehyde
f > Kp,
>
f > Kp, acetone . To our knowledge, this is
Average
Range
$
a
methylglyoxal
/ $
Formaldehyde
HCHO
23
1.72×10–4
(0.5–4.8)×10–4
6.18×10–11
2.78×106
Acetaldehyde
CH3CHO
23
1.61×10–4
(0.2–6.7)×10–4
2.95×10–10
5.47×105
CH3COCH3
23
0.71×10–4
(0.06–3.4)×10–4
1.23×10–9
0.58×105
CH3CH3CHO
5
2.05×10–4
(0.9–3.8)×10–4
9.13×10–10
2.25×105
CHOCHO
23
1.44×10–3
(4.6–35.0)×10–4
1.27×10–9
1.13×106
CH3COCHO
23
4.19×10–4
(0.8–18.6)×10–4
2.73×10–9
1.53×105
Acetone Propionaldehyde Glyoxal Methylglyoxal 260
f f Kp, acetaldehyde , Kp,
glyoxal
a
N indicates the number of samples.
261
Table 1 also lists the theoretical Pankow’s absorptive partitioning coefficients
262
( $ ). The $ values are about 105–106 times smaller than their corresponding .
263
We explore the possible influencing factors (activity coefficient, molecular weight,
264
absorbing fraction and temperature) on $ estimation in the Supporting Information.
265
However, the positive deviation from is too large to be explained by these factors. 11
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Therefore, it is most likely that the vapor pressure '() in theoretical equation changed.
267
This is possible, as the measured particle-phase carbonyls include their reversible
268
products (hydrates or oligomers) formed through particle-phase reactions. These
269
products have much lower vapor pressures than their precursors, and return to their
270
original carbonyl monomers during analysis.
271
Actually, unexpectedly high carbonyl partitioning coefficients are well known in
272
laboratory studies,7,13,39 and are also reported in several field measurements.17,19,21 The
273
reported laboratory values ( * ) for glyoxal and methylglyoxal by Healy et al.,13 are
274
(4–7) × 10–5 and (0.7–5.9) × 10–5 m3 µg−1 respectively, which are still more than one
275
magnitude lower than the values in our study as well as other field
276
measurements.17,19 Similarly, laboratory studies by Kroll et al.40 and Healy et al.13
277
indicated that the reactive uptake of small monocarbonyls by aerosols is negligible,
278
whereas abundant monocarbonyls, especially formaldehyde, are detected in our study,
279
and even larger ratios of particle-phase formaldehyde (as high as 0.3) are observed in
280
other field studies.20 These results suggest that the ambient atmosphere may be more
281
favorable for the condensation of carbonyls, and as a result, small carbonyls could
282
remarkably condense into ambient particles.
283
3.2.2 Henry’s law-type partitioning
284
Based on measured concentrations of gas-phase carbonyls, modeled AWC and
285
their respective Henry’s law coefficient, we estimate the theoretical particle-phase
286
concentrations of these six carbonyls (Table 2). The predicted particle-phase
287
concentrations are more than two orders of magnitude lower than the field measured
288
values, indicating that more carbonyls partition into the aerosol phase than expected
289
by the Henry’s law. In a recent study, Sareen et al.34 modeled particle-phase glyoxal
290
and methylglyoxal in the continental U.S. using a regional transport model based on
291
their Henry’s law coefficients. The modeled highest particle-phase concentrations of
292
glyoxal and methylglyoxal are all within 10–3–10–1 ng m–3 and this may significantly
293
underestimate their particle-phase concentrations particularly for methylglyoxal.34 12
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Previous modeling studies also found that just considering the Henry’s law
295
coefficients would lead to several orders of magnitude underestimation on the
296
modeled carbonyl-SOA than that using the surface-limited uptake method.41
297
Therefore, it may be impossible for a model just relying on the existing Henry’s law
298
coefficients to simulate the particle-phase carbonyls accurately. A more suitable
299
method or a modified Henry’s law that considers more parameters to increase its
300
applicability to a wider area are needed to accurately simulate carbonyl concentrations
301
in ambient particles and the abundance of carbonyl-SOA.
302
Table 2 Theoretical carbonyl particle-phase concentrations predicted by their Henry’s
303
law coefficients, and field-derived assuming that all carbonyls enter the particle
304
phase following the Henry’s law. Estimated
c
Henry’s law
Predicted
coefficient a
Cp b
M atm–1
ng m–3
Formaldehyde
1.14×104
5.50×10–3
2.04×108
1.04×107–2.04×108
Acetaldehyde
3.76×101
1.53×10–5
1.98×108
4.60×106–8.48×108
Acetone
7.02×101
5.96×10–5
9.52×107
2.39×106–5.18×108
Propionaldehyde
2.15×101
1.45×10–6
2.81×108
1.62×107–5.65×108
Glyoxal
1.57×106
3.80×10–2
1.66×109
1.80×108–6.21×109
Methylglyoxal
1.31×104
1.21×10–3
5.16×108
1.42×107–2.17×109
Compounds
Average
Range M atm-1
305
a
306
by ISORROPIA-II. c Estimated to match the measured particle-phase carbonyls.
307 308
Calculated from Sander et al.42 at 283 K. b Calculated using average AWC estimated
We provide field-derived effective Henry’s law coefficients ( ) needed to
match the measured particle-phase carbonyls in Table 2. The average values of
309
are in the range 107−109 M atm−1; glyoxal has the largest value, 1.66 × 109 M atm−1,
310
and acetone has the smallest value, 9.52 × 107 M atm−1. It should be noted is that the
311
for glyoxal is approximately three magnitudes larger than the recommended value
312
in pure water,42 while it is comparable to the value suggested by Volkamer et al.8 (4 × 13
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109 M atm–1) to interpret a missing sink of gas-phase glyoxal in field observation and
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the value recommended by Ip et al.15 (>109 M atm–1) measured in sulfate solution.
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The for the other carbonyls are much higher than existing laboratory measured
316
results.42
317
3.3 Salting Effects
318
In terms of a Henry’s law-type partitioning process (solubility is the dominator),
319
the salts concentration is an important factor. An exponentially increased solubility
320
with the salt concentration is known as a “salting in” effect, while the reverse
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(exponentially decreased) is a “salting out” effect. The salting effects can be descried
322
by equation (4):16
log . 323 324 325 326
,# $% / = *$ , *$
(4)
where ,# $% and K 1,2345 are the Henry’s law coefficients of the organic
compound in pure water and in salt solution, respectively, and *$ is the salt concentration in molality. is the salting constant or Setschenow constant. The negative value of indicates a “salting in” effect.
327
Previous studies have shown that sulfate is probably the major factor for the
328
salting effect of dicarbonyls.15,16,43 Figure 2 shows the Setschenow plot log6,# $% /
329
7 of glyoxal and methylglyoxal versus aqueous sulfate concentration ( 8* $ , mol
330
kg−1 AWC) modeled by ISORROPIA-II assuming a metastable system. The slope of
331
the linear regression gives the salting constant. The negative salting constants indicate
332
the “salting in” effects for both glyoxal and methylglyoxal in ambient particles.
333
However, in laboratory studies, it has been found that the formation of
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sulfate-glyoxal-hydrate complexes leads to a “salting in” effect for glyoxal,
335
while—presumably because of its increasing steric hindrance to fit in the ion
336
hydration shell—methylglyoxal presents a “salting out” effect.16,44 This discrepancy
337
implies that the salting effects on the solubility of carbonyls is distinguished between
338
the ambient atmosphere and laboratory conditions, which may be due to the much 14
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more complex composition of the ambient atmosphere and particles. On the one hand,
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the laboratory studies about salting effects are carried out using single compound,
341
while the interactions between different components may play important roles in
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ambient particles. On the other hand, the ionic strength in ambient particles is usually
343
higher than the bulk salt solutions used in the laboratory, e.g. the aqueous sulfate
344
concentration may reach metastable saturation or even supersaturated concentrations
345
in ambient particles. In Figure S7, we show that all the six carbonyls have strong
346
positive exponential relationships with 8* $, and the other four carbonyls show
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similar “salting in” effects, which are also inconsistent with laboratory result.45
348 349
Figure 2. Setschenow plot for glyoxal and methylglyoxal using 1.57 × 106 mol kg–1
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atm−1 and 1.31 × 104 mol kg–1 atm−1 as their Henry’s law coefficients in pure water at
351
283 K assuming unit density for pure water.42
352 353
It is worth noting that the difference in for different carbonyls is smaller
than expected. For example, the for glyoxal is only 5 ± 3 times higher than that
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of methylglyoxal and for formaldehyde and acetaldehyde are very close.
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However, the Henry’s law coefficients for methylglyoxal and acetaldehyde are more
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than two orders of magnitude lower than glyoxal and formaldehyde respectively in
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pure water.42 This indicates that other factors not just their solubility in water
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dominate their partitioning. In this study, the “salting in” effects could partly improve 15
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the theoretical estimated concentrations of particle-phase carbonyls; however, the
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salting effects alone could not close the gap between measurements and predictions.
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The derived salting constant of glyoxal, ,*9:; *, is –0.04 kg mol–1 in this study,
362
indicating much smaller “salting in” than the laboratory values obtained by Kampf et
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al.16 (–0.24 kg mol–1) and Waxman et al.43 (–0.16 kg mol–1). Moreover, the nonzero
364
intercept of linear regressions showing in Figure 2 indicate that even eliminating the
365
effects of salts, the field-derived effective Henry’s law coefficients remain much
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larger than in bulk pure water (102–105 times). Therefore, more mechanical and
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quantitative studies into the roles of salts on the partitioning of carbonyls in both
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laboratory and field are needed, and more importantly, there may be other factors
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dominating their partitioning in the ambient atmosphere.
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3.4 Relative Humidity Dependence
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We choose glyoxal as a reference compound and analyze correlations of for
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these carbonyls. The significant positive correlations of for different carbonyls
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with glyoxal (Figure S8 a–d) suggest that the factors dominating their partitioning
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may be the same or similar. The relatively small difference of values for different
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carbonyls, and the large variations in different samples imply that their partitioning
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processes are significantly influenced by environmental conditions. Two important
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environmental factors that potentially influencing are the RH and the temperature.
378
We investigate the relationship between and temperature, however, no significant
379
correlation is observed, which may be due to the relatively small temperature range
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(smaller than 10 °C) during the observation.
381
We calculate for the five carbonyls at different RH bins, and find that the
382
field-derived has strong dependence on RH (Figure 3). It decreases significantly
383
when RH increases from 0.9). However, it should be noted that the highest RH observed in this study is
431
∼60% (Figure S2); thus, the partitioning behaviors for carbonyls at higher RH need
432
more laboratory and field studies, and the fitting formulas given here also need to be
433
tested at higher RH.
434
3.5 Volatility in Ambient Particles
435
The distribution and volatility of carbonyl species (hydrates or oligomers) in
436
ambient particles are rarely directly determined, as these products easily return to their
437
original forms during analysis. To verify the potential forms of the reversible carbonyl
438
products in ambient particles, we calculate the effective vapor pressures of these
439
carbonyl species based on their measured values using the same assumptions of
440
$ estimation. In this study, the estimated effective vapor pressures are 8.07 × 10–8
441
atm for glyoxal species, and 2.77 × 10–7 atm for methylglyoxal species. These values
442
agree well with the measured volatility behaviors of glyoxal and methylglyoxal
443
precursor/product mix formed under cloud-relevant conditions in the laboratory,52,53
444
where the estimated effective vapor pressures are ∼1 × 10−7 atm for the glyoxal
445
mixture and 6 × 10−7 atm for the methylglyoxal mixture. The estimated values for
446
measured formaldehyde, acetaldehyde, acetone, and propionaldehyde species are 6.76
447
× 10–7 atm, 7.20 × 10–7 atm, 1.63 × 10–6 atm, and 5.66 × 10–7, respectively. To our
448
knowledge, this is the first report on the overall effective vapor pressures of these
449
carbonyl species in ambient particles, and we think that these values represent the real
450
volatility of these reversible carbonyl species during the observation.
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We compare the estimated values with their corresponding hydrates. The
452
estimated values of methylglyoxal species in this study is about two orders of
453
magnitude lower than that of methylglyoxal diols (about 10–5 atm).54 This suggests
454
that products with volatility lower than its diols, such as methylglyoxal oligomers,
455
may exist in ambient particles. Similarly, the estimated values of formaldehyde,
456
acetaldehyde, and acetone species are also more than one magnitude lower than the
457
vapor pressure of their hydrates estimated theoretically (4.47 × 10–6 atm, 8.91 × 10–5
458
atm, and 3.09 × 10–4 atm, respectively).55 The estimated value here is lower than that
459
estimated by Odabasi et al.29 in a suburban area; where the estimated vapor pressure
460
of formaldehyde species agrees well with formaldehyde hydrates. The higher
461
temperature and RH during their observation may be helpful for hydrates formation.
462
Note that carbonyls could incorporate into aerosol phase via reacting with other
463
compounds; thus, it is difficult to estimate the exact content of each form accurately.
464
However, we can confirm that carbonyl species might be dominated by different
465
forms in various conditions, and reversible products with volatility lower than their
466
hydrates, such as oligomers, do exist in ambient particles. This also provides
467
supporting evidence for the RH dependence of in Section 3.4.
468
4 ATMOSPHERIC IMPLICATIONS
469
We simultaneously measured the gas and particle phase concentrations of six
470
carbonyls (formaldehyde, acetaldehyde, acetone, propionaldehyde, glyoxal, and
471
methylglyoxal) at an urban site in Beijing, China, and systemically reported their
472
gas-particle partitioning in the ambient atmosphere for the first time. The
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field-derived gas-particle partitioning coefficients ( ) for these carbonyls are 105–
474
106 times larger than the values predicted by Pankow’s absorptive theory, providing
475
field evidence of the importance of particle-phase reactions. Additionally, as major
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carcinogenic and genotoxic compounds in urban areas, unexpected highly
477
particle-phase carbonyls could increase the exposure to toxicity from inhalation.
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A Henry’s law-type partitioning process alone cannot represent the ambient 20
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gas-particle partitioning of these small carbonyls neither.56 This is reasonable
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considering that aerosol water solution generally represents a concentrated solution,
481
particularly at low-to-moderate RH as in this study, while the application of Henry’s
482
law is usually valid for dilute water droplets such as clouds and fog. The carbonyl
483
oligomers formed in highly concentrated aerosols could be helpful to explain this
484
deviation. This has important implications for model simulations of carbonyl SOA
485
formation in ambient particles. Although the measured particle-phase carbonyls
486
account for only a small proportion of the total particle mass (