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Modeling Photosensitized Secondary Organic Aerosol Formation in Laboratory and Ambient Aerosols William Gang Tsui, Yi Rao, Hai-Lung Dai, and V. Faye McNeill Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.7b01416 • Publication Date (Web): 12 Jun 2017 Downloaded from http://pubs.acs.org on June 14, 2017
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Modeling Photosensitized Secondary Organic Aerosol Formation in Laboratory
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and Ambient Aerosols
3 William G. Tsui,† Yi Rao,‡ Hai-Lung Dai,‡ V. Faye McNeill*,†
4 5 6
†
Department of Chemical Engineering, Columbia University, New York, NY 10027 ‡
Department of Chemistry, Temple University, Philadelphia, PA 19122
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*Corresponding author. E-mail:
[email protected], Telephone: (212)-854-2869
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Abstract
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Photosensitized reactions involving imidazole-2-carboxaldehyde (IC) have been
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experimentally observed to contribute to secondary organic aerosol (SOA) growth.
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However, the extent of photosensitized reactions in ambient aerosols remains poorly
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understood and unaccounted for in atmospheric models. Here we use GAMMA 4.0, a
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photochemical box model that couples gas-phase and aqueous-phase aerosol chemistry,
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along with recent laboratory measurements of the kinetics of IC photochemistry, to analyze
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IC-photosensitized SOA formation in laboratory and ambient settings. Analysis of the
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laboratory results of Aregahegn et al. (2013) suggests that photosensitized production of
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SOA from limonene, isoprene, α-pinene, β-pinene, and toluene by 3IC* occurs at or near
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the surface of the aerosol particle. Reactive uptake coefficients were derived from the
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experimental data using GAMMA 4.0. Simulations of aqueous aerosol SOA formation at
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remote ambient conditions including IC photosensitizer chemistry indicate less than 0.3%
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contribution to SOA growth from direct reactions of 3IC* with limonene, isoprene, α-
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pinene, β-pinene, and toluene, and an enhancement of less than 0.04% of SOA formation
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from other precursors due to the formation of radicals in the bulk aerosol aqueous phase.
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Other, more abundant photosensitizer species, such as humic-like substances (HULIS),
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may contribute more significantly to aqueous aerosol SOA production.
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Introduction
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Aerosols are ubiquitous in the atmosphere and are known to affect human health,
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climate, and visibility. The composition of atmospheric aerosols can vary greatly, with
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organic material and liquid water comprising major fractions of aerosol mass.1,2 Current
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models are unable to accurately predict the amount and composition of organic aerosols
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observed in the atmosphere, largely due to uncertainties surrounding the production of
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secondary organic aerosol (SOA).3–5 SOA formation involves the transfer of organic mass
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from the gas phase to the particle phase, via oxidation of volatile organic compounds
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(VOCs) followed by partitioning into the organic or aqueous condensed phase. Multiphase
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reactions in cloud and aerosol water have recently gained attention as important SOA
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formation pathways.6
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One aqueous SOA formation precursor that has received considerable attention in
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the literature is glyoxal, a gas-phase oxidation product of isoprene, toluene, and other
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biogenic and anthropogenic VOCs. Glyoxal has a high affinity for water and exhibits
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salting-in, which, given the high ionic strength of many aerosol particles, means that the
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uptake of glyoxal to aerosols can be very efficient.7,8 The annual global source of SOA
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from glyoxal has been estimated to be as much as 2.6 Tg a-1.9 This pathway has been
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estimated to contribute 15% of the total ambient SOA in Mexico City.10 Glyoxal undergoes
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both oxidative and non-radical chemistry in the aqueous phase, to form products including
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the nitrogen-containing species imidazole-2-carboxaldehyde (IC).11 Recently, IC was
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identified as a component of ambient aerosols at concentrations up to 3.2 ng/m3.12
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IC absorbs light in the UV/visible range and has recently been shown to participate
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in SOA formation in the role of photosensitizer (Figure 1).13–16
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photosensitizers,17 the triplet excited state of IC (3IC*) can either: (1) reduce O2 to form
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oxidizing radicals such as ·OH and ·HO2, or (2) directly oxidize other organic material.
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Both pathways can contribute to SOA formation.
Like other triplet
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54 55 56 57
Figure 1- SOA formation from photosensitizers and other organic material in photosensitized reactions
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In aerosol flow tube experiments performed by Aregahegn et al., significant SOA
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formation was observed when aerosols containing IC were exposed to isoprene, limonene,
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α-pinene, β-pinene, and toluene in the presence of UV light.14 No particle growth was
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observed in these experiments under dark conditions. Mass spectrometry analysis of SOA
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products showed IC-limonene or limonene-limonene recombination products, as well as
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limonene oxidation products, suggesting that both pathways of SOA formation from 3IC*
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were active.14,15 Additionally, Aregahegn et al. observed that SOA growth was limited
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when oxygen was not present.14
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Detailed laboratory studies using the laser flash photolysis technique have revealed
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additional information about the photophysics of 3IC* and the rates and mechanisms of its
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reactions with O2 and organics in the aqueous phase. Tinel et al. showed the formation of
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3
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al. observed the transient triplet-triplet IC absorption and showed that adding increasingly
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higher concentrations of limonene to an IC solution led to faster decay.15 Our recent work
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characterized the rates of reaction of 3IC* with O2 and isoprene. Mass spectrometry results
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showed IC-isoprene adducts but no oxidized isoprene species, suggesting that pathway (2)
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dominates for the IC-isoprene system.16
IC* under UV radiation and characterized its quenching by I-, Br- and Cl-.13 Rossignol et
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Despite its potential significance, due to a prior lack of mechanistic and kinetic
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information for modeling studies, the extent to which photosensitizer chemistry contributes
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to ambient atmospheric aerosol growth is unclear. Now that mechanisms for the
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photochemical processing of IC and aqueous phase reaction rates of 3IC* with O2 and
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organics are available, a modeling study to estimate aerosol growth from photosensitized
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IC is possible. Here, we use an updated version of GAMMA (Gas-Aerosol Model for
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Mechanism Analysis), a photochemical box model developed by the McNeill group,18 to
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investigate the production of SOA material via photosensitized reactions of IC under both
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experimental and ambient conditions. GAMMA couples detailed gas phase and aqueous
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aerosol phase chemistry, enabling us to simulate experimental and atmospheric conditions
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to predict SOA formation.
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Methods
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Two categories of simulation were carried out in this study: 1) simulation of laboratory
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aerosol growth experiments by Aregahegn et al.14 and 2) simulation of IC photosensitizer
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chemistry under ambient conditions. GAMMA 4.0 was used for all simulations discussed
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in this work.
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GAMMA 4.0
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The McNeill Group photochemical box model of gas and aqueous aerosol
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chemistry and interphase mass transfer, GAMMA, features detailed, coupled gas and
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aerosol/cloudwater aqueous chemistry for organic species.18 Following Schwartz (1986),
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the temporal evolution of the partial pressure of species i in the gas phase (Pi) is given by:
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,
,
∗
,
1
99
where aL is the aerosol liquid (aqueous) volume fraction (cm3 cm-3), Ci is the aerosol-phase
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concentration of species i, Hi* is the effective Henry’s Law constant, rij,gas is the rate of gas
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phase reaction j that species i participates in, and Ei and Di are the emission and deposition
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rates of species i, respectively.19 The gas-aerosol mass transfer coefficient for species i,
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kmt,i, is given by:
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1 ,
3
,
3
4
2
105
where R is the aerosol particle radius, Dg,i is the gas-phase diffusion coefficient, i is the
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thermal velocity, and i is the sticking coefficient.
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The aerosol-phase concentration of species i is described by:
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,
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,
,
∗
3
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where R is the gas constant, T is temperature, and rij,aq is the rate of aqueous-phase reaction
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j for species i.
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Chemical mechanism. The gas and aqueous-phase mechanisms of GAMMA are described
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in McNeill et al. 2012. GAMMA 4.0 includes the gas phase IEPOXOO + NO reaction
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based on Xie et al. (2013),20 and methacrylic acid epoxide (MAE) chemistry following Lin
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et al. (2013).21 Updated Henry's Law constants for GAMMA 4.0 include: H* = 3×107
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M/atm for IEPOX22 and the introduction of salting effects for glyoxal and methylglyoxal.7,8
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We include the possible protonation of IEPOX (aq) by ammonium as observed by Nguyen
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et al. (2014), using a rate of 1.7×10-5 1/s*[NH4+] based on our analysis of their laboratory
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data.22 GAMMA 4.0 includes imidazole photosensitizer chemistry as described in the
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following sections.
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3
IC* chemistry in GAMMA 4.0
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3
IC* chemistry was incorporated using a) an explicit bulk aqueous chemistry approach or
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b) a reactive uptake approach. We note that, although SOA formation is not exclusively an
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aqueous process, IC formation in aerosols occurs via aqueous processes, and therefore 3IC*
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chemistry is likely to take place in the aqueous phase.
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Bulk aqueous chemistry approach. To model the photosensitizer reactions in the
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experimental study of Aregahegn et al.,14 the kinetics and mechanism determined
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experimentally by Li et al. (Table 1) were incorporated into GAMMA.16 The assumption
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that 10% of IC exists in the triplet state at any time is a conservative estimate based on the
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high triplet yield of aromatic ketones.16,17,23,24 The rate constant for isoprene oxidation by
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OH (k4) was measured by Huang et al. (2011).25 This reaction was included previously in
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the original GAMMA mechanism18 but is highlighted here because of its potential role in
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SOA formation by 3IC* and isoprene. The source of ·OH for the reaction with isoprene in
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Table 1 is downstream reactions of the ·HO2 produced by the reaction of 3IC* with oxygen.
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Isoprene, as well as ·OH and ·HO2 generated in-particle were allowed to partition between
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the gas and aerosol phases following Henry’s Law. All other species in the aerosol
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(including succinic acid, IC, organic reactive intermediates and products) were assumed to
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remain in the aqueous phase. IC is assumed to be nonvolatile for these simulations due to
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large uncertainties in its vapor pressure.14,26 Simulations were run for 19 minutes, matching
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the experimental conditions of Aregahegn et al.14
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In a second set of simulations, all conditions were the same as described above, but
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each particle was split into two separate volumes: an outer shell and an inner core. The
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volume of each portion of each particle was determined such that the outer shell contained
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3% of the total IC in the particle, assuming a uniform concentration of IC throughout the
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particle. In these simulations, all IC reactions were restricted to the outer shell, so 97% of
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the IC present in the particles did not undergo any reaction listed in Table 1.
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Each simulation was run twice, with different particle diameters in each simulation.
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The two particle sizes corresponded to the initial and the final diameters of each experiment
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of Aregahegn et al.14 However, accounting for the particle size change yielded differences
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in final SOA growth of less than 0.1%. Therefore, only the results using the initial diameter
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are reported here.
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Table 1- Mechanism and kinetics of photosensitized reactions of IC with isoprene from Li et al. incorporated into GAMMA16 Reaction Kinetics 3 10% of IC is converted to 3IC* IC IC* 3 k1 = 2.7 × 109/M/s IC* + isop isop* + IC 3 Assume 50/50 branching IC* + isop isop-IC k2 = 3.0 × 109/M/s isop + isop* isop-isop 3 k3 = 3.1 × 109/M/s IC* + O2 HO2 k4 = 1.4 × 1010/M/s OH + isop isop-OH
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Reactive uptake simulations. In another set of GAMMA simulations, a reactive
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uptake formulation was used for each of the VOCs (limonene, isoprene, α-pinene, β-pinene,
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and toluene) considered by Aregahegn et al., instead of Henry’s Law uptake and bulk
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aqueous-phase reaction.14 If a species is selected for surface reactive uptake, the following
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equation replaces equation (1):
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.
,
Where 1
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,
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5
1 ,
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4
,
with
,
4
3
1
0.38 1
6
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Here, i is the reactive uptake coefficient, Sa is the aerosol surface area (cm3 cm-2), and Kn
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is the Knudsen number (Kn =R/, where is the mean free path of air).
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The aerosol growth due to these processes can be determined from the reactive
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uptake coefficient due to the equivalence between the VOC uptake rate and the SOA
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formation rate. In simulations performed under the conditions of the Aregahegn et al.
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laboratory study, the reactive uptake coefficient was adjusted for each VOC until the
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GAMMA results matched the experimentally observed SOA growth.14 The reactive uptake
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coefficient was then adjusted for ambient conditions using the following relations:27
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1
1
177
7
1⁄
coth
4 where
8
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In the above equations, Dl is the liquid phase diffusivity, l is the diffuso-reactive
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length, α is the mass accommodation coefficient, ω is the mean molecular velocity, H is
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the effective Henry’s Law coefficient, R is the gas constant, T is the temperature, and r is
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the radius of the particle. Using the reactions that consume aqueous phase isoprene in
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Table 1, kI , the pseudo-first order loss rate constant for the VOC, can be expressed as
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∗
∗
∙
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Isop* (aq) and ·OH (aq) are short-lived species whose concentrations are negligible
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compared to that of 3IC*. Thus, Equation (9) can be approximated as
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∗
10
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Changes in kI due to variations in [3IC*] are the primary reason scaling of for ambient
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conditions is necessary.
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Conditions for simulation of experiments. The experimental conditions used by
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Aregahegn et al. for aerosols containing IC, ammonium sulfate, and succinic acid were
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simulated in GAMMA.14 The initial aerosol composition was determined by using the ratio
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of bulk concentrations of ammonium sulfate and succinic acid used by Aregahegn et al.
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prior to atomizing and the relative humidity in E-AIM, a thermodynamic model which can
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be used for calculating equilibria for aerosol systems with partitioning.14,28 IC
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concentrations were scaled from the bulk solution to the aerosol with the calculated
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succinic acid concentrations from E-AIM. The aerosol density was determined using
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empirical relationships from Hyvarinen et al.29 These parameters were input into GAMMA
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as initial conditions. For these experimental conditions, there are no emissions or
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depositions so Ei and Di are both set to zero. Initial concentrations of all species except IC,
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ammonium sulfate, the VOCs, succinic acid, water, O2, and H+ were set to zero.
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Ambient aerosol simulations. Ambient calculations for SOA growth were run based on
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the results of laboratory simulations using reactive uptake of VOCs. Unlike the
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experimental simulations where only one VOC was present, the ambient simulations
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simultaneously consider 3IC* induced SOA growth due to isoprene, toluene, limonene,
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isoprene, α-pinene, and β-pinene, in addition to the SOA pathways originally represented
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in GAMMA (aqueous aerosol SOA formation by oxidation products of isoprene, acetylene,
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toluene, cresol, and xylenes).18 The initial concentrations of species in both the gas and
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aerosol phase are based on concentrations typically observed in the atmosphere (see
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Supplementary Material). IC concentrations were based on the observations of Teich et
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al.12 The aerosol pH was set constant to 1, 2, 3, or 4 for each simulation. The relative
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humidity was also assumed to be constant at 45% for each simulation. Reactive uptake
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coefficients determined from the experimental aerosol simulations were scaled down based
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on Equations (7) and (8) due to the difference in concentrations of IC used by Aregahegn
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et al. and observed in ambient conditions, as discussed above.14 A constant reactive uptake
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coefficient, based on the initial condition of IC, was assumed, providing an upper bound
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estimate of the SOA production from 3IC*-VOC reactions. The production of HO2 in the
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aerosol bulk by 3IC* was simulated based on Reaction 3 (Table 1), so that the contribution
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of this pathway to SOA formation from aqueous-phase precursors other than isoprene,
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toluene, limonene, isoprene, α-pinene, and β-pinene could be evaluated. The aerosol
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density was assumed to be constant throughout the simulation.
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Results and Discussion
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GAMMA simulations of bulk aerosol reactions under experimental conditions. The
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first set of simulations used GAMMA 4.0 with the bulk 3IC* mechanism to simulate SOA
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growth using experimental conditions of the isoprene-IC experiments of Aregahegn et al.
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and the mechanism from Li et al. (Table 1).14,16 The results, shown in Table 2, indicate that
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these simulations greatly overestimate the amount of SOA formation as observed
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experimentally. Additionally, this set of simulations also indicates that over 99% of the IC
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in the system reacts within the 19-minute simulation. In these simulations, SOA formation
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was largely insensitive to the assumed percentage of IC in the excited triplet state; for 3IC*
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varying between 1% and 100% of the total IC, the calculated SOA formation varied less
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than 0.4%. Predicted SOA formation also changed by less than 0.2% when the assumed in-
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particle concentration of O2 was varied over six orders of magnitude. Since nearly all of
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the IC reacts, the simulation results correspond to an upper bound for SOA growth due to
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IC, as IC is limiting for this scenario. This suggests that not all of the 3IC* in the aerosols
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used by Aregahegn et al. participates in the reactions shown in Table 1 (note that we assume
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that only 10% of available IC is in the excited state for the base case, following Li et al.).16
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For the shell simulations, in which only 3% of the total 3IC* is available for reaction, SOA
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growth is consistent with particle growth observed by Aregahegn et al.14
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Table 2- Comparison of predicted SOA growth from GAMMA simulations of experiments of Aregahegn et al. to experimentally observed SOA growth for isoprene14 GAMMA simulation Predicted SOA growth Ratio of predicted growth from GAMMA (ng/m3 air) from GAMMA to experiment (Aregahegn et al. 2013) Bulk 1.9 34 3% Shell 0.05 1.0
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We therefore consider possible diffusion limitations in this system by calculating a diffuso-
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reactive length for incoming VOC molecules, defined as
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where Dl is the liquid-phase diffusivity and kI is the pseudo-first order loss rate constant
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(eq 10).27 We calculate l < 1 nm for the experimental conditions of Aregahegn et al.,
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significantly less than 24.8 nm, the radius of the particles used in the experiments.14 Thus,
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isoprene is not expected to diffuse far into the particle before reacting, suggesting that the
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photosensitizer reaction occurs at or near the surface of the particle. Consequently, only
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3
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simulations. Although 3IC* can also react with O2 in the bulk of the aerosol to form
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radicals, the reaction of radicals with isoprene is still limited to the surface or near the
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surface due to the rapid reaction between isoprene and 3IC*. Thus, despite possible
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reactivity of IC throughout the entire aerosol, this contribution to SOA mass in the
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experimental scenario only occurs at or near the surface.
IC* near the surface will react with isoprene, as predicted by the previous GAMMA
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GAMMA simulations of reactive uptake of VOCs. As an alternative approach, a reactive
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uptake formulation was used to model SOA growth in the experiments of Aregahegn et al.
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(see the Methods section for details). The reactive uptake coefficient quantifies the
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probability of irreversible reaction upon collision between a gas phase molecule and the
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aerosol particle and inherently includes uptake into the particle and reaction. Reactive
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uptake coefficients consistent with the experimental data of Aregahegn et al. were
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determined for each VOC using GAMMA, shown in Table 3.14 As expected, VOCs that
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form SOA more efficiently have higher reactive uptake coefficients.
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Table 3- Calculated reactive uptake coefficients for experiments of Aregahegn et al.14 Aregahegn et al. (2013) Using GAMMA VOC VOC concentration Diameter Reactive uptake (ppm) growth factor coefficient Limonene 1.8 27.6% 3.1 × 10-5 Isoprene 4 3.13% 1.4 × 10-6 α-pinene 63 19.35% 4.9 × 10-7 β-pinene 63 16.5% 3.9 × 10-7 Toluene 352 3.5% 1.3 × 10-8
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Ambient aerosol GAMMA simulations. The reactive uptake coefficients which were
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successfully determined from experimental data were scaled for ambient aerosol
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calculations using Equations (7) and (10). Some uncertainty exists in the appropriate value
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for the mass accommodation coefficient, , for organic gas molecules, with reported values
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ranging from ~10-4<