Freshly formed cloud droplets produce a burst of highly reactive radicals, which increases their importance in the climate system.
Abstract
Aerosol particles and their interactions with clouds are one of the most uncertain aspects of the climate system. Aerosol processing by clouds contributes to this uncertainty, altering size distributions, chemical composition, and radiative properties. Many changes are limited by the availability of hydroxyl radicals in the droplets. We suggest an unrecognized potentially substantial source of OH formation in cloud droplets. During the first few minutes following cloud droplet formation, the material in aerosols produces a near-UV light–dependent burst of hydroxyl radicals, resulting in concentrations of 0.1 to 3.5 micromolar aqueous OH ([OH]aq). The source of this burst is previously unrecognized chemistry between iron(II) and peracids. The contribution of the “OH burst” to total OH in droplets varies widely, but it ranges up to a factor of 5 larger than previously known sources. Thus, this new process will substantially enhance the impact of clouds on aerosol properties.
INTRODUCTION
Aerosols, fog, and clouds have major direct and indirect roles in both climate and air quality. Organic aerosols make up the largest fraction of aerosol mass, with more than half coming from secondary sources (1). They remain a significant source of uncertainty, as their mass fractions and degree of oxidation are significantly underpredicted by current models (2). Chemistry in cloud water, driven by hydroxyl radicals, is well known to contribute to the production of secondary organic aerosol (SOA), substantially increasing aerosol mass concentrations and changing aerosol size distributions and other properties of the aerosol once the cloud reevaporates (3–7). Aqueous OH radicals in cloud droplets are a key but uncertain species in determining global sulfate production and resulting direct and indirect radiative effects (8–11). OH mediates aqueous oxidation of key climate-relevant gases such as methane sulfonic acid and dimethlyl sulfoxide, intermediate products from dimethlysulfide (DMS) oxidation (9). Globally, DMS has been estimated to contribute around 16% of sulfate, 18% of sulfate direct radiative forcing, and more than half of the incremental indirect radiative forcing because it is emitted into the clean marine background (10). Recently, Chen et al. (11) concluded that aqueous OH concentrations are the largest source of uncertainty in the process (11).
Several sources of OH in cloud and fog drops have been discussed extensively in the literature. (i) Uptake of OH from the gas phase is a process that is thought to be the dominant source of OH radicals in drops under many conditions. For a globally averaged gas-phase OH concentration ([OH]g) of 1.1 × 106 molecules cm−3 (12), this suggests a (maximum) rate of ~2 × 10−9 M s−1 for a 10-μm-diameter droplet (section S1), although [OH]g varies by a factor of ~100 throughout the diurnal cycle (13). Chemical sources within the drops can provide additional OH radicals. These sources include (ii) the breakdown of hydrogen peroxide (H2O2) catalyzed by transition metals, primarily iron (the Fenton reaction, R1)
(R1) |
(iii) the “photo-Fenton” reaction, in which reaction R1 is promoted by the rapid photoreduction of Fe(III) to Fe(II), followed by the Fenton reaction (14); and direct photolysis of (iv) H2O2 (15), (v) iron hydroxides (16), (vi) nitrate (15), and (vii) nitrite (15).
Several studies have explored OH formation from authentic cloud water samples transported to a laboratory and exposed to simulated sunlight and have found overall production rates of (0.03 to 3) × 10−10 M s−1 during the first 2 hours (17, 18), i.e., significantly slower than the abovementioned OH uptake from the gas phase. No measurable activity in the absence of light was found in these experiments. Instead of investigating the formation of hydroxyl radicals in authentic cloud water, we simulate chemistry in newly formed cloud/fog droplets by adding water to ambient aerosol samples at aerosol/water (dilution) ratios in the range of cloud droplets, usually within 2 hours of their collection. We then illuminate the samples and quantify [OH]aq formation in the solutions.
RESULTS
When particles are first diluted with water and illuminated with near–ultraviolet (UV) light, a large spike of OH production is observed (Fig. 1A). Stored samples have lower activity than they did when they were fresh, registering about 50 ± 40% of the initial burst (see also Fig. 1A), indicating a limited lifetime of the OH precursors. OH formation was not detected in dark conditions, which suggests a process driven by UV light. Figure 1A shows the evolution of OH formation for the first 60 to 120 min of extraction for four fresh and three stored samples from Fresno, Claremont, and West Los Angeles. Each measurement was made by exposing the sample to 9 s of 315- to 325-nm light, recording a measurement, and repeating twice in rapid succession for a total of 27 s of light exposure. In all cases, the three measurements were not significantly different from one another, indicating that the initial 9 s of light (comparable to the solar flux, as discussed in section S3) was sufficient to photolyze all available OH-producing chromophores. The rapid increase stops abruptly after 2 to 3 min and is followed by a slower, usually linear phase of OH formation. The slower phase of OH production is in the range expected from processes (ii) to (vii) above and is not explored further here. Our kinetic data do not have sufficient time resolution to determine the initial rate of OH formation well, but the rate of formation of OH radicals in the initial burst has a lower limit of ~1 × 10−9 to 30 × 10−9 M s−1, rates that produce ~0.1 to 3.6 μM OH in 2 min (Fig. 1B and see also section S3).
Figure 1B shows interquartile plots of OH formation rates for the initial burst of OH radicals for the Claremont and Fresno samples for morning, afternoon, and overnight, analyzed immediately after collection. These sites were chosen for their different source characteristics (see Methods) and imply that the ability of particles to produce an OH burst will be widespread across many urban and rural atmospheric conditions. The initial burst of OH production produced an average of 0.51 ± 0.4 and 1.6 ± 1.3 μM OH for Claremont and Fresno, respectively, with maxima up to 3.5 μM OH. The high levels of activity observed in the overnight and, to a lesser degree, morning samples collected in Fresno appear to be associated with the substantial contribution of biomass burning aerosol (section S1) and/or accumulation of photolabile OH precursors. Humic-like substances often associated with biomass burning have been shown to increase reaction rates of Fe(II) redox reactions, leading to OH production, including R1 and the reduction of molecular oxygen
(R2) |
by factors of 200 or more (19), supporting our observation that nighttime samples show higher OH production. OH formation for other samples was reasonably well correlated to mass. Mass-normalized OH formation is very weakly negatively correlated to the concentration (i.e., positively correlated with the dilution factor) for some samples, with no correlation for others (figs. S3 and S4). This relative lack of concentration dependence implies that a reasonable representation of the short-lived burst of the process might be added to models without detailed consideration of particle/droplet dimensions.
Source of hydroxyl radical burst
The hydroxyl radical burst is not explained by known pathways to OH formation in cloud drops [processes (i) to (vii) above], as their kinetics are all about one to three orders of magnitude too slow. In laboratory air, OH and H2O2 are low and thus cannot explain the observed OH levels. H2O2 measured in the aerosol extraction solutions was also low, i.e., below 2 nM at reaction times of a few minutes, which is the time scale of the observed OH burst (section S5).
We can produce very similar behavior to that observed in the field samples from mixtures of peracetic acid (PAA) and Fe(II) illuminated with near-UV light (Fig. 2A). The reaction of PAA results in a rapid burst of OH production within the first minute in both light and dark; exposure to 320-nm light approximately doubles the magnitude of the initial burst. This phenomenon requires both PAA and Fe(II) in the solution: OH formation in the dark is below our detection limit (~20 nM) in blank experiments at pH 3.5, which omit PAA, Fe(II), or both. Corresponding blank experiments in the light show only slightly higher OH formation with a small intercept (usually 65 to 90 nM), followed by a slow, small linear increase, the largest of which is for Fe(II) solutions consisting of only Fe(II) and the OH probe in pH 3.5 solution. This was used as the blank for the data shown in Fig. 2A. In the dark and at 1:1 μM Fe:PAA, OH formation is approximately stoichiometric (Fig. 2A); 1 μM OH is formed from Fe(II) and PAA each at 1 μM.
The detailed reaction mechanism of OH formation in the dark Fe-PAA reaction is unknown, but it is likely analogous to the Fenton reaction (R1), where PAA replaces H2O2
(R3) |
The analogous reaction for R3 between free Fe(II) and H2O2 (R1) is fairly slow [55 M−1; (20)]; however, several studies have shown enhancements to this rate by several orders of magnitude (2 to 3+) due to iron chelators (19, 21) and aqueous surface reactions (22). Because our experiments were performed by adding water to particles on a filter, surface reactions are not likely to play a major role; their role in cloud droplets is unknown.
We have carefully considered if the terephthalate probe for OH might respond to other reaction products than OH in this system, and find it very unlikely (section S7). The OH formation is dependent on Fe(II) and PAA concentrations, but at high PAA concentrations, OH formation yield decreases, suggesting that iron-organic complexes may form at higher concentrations that lower OH reaction yields (section S8). However, substantially higher OH yields for UV exposure conditions (compared to dark) are maintained for all investigated Fe(II)/PAA concentration ratios (fig. S6). The concentration-dependent behavior is generally consistent with the observed weak relationship between OH formation, with increasing dilution for some of the field samples (fig. S4).
The higher OH yield in the presence of UV light might be due to a photo-Fenton–like reaction (R4), where Fe(III) and organic ligands, such as acetate, which is a product of the initial Fenton-like reaction (R3), form a complex leading to the reduction of Fe and the formation of an organic radical that will form OH.
(R4) |
We also tested t-butyl hydroperoxide; this does not generate an OH burst, suggesting that only a subset of organic peroxides contributes to the observed burst in field samples.
Figure 2B shows 240- to 420-nm absorption spectra for Fe(II), Fe(III), PAA, and mixtures of PAA and Fe(II) in concentrations between 3 and 5 μM, in pH 3.5 solution. All spectra were measured at 2 ± 0.5 min after mixing in the dark. Consistent with earlier studies, PAA and Fe(II) have weak absorptions in the region, while Fe(III) absorptions are much stronger (23, 24). Subtraction of the Fe(III) spectrum from the Fe(II)/PAA mixture shows that the two are not differentiable, and indicates rapid conversion of Fe(II) to Fe(III) in the presence of PAA, consistent with the fast OH production in Fig. 2A and reaction R3. This very rapid reaction between Fe(II) and PAA is a previously unknown reaction.
DISCUSSION
We therefore hypothesize that the large OH “burst” observed in our ambient samples is derived from organic peroxide decomposition in the presence of Fe(II) and potentially other transition metals during simulated cloud formation. Hydroperoxides, peracids, and other organic peroxides are ubiquitous and abundant components of SOAs, as summarized in table S1. Furthermore, there is laboratory evidence linking SOA-derived material to hydroxyl radical formation in aerosols and clouds. The recent work of Tong et al. (25, 26) demonstrated an important role for Fenton-like reactions in generating OH from SOA solutions. Metal-free routes including SOA photolysis (27) and thermal decomposition (25) also produce OH with lower efficiency.
In each case, these studies have implicated organic peroxide decomposition in OH formation and suggested that only a small fraction of total SOA material participates in OH formation. This is consistent with our direct observations that OH forms efficiently for some, but not all, organic peroxides, and our laboratory experiments indicate that peracids might be especially important for this efficient OH formation. Furthermore, we estimate that organic peroxide concentrations in our ambient aerosol samples may be in the range of 10 to 100 μM following simulated cloud formation (section S9). Together, this represents considerable potential for OH production and may explain the ubiquity of the OH burst (up to 3.5 μM) in our ambient samples across different sites, seasons, and times of day.
Our observations of a rapid burst in OH formation following simulated cloud formation (when particles sampled in the field are mixed in bulk with small quantities of water) also suggest that aerosols contain a reservoir of unreacted or possibly quickly replenished precursor species. Given the chemically distinct environments of clouds (the focus here) and aerosols in terms of solute concentrations, ionic strength, and viscosity, it is certainly plausible that decomposition of organic peroxides occurs more readily in simulated cloud conditions than aerosols. In particular, highly viscous or poorly mixed aerosols would impede bimolecular Fenton-like reactions or other routes to OH production. There is some evidence that related chemistry may happen at least at the surface of particles; Wu et al. (28) found evidence of a chemical sink for PAA as it was taken up on ambient aerosols. PAA can be present at sufficiently high concentrations [up to 1 part per billion (ppb) (29, 30)] and has a sufficiently high Henry’s law constant [837 M atm−1 (31)] that partitioning into cloud water, coupled with the very rapid reaction found here, may represent a major source of OH (separate from the particle-based source described here) in ambient cloud droplets.
Importance of the OH burst
Figure 3 shows how the cumulative OH(aq) concentration expected from other multiphase processes compares to the bursts observed in this study for typical cloud droplet lifetimes of up to 10 to 15 min (see section S10). The average [OH(aq)] observed in both Fresno and Claremont bursts exceeds that expected from all conventional aqueous phase processes [(ii) to (vii) in Introduction] based on previous measurements in authentic cloud and fog water samples. Uptake of hydroxyl radicals from the gas phase is generally thought to proceed at a rate exceeding conventional aqueous production, and Fig. 3 shows estimated uptake rates from three coupled cloud chemistry models containing detailed gas- and condensed-phase chemistry. The cumulative [OH(aq)] produced by the burst is generally comparable to these uptake estimates but, in some cases, exceeds all other OH formation processes in the droplet by up to a factor of 3 to 4 even after 10 min. This suggests that the newly identified burst process represents a major and usually dominant source of OH(aq) in cloud droplets.
The Henry’s law equilibrium concentration of OH near the surface is ~10−12 M. Because the concentrations of OH formed in the burst are much higher than the Henry’s law equilibrium concentration, it raises the question of escape from the particle to the gas phase. As discussed in section S11, the overwhelming majority of OH formed in the burst will be consumed by organics in the droplets and will not escape.
The comparison of all major known OH formation processes in droplets shown in Fig. 3 demonstrates that the newly discovered fast metal complex–mediated formation of OH described here could be significantly improve understanding of major uncertainties of important climate-relevant atmospheric droplet processes, such as particle oxidation and aging, DMS oxidation, or cloud condensation nuclei activity.
METHODS
Materials
All chemicals were purchased from Sigma-Aldrich at the highest purities available and were used as received. Water was at least 18 megaohms. Glass and Teflon containers were washed and soaked in acid baths extensively, as described by Kuang et al. (32).
Sample collection and extraction
The collection and analysis methods are described in more detail by Kuang et al. (32) and are described only briefly here. PM2.5 or PM4 was collected on 47-mm Teflon filters (Pall Inc.) in sets of five, plus matched field blanks at three urban locations in California: Claremont, an urban/receptor site in southern California, during summer when SOA peaks; Fresno, during winter when biomass burning aerosol makes a substantial contribution to particulate matter (PM), especially at night and in the morning; and West Los Angeles, a relatively clean urban site about 8 km from the Pacific Ocean. All samples were collected from rooftops of tall campus buildings, away from direct sources. Collection times at Claremont and Fresno were 6 to 7 hours for mornings and afternoons and 13 hours for the overnight samples and were 6 to 24 hours for the West Los Angeles site. West Los Angeles samples were collected as needed to test hypotheses. The numbers of samples were 16, 16, and 17 for Claremont and 20, 22, and 18 for Fresno morning, afternoon, and overnight, respectively. Field blanks were handled in an identical manner as the samples, including loading the blank filters into the filter holders and turning on the pump for 30 s. Some analyses were performed on site, and others on filters stored for up to several years in a freezer at −4°C.
Filters were equilibrated at 30 to 70% relative humidity in room air and were cut in half with a ceramic blade and extracted in 4 ml of 18-megaohm water adjusted to pH 3.5 with sulfuric acid. For OH measurements, the extraction solution also contained 10 mM terephthalate. Assuming an average particle density of 1.3 g/cm3, this corresponds to volume/volume dilution factors of (26 ± 3.4 and 24 ± 9) × 103 for Claremont and Fresno, respectively (range, 4700 to 180,000); Fresno ambient mass concentrations were much more variable than those at Claremont. These dilution factors fall in the range for cloud drops (33). A dilution of 25,000 (v/v) corresponds to a 0.4-μm-diameter particle growing to an 11.5-μm-diameter cloud drop.
Cumulative [OH] in the fresh field samples was measured every 20 min for 2 hours. Because the slope after the first 1 to 3 min is small compared to the initial burst (Fig. 1), the intercept of the 20-min resolution data corresponds to the OH formed in the initial burst.
Cumulative time-dependent OHaq formation was quantified using terephthalate as a probe (34). Terephthalate reacts with OHaq to form a fluorescent product, 2-hydroxyterephthalic acid (hTA), which is detected at λex/λem 320/420 (10 nm half-maximum) in a fluorescence cuvette in a stand-alone fluorometer (Lumina, Thermo Fisher Scientific) or also after separation with a C-18 column in a high-performance liquid chromatograph (HPLC) with a fluorescence detector (Shimadzu). The fluorometer exposes the sample to 9 s of light before each 10-ms measurement, while the HPLC records OHaq formation independent of light. hTA calibration curves were generated separately for each instrument daily. Diluted aerosol samples had negligible interference from native fluorescence at 320/420, and filter blanks extracted in the same manner as samples had low or nondetectable OHaq formation; all reported data have been field blank–corrected.
For the light experiments, we exposed ambient samples to 315- to 325-nm (peak width at half-maximum) light in increments of 9 s (equivalent to about 1.8 × 1016 photons; section S2). The photon flux was 2 × 1015 photons cm−2 nm−1 s−1 (measured as described in the Supplementary Materials), i.e., 1.8 × 1016 photons per exposure, delivered to a 150-μl sample in a fluorescence microcell with a 2 × 5 mm2 window and 1-cm pathlength (Hellma). Quantification of aqueous H2O2 was performed using an HPLC as described by Arellanes et al. (35) and in the Supplementary Materials.
Supplementary Material
Acknowledgments
We wish to acknowledge helpful discussions with P. Griffiths and S. Boss (University of Cambridge) and A. Spokoyny [University of California at Los Angeles (UCLA)] and assistance with some measurements from UCLA graduate student J. A. Scott, visiting scholar P. Mukherjee, and visiting undergraduate D. Diaz. Funding: Support for this research was provided by the NSF under grant no. 443956-PA-22671. Author contributions: S.E.P. conceived the study, interpreted most of the data, wrote most of the manuscript, and performed many of the data analyses. X.M.K. and D.H.G. performed most of the field measurements, and X.M.K. analyzed the field data. J.R.C. and X.M.K. performed most of the laboratory measurements. P.J.G. and M.K. contributed to writing the manuscript and interpretation of the results. Competing interests: The authors declare that they have no competing interests. Data and materials availability: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials. Additional data related to this paper may be requested from the authors.
SUPPLEMENTARY MATERIALS
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