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Published in final edited form as: Nat Chem. 2018 Feb 26;10(4):462–468. doi: 10.1038/s41557-018-0002-2

Chemical evolution of atmospheric organic carbon over multiple generations of oxidation

Gabriel Isaacman-VanWertz 1,2, Paola Massoli 3, Rachel O’Brien 1, Christopher Lim 1, Jonathan P Franklin 1, Joshua A Moss 1, James F Hunter 1, John B Nowak 3,#, Manjula R Canagaratna 3, Pawel K Misztal 4, Caleb Arata 4, Joseph R Roscioli 3, Scott T Herndon 3, Timothy B Onasch 3, Andrew T Lambe 3, John T Jayne 3, Luping Su 5, Daniel A Knopf 5, Allen H Goldstein 4, Douglas R Worsnop 3, Jesse H Kroll 1
PMCID: PMC6431740  NIHMSID: NIHMS1014456  PMID: 29483638

Abstract

The evolution of atmospheric organic carbon (OC) as it undergoes oxidation has a controlling influence on concentrations of key atmospheric species, including particulate matter, ozone, and oxidants. However, full characterization of OC over hours to days of atmospheric processing has been stymied by its extreme chemical complexity. Here we study the multigenerational oxidation of α-pinene in the laboratory, characterizing products with several state-of-the-art analytical techniques. While quantification of some early-generation products remains elusive, full carbon closure is achieved (within measurement uncertainty) by the end of the experiments. These results provide new insights into the effects of oxidation on OC properties (volatility, oxidation state, and reactivity) and the atmospheric lifecycle of OC. Following an initial period characterized by functionalization reactions and particle growth, fragmentation reactions dominate, forming smaller species. After approximately one day of atmospheric aging, most carbon is sequestered in two long-lived reservoirs, volatile oxidized gases and low-volatility particulate matter.

Graphical Abstract

graphic file with name nihms-1014456-f0001.jpg

Table of Contents Summary:We quantify and characterize nearly all organic carbon in a highly complex evolving atmospheric system: the multi-generational oxidation of a-pinene. We observe that initial addition of functional groups quickly gives way to fragmentation reactions, with organic carbon ultimately becoming sequestered in chemically-resistant reservoirs: organic aerosol and long-lived gas-phase species.


Organic compounds play a central role in the chemistry of the atmosphere, by contributing to ozone formation,1,2 serving as the primary sink for oxidants in the atmosphere,3,4 and constituting a substantial fraction of global submicron particulate matter.5,6 Organic carbon (OC) enters the atmosphere primarily as high-volatility gases. Oxidation of these compounds yields a large number of products, including organic species in the gas phase (gas-phase OC, gOC), organic species in the condensed phase (particle-phase OC, pOC), and inorganic carbon-containing species (CO and CO2). All of these products (other than CO2) may themselves undergo further oxidation, continuing this process over multiple generations to produce a highly complex, chemically dynamic mixture of compounds that spans a wide range in chemical composition and properties (e.g., volatility).711 Oxidation continues until OC is either converted to CO2, or removed from the atmosphere through deposition to the Earth’s surface, thereby transporting a wide range of organic compounds into other components of the Earth system. Our ability to track the oxidative evolution of OC over its entire atmospheric lifetime therefore controls not only our ability to understand critical issues in air quality and atmospheric chemistry, but ultimately to understand the impacts of organic emissions on human health, ecosystems, and Earth’s climate.

The comprehensive measurement of all oxidation products from a given chemical system has been elusive due to the analytical challenges associated with detecting, characterizing, and quantifying compounds within complex organic mixtures. Only studies of the simplest organic compounds have achieved “carbon closure,” fully characterizing the product mixture throughout oxidation.12 For larger species, a large fraction of the products has remained unmeasured and/or uncharacterized, even in the early stages of reaction (first 1–2 generations of oxidation).13,14 As a result, there is substantial uncertainty as to the fate and impact of OC over timescales longer than several hours after emission. For example, the possibility of substantial unmeasured “pools” of OC has major implications for the formation of particle-phase mass through the gas-to-particle partitioning of condensable gases. It has traditionally been assumed that such unmeasured carbon will not condense to contribute to particle-phase mass. However, if instead unmeasured carbon in laboratory experiments is irreversibly lost to chamber walls via vapor deposition15 or reacts over multiple generations to form lower-volatility gases,9,16 then formation of pOC from many precursors may be substantially higher than currently estimated. The properties and reactivity of organic oxidation products formed over multiple generations will also impact ozone production, removal pathways (e.g. wet and dry deposition) of pollutants, and reactivity and cycling of oxidants. A quantitative, predictive description of these processes across spatial scales therefore relies critically on the measurement of the chemistry of such species, and more generally on our ability to measure and track all OC in a reactive system.

Here, we apply recent advances in analytical instrumentation to characterize the full mixture of products formed in hydrocarbon oxidation with the goal of achieving carbon closure, enabling a more complete understanding of the chemical properties and transformation processes of atmospheric OC. We access the entire range of expected chemical properties of suspended products17 with an array of state-of-the-art analytical instruments: an aerosol mass spectrometer18 (TD-AMS) and scanning mobility particle sizer (SMPS) to measure pOC with volatility resolution, a proton transfer reaction mass spectrometer19,20 (PTR-MS) and two chemical ionization mass spectrometers21 (I CIMS and NO3 CIMS2225) to measure gOC, and two tunable infrared laser differential absorption spectrometers (TILDAS) to measure C1 compounds (CO, formaldehyde, and formic acid). We combine the data from these instruments to present a unified, time-resolved description of the chemical composition of two oxidation systems: initial oxidation of α-pinene (a monoterpene) through photooxidation by hydroxyl radicals (OH) in the presence of NO, and ozonolysis in the absence of NO, followed in both cases by continued high-NO OH oxidation. All experiments were performed at 20 °C and low relative humidity (<5%); see Methods and Supplementary Sect. 1 for details on reaction conditions and instrument operation, calibration, and uncertainty. These systems were chosen because their initial chemistry has been subject to extensive theoretical and experimental characterization,2628 but the subsequent multi-generational oxidation (“aging”) of the reaction mixture (particularly gOC) has received substantially less study.29 By the end of the experiments, all carbon is measured to within experimental uncertainties, enabling a coherent and detailed picture of the chemical evolution of the product mixture, and providing new insights into the lifecycle and fate of atmospheric OC.

Results

Carbon closure

All products measured in the OH-initiated oxidation of α-pinene are shown in Fig. 1. Results are qualitatively similar to those in the ozonolysis experiment, so ozonolysis results are given in Supplementary Sect. 5. Initial reaction of α-pinene is immediately accompanied by a concomitant rise in in both gOC and pOC oxidation products. Particle-phase OC is formed in the first generations of oxidation, with only minor additional formation after the α-pinene is fully consumed, and accounts for 14±3% of the total carbon by the end of the experiment (~24 hours of equivalent daytime atmospheric oxidation). We focus our characterization of pOC on average chemical properties and volatility distributions, providing an ensemble description of the aerosol, while composition of gOC is characterized by individual species. Identified gas-phase products are CO, formaldehyde, formic acid, acetic acid, acetone, and pinonaldehyde. Concentrations of each identified product vary over the course of the experiment, but in total account for 41±5% of the carbon by the end. CO2 is not measured here but is expected to be similar in concentration to CO (~4%).30

Figure 1.

Figure 1.

Measured carbon in the photooxidation of α-pinene, characterized by molecular formula. Each product ion of α-pinene (dark gray) is colored by the instrument by which it was measured (green: AMS/SMPS, purple: PTR-MS, light gray: TILDAS, orange: I CIMS). Unlabeled species measured by TILDAS are formic acid and formaldehyde. Uncertainty range for each instrument shown on right. Carbon closure is achieved within measurement uncertainty (102±20%) with expected carbon in the system (light gray dashed line at ~550 ppbC, which accounts for dilution of the precursor), providing an unprecedented opportunity to study the complete chemical evolution of atmospheric oxidation processes. All concentrations are corrected for dilution; pOC is also corrected for particle deposition to the chamber walls. Bottom panel: modeled OH concentration (red line) and approximate photochemical age in the atmosphere (blue dashed line), assuming an average atmospheric OH concentration of 2×106 molec cm−3. The corresponding plot for the α-pinene ozonolysis experiment is given in Supplementary Fig. 6.

In addition to known compounds, chemical species measured include a large number of “unidentified” gas-phase reaction products, detected by the gas-phase mass spectrometers as 310 ions. Structures for these ions cannot be unambiguously assigned, but molecular formulas are known, from which chemical properties (e.g. volatility) can be estimated using group contribution methods.31 These unidentified species comprise 46±17% of the carbon at the end of the experiment, most of which is measured by PTR-MS and I CIMS. Species measured by the NO3 CIMS (extremely low volatility, highly oxidized gases)32 account for <0.5% of the total carbon, and so are not included in Fig. 1. The overlap between carbon measured by each instrument is minor, with ions of the same formulas measured by different instruments accounting for less than 20 ppbC (4% of carbon, see Methods). The dominant single contributor to unidentified carbon is C3H4O4 (yield of ~5%, measured by I CIMS), which has previously been observed in the atmosphere and identified as malonic acid;33 however, its ion cluster strength (Supplementary Fig. 1) indicates that it is not malonic acid but rather some isomer (or combination of isomers) thereof (e.g., the modeled pinene oxidation product 3-oxo-peroxypropanoic acid34). This highlights the need for new measurements that provide information on molecular structure and improved characterization of these unidentified species.35 Off-line techniques that would provide this information (e.g. tandem mass spectrometry) tend not to be adapted for the direct analysis of these gas-phase compounds, which may undergo chemical transformations upon collection or extraction.

The total measured carbon yield is 102±20% (1σ) by the end of the experiment. Calibrations of individual ions are relatively uncertain (e.g., a factor of 2.5 per ion in the I CIMS) because authentic standards are not available for most species. However, uncertainties in each ion are primarily due to random deviations from average calibration relationships rather than systematic bias; relative uncertainty for total measured carbon is therefore lower than that for any given ion and is calculated by the quadrature addition of individual absolute uncertainties. The contributions of each instrument to total uncertainty is provided in the Methods, and given in detail in Supplementary Table 1. “Carbon closure” is achieved in this experiment within measurement uncertainties, allowing for a more comprehensive characterization of the evolving carbon distribution over these timescales than previously possible. This also indicates that the loss of condensable carbon to chamber walls or other surfaces is not a major sink for reaction products in this experiment, as expected given the fast rate of oxidation and the use of seed particles as a condensation sink,3638 and supported by modeled gas-particle-wall partitioning (Supplementary Sect. 4).

Not all carbon is measured throughout the entire experiment; some “missing” carbon (up to ~40%) is unmeasured early in the experiment. The time dependence of this unmeasured carbon suggests it is made up of early-generation products that quickly react away (with a ~4h timescale) to yield measured products, leading to the observed carbon closure by the end of the experiment. These unmeasured species may be compounds that are not readily detected by the instrument suite. For example, the one peak in the I CIMS mass spectrum that is above the detection limit but substantially below the threshold for reliable instrument calibration (and hence not included in Fig. 1) is C10H17NO4 (Supplementary Fig. 2). This likely corresponds to α-pinene hydroxynitrate, a first-generation oxidation product known to be formed in high yields (~15%), but that is not sensitively measured by any of the present instruments.27,39 Importantly, the temporal behavior and ion intensity of this species (after applying an approximate calibration factor40) matches the unmeasured carbon well (Supplementary Sect. 4). “Missing” carbon is also observed in the ozonolysis experiment (Supplementary Sect. 5), for which no nitrate formation is expected, so it appears that this instrument suite is not generally sensitive to lightly-oxidized, lower-volatility gases, leading to poor carbon closure in the early generations of oxidation. In addition to undetected or poorly-detected ions, unmeasured carbon may include underestimation of low-sensitivity isomers of detected ions, which is particularly likely for isomers of lightly functionalized ions (Supplementary Sect. 2). Early-generation compounds, comprising gases of relatively low volatility, may also reversibly partition to reactor or inlet walls41 and re-volatilize upon reaction of their gas-phase component with OH, which could also contribute to unmeasured carbon early in the experiment. Thus, despite uncertainties related to its molecular identity, the unmeasured carbon is likely comprised of lightly oxidized, relatively low volatility gas-phase products. Indeed, this unmeasured carbon correlates well with the least-oxygenated measured ions (Supplementary Fig. 4). Moreover, the majority of the OC (and all of it by the end of the experiment) is quantified and characterized by chemical properties and formulas, providing a unique opportunity to examine the evolution of the composition and chemistry of OC over multiple generations of oxidation.

Evolving properties of the carbon

The changing composition of this complex mixture with oxidation is shown in Fig. 2, as three “snapshots” of the product distribution in terms of carbon oxidation state (OSC¯), vs. volatility (expressed as saturation concentration, c*), often referred to as the “two-dimensional volatility basis set”.10,42 Carbon in the first hour of the experiment (Fig. 2a) is dominated by the precursor, α-pinene, and the formation of products with intermediate volatility (c* = 103-106 μg m−3), as well as some higher-volatility gases (e.g., acetone, acetic acid), and particle-phase mass. By the end of the initial oxidation, after nearly all α-pinene has reacted (Fig. 2b), the product mixture spans a wide range of volatilities and oxidation states. Upon further oxidation (Fig. 2c), the distribution of products changes further, indicating the importance of continuing oxidation chemistry beyond the initial α-pinene oxidation.

Figure 2.

Figure 2.

Chemical characterization of carbon measured in the photooxidation of α-pinene in terms of OSC¯ and c*, commonly used for simplified representation of atmospheric organic carbon. These measurements illustrate the highly dynamic nature of the chemical system. Circle area is proportional to carbon concentration. Hollow: α-pinene, light gray: gas-phase species, dark gray: pOC, shown at average OSC¯ of each volatility bin measured by TD-AMS. Gas-phase species containing nitrate groups (defined as containing nitrogen and ≥3 oxygen atoms) are outlined. Distributions are provided after approximately (a) 1 hour, (b) 4 hours, and (c) 24 hours of equivalent atmospheric age. Some products are observed to increase in concentration throughout the experiment (e.g., CO), while others form and are then depleted (e.g., pinonaldehyde), demonstrating differences in reactivity and lifetime drive the dominant formation of less-reactive products. The full time evolution of these data is available as online as Supplementary Videos 1 and 2.

In this chemically dynamic system, the behavior of different products is determined by both their formation pathways and their lifetime versus further oxidation by OH. Some early-generation products, including most intermediate-volatility organic compounds (IVOCs; e.g., pinonaldehyde and multi-functional nitrates), exhibit rapid decreases in concentration after formation, consistent with their high reactivity.43,44 By contrast, concentrations of some of the volatile compounds (e.g., CO and acetone) consistently increase throughout the experiment. These are formed both from the initial oxidation of α-pinene as well as from the multigenerational oxidation of reaction products, and their slow reaction rates with OH preclude any significant decay over the timescales of the experiment. This category of less-reactive products also includes pOC, which increases throughout the experiment with only relatively minor changes in average properties, consistent with the long lifetime of particulate carbon against heterogeneous oxidation by gas-phase oxidants.45,46

The evolution of the organic mixture as a whole can be described in terms of changes to key chemical properties of the measured products. Figure 3 shows the evolving distributions of three such properties: carbon number (nC), OSC¯, and c*. The nC of observed products (Fig. 3a) exhibits a clear and dramatic change with oxidation: C10 species make up a large fraction (~50%, likely an underestimate since the early-generation unmeasured species are expected to be C10), indicating the importance of functionalization reactions (addition of oxygen-containing groups) early in the reaction. These reactions contribute to the early formation of pOC via gas-to-particle conversion and in-particle accretion reactions that yield low volatility products. However, trends in chemical properties are dominated by gOC, which is the majority fraction of carbon. (The individual trends for pOC and gOC are shown in Supplementary Fig. 6). Further oxidation depletes gas-phase C10 compounds, which account for only 12% of the carbon by the end of the experiment. Their oxidation produces species with smaller carbon numbers (in particular C1–3), suggesting that later-generation oxidation is dominated by fragmentation reactions. The OSC¯ distribution of the product mixture (Fig. 3b) is initially dominated by species with low (<−0.5) oxidation states, but further oxidation leads to the formation of higher oxidation state products, including very oxidized products with oxidation state > +1 (e.g. formic acid and CO) and a few less-oxidized species (mostly acetone).

Figure 3.

Figure 3.

Distribution of key chemical properties of gas- and particle-phase products during the photooxidation of a-pinene: (a) number of carbon atoms, nC, (b) oxidation state of carbon, OSC¯, and (c) volatility in terms of saturation concentration, c*, each denoted by the color scale shown. The properties of only the measured oxidation products (and not of the α-pinene precursor or the “unmeasured” carbon) are shown; the plots in which α-pinene is included is provided in Supplementary Fig. 6. Evolution of distributions and carbon-weighted averages of each property (bottom panels) demonstrate several general trends in atmospheric oxidation: initial formation of pOC and lightly-oxygenated moderately-volatile products, followed by fragmentation of gases to yield small oxygenated compounds.

The volatility distribution (Fig. 3c) also undergoes major changes. Initial product carbon is dominated by gas-phase IVOCs, C10 products formed by the addition of 1–3 functional groups to the carbon skeleton of the precursor. An early drop in volatility is observed because initially formed products include low-volatility pOC, which is measured, and intermediate-volatility gOC, which is partly unmeasured. As gas-phase species oxidize, the distribution of volatilities shifts away from IVOCs, toward both higher- and lower-volatility products. By the end of the experiment, IVOCs represent a small fraction of the total carbon, which is instead dominated by high-volatility gases (formed from fragmentation reactions) or pOC (formed mostly from functionalization reactions). The trends observed in Fig. 3 are further enhanced by including α-pinene (Supplementary Fig. 6) or unmeasured species, as those have chemical properties similar to early-generation products (large, moderately volatile, and lightly oxidized). Ozonolysis experiment exhibits the same trends as the photooxidation, but with fewer changes during the initial oxidation, since the initial reaction ceases after the oxidation of the double bonds.

The evolution of the organic mixture, in which the early-generation species (mostly large, lightly-oxidized, intermediate-volatility species) react to form small, volatile species in the gas phase and low-volatility species in the particle phase, has important implications for the evolving reactivity and lifetime of atmospheric OC. Figure 4a shows the changes to the distribution of the atmospheric lifetime against reaction with OH (τox) of the product mixture. Functionalized IVOCs generally have lifetimes of only 3–9 hours, so the lifetimes of initial products are generally short.45 Unmeasured carbon, representing one or a distribution of several such compounds, is included in Fig. 4 with a lifetime of the observed decay timescale (~4 hours, time-dependence of unmeasured mass shown in Supplementary Fig. 9).

Figure 4.

Figure 4.

Changes in atmospheric lifetime and reactivity through multigenerational oxidation of a-pinene. (a) Time-dependent distribution of atmospheric lifetime against oxidation by OH (τox) including unmeasured carbon (for which assumed τox = 4 h). Average trend shown in bottom panel. (b) The volatility distribution of carbon at two points in the experiment. Times shown are denoted by arrows in panel (a): relatively early (top) and late (bottom) in the reaction. Volatility bins are colored by τox with the same color scale as in panel a. Unmeasured carbon is assumed to be distributed evenly across c*= 102-104 μg m−3 (hashed bars) for illustrative purposes. (c) Carbon-weighted average OH reactivity (assuming average OH concentration of 2×106 molec cm−3). Exponential fit (black dashed line) has a decay constant, τkOH¯, of 2.8 hours. The average observed trend of increasing lifetime is shown to lead to the sequestration of carbon into high- and low-volatility reservoirs of low-reactivity carbon (small oxygenated gases and pOC, respectively) and a rapid decrease in overall reactivity.

While the initial IVOC products are short lived with respect to oxidation, other products are extremely long-lived, such as CO (τox = 39 days47), acetone (τox = 34 days48), and pOC (τox = 69 days46). Over the course of the experiment, the IVOCs react away and these longer-lived species continue to grow in, increasing the average lifetime of products in the mixture from 5 hours to 2 days. By the end of the experiment, more than half of the carbon is in species that are sufficiently long-lived (τox > 20 hrs) to be unreactive on the timescale of the experiment. This tendency toward long-lived species is a natural consequence of any multigenerational reaction system, since less-reactive products represent “kinetic bottlenecks” and hence will necessarily accumulate. Reversible deposition to walls may impact the timescale of the reaction in this work by temporarily sequestering some reactive carbon from oxidation by OH, but these processes will not substantially diminish the kinetic tendency toward less-reactive products. In the present system, this tendency is closely correlated with the evolving volatility distributions, since long-lived species tend either to be small gas-phase oxygenates (e.g., CO, acetone), or present in the condensed phase (as pOC). Thus, within approximately a day of atmospheric aging of this system, the volatility distribution of the product mixture becomes bimodal, dominated by particles and long-lived high-volatility gases (Fig. 4b). This decrease in reactivity through sequestration of carbon in “low-reactivity pools” occurs roughly exponentially, with a characteristic time of ~3 hours (Fig. 4c); this timescale matches the approximate lifetime of the first-generation products that drive the initial reactivity of the product mixture. Chemical systems are expected to vary in their timescales and composition depending on reaction rates of reactants and products, and the impacts of other chemical processes (e.g. aqueous and multi-phase reactions), but the tendency toward long-lived products is expected for most atmospheric systems.

Discussion

By characterizing nearly all the products formed in a complex chemical system in terms of their molecular formulas and physicochemical properties, we have been able to examine the products and evolution of atmospheric OC through multi-generational oxidation. Initial oxidation occurs through the addition of functional groups to form pOC mass and large, intermediate-volatility gases, but upon further oxidation gas-phase products quickly fragment into high-volatility compounds. Particulate carbon and some oxidized volatile gases are resistant to further oxidation by OH, so carbon effectively becomes sequestered in these two pools. The present results are limited to the oxidation of a single precursor hydrocarbon, under a limited set of reaction conditions, and other chemical systems may exhibit somewhat different behavior. However, known long-lived products (e.g., pOC, formic acid, CO, etc.) are formed by a wide range of oxidation systems, and longer-lived species will necessarily accumulate over the course of multiple generations of oxidation. Thus the general trends shown in Fig. 4 – the eventual decrease in reactivity and the bifurcation in volatility – are likely to be common features of the oxidation of most atmospheric organic species. Ambient processes that are not captured by these experiments (e.g. aqueous-phase reactions, in-particle secondary chemistry,49 reactive uptake of soluble gases such as those formed from isoprene oxidation50,51) may increase the oxidation or fragmentation of pOC or alter chemical pathways. This would shift the relative balance between condensed-phase and high-volatility long-lived reservoirs, but is unlikely to substantially increase or change the trend in the overall reactivity of OC.

The observed timescale for oxidative removal of reactive gases and formation of long-lived species has broad implications for understanding the fate of atmospheric OC on global and regional scales. Near emission sources, the diverse and complex mixture of functionalized gases formed from emissions are likely to comprise a significant fraction of suspended carbon, playing a critical role in particle growth, OH reactivity, and depositional loss.11,16,5256 However, farther from emissions, IVOCs will be substantially depleted and most mass will be comprised of relatively few long-lived constituents, so composition and removal of OC in remote regions will be dominated by particles and C1–3 gases. Where an airmass is on the continuum between near- and far-field is a function of both the inherent timescales for oxidation of a given chemical system and the “average age” of the OC. Some approaches to quantify the average age of an airmass have been developed, but are generally limited to anthropogenically-influenced chemistries.57,58 The fate of atmospheric OC is determined by the competition between the oxidation reactions studied, other chemical processes (e.g. aqueous-phase reactions) that may modify the oxidation pathways, and deposition. The relative timescales of each govern the extent to which emitted carbon is deposited as lightly-functionalized species before being sequestered by oxidation. The timescales of oxidation measured in this work therefore need to be complemented by better observational constraints on average age of OC and timescales of removal in order to improve understanding of the lifecycle and fate of OC under a range of atmospheric conditions.

Methods

Reaction conditions

Studies were carried out using a fixed-volume temperature-controlled 7.5 m3 Teflon environmental chamber in which was mixed α-pinene (60 ppb), ammonium sulfate aerosol (~70 μg m−3), and a non-reactive tracer used to measure dilution rate (hexafluorobenzene). Oxidant was introduced as ozone (~350 ppb), or HONO (50 ppb) in the presence of ultraviolet light (300–400 nm) to produce OH radicals. Multi-generational oxidation was initiated 4.5 hours after initial oxidation, through the introduction of ~2 ppb/min HONO in the presence of ultraviolet light. Reactions were carried out at 20 °C and low relative humidity (<5%). All data are corrected for dilution due to instrument sampling. Reported particle mass concentrations are corrected for loss to the walls using a rate calculated from the loss rate of seed particles prior to reaction. Additional details are provided in Supplementary Sect. 1.

Measurements

Detailed operation conditions and calibration methods are provided for all instruments in Supplementary Sect. 1. Four high-resolution (m/Δm ≈ 4000) time-of-flight mass spectrometers (HTOF; Tofwerk AG) were used in this work: gas-phase composition was measured by PTR-MS19,20 (Ionikon Analytik) and two CIMS21 (Aerodyne Research Inc.) using I and NO3 as reagent ions,2225 and particle-phase composition was measured by an AMS18 (Aerodyne Research Inc.). The latter sampled downstream of a Thermal Denuder59 to measure volatility distribution of particles. Two TILDAS60 (Aerodyne Research Inc.) instruments measured C1 compounds. Particle size distributions measured by Scanning Mobility Particle Sizer (TSI Inc.) were converted to mass concentration using an assumed density of 1.4 g cm−3, and converted to carbon concentration via AMS-measured O:C and H:C ratios.61 pOC is characterized by average properties of TD-AMS volatility bins. Particle-phase composition was also measured by the I CIMS using a “FIGAERO” inlet. Due to decomposition during thermal desorption, this instrument is also limited to characterization of pOC by average properties, which are found to be similar to measurements by AMS in concentration, elemental composition, carbon number, and volatility. All pOC data shown in Figs. 14 are consequently from TD-AMS, as it has higher time resolution and lower uncertainty.62 Further detail on pOC composition is discussed in Supplementary Sects. 2 and 4. Calibration and data analysis was performed where possible through previously published techniques and with commercially available software. Detailed information regarding the comprehensive calibration of I CIMS data, and identification and quantification of species in PTR-MS data are described in Supplementary Information Sects. 2 and 3.

Calculation of chemical parameters

Gas-phase mass spectrometers measure individual ions with a known molecular formula, while the TD-AMS provides bulk measurements of chemical properties. To explore chemical evolution, volatility is inferred from molecular composition and vice-versa based on the approach of Daumit et al.31 that relates c* to nC and elemental ratios (e.g. those measured by the AMS). OSC¯ is calculated from elemental ratios.42

Lifetime against atmospheric oxidation for a compound, i, is calculated from its rate constant for reaction with OH as τox,i=(kOH,i[OH]¯)1 assuming an average OH concentration of 2×106 molec cm−3: OH rate constants for known compounds (those labeled in Figs. 1 and 2) are obtained from the NIST Chemical Kinetics Database.44 Rate constants for unidentified ions are calculated from molecular formula as described by Donahue and co-workers,45 which spans an atmospheric lifetime of 13 hours for small (high-volatility) gases to ~2 hours for larger, lower volatility (e.g., IVOC) gases. Lifetime of unmeasured mass is estimated from its time dependence (~4 hours, Supplementary Fig. 9). Carbon is assumed to be lost from the particle phase with a lifetime of 69 days, as determined by Kroll and co-workers;46 the conclusions in this work are insensitive to uncertainties in this value.

Uncertainty in carbon closure

Most uncertainties in all instrument calibrations introduce random error, not bias. Total uncertainty is consequently calculated by adding in quadrature the absolute uncertainty in each ion concentration. Relative uncertainty in total measured carbon is thus lower than the relative uncertainty of any given ion. Instrument, and total uncertainties are provided in Supplementary Tables 1 and 2. The largest source of uncertainty in the total measured concentration is in the calibration of the I CIMS, which in this work is ~60% for its total carbon concentration (see Supplementary Sect. 4), though expected to be reduced to 20% in future work. The other main source of uncertainty in this work is the predicted bias in PTR measurements caused by the loss of carbon as neutral fragments in the mass spectrometer. Spectra of oxygenated and non-oxygenated compounds previously published and measured as part of this work demonstrate that compounds containing more than a few carbon atoms can lose 20% of their carbon as neutral fragments leading to potential underestimation and asymmetry in uncertainty estimates (see Supplementary Sect. 3). Fragmentation during analysis is also expected to somewhat bias the chemical characterization of the product mixture toward ions with lower carbon numbers. This bias cannot explain the observed decrease in nC, as this trend is also observed in the I CIMS, which does not undergo increased fragmentation of more oxidized ions. The contribution of each instrument to total uncertainty in measured carbon is weighted by the fraction of carbon measured, which mitigates the relatively high uncertainty in I CIMS calibration due to its minority contribution to total measured carbon. The uncertainty in total carbon contributed by each instrument is: ±16% from I CIMS, ±1% from NO3 CIMS, %-  7+11 from PTR-MS, ±1% from TILDAS, and ±3% from AMS/SMPS. Overall uncertainty in total measured carbon is ±20%; details provided in Supplementary Table 1.

Carbon closure is not substantially impacted by overlap between carbon measured by multiple instruments. The estimated overlap is 20 ppbC, which accounts for known possible transformations in instruments (e.g. dehydration in the PTR-MS). Though not all possible transformations are well known or constrained, this estimate of multiply-measured carbon is likely an overestimate in that it does not consider time-dependence of ions; even ions measured by multiple instruments that do not correlate, which would represent different isomers, are included in the reported overlap.

Gas-particle-wall partitioning

Deposition of vapors to the walls was modeled as equilibrium gas-particle-wall partitioning of the observed carbon volatility distribution using parameters to match the conditions of these experiments, using a similar approach to that of La and coworkers.63 Briefly, the fraction of a volatility bin expected to be on the wall was modeled as a function of equilibration time, with parameterized competition between gas-wall partitioning, gas-particle partitioning, and reaction with OH to form a gas-phase product that does not partition. Time evolution of carbon on walls was simulated by modeled phase partitioning of the observed time-evolving volatility distribution of carbon. Details of these calculations are provided in Supplementary Sect. 4.

Supplementary Material

Supplemental
Supplemental Video 1
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Supplemental video 2
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Acknowledgements

We would like to thank Harald Stark for insights into correcting for mass-dependent transmission in the I CIMS calibration, Jose-Luis Jimenez for valuable discussions regarding vapor wall loss, Colette Heald for valuable discussions of overall chemical trends, and Laura Wattenberg for the inspiration for the stacked plot approach to visualizing these data. This work was supported in part by the NSF Postdoctoral Research Fellowship program (AGS-PRF 1433432), as well as grants AGS-1536939, AGS-1537446 and AGS-1536551. D. A. Knopf acknowledges support from NSF grant AGS-1446286.

Footnotes

Data Availability

A list of all ions measured in this work are provided in online as Supplementary Data 1. Time-resolved concentrations of all ions throughout the photooxidation and ozonolysis experiments (shown in Figures 1 and 2, forming the basis for Figures 3 and 4) are available by contacting the corresponding authors.

Competing Financial Interests

PM, JBN, JRR, STH, TBO, MRC, JTJ, and DRW are, or were during this work, employees of Aerodyne Research, Inc. (ARI), which developed and commercialized several of the advanced mass spectrometric instruments utilized in this study.

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