Next Article in Journal
Evaluation of Steaming and Drying of Black Sesame Seeds for Nine Cycles Using Grey-Correlation Analysis Based on Variation-Coefficient Weight
Previous Article in Journal
Bilayer Hydrogel Composed of Elastin-Mimetic Polypeptides as a Bio-Actuator with Bidirectional and Reversible Bending Behaviors
Previous Article in Special Issue
Enhancing Cu2+ Ion Removal: An Innovative Approach Utilizing Modified Frankincense Gum Combined with Multiwalled Carbon Tubes and Iron Oxide Nanoparticles as Adsorbent
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Comparison of Gas–Particle Partitioning of Glyoxal and Methylglyoxal in the Summertime Atmosphere at the Foot and Top of Mount Hua

1
State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, China
2
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 101408, China
3
Xi’an Institute for Innovative Earth Environment Research, Xi’an 710061, China
4
State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
5
National Observation and Research Station of Regional Ecological Environment Change and Comprehensive Management in the Guanzhong Plain, Xi’an 710499, China
*
Author to whom correspondence should be addressed.
Molecules 2023, 28(13), 5276; https://doi.org/10.3390/molecules28135276
Submission received: 23 May 2023 / Revised: 4 July 2023 / Accepted: 5 July 2023 / Published: 7 July 2023

Abstract

:
Glyoxal and methylglyoxal are important volatile organic compounds in the atmosphere. The gas–particle partitioning of these carbonyl compounds makes significant contributions to O3 formation. In this study, both the gas- and particle-phase glyoxal and methylglyoxal concentrations at the foot and top of Mount Hua were determined simultaneously. The results showed that the gaseous-phase glyoxal and methylglyoxal concentrations at the top were higher than those at the foot of the mountain. However, the concentrations for the particle phase showed the opposite trend. The average theoretical values of the gas–particle partitioning coefficients of the glyoxal and methylglyoxal concentrations (4.57 × 10−10 and 9.63 × 10−10 m3 μg−1, respectively) were lower than the observed values (3.79 × 10−3 and 6.79 × 10−3 m3 μg−1, respectively). The effective Henry’s law constants (eff.KH) of the glyoxal and methylglyoxal were in the order of 108 to 109 mol/kgH2O/atm, and they were lower at the foot than they were at the top. The particle/gas ratios (P/G ratios) of the glyoxal and methylglyoxal were 0.039 and 0.055, respectively, indicating more glyoxal and methylglyoxal existed in the gas phase. The factors influencing the partitioning coefficients of the glyoxal and methylglyoxal were positively correlated with the relative humidity (RH) and negatively correlated with the PM2.5 value. Moreover, the partitioning coefficient of the glyoxal and methylglyoxal was more significant at the top than at the foot of Mount Hua.

Graphical Abstract

1. Introduction

Aldehydes and ketones have a carbonyl structure, and so they are called carbonyl compounds (an important class of volatile organic compounds (VOCs) containing oxygen). Common carbonyl compounds mainly include formaldehyde, acetaldehyde, acetone, and so on. Ubiquitous in the atmosphere, they form a vital part of secondary organic aerosols (SOAs) [1,2]. In terms of chemical components, SOAs include organic and inorganic components. Based on the differences in the functional groups they contain, organic matter can be divided into hydrocarbon substances containing C, –OH, –OOH, –CHO, –COOH, etc., while inorganic substances refer to salt substances such as SO42−, NO3, NH4+, K+, Ca2+, Na+, Cl, and so on. Carbonyl compounds are mainly derived from the incomplete combustion of fossil fuels and biomass, including automobile exhaust and chemical industry waste gas. Moreover, a photochemical reaction is a vital pathway in the actual atmosphere, and it is not only the significant intermediate product of a hydrocarbon photochemical reaction but also the precursor of generating free radicals, ozone and peroxynitro compounds [3]. However, low molecular-weight carbonyl compounds, such as formaldehyde, are not considered to contribute to SOAs to any significant extent for a long period of time due to their relatively high vapor pressure and, therefore, they have not received much attention [4]. However, Knote et al. have proven that these low molecular-weight carbonyl compounds are highly reactive, and their contributions to SOAs may exceed our recognition [5]. Carbonyl compounds exhibit volatility, and they can be released in the gas phase and enter the particle phase, significantly changing the physico-chemical properties of aerosol particles, such as by reducing the surface tension of aerosol particles to form light-absorbing compounds [6].
Glyoxal (Gly) and methylglyoxal (mGly), the two lower-molecular-weight dicarbonyl compounds, are special substances due to their physico-chemical properties in α-carbonyl compounds. For example, the boiling point of Gly is only 51 °C, making it extremely volatile, and it does not contribute to the mass of an aerosol. However, because of the function of its α-carbonyl group, its reactivity is enhanced, and it reacts readily with other substances. It has been reported that Gly and mGly can react with nitrogen-containing nucleophilic reagents, including ammonia and amine, to produce imine intermediates. In spite of this, the intermediate does not absorb light, and it will continue to react to generate nitrogen-containing organic chromophores [7]. The absorption of brown carbon (BrC) affects the direct radiation effect of an organic carbon in the visible range of solar radiation [8]. The former study indicated that the bleaching of Gly–ammonium sulfate BrC was predominantly driven by OH oxidation, while that of mGly–ammonium sulfate was driven by direct photolysis [9]. Moreover, the high water solubility of low-molecular-weight carbonyl compounds makes them more easily adsorbed on aerosol particles or tiny droplets for liquid-phase chemical reactions [10,11]. Aromatics and biological hydrocarbons with acid-catalyzed heterogeneous reactions produce Gly and mGly [12]. Thus, Gly and mGly are easily distributed into the liquid phase, which contributes to the formation and evolution of SOAs through photolysis, hydrolysis, or polymerization [13,14]. Hu et al. reported that Gly and mGly contributed 14–25% and 23–28%, respectively, to the generation of SOAs in China [15]. The SOA yields of Gly and mGly are significantly dependent on atmospheric conditions, such as salt and water concentrations, and the properties of the surrounding aerosols [16,17]. The sources and fates of Gly and mGly are complex and diverse, and they are affected by multiple environmental factors that cause some uncertainties in the generation of SOAs in the atmosphere.
The gas–particle partitioning of volatile substances can be used to evaluate the contribution of Gly and mGly to SOAs. Water-soluble carbonyl compounds, transforming from the gas to particle phase, follow Pankow’s partitioning theory and Henry’s law. Previous studies have primarily focused on urban areas (Beijing [1,18], Zhengzhou [2], and Denver [19]), and they analyzed the source, distribution, and sink. The findings of the studies are shown in Table 1 and Table 2. Table 1 shows that the gas phase concentrations of Gly and mGly were the highest in summer and the lowest in winter. However, the particle phase, in contrast to the gas phase, had the highest concentrations in winter and the lowest concentrations in summer. The gas–particle partitioning and eff.KH of Gly and mGly for different seasons are shown in Table 2. The gas–particle partitioning of Gly and mGly is related to ambient temperatures, and an increase in temperature is conducive to the volatilization of Gly and mGly from the gas phase to particle phase. Both of these indicate seasonal variations. The main concern is the interconversion of VOCs in the gas phase or PM2.5, and their further oxidation to form organic acids with low volatility, such as pyruvate, glyoxylic acid (ωC2), and oxalic acid (C2) [20], or the two-phase distribution of VOCs in a gas particle state [21]. Few studies [22] on the gas–particle partitioning of carbonyl compounds have been conducted in alpine regions, although these could be helpful in revealing the distribution and transformation mechanisms of these compounds during long-distance transport. Therefore, we conducted simultaneous observations of VOCs and aerosols at both the foot and top of Mount Hua, an alpine region in the Guanzhong Basin, Northwest China. The chemical compositions of the aerosols were analyzed (and have been reported elsewhere [23]), although some of the original data for this article have already been published in Shen et al. [24]. The major purpose of Shen et al. (2023) was to discuss the influence of vertical transport to the formation mechanism of diacids-related SOA from the ground area to the top of Mt. Hua. In this study, in order to explore the gas-particle partitioning of glyoxal and methylglyoxal, as well as its influencing factors, glyoxal and methylglyoxal concentrations in the particle phase were reanalyzed with their concentrations in the gas phase.

2. Results and Discussion

2.1. Temporal Variations in Gly and mGly Concentrations

Gly and mGly are the most basic substances in dicarbonyl compounds, which are extremely volatile due to their high vapor pressure. The monophasic (gas phase and particle phase) temporal variations in Gly and mGly are discussed below. The purpose of this section is to elucidate the temporal variation process in the different phase states of Gly and mGly at the top and the foot of Mount Hua. Figure 1 shows the temporal variations in O3, PM2.5, liquid water content (LWC), in situ acidity (pHis), temperature (T), and RH at both the top and the foot of Mount Hua. The concentration of PM2.5 at the foot (26.01 ± 10.03 µg m−3) was more than three times that at the top (7.75 ± 3.99 µg m−3) of the mountain, consisting of the intensive anthropogenic emissions from industries, vehicles, and other human activities at ground level. The concentration of O3 at the top (82.49 ± 22.11) was significantly higher than that at the foot of the mountain (33.59 ± 16.49) (Figure 1a,b). There was little difference in the pHis values between the top and the foot of the mountain (Figure 1c,d). The average temperature at the foot was 8 °C higher than that at the top of the mountain. The RH values (49.51 to 99.92%) were relatively high at both sites during the warmer seasons (Figure 1e,f).

2.1.1. Temporal Variations in Gas-Phase Gly and mGly at the Top and Foot of Mount Hua

Gly and mGly are important carbonyl compounds in the atmosphere and play important roles in free radical cycling and ozone formation [25]. The temporal variations in gas-phase Gly and mGly between the top and foot of Mount Hua are shown in Figure 2a,b. The average concentrations of gas-phase Gly and mGly were 0.28 ± 0.13 and 0.17 ± 0.06 ppbv, respectively, at the top and 0.23 ± 0.14 and 0.16 ± 0.07 ppbv, respectively, at the foot of the mountain. The difference in total concentration was negligible, but the processes of the change were markedly different. Gly and mGly showed similar trends at both sites. The concentrations of gas-phase Gly and mGly both increased gradually in the afternoons (12:00–16:00) and decreased in the evenings. The concentrations of Gly were higher than those of mGly, which may have been related to the shorter lifetime of mGly compared to that of Gly (mGly 1.6 h vs. Gly 2.9 h) [22]. Furthermore, the concentration of Gly at the top was higher than that at the foot of the mountain during the first day of sampling. For this reason, there was thought to be a process of the mutual transformation of mGly to Gly with the effect of the high O3 concentrations at the top of the mountain. Furthermore, the top of the mountain, with its high levels of plant-source VOCs and low NOx, was conducive to the formation of O3 [26]. Gly reached its maximum gas-phase value on day 11 of the sampling period (mainly because of the conditions of strong solar radiative forcing during sunny days, which were more conducive to the gas-phase reactions of Gly than those on rainy days (i.e., the subsequent sampling days)).

2.1.2. Temporal Variations in Particle-Phase Gly and mGly at the Top and Foot of Mount Hua

The temporal variations in particle-phase Gly and mGly at the top and foot of Mount Hua are shown in Figure 2c,d. The particle-phase amounts of Gly and mGly at the foot were 26.75 ± 10.98 and 48.80 ± 28.85 ng m−3, respectively, which were two to three times higher than those at the mountaintop (10.94 ± 4.45 and 16.97 ± 11.73 ng m−3, respectively). The LWC at the foot of the mountain was also higher than that at the top. It has been reported that carbonyl compounds will occur in aqueous-phase reactions when dissolved in liquid water and concentrated salt solutions [3]. VOCs can be converted into high-oxygen and low-volatile organic acids during aqueous-phase chemical processes, which contributes to increases in the contents of SOAs in the environment with the evaporation of water [27]. Gly and mGly will generate hydroxyhydroperoxide intermediates during the aqueous-phase process, which will reversibly generate Gly and mGly again after H2O2 quenching [3]. As a result, with the increase in LWC, mGly and Gly both increase significantly. The growth trend at the foot of the mountain was greater than that at the top. Compared with the top of mountain, Gly and mGly had more anthropogenic sources at the foot of the mountain, such as vehicle exhaust emissions, temple incense-burning activities, restaurant cooking, and firecrackers.
Different from gas-phase Gly, the particle-phase Gly amounts were significantly lower than those of mGly during the first two days and, later, the contents of Gly were higher than those of mGly, showing an upward trend. The concentrations of mGly at the foot of the mountain were higher than those of Gly. The reason for this may have been that the methylation of Gly molecules occurs readily in aqueous-phase chemical reactions, forming mGly. These results were comparable with those of Zhu et al. recorded at Mount Tai in 2014 [28], and they were higher than those found by Meng et al. in 2016 [29].

2.2. Gas–Particle Partitioning of Gly and mGly at the Top and Foot of Mount Hua

2.2.1. Measured and Theoretical Partitioning Coefficients

Carbonyl compounds are ubiquitous in the atmosphere and are important components of atmospheric aerosols; however, their actual contribution to SOAs is difficult to quantify because they exist in both the gas and particle phases, coupled with the highly volatile nature of the substances themselves. Pankow’s absorptive partitioning theory is used to describe the Gly and mGly gas–particle partitioning process to reveal the mechanism of the generation of SOAs. The average theoretical values of Gly and mGly are 4.57 × 10−10 m3 μg−1 and 9.63 × 10−10 m3 μg−1, respectively, while the actual in situ measurements were 3.79 × 10−3 m3 μg−1 and 6.79 × 10−3 m3 μg−1, respectively (Table 3). The observed values were six orders of magnitude higher than the theoretical values. Furthermore, the partitioning coefficients of the field observations at the top of the mountain were higher than those at the foot of the mountain. Meanwhile, the temperatures at the foot of the mountain were 8 °C higher than those at the top of the mountain. High temperatures promote the volatilization of carbonyl compounds into the gas phase, resulting in decreases in the adsorption coefficients [30]. Therefore, temperature affected the distribution coefficients. The partitioning coefficient of mGly at the top was one order of magnitude higher than that at the foot of the mountain, and it was greater than that of Gly, suggesting that mGly, in mountain regions, is more prone to phase transfer than Gly.
It has been reported that the K p f values of Gly and mGly were 1.44 × 10−3 and 4.19 × 10−4 m3 μg−1, respectively, in the Beijing urban area [1], and they were 4.44 to 7.34 × 10−5 and 0.68 to 1.14 × 10−5 m3 μg−1, respectively, in the photochemical reaction products of isoprene in the laboratory [31]. The relatively higher K p f values in this study may have been related to the differences in the chemical compositions and sources of the aerosols. Consistently, these results indicated that Pankow’s absorptive partitioning theory has been markedly underestimated in field and laboratory studies, meaning that Pankow’s absorptive partitioning theory cannot predict the gas–particle partitioning of Gly and mGly [1,32].

2.2.2. Gas–Particle Partitioning Ratios and Henry’s Law

Table 4 shows that the P/G ratios of Gly and mGly at night are higher than those during the day at the top of Mount Hua in the summer, and this change was similar to the change in RH. Our results were consistent with previously reported results from the summit of Mount Fuji [22]. On the contrary, the P/G ratios of mGly during the day were higher than those at night at the foot of the mountain. The average P/G ratios at the foot of the mountain were higher than those at the top of the mountain due to the vertical downward transport of the particle phase. Furthermore, the P/G ratios were generally small (0.016 to 0.0961), which indicated that these two carbonyl compounds were volatile, and most of them were present in the gas phase. Therefore, gas–particle partitioning should be considered when using particle concentrations in source apportionments [33,34]. The eff.KH values of Gly and mGly at night (2.88 × 109 and 6.82 × 109, respectively) were higher than those during the day (4.45 × 108 and 9.81 × 108, respectively), and the values at the top were higher than those at the foot of Mount Hua. Moreover, the eff.KH values of Gly and mGly at the top (1.66 × 109 and 4.22 × 109, respectively) were an order of magnitude higher than those at the foot (2.51 × 108 and 6.39 × 108, respectively) of the mountain. Our results were of the same order of 108 to 109 as those previously reported [2]. This value was much higher than the theoretical value primarily because the particles were formed based on a concentrated salt solution [35], and their formation conditions were distinct from those of an infinite dilute solution. Moreover, carbonyl compounds interact with other aerosols, such as oxygenated organic aerosols [36] and aerosol liquid water, which were not excluded in the estimation.

2.3. The Factors Influencing the Gas–Particle Partitioning Process

It has been reported that the gas–particle partitioning of carbonyl compounds is affected by RH [38,39], particle acidity [40], and inorganic ions [41,42], especially during the formation of SOAs. This was key to understanding the formation of SOAs to explore the factors influencing the gas–particle partitioning of carbonyl compounds at Mount Hua, and so a comparative analysis of the following systems was conducted.
Figure 3 and Figure 4 show the linear correlations between the log K p f values of Gly and mGly and the PM2.5, O3, NH3, pHis, RH, T, SO42−, and NO3 at the top (a, b, c, and d) and the foot (e, f, g, and h) of Mount Hua. The results indicated that the log K p f value of Gly was negatively correlated with the PM2.5, O3, and T, which were positively correlated with the pHis and RH at the top and foot of the mountain and negatively correlated with the SO42− at the top of Mount Hua. The log K p f values of mGly at the top and foot of Mount Hua were significantly negatively correlated with the PM2.5, and the linear correlation coefficients (r) were −0.94 and −0.80, respectively. In addition, the peak also had a strong correlation with the T (negative correlation) and RH (positive correlation) while the foot was positively correlated with the NO3. It has been reported that temperature is negatively correlated with the partition coefficients of carbonyl compounds [2]. Our results were consistent with those of the previous study.
The higher the concentrations of the PM2.5 and O3, and the higher the temperature T, the more adverse the effects on the process of the gas–particle partitioning of Gly within the scope of this observation. The average PM2.5 values at the top and bottom of the mountain were 26.01 ± 10.03 µg m−3 and 7.75 ± 3.99 µg m−3, respectively. The correlations between the PM2.5 and Gly (r = −0.90) and mGly (r = −0.94) at the top were closer to 1 than those at the foot (r = −0.80 and −0.80, respectively). The higher the PM2.5, the more the Gly and mGly molecules coated the surfaces of the particulate matter, hindering the gas–particle partitioning process. Hence, the partitioning effects on Gly and mGly at the top of the mountain were more favorable than those at the bottom. The linear correlation analysis showed that high O3 would inhibit the gas–particle partitioning of Gly. As atmospheric oxidation increased, Gly could be further oxidized to form fewer volatile organic acids, such as C2 [43].
It has been reported that RH and the particle-phase state may play key roles in the heterogeneous oxidation of organic–inorganic mixed aerosols [44]. Our observations confirmed this finding. In the particle phase, when RH is high, Gly and mGly are adsorbed on particles and react with water to form hydrates, and they can further react with the hydroxyl group of glycols to produce dimers, trimers, and even polymers with higher molecular weights. The hygroscopicity of aerosols increases exponentially with increases in RH [35]. As a result, the hygroscopic growth of aerosols and the hydration of Gly and mGly can accelerate their distribution in the particle phase at relatively high RH levels. However, the hydrates of Gly and mGly can form even in the gas phase, with hydrated Gly and mGly having greater affinities for water vapor and water droplets than anhydrous compounds [45]. Whether in the gas phase or the particle phase, an increase in RH is conducive to the formation of Gly and mGly. The partitioning coefficients at the top and bottom of the mountain for the log K p f values of Gly had good correlations with the acidity of the aerosol particles. The same experimental results have been reported elsewhere [46]. Inorganic substances always coexist with organic substances in atmospheric particulates and, together, they affect the heterogeneous oxidation of organic aerosols [47]. The water content and phase state of particles may change significantly in the presence of inorganic salts [48,49,50]. Jang et al. observed, in a laboratory, that the O3 reaction of isoprene and acrolein produces Gly, and that H2SO4 can catalyze the heterogeneous carbonyl reaction, leading to increases in SOAs [12]. The linear correlation coefficient of the log K p f value of Gly and SO42− was −0.58 at the top of the mountain, and that of the log K p f value of mGly and NO3 was 0.52 at the bottom of the mountain in this observation. This suggested that SO42− and NO3 have certain effects on the gas–particle partitioning of Gly and mGly.

3. Materials and Methods

3.1. Field Sampling

The sampling campaign was conducted at the top (c. 2060 m a.s.l) and at the foot (c. 400 m a.s.l) of Mount Hua (34°29′ N, 110°05′ E) from 11 to 16 August 2020. The gas-phase samples were collected using a Sep-Pak DNPH-Silica Plus Short Cartridge, 350 mg Sorbent per Cartridge, 55–105 µm, 20/pk (Waters 037500) with a Sep-Pak Ozone Scrubber Potassium Iodide, Plus Short Cartridge, 1.4 g, 55–105 µm, 20/pk (Waters 054420). Potassium iodide (KI) was connected to its front to eliminate ozone interference. The flow rate was 0.6 L min−1. The sampling duration was 2 h between 06:00 and 20:00 and 10 h between 20:00 and 06:00. The PM2.5 samples were collected using a mid-volume air sampler (HC-1010, Qingdao Hecheng Environmental Protection Technology Co., Ltd., Qingdao, China) equipped with prebaked (450 °C, 8 h) quartz-fiber filters (Whatman, 90 mm diameter, Clifton, NJ, USA) at an airflow rate of 100 L min−1. The sampling time was 11 h by day (08:00–19:00) and by night (20:00–07:00). The meteorological parameters (relative humidity (RH), temperature [51], etc.) at the top and foot of Mount Hua were taken from local meteorological department data.

3.2. Sample Extraction and Analysis

The gaseous carbonyl compounds were collected using a 2,4-dinitrophenylzine (DNPH) (Sep-Pak DNPH-silica, 55–105 μm particle size, 125 Å pore size; Waters Corporation, Milford, MA, USA) adsorption column. The collected samples were slowly washed with 2 mL acetonitrile to ensure that all samples were washed to the volumetric bottle. Then, high-performance liquid chromatography (HPLC) with ultraviolet detection (Agilent 1200 LC; Agilent Technology, Santa Clara, CA, USA) was used for the subsequent assay. The analytical conditions involved a PerkinElmer Spheri-5 ODS reversed-phase column (250 mm × 4.6 mm, 5.0 μm, PerkinElmer, Norwalk, CT, USA) and the mobile phases were as follows: mobile A: water/CH3CN/tetrahydrofuran (60/30/10 v/v), mobile B: CH3CN/water (60/40, v/v), and mobile C: CH3CN (100 v). The detection wavelength was 360 nm, the column temperature was 25 °C, the injection volume was 20 mL, and the flow rate was 2 mL min−1. The gradient elution procedure was: 80% mobile A/20% mobile B for 1.5 min; 40% mobile A/60% mobile B for 5 min; 100% mobile B for 8.5 min; 80% mobile B/20% mobile C for 3 min; 50% mobile B/50% mobile C for 4 min; and 100% mobile C for 6 min.
The extraction method for particle phase was adopted from the study by Shen et al. [24]. In short, a one-quarter filter membrane was used for the ultrasonic extraction (three cycles of 15 min each) with ultra-pure water. The water extract was cyclically steamed until it was near-dry, then it was treated with 14% BF3/n-butanol at 100 °C for 1 h and extracted. Finally, the extract was concentrated to 100 μL and analyzed by gas chromatography (GC; HP 6890, Agilent Technology, Santa Clara, CA, USA). The method detection limit (MDL) was 0.1 ng m−3. In this study, the concentration at 3 times the signal-to-noise ratio was determined as the MDL, and the analysis error of the repeated analysis was 15%.
The methods of determination of the O3, water-soluble inorganic ions, and other chemical compounds, and the calculations for the LWC and pHis in the PM2.5, can be found in our previous study [24].

3.3. Estimation of the Partitioning Coefficients

In this study, the partitioning coefficients of the compounds were calculated using Pankow’s absorptive partitioning theory (Equations (1) and (2)) and Henry’s law (Equation (3)). They are expressed as follows:
K p f = C p C g ×   TSP
K p t = R T f om 10 6 M W O M ζ P L 0 ,   and
eff . K H = C aw P = C P LWC P T C g RT
In Equation (1), K p f (m3 µg−1) denotes the field-measured gas–particle partitioning coefficient, Cp (µg m−3) refers to the concentration of dicarbonyls in the particle phase, Cg (µg m−3) is the concentration of the dicarbonyls in the gas phase, and TSP (µg m−3) is the mass concentration of the suspended particles (the mass concentrations of the PM2.5 were used in this study). In Equation (2), K p t (m3 µg−1) is the theoretical gas–particle partitioning coefficient determined by Pankow’s absorptive model, fom is the absorbing fraction of the total particulate mass, MWOM (g mol−1) denotes the mean molecular weight of the organic phase, and ζ is the activity coefficient of the target compounds. In the estimation of K p t in this study, fom and ζ were unity and MWOM was 200 g mol−1, as has been used in previous studies [18,52]. The vapor pressure ( P L 0 , the primary determinant in the estimation of K p t ) can be calculated using the extended aerosol inorganic model (E-AIM). In Equation (3) [22], Caw is the concentration of the aerosol water (molkg−1 H2O), P is the partial pressure of the compound (atm), Cp is the particulate carbonyl concentration (ng m−3), LWC is the aerosol liquid water (g m−3), PT is the total atmospheric pressure (atm), Cg is the gaseous carbonyl concentration (ng m−3), R represents the ideal gas constant (0.0821 L atm (K mol) −1), and T is the ambient temperature (K).

3.4. Quality Assurance and Quality Control

Since carbonyl compounds are highly volatile and widely present in the atmospheric environment, to reduce experimental errors, the following treatments were conducted before and after the experiment. Before the experiment, flow calibrations and air tightness tests were conducted on the sampler for collecting the gas phase and particle phase samples, and the quartz-filter membrane was burned at a high temperature (450 °C for 8 h). After sampling, the gas-phase sampling head and ozone column were sealed and refrigerated at 4 °C, and the particle-phase samples were sealed with aluminum foil and refrigerated at −20 °C. Blank gas-phase samples were collected by placing a blank DNPH cylinder near the gas inlet for the same time without manual suction. The blank particle-phase sample was collected by placing a blank quartz filter at the PM2.5 inlet and collecting the blank sample in the field for approximately 10 min without sucking air. All data used in this study were corrected with reference to the blank sample.

4. Conclusions

The gas- and particle-phase concentrations, the gas–particle partitioning process, and the factors influencing the concentrations of Gly and mGly at the top and foot of Mount Hua were analyzed. The gas-phase concentrations of Gly and mGly at the top were higher than those at the foot of Mount Hua while the particle-phase concentrations at the foot were higher than at those at the top of Mount Hua. The field observation values for the Pankow’s absorptive partitioning coefficients and Henry’s law constants were 6 and 4–5 orders of magnitude higher than the theoretical values, respectively, and they did not reflect the distribution of Gly and mGly in the atmosphere. The P/G ratios showed that more Gly and mGly were present in the gas phase, confirming that these low-molecular-weight carbonyl compounds can easily volatilize from the particle phase into the gas phase. It is unreasonable to consider only the concentrations of these compounds in the particle phase to analyze their source distributions in the atmosphere. The factors affecting the gas–particle partitioning of volatile materials are complicated. Our research results indicated that RH and PM2.5 affected the two-phase partition transition of Gly and mGly on Mount Hua, and these effects were more significant at the top than at the foot of the mountain. Based on the findings of this study, future research should aim to ascertain the difference between the partitioning coefficients of Gly and mGly and determine the causes of this phenomenon in order to narrow the gap between the theoretical and the observed values in the field.

Author Contributions

Data curation, X.G. and Y.C. (Yue Cao); formal analysis, W.D.; funding acquisition, J.L.; investigation, Y.C. (Yukun Chen); methodology, M.S.; resources, Y.L.; software, Y.Z.; supervision, Y.J.; validation, L.L.; visualization, X.W.; writing—original draft, W.Q.; writing—review and editing, J.L. All authors have read and agreed to the published version of the manuscript.

Funding

This work was jointly supported by the program from National Natural Science Foundation of China (No. 41977332), and the West Light Foundation of the Chinese Academy of Sciences (No. XAB2021YN01). Jianjun Li also acknowledges the support of the Youth Innovation Promotion Association CAS (No. 2020407).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data used in this study are available by request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Shen, H.Q.; Chen, Z.M.; Li, H.; Qian, X.; Qin, X.; Shi, W.X. Gas-Particle Partitioning of Carbonyl Compounds in the Ambient Atmosphere. Environ. Sci. Technol. 2018, 52, 10997–11006. [Google Scholar] [CrossRef]
  2. Cui, J.N.; Sun, M.; Wang, L.; Guo, J.Y.; Xie, G.Y.; Zhang, J.B.; Zhang, R.Q. Gas-particle partitioning of carbonyls and its influencing factors in the urban atmosphere of Zhengzhou, China. Sci. Total Environ. 2021, 751, 142027. [Google Scholar] [CrossRef] [PubMed]
  3. Zhao, R.; Lee, A.K.; Abbatt, J.P. Investigation of aqueous-phase photooxidation of glyoxal and methylglyoxal by aerosol chemical ionization mass spectrometry: Observation of hydroxyhydroperoxide formation. J. Phys. Chem. A 2012, 116, 6253–6263. [Google Scholar] [CrossRef] [PubMed]
  4. Matsunaga, S.N.; Wiedinmyer, C.; Guenther, A.B.; Orlando, J.J.; Karl, T.; Toohey, D.W.; Greenberg, J.P.; Kajii, Y. Isoprene oxidation products are a significant atmospheric aerosol component. Atmos. Chem. Phys. Discuss. 2005, 5, 11143–11156. [Google Scholar]
  5. Knote, C.; Hodzic, A.; Jimenez, J.L.; Volkamer, R.; Orlando, J.J.; Baidar, S.; Brioude, J.; Fast, J.; Gentner, D.R.; Goldstein, A.H.; et al. Simulation of semi-explicit mechanisms of SOA formation from glyoxal in aerosol in a 3-D model. Atmos. Chem. Phys. 2014, 14, 6213–6239. [Google Scholar] [CrossRef] [Green Version]
  6. De Haan, D.O.; Hawkins, L.N.; Welsh, H.G.; Pednekar, R.; Casar, J.R.; Pennington, E.A.; de Loera, A.; Jimenez, N.G.; Symons, M.A.; Zauscher, M. Brown carbon production in ammonium-or amine-containing aerosol particles by reactive uptake of methylglyoxal and photolytic cloud cycling. Environ. Sci. Technol. 2017, 51, 7458–7466. [Google Scholar] [CrossRef]
  7. Lee, H.J.; Aiona, P.K.; Laskin, A.; Laskin, J.; Nizkorodov, S.A. Effect of Solar Radiation on the Optical Properties and Molecular Composition of Laboratory Proxies of Atmospheric Brown Carbon. Environ. Sci. Technol. 2014, 48, 10217–10226. [Google Scholar] [CrossRef] [Green Version]
  8. Feng, Y.; Ramanathan, V.; Kotamarthi, V.R. Brown carbon: A significant atmospheric absorber of solar radiation? Atmos. Chem. Phys. 2013, 13, 8607–8621. [Google Scholar] [CrossRef] [Green Version]
  9. Zhao, R.; Lee, A.K.Y.; Huang, L.; Li, X.; Yang, F.; Abbatt, J.P.D. Photochemical processing of aqueous atmospheric brown carbon. Atmos. Chem. Phys. 2015, 15, 6087–6100. [Google Scholar] [CrossRef] [Green Version]
  10. Pennington, E.A.; Seltzer, K.M.; Murphy, B.N.; Qin, M.; Seinfeld, J.H.; Pye, H.O.T. Modeling secondary organic aerosol formation from volatile chemical products. Atmos. Chem. Phys. 2021, 21, 18247–18261. [Google Scholar] [CrossRef]
  11. Lerot, C.; Müller, J.F.; Theys, N.; De Smedt, I.; Stavrakou, T.; Van Roozendael, M. Satellite evidence for glyoxal depletion in elevated fire plumes. Geophys. Res. Lett. 2023, 50, e2022GL102195. [Google Scholar] [CrossRef]
  12. Jang, M.; Czoschke, N.M.; Lee, S.; Kamens, R.M. Heterogeneous atmospheric aerosol production by acid-catalyzed particle-phase reactions. Science 2002, 298, 814–817. [Google Scholar] [CrossRef] [PubMed]
  13. Shapiro, E.L.; Szprengiel, J.; Sareen, N.; Jen, C.N.; Giordano, M.R.; McNeill, V.F. Light-absorbing secondary organic material formed by glyoxal in aqueous aerosol mimics. Atmos. Chem. Phys. 2009, 9, 2289–2300. [Google Scholar] [CrossRef] [Green Version]
  14. Carlton, A.G.; Turpin, B.J.; Altieri, K.E.; Seitzinger, S.; Reff, A.; Lim, H.-J.; Ervens, B. Atmospheric oxalic acid and SOA production from glyoxal: Results of aqueous photooxidation experiments. Atmos. Environ. 2007, 41, 7588–7602. [Google Scholar] [CrossRef]
  15. Hu, J.L.; Wang, P.; Ying, Q.; Zhang, H.L.; Chen, J.J.; Ge, X.L.; Li, X.H.; Jiang, J.K.; Wang, S.X.; Zhang, J.; et al. Modeling biogenic and anthropogenic secondary organic aerosol in China. Atmos. Chem. Phys. 2017, 17, 77–92. [Google Scholar] [CrossRef] [Green Version]
  16. Li, J.Y.; Mao, J.Q.; Min, K.E.; Washenfelder, R.A.; Brown, S.S.; Kaiser, J.; Keutsch, F.N.; Volkamer, R.; Wolfe, G.M.; Hanisco, T.F.; et al. Observational constraints on glyoxal production from isoprene oxidation and its contribution to organic aerosol over the Southeast United States. J. Geophys. Res. 2016, 121, 9849–9861. [Google Scholar] [CrossRef] [Green Version]
  17. Galloway, M.M.; Loza, C.L.; Chhabra, P.S.; Chan, A.W.H.; Yee, L.D.; Seinfeld, J.H.; Keutsch, F.N. Analysis of photochemical and dark glyoxal uptake: Implications for SOA formation. Geophys. Res. Lett. 2011, 38, 136–147. [Google Scholar] [CrossRef] [Green Version]
  18. Hu, J.C.; Chen, Z.M.; Qin, X.; Dong, P. Reversible and irreversible gas–particle partitioning of dicarbonyl compounds observed in the real atmosphere. Atmos. Chem. Phys. 2022, 22, 6971–6987. [Google Scholar] [CrossRef]
  19. Xie, M.J.; Hannigan, M.P.; Barsanti, K.C. Gas/particle partitioning of 2-methyltetrols and levoglucosan at an urban site in Denver. Environ. Sci. Technol. 2014, 48, 2835–2842. [Google Scholar] [CrossRef]
  20. Wang, G.H.; Kawamura, K.; Cheng, C.L.; Li, J.J.; Cao, J.J.; Zhang, R.J.; Zhang, T.; Liu, S.X.; Zhao, Z.Z. Molecular distribution and stable carbon isotopic composition of dicarboxylic acids, ketocarboxylic acids, and alpha-dicarbonyls in size-resolved atmospheric particles from Xi’an City, China. Environ. Sci. Technol. 2012, 46, 4783–4791. [Google Scholar] [CrossRef]
  21. Lv, S.J.; Wang, F.L.; Wu, C.; Chen, Y.B.; Liu, S.J.; Zhang, S.; Li, D.P.; Du, W.; Zhang, F.; Wang, H.; et al. Gas-to-Aerosol Phase Partitioning of Atmospheric Water-Soluble Organic Compounds at a Rural Site in China: An Enhancing Effect of NH3 on SOA Formation. Environ. Sci. Technol. 2022, 56, 3915–3924. [Google Scholar] [CrossRef] [PubMed]
  22. Mitsuishi, K.; Iwasaki, M.; Takeuchi, M.; Okochi, H.; Kato, S.; Ohira, S.-I.; Toda, K. Diurnal Variations in Partitioning of Atmospheric Glyoxal and Methylglyoxal between Gas and Particles at the Ground Level and in the Free Troposphere. ACS Earth Space Chem. 2018, 2, 915–924. [Google Scholar] [CrossRef]
  23. Cheng, C.L.; Wang, G.H.; Meng, J.J.; Wang, Q.Y.; Cao, J.; Li, J.J.; Wang, J.Y. Size-resolved airborne particulate oxalic and related secondary organic aerosol species in the urban atmosphere of Chengdu, China. Atmos. Res. 2015, 161–162, 134–142. [Google Scholar] [CrossRef]
  24. Shen, M.X.; Qi, W.N.; Guo, X.; Dai, W.T.; Wang, Q.Y.; Liu, Y.L.; Fan, Z.Y.; Cao, Y.; Chen, Y.K.; Lu, L.; et al. Influence of vertical transport on chemical evolution of dicarboxylic acids and related secondary organic aerosol from surface emission to the top of Mount Hua, Northwest China. Sci. Total Environ. 2022, 858 Pt 2, 159892. [Google Scholar] [CrossRef]
  25. Zhang, Y.N.; Xue, L.K.; Dong, C.; Wang, T.; Mellouki, A.; Zhang, Q.Z.; Wang, W.X. Gaseous carbonyls in China’s atmosphere: Tempo-spatial distributions, sources, photochemical formation, and impact on air quality. Atmos. Environ. 2019, 214, 116863. [Google Scholar] [CrossRef]
  26. Zhang, Y.J.; Dan, L.D.; Ge, M.Y.; Dubois, C.; Ke, W.X.; Perrier, S.; Hui, C.; Li, W.H.; Sheng, J.; Qun, L.Y.; et al. Field Detection of Highly Oxygenated Organic Molecules in Shanghai by Chemical Ionization-Orbitrap. Environ. Sci. Technol. 2022, 56, 7608–7617. [Google Scholar] [CrossRef]
  27. Jimenez, J.L.; Canagaratna, M.R.; Donahue, N.M.; Prevot, A.S.; Zhang, Q.; Kroll, J.H.; DeCarlo, P.F.; Allan, J.D.; Coe, H.; Ng, N.L.; et al. Evolution of organic aerosols in the atmosphere. Science 2009, 326, 1525–1529. [Google Scholar] [CrossRef] [PubMed]
  28. Zhu, Y.H.; Yang, L.X.; Chen, J.M.; Kawamura, K.; Sato, M.; Tilgner, A.; van Pinxteren, D.; Chen, Y.; Xue, L.K.; Wang, X.F.; et al. Molecular distributions of dicarboxylic acids, oxocarboxylic acids and α-dicarbonyls in PM2.5 collected at the top of Mt. Tai, North China, during the wheat burning season of 2014. Atmos. Chem. Phys. 2018, 18, 10741–10758. [Google Scholar] [CrossRef] [Green Version]
  29. Meng, J.J.; Wang, G.H.; Hou, Z.F.; Liu, X.D.; Wei, B.J.; Wu, C.; Cao, C.; Wang, J.Y.; Li, J.J.; Cao, J.J.; et al. Molecular distribution and stable carbon isotopic compositions of dicarboxylic acids and related SOA from biogenic sources in the summertime atmosphere of Mt. Tai in the North China Plain. Atmos. Chem. Phys. 2018, 18, 15069–15086. [Google Scholar] [CrossRef] [Green Version]
  30. Xu, R.J.; Li, X.; Dong, H.B.; Wu, Z.J.; Chen, S.Y.; Fang, X.; Gao, J.; Guo, S.; Hu, M.; Li, D.Q.; et al. Measurement of gaseous and particulate formaldehyde in the Yangtze River Delta, China. Atmos. Environ. 2020, 224, 117114. [Google Scholar] [CrossRef]
  31. Healy, R.M.; Wenger, J.C.; Metzger, A.; Duplissy, J.; Kalberer, M.; Dommen, J. Gas/particle partitioning of carbonyls in the photooxidation of isoprene and 1,3,5-trimethylbenzene. Atmos. Chem. Phys. 2008, 8, 3215–3230. [Google Scholar] [CrossRef] [Green Version]
  32. Ortiz, R.; Shimada, S.; Sekiguchi, K.; Wang, Q.; Sakamoto, K. Measurements of changes in the atmospheric partitioning of bifunctional carbonyls near a road in a suburban area. Atmos. Environ. 2013, 81, 554–560. [Google Scholar] [CrossRef]
  33. Suciu, L.G.; Masiello, C.A.; Griffin, R.J. Anhydrosugars as tracers in the Earth system. Biogeochemistry 2019, 146, 209–256. [Google Scholar] [CrossRef]
  34. Xie, M.J.; Hannigan, M.P.; Barsanti, K.C. Gas/particle partitioning of n-alkanes, PAHs and oxygenated PAHs in urban Denver. Atmos. Environ. 2014, 95, 355–362. [Google Scholar] [CrossRef]
  35. Tang, I.N.; Munkelwitz, H.R. Water activities, densities, and refractive indices of aqueous sulfates and sodium nitrate droplets of atmospheric importance. J. Geophys. Res. 1994, 99, 18801–18808. [Google Scholar] [CrossRef]
  36. Ervens, B.; Volkamer, R. Glyoxal processing by aerosol multiphase chemistry: Towards a kinetic modeling framework of secondary organic aerosol formation in aqueous particles. Atmos. Chem. Phys. 2010, 10, 8219–8244. [Google Scholar] [CrossRef] [Green Version]
  37. Sander, R. Compilation of Henry’s law constants (version 4.0) for water as solvent. Atmos. Chem. Phys. 2015, 15, 4399–4981. [Google Scholar] [CrossRef] [Green Version]
  38. Curry, L.A.; Tsui, W.G.; McNeill, V.F. Technical note: Updated parameterization of the reactive uptake of glyoxal and methylglyoxal by atmospheric aerosols and cloud droplets. Atmos. Chem. Phys. 2018, 18, 9823–9830. [Google Scholar] [CrossRef] [Green Version]
  39. Zhao, Y.L.; Kreisberg, N.M.; Worton, D.R.; Isaacman, G.; Weber, R.J.; Liu, S.; Day, D.A.; Russell, L.M.; Markovic, M.Z.; VandenBoer, T.C.; et al. Insights into secondary organic aerosol formation mechanisms from measured gas/particle partitioning of specific organic tracer compounds. Environ. Sci. Technol. 2013, 47, 3781–3787. [Google Scholar] [CrossRef]
  40. Shi, Q.J.; Zhang, W.N.; Ji, Y.M.; Wang, J.X.; Qin, D.D.; Chen, J.; Gao, Y.P.; Li, G.Y.; An, T.C. Enhanced uptake of glyoxal at the acidic nanoparticle interface: Implications for secondary organic aerosol formation. Environ. Sci. Nano 2020, 7, 1126–1135. [Google Scholar] [CrossRef]
  41. Kampf, C.J.; Waxman, E.M.; Slowik, J.G.; Dommen, J.; Pfaffenberger, L.; Praplan, A.P.; Prévôt, A.S.H.; Baltensperger, U.; Hoffmann, T.; Volkamer, R. Effective Henry’s Law Partitioning and the Salting Constant of Glyoxal in Aerosols Containing Sulfate. Environ. Sci. Technol. 2013, 47, 4236–4244. [Google Scholar] [CrossRef] [PubMed]
  42. Jang, M.; Kamens, R.M. Atmospheric secondary aerosol formation by heterogeneous reactions of aldehydes in the presence of a sulfuric acid aerosol catalyst. Environ. Sci. Technol. 2001, 35, 4758–4766. [Google Scholar] [CrossRef] [PubMed]
  43. Sorooshian, A.; Varutbangkul, V.; Brechtel, F.J.; Ervens, B.; Feingold, G.; Bahreini, R.; Murphy, S.M.; Holloway, J.S.; Atlas, E.L.; Buzorius, G.; et al. Oxalic acid in clear and cloudy atmospheres: Analysis of data from International Consortium for Atmospheric Research on Transport and Transformation 2004. J. Geophys. Res. 2006, 111, D23S45. [Google Scholar] [CrossRef]
  44. Shen, C.Y.; Zhang, W.; Choczynski, J.; Davies, J.F.; Zhang, H.F. Phase State and Relative Humidity Regulate the Heterogeneous Oxidation Kinetics and Pathways of Organic-Inorganic Mixed Aerosols. Environ. Sci. Technol. 2022, 56, 15398–15407. [Google Scholar] [CrossRef] [PubMed]
  45. Kroll, J.A.; Hansen, A.S.; Møller, K.H.; Axson, J.L.; Kjaergaard, H.G.; Vaida, V. Ultraviolet Spectroscopy of the Gas Phase Hydration of Methylglyoxal. ACS Earth Space Chem. 2017, 1, 345–352. [Google Scholar] [CrossRef] [Green Version]
  46. Starr, D.E.; Campbell, C.T. Low-Temperature Adsorption Microcalorimetry: Pb on MgO(100) †. J. Phys. Chem. B 2001, 105, 3776–3782. [Google Scholar] [CrossRef]
  47. Peckhaus, A.; Grass, S.; Treuel, L.; Zellner, R. Deliquescence and efflorescence behavior of ternary inorganic/organic/water aerosol particles. J. Chem. Phys. 2012, 116, 6199–6210. [Google Scholar] [CrossRef]
  48. Svenningsson, B.; Rissler, J.; Swietlicki, E.; Mircea, M.; Bilde, M.; Facchini, M.C.; Decesari, S.; Fuzzi, S.; Zhou, J.; Mønster, J.; et al. Hygroscopic growth and critical supersaturations for mixed aerosol particles of inorganic and organic compounds of atmospheric relevance. Atmos. Chem. Phys. 2006, 6, 1937–1952. [Google Scholar] [CrossRef] [Green Version]
  49. Bertram, A.K.; Martin, S.T.; Hanna, S.J.; Smith, M.L.; Bodsworth, A.; Chen, Q.; Kuwata, M.; Liu, A.; You, Y.; Zorn, S.R. Predicting the relative humidities of liquid-liquid phase separation, efflorescence, and deliquescence of mixed particles of ammonium sulfate, organic material, and water using the organic-to-sulfate mass ratio of the particle and the oxygen-to-carbon elemental ratio of the organic component. Atmos. Chem. Phys. 2011, 11, 10995–11006. [Google Scholar]
  50. Veghte, D.P.; Altaf, M.B.; Freedman, M.A. Size dependence of the structure of organic aerosol. J. Am. Chem. Soc. 2013, 135, 16046–16049. [Google Scholar] [CrossRef]
  51. Monforte, P.; Ragusa, M.A. Temperature Trend Analysis and Investigation on a Case of Variability Climate. Mathematics 2022, 10, 2202. [Google Scholar] [CrossRef]
  52. Williams, B.J.; Goldstein, A.H.; Kreisberg, N.M.; Hering, S.V. In situ measurements of gas/particle-phase transitions for atmospheric semivolatile organic compounds. Proc. Natl. Acad. Sci. USA 2010, 107, 6676–6681. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Temporal variations in the concentrations of O3, PM2.5, liquid water content (LWC), pHis, temperature (T), and relative humidity (RH) between the top and foot of Mount Hua in 2020. (a,b) are the temporal variations in the concentrations of O3 and PM2.5 between the top and foot of Mount Hua, respectively. (c,d) are the temporal variations in the concentrations of LWC and pHis between the top and foot of Mount Hua, respectively. (e,f) are the temporal variations in the concentrations of T and RH between the top and foot of Mount Hua, respectively.
Figure 1. Temporal variations in the concentrations of O3, PM2.5, liquid water content (LWC), pHis, temperature (T), and relative humidity (RH) between the top and foot of Mount Hua in 2020. (a,b) are the temporal variations in the concentrations of O3 and PM2.5 between the top and foot of Mount Hua, respectively. (c,d) are the temporal variations in the concentrations of LWC and pHis between the top and foot of Mount Hua, respectively. (e,f) are the temporal variations in the concentrations of T and RH between the top and foot of Mount Hua, respectively.
Molecules 28 05276 g001
Figure 2. Temporal variations in gas-phase (a,b) and particle-phase (c,d) Gly and mGly at Mount Hua in 2020.
Figure 2. Temporal variations in gas-phase (a,b) and particle-phase (c,d) Gly and mGly at Mount Hua in 2020.
Molecules 28 05276 g002
Figure 3. Linear correlations between the log K p f values of Gly and the PM2.5, O3, NH3, pHis, RH, T, SO42−, and NO3 at the top (ad) and the foot (eh) of Mount Hua (for all of the above data, p < 0.01).
Figure 3. Linear correlations between the log K p f values of Gly and the PM2.5, O3, NH3, pHis, RH, T, SO42−, and NO3 at the top (ad) and the foot (eh) of Mount Hua (for all of the above data, p < 0.01).
Molecules 28 05276 g003
Figure 4. Linear correlations between the log K p f values of mGly and the PM2.5, O3, NH3, pHis, RH, T, SO42−, and NO3 at the top (ad) and the foot (eh) of Mount Hua (for all of the above data, p < 0.01).
Figure 4. Linear correlations between the log K p f values of mGly and the PM2.5, O3, NH3, pHis, RH, T, SO42−, and NO3 at the top (ad) and the foot (eh) of Mount Hua (for all of the above data, p < 0.01).
Molecules 28 05276 g004
Table 1. Concentrations of Gly and mGly during different seasons.
Table 1. Concentrations of Gly and mGly during different seasons.
SeasonGas Phase (ppbv)Particle Phase (ng m−3)References
GlymGlyGlymGly
Spring0.02 ± 0.020.12 ± 0.0815.24 ± 17.506.07 ± 2.79[18]
Summer0.13 ± 0.070.87 ± 0.5410.18 ± 6.639.50 ± 5.62
Autumn0.07 ± 0.030.15 ± 0.099.33 ± 4.249.15 ± 3.62
Winter0.06 ± 0.050.11 ± 0.0928.77 ± 25.3314.61 ± 10.15
Autumn0.100.3112.018.27[1]
Spring0.17 ± 0.100.32 ± 0.1461.46 ± 16.2664.33 ± 6.78[2]
Summer0.30 ± 0.130.90 ± 0.3521.33 ± 11.8117.10 ± 9.28
Autumn0.18 ± 0.050.59 ± 0.1530.88 ± 16.7225.42 ± 13.53
Winter0.11 ± 0.040.37 ± 0.1561.46 ± 32.3064.33 ± 33.18
Table 2. K p f and eff.KH of Gly and mGly during different seasons.
Table 2. K p f and eff.KH of Gly and mGly during different seasons.
Season K p f eff.KH (M atm−1)References
GlymGlyGlymGly
Spring1.43 × 10−21.06 × 10−32.53 × 1091.33 × 108[18]
Summer8.11 × 10−41.49 × 10−41.96 × 1084.92 × 107
Autumn2.14 × 10−39.55 × 10−45.08 × 1088.52 × 107
Winter1.30 × 10−22.60 × 10−31.04 × 1092.63 × 108
Autumn1.44 × 10−34.19 × 10−41.66 × 1095.16 × 108[1]
Spring1.33 × 10−3 3.48 × 10−4 2.20 × 109 6.88 × 108 [2]
Summer6.31 × 10−41.40 × 10−42.85 × 1094.81 × 108
Autumn1.05 × 10−3 2.07 × 10−4 2.53 × 1010 4.95 × 109
Winter1.71 × 10−34.27 × 10−41.07 × 1092.44 × 108
  K p f : field-measured gas–particle partitioning coefficient.
Table 3. Field-derived K p f values for Gly and mGly compared with the theoretically predicted K p t values (m3 µg−1).
Table 3. Field-derived K p f values for Gly and mGly compared with the theoretically predicted K p t values (m3 µg−1).
PositionCompound K p f Average K p t K p f / K p t
TopGly4.02 × 10−35.32 × 10−107.55 × 106
mGly1.01 × 10−21.12 × 10−99.08 × 106
FootGly3.59 × 10−33.83 × 10−109.40 × 106
mGly3.43 × 10−38.08 × 10−104.24 × 106
TotalGly3.79 × 10−34.57 × 10−108.30 × 106
mGly6.79 × 10−39.63 × 10−107.05 × 106
Table 4. Partitioning (P/G ratios) for Gly and mGly between the particle and gas phases and the estimated effective Henry’s law constants.
Table 4. Partitioning (P/G ratios) for Gly and mGly between the particle and gas phases and the estimated effective Henry’s law constants.
TopFoot
GlymGlyGlymGly
P/G ratios
Daytime0.016 ± 0.00620.0460 ± 0.04600.0468 ± 0.03330.0857 ± 0.0430
Nighttime0.0266 ± 0.01280.0525 ± 0.01990.0961 ± 0.07470.0622 ± 0.0194
Average0.0188 ± 0.01190.0439 ± 0.03500.0665 ± 0.05590.0740 ± 0.0333
N/D ratio0.799 ± 0.5781.333 ± 1.5191.583 ± 0.9518.022 ± 7.968
Effective Henry’s law constant (mol/kgH2O/atm)
Daytime4.45 × 1089.81 × 1082.21 × 1089.67 × 108
Nighttime2.88 × 1096.82 × 1092.91 × 1083.10 × 108
Abbreviations: P/G ratios, particle/gas ratios; N/D ratio, the nighttime/daytime partitioning ratios; P/G ratio at nighttime (8 p.m.−7 a.m.) versus daytime (8 a.m.−7 p.m.). The theoretical Henry’s law coefficients (KH) of Gly and mGly were 4.14 × 105 and 3.74 × 104 (295 K), respectively [37].
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Qi, W.; Zhang, Y.; Shen, M.; Li, L.; Dai, W.; Chen, Y.; Liu, Y.; Guo, X.; Cao, Y.; Wang, X.; et al. Comparison of Gas–Particle Partitioning of Glyoxal and Methylglyoxal in the Summertime Atmosphere at the Foot and Top of Mount Hua. Molecules 2023, 28, 5276. https://doi.org/10.3390/molecules28135276

AMA Style

Qi W, Zhang Y, Shen M, Li L, Dai W, Chen Y, Liu Y, Guo X, Cao Y, Wang X, et al. Comparison of Gas–Particle Partitioning of Glyoxal and Methylglyoxal in the Summertime Atmosphere at the Foot and Top of Mount Hua. Molecules. 2023; 28(13):5276. https://doi.org/10.3390/molecules28135276

Chicago/Turabian Style

Qi, Weining, Yifan Zhang, Minxia Shen, Lu Li, Wenting Dai, Yukun Chen, Yali Liu, Xiao Guo, Yue Cao, Xin Wang, and et al. 2023. "Comparison of Gas–Particle Partitioning of Glyoxal and Methylglyoxal in the Summertime Atmosphere at the Foot and Top of Mount Hua" Molecules 28, no. 13: 5276. https://doi.org/10.3390/molecules28135276

Article Metrics

Back to TopTop