Articles | Volume 14, issue 2
Atmos. Meas. Tech., 14, 1037–1045, 2021
https://doi.org/10.5194/amt-14-1037-2021
Atmos. Meas. Tech., 14, 1037–1045, 2021
https://doi.org/10.5194/amt-14-1037-2021

Research article 10 Feb 2021

Research article | 10 Feb 2021

A semicontinuous study on the ecotoxicity of atmospheric particles using a versatile aerosol concentration enrichment system (VACES): development and field characterization

A semicontinuous study on the ecotoxicity of atmospheric particles using a versatile aerosol concentration enrichment system (VACES): development and field characterization
Xiaona Shang1, Ling Li1,2, Xinlian Zhang1, Huihui Kang1, Guodong Sui1, Gehui Wang2, Xingnan Ye1, Hang Xiao3, and Jianmin Chen1,2,3 Xiaona Shang et al.
  • 1Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP³), Department of Environmental Science & Engineering, Institute of Atmospheric Sciences, Fudan University, Shanghai 200438, China
  • 2Institute of Eco-Chongming, 3663 N. Zhongshan Rd., Shanghai 200062, China
  • 3Institute of Eco-Environment, University of Chinese Academy of Sciences, Beijing 100080, China

Correspondence: Jianmin Chen (jmchen@fudan.edu.cn)

Abstract

Oxidative stress can be used to evaluate not only adverse health effects but also adverse ecological effects, but limited research uses eco-toxicological assay to assess the risks posed by particle matters to non-human biomes. One important reason might be that the concentration of toxic components of atmospheric particles is far below the high detection limit of eco-toxic measurement. To solve the rapid detection problem, we extended a versatile aerosol concentration enrichment system (VACES) for ecotoxicity aerosol measurement and firstly used VACES to provide a comparison of ecotoxicity between non-concentrated and concentrated aerosols in ambient air. In this study, the total concentration (number or mass), the concentration of chemical components and the ecotoxicity were all increased by approximately 7 to 10 times in VACES, making the detection of ecotoxicity above the baseline. The comparison of ecotoxicity data and PM2.5 concentration showed that low concentration was not matched with ecotoxicity, although high concentration corresponded to higher ecotoxicity. In addition, the higher saturation temperature in VACES caused a loss of particulate matter, of which nitrate accounted for about 18 %.

1 Introduction

Currently, most toxicological studies focus on discovering the relationship between particulate matter and the morbidity or mortality of organisms (e.g., Vincent et al., 2001; Cox et al., 2016; Miri et al., 2018) or on exploring toxic mechanisms by exposure experiments (e.g., Magnani et al., 2016; Huang et al., 2017; Rychlik et al., 2019). However, the measurement of ecotoxicity data is rarely available because of technical limitations. For instance, it requires a long detection time due to animal and plant reproduction or cell cultivation (National Research Council, 2006), but the concentration and chemical composition of particulate matter in the atmosphere continue to change over time, especially during severe pollution (Shang et al., 2018a, b). Thereby, a short analyzing time is quite important.

To solve this problem, photobacteria (e.g., Photobacterium phosphoreum are utilized in the ecotoxicity study of atmospheric particles because the detection was rapid (e.g., within 15 min) and the cultivation period is only 5 min (Jing et al., 2019). The method of measuring ecotoxicity using photobacterium bioluminescence inhibition bioassay has long been routinely applied and standardized for water and soil research (Water quality, 2007). It had been reported that the Vibrio fischeri EC50 (median effective concentration) significantly correlated to rat and mouse LD50 (the lethal dose for 50 % of the animals tested) values, indicating the reliability of photobacterium-based ecotoxicity assay (Fort, 1992; Kaiser et al., 1994). Recently, photobacteria have also been often used to assess the ecotoxicity of particulate matter and chemical components in the atmosphere. For instance, Turóczi et al. (2012) used Vibrio fischeri to study the ecotoxicity of PM10. This study directly evaluated the overall ecotoxicity of particles from different sources and seasons. Tositti et al. (2018) developed an ecotoxicity detection method using Vibrio fischeri and found that ecotoxicity was closely related to the compositions of PM10. Wang et al. (2016) demonstrated that the PM2.5 components analyzed by Photobacterium Phosphoreum T3 bioassay were ecologically toxic. Eck-Varanka et al. (2019) analyzed the ecotoxicity of size-fractionated particles using Vibrio fischeri. Such literature proved the feasibility of the photobacterium-based method in assessing the ecological toxicity of atmospheric particulate matter. However, the detection limit of ecotoxicity using photobacteria is high. For example, in Jing's research, samples with a light inhibition rate of less than 20 % were considered to be non-toxic due to the impact of normal bacterium fluctuations, whereas the concentration of atmospheric aerosols is usually far lower than that required for eco-toxic assay in the case of a short sampling time (e.g., 1 h), which means a longer sampling time is required. Nevertheless, long-term sampling may lead to a large loss of volatile substances or chemical reactions in the particles, subsequently resulting in large errors in ecotoxicity analysis (von der Weiden et al., 2009).

In this respect, aerosol enrichment techniques have been developed and applied to increase aerosol concentrations to meet ecotoxicity detection limits. Among them, the versatile aerosol concentrator enrichment system (VACES) originally developed by Sioutas et al. (1999) is effectively used to concentrate ambient particles. Since then, it has been widely used for laboratory and field measurements of particulate matter (De Vizcaya-Ruiz et al., 2006; Steenhof et al., 2011; Plummer et al., 2012; Loxham et al., 2013) because the physical and chemical properties do not change after becoming concentrated (Kim et al., 2001a, b; Wang et al., 2013). It has also been extended to combine various chemical and physical analyses of particulate matter (e.g., gases, water-soluble ions, heavy metals, polycyclic aromatic hydrocarbons, cloud condensation nuclei, etc.) (Jung et al., 2010; Freney et al., 2006; Pakbin et al., 2011; Zhao et al., 2005; Dameto et al., 2019). In addition, VACES has been applied to determine the relationship between particulate matter and health effects based on exposure experiments (Klocke et al., 2017; Ljubimova et al., 2018). Nevertheless, although VACES was originally developed to provide technical support for ecotoxicity detection, there is no direct measurement data to show the change in ecotoxicity between ambient particles and VACES particles.

Therefore, according to the previous design, by optimizing technical parameters, we modified and further developed VACES to be integrated into the ecotoxicity measurements, verified the enrichment effect on physiochemical concentration and ecotoxicity in laboratory and field studies, and also investigated the relationship between ecotoxicity and particulate masses.

2 Methodology

2.1 Design of VACES

VACES used a saturation and condensation system to rapidly grow particles into supermicron droplets which were then concentrated by a virtual impactor (VI). A detailed description of the design of VACES is available in previous studies (e.g., Kim et al., 2001a, b). Briefly, when the airflow was sucked into a water tank filled with deionized water (defined as a saturator) with a U-shaped heating tube inside, the particles became supersaturated. A tube was fixed above the outlet of the saturator, and a copper tube coil was tightly wound on the outside to provide fast condensation conditions. A chiller (Bilon, China) filled with ethanol (80 %, Hushi, China) was cooled through the coil. The condensed aerosols were drawn up to a virtual impactor where particle concentration by size was concentrated to a desired level by changing the ratio of the major-to-minor air flow controlled by a mass flow controller (MFC; D08-4F, Sevenstar, China).

https://amt.copernicus.org/articles/14/1037/2021/amt-14-1037-2021-f01

Figure 1Setup for performance test and field sample collection. The experiments referring to VACES including laboratory and field performance tests, discontinuous and continuous sample collections, and their measurements. In the laboratory performance test, air flow passed through the atomizer, VACES (saturator-condensation tube-virtual impactor), Nafion tubing, DMA and CPC successively. For the two field performance tests, in the first one, air flow passed through VACES, Nafion tubing, DMA and CPC successively, and in the second, one air flow passed through the aerosol filter, VACES, Nafion tubing, DMA and CPC successively. During the discontinuous sample collection, particles followed the flow line of VACES to the biosampler. For the continuous sample collection, particles were collected from the PM2.5 sampler, VACES and biosampler to the fraction collector. Both types of collected samples were used for online ionic measurement by ion chromatography and online eco-toxic assay by a photobacterium acute toxicity analyzer (an integrated instrument with automatic operation controlling by a programming).

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2.2 Sampling

Sampling was conducted for several experiments, including a laboratory performance test, a field performance test, discontinuous sample collection and continuous sample collection. The performance test in this study used the enrichment factor (EF) defined as the ratio of concentrated (VACES) to non-concentrated (ambient) particle concentration and the enrichment efficiency (EE) defined as the ratio of the concentrated concentration to 10 times the non-concentrated concentration as a standard. The closer the EF and EE are to 10 % and 100 %, respectively, the better the enrichment effect of VACES. The instrument operating parameters (major air flow, minor air flow, condensation temperature and saturation temperature) were defined as the optimal parameters when the best enrichment effect was obtained. In the laboratory performance test, an atomizer (model 9302, TSI, USA) was used to atomize polystyrene latex (PSL; Thermo Fisher Scientific, USA) to produce 200, 300, 500 and 700 nm particles, respectively (Fig. 1). In one case, after drying the generated PSL particles (Nafion tube, MD-700, Perma Pure, USA), we set the corresponding voltage through a differential mobility analyzer (DMA; model 3081, TSI, USA) for screening, and then they entered the condensation particle counter (CPC; model 3775, TSI, USA) at a flow rate of 0.3 L min−1 for counting. In the other case, PSL particles were introduced into VACES to obtain 10 times the concentration, and then the concentrations were calculated by the system of DMA and CPC after drying. We use four data sets (number and mass) of PSL particles with and without enrichment to draw the EF calibration line. In comparison, the field performance test was similar to the laboratory test. The only difference was the replacement of PSL particles with ambient particles (< 1.0 µm). In addition, during the field performance test, an aerosol filter (ETA Filters, USA) was installed at the inlet of the saturator to remove ambient particles to study the formation of particles in VACES (Fig. 1; the dash line marks the filter location). Then, if no or few particles were observed in CPC, the impact of particle formation in VACES could be excluded or ignored.

In the performance test, we determined the optimal parameters (as defined above) of VACES. Then, we successively carried out discontinuous and continuous VACES particle collection on the sixth floor of the Environmental Science and Engineering Department of Fudan University in Shanghai. We opened the inlet to the ambient air, in which particles were sucked into the saturator at a major flow rate and increased in concentration at a minor flow rate (Kim et al., 2001a). VACES particles were collected in 5 mL of deionized water through a biosampler (SKC, USA) for 30 min and 1 h. In order to study the physiochemical and ecotoxicity differences between VACES particles and environmental particles, we switched the inlet of the biosampler to ambient air after VACES particles were collected; that is to say, 30 min (1 h) VACES samples then 30 min (1 h) environmental samples. From 23 October to 11 December 2019, we obtained a total of 10 sets of 30 min samples and 10 sets of 1 h samples. Therefore, due to time discontinuity, sampling was defined as a discontinuous collection. In contrast, in the continuous sample collection process, we added a PM2.5 sampler (PM-100, Wuhan Tianhong, China) to the inlet of VACES. To achieve continuous VACES particle collection, we added a peristaltic pump (BT100-4, HUXI, China) to the front of the biosampler to pump in deionized water, and connected the outlet of the biosampler to another peristaltic pump to evacuate the sample into an automatic fraction collector (BS-40A, HUXI, China). Pumping in and out was performed at a scheduled time (59 min sleep mode and 1 min work mode) and volume (5 mL). However, the continuous collection of ambient particles was performed by a PM2.5 cyclone (Met one Instruments, USA) at a flow rate of 5 L min−1 and on a 47 mm Teflon filter (Whatman, USA). The filter sampling time is 8 h to meet the detection limit of water-soluble ions. In the end, we collected 88 VACES samples and 11 simultaneous ambient samples from 18 to 31 December 2019. Note that the filter samples were extracted in 10 mL deionized water via 20 min sonication and < 34 C (< 34 C within filter bottle and 45 C out of filter bottle) heating conditions.

2.3 Measurements

All samples were filtered using 0.22 µm pore size filters (Collins, China) and 10 mL sterile syringes (KDL, China). Then, ecotoxicity assay and water-soluble ion measurements were conducted immediately. Regarding the ecotoxicity assay, Jing et al. (2019) provided detailed information. In brief, 100 µL of the prepared bacterial suspension was pipetted into cuvettes to measure the luminous intensity as the baseline. After, the initial luminous intensity was recorded after adding 100 µL of sample. In 15 min, the luminous intensity was recorded again. After subtracting blank intensity tested using NaCl solution (3 %), the light inhibition rate of VACES and ambient particles was calculated according to the international standard procedures (Water quality, 2007). All samples were tested in triplicate and averaged in the present study. To ensure the enrichment effect of the VACES system, we also detected water-soluble ions of both ambient and VACES samples collected during the continuous sampling period using ion chromatography (940 Professional IC Vario, Metrohm, Swiss) integrated with an autosampler (863 Compact Autosampler, Metrohm, Swiss). Moreover, the atmospheric PM2.5 concentration was monitored in a nearby state-controlled site (Liangcheng, Hongkou, Shanghai, China).

3 Results and discussion

3.1 Performance test of VACES

The optimization of VACES is to achieve 10-fold enrichment of ambient aerosol concentration mainly through modulating temperatures of the saturator and chiller, the major air flow, the minor air flow, and their flow ratio. By switching air pathways between ambient and VACES and comparing their number and mass concentrations observed in a scanning mobility particle sizer (SMPS; DMA+CPC), we established optimal parameters for the desired EF (10) and EE (100 %). Results showed that the EF of 10 could be achieved for particles larger than  30 nm as setting the optimal parameters of 19 ± 1 C condensation temperature, 45 ± 2 C water bath temperature, 50 ± 1 L min−1 major air flow and 1/10 minor-to-major air flow ratio. It should be noted that after mixing with ambient aerosol stream (ambient temperature was no more than 24 C during experiment period), the saturation temperature was decreased to 31 C or lower, thereby reducing the loss of volatile and semi-volatile compounds (Pirhadi et al., 2020). The corresponding EE ranged from 75 % to 100 % in different size ranges as listed in Table 1. The highest EE was obtained in the size range of 30–100 nm, very close to 100 %.

Table 1Enrichment efficiency of ambient aerosols in VACES at different size ranges.

 NA: not available.

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For the laboratory performance test, the number concentrations of VACES and ambient PSL particles were alternatively measured six times in parallel. The EF calibration line was plotted by the number concentration in four sizes of VACES particles against ambient particles. It showed a quite high correlation coefficient (r2=0.9999), and the EF of VACES was 10 approximately (Fig. 2).

https://amt.copernicus.org/articles/14/1037/2021/amt-14-1037-2021-f02

Figure 2Calibration of enrichment factor of VACES system using polystyrene latex (PSL) aerosol reagent 200–700 nm in size. Error bars are the standard deviation of six parallel measurements.

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https://amt.copernicus.org/articles/14/1037/2021/amt-14-1037-2021-f03

Figure 3Particle (a, c) number and (b, d) mass size distribution in ambient and VACES systems. The error bar is standard deviation of three parallel experiments.

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Similarly, we measured the number and mass concentrations of particulate matter in the field performance test. When the concentration coordinate value of VACES was set to 10 times that of ambient air, the two curves almost coincided for particle size greater than 25 nm (Fig. 3a and b), indicating that the EE was close to 100 %. In addition, the investigation of particle formation in VACES showed that the maximum of newly formed particles in size was only  1 % of the total number and mass concentration (Fig. 3c and d), which could be neglected. Moreover, the mass peak always appeared in the same particle size with a similar concentration, which indicated that it was most likely to be a water vapor peak and not a newly formed particle in the system.

3.2 Ecotoxicity variation in VACES particles

The study evaluated the ecotoxicity by the light inhibition rate of photobacteria; the higher the value is, the higher the ecotoxicity is. The light inhibition rate was calculated by multiplying by 100 the ratio of the changes in fluorescence intensity (between treated and untreated medium) to the intensity of untreated medium. The untreated medium meant only bacteria in medium, and treated medium corresponded to a sample adding in bacteria medium. Discontinuous sampling was operated under PM2.5 concentrations ranging from 21 to 187 µg m−3. During the sampling period, the photobacterium light inhibition rate of almost all ambient samples was lower than the baseline (20 %). On the contrary, the rate of all VACES samples was higher than 20 % (Fig. 4a and b). Note that since bacteria are sensitive to environmental condition, it is difficult to determine whether the sample is non-toxic or toxic as the inhibition rate is lower than the baseline. It implied that the increase in ecotoxicity caused by the increase in particulate concentration could avoid the inaccurate assessment of particulate ecotoxicity in the range below the baseline. In addition, when the concentration was low, the change in the light inhibition rate of ambient particles did not match the concentration of environmental PM2.5. However, under high concentrations of PM2.5, they matched better. During the continuous sampling period, PM2.5 concentrations varied from 14 to 107 µg m−3. The light inhibition of both ambient and VACES particles exhibited similar trends to the change in PM2.5 concentration (a strong positive correlation, r2>0.7) (Fig. 5). Note that as the data points of low PM2.5 concentration were removed, the correlation coefficient increased. Both experiments indicated that as the concentration of PM2.5 decreased, the impact of concentration on ecotoxicity might be weakened, and the ecotoxicity may be caused mainly by the toxic chemical components in the particles (Akhtar et al., 2014). In this regard, the effects of key toxic components on ecotoxicity changes need to be further studied using VACES.

https://amt.copernicus.org/articles/14/1037/2021/amt-14-1037-2021-f04

Figure 4Comparison of light inhibition rate and ratio of ambient and VACES particles with ambient PM2.5 concentration based on (a) hourly and (b) 30 min discontinuous sample collection during 23 October–11 December 2019 in Shanghai, China. Baseline reflected the accuracy of photobacterium-based ecotoxicity assay method, and below the baseline, the accuracy is low.

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https://amt.copernicus.org/articles/14/1037/2021/amt-14-1037-2021-f05

Figure 5Comparison of light inhibition rate between ambient and VACES particles based on continuous sampling of VACES and ambient particles. VACES samples were collected hourly and ambient filter samples were collected every 8 h. The PM2.5 concentration data were collected hourly from a nearby monitoring center (online data).

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https://amt.copernicus.org/articles/14/1037/2021/amt-14-1037-2021-f06

Figure 6Enrichment factors of chemical compositions and light inhibition of PM2.5 during the continuous sampling period. The EF was calculated by the ratio of chemical concentrations of VACES to ambient particles. The component concentration of VACES particles was 1 h per sample, and the concentration of ambient particles was 8 h per sample. For the ratio, we averaged the concentrations of VACES samples every 8 h to correspond to that of ambient samples.

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The change in EF was roughly the reversal of the trend of the light inhibition rate of the ambient and VACES particles (Fig. 4). The main reason was that the increase in the light inhibition rate of VACES particles was lower than that of the ambient particles at high PM2.5 concentrations. Comparing the EF changes in chemical components, it was found that when the ratio of light inhibition rate of VACES to ambient particles decreased, the EF corresponding to nitrate also decreased (Fig. 6). It showed that under high PM2.5 concentrations, the EE of VACES for high-concentration nitrate was reduced, which was probably attributed to the loss of nitrate in VACES at a higher saturation temperature (about 7 higher than the ambient air). According to calculations, among the VACES particle concentration loss (average of 20.1 % during entire experiment period), nitrate accounted for 18.0 %. Therefore, under the premise of providing sufficient water vapor, reducing the saturation temperature or reducing the deviation from the ambient temperature was an important way to improve the enrichment effect of VACES.

4 Conclusions and implications

To achieve detection limits for atmospheric particulate ecotoxicity, a versatile aerosol concentration enrichment system (VACES) was extended to be integrated with ecotoxicity measurements. The VACES was developed to increase particle concentrations by about 7–10 times under the conditions of chiller temperature (19 ± 1 C), saturator temperature (45 ± 2 C; supersaturation temperature was less than 31 C), major air flow (50 ± 1 L min−1) and minor-to-major flow ratio (1/10). We conducted discontinuous and continuous sample collections to analyze the ecotoxicity of VACES and ambient particles at half-hour and 1 h time resolutions, respectively. It was found that the ecotoxicity of almost all ambient samples below the detection baseline like the ambient PM2.5 concentration varied from 14 to 187 µg m−3. After enrichment, however, the ecotoxicity was clearly detected for almost all samples, proving the feasibility of the integrated system on rapid ecotoxicity assay. In addition, by comparing the change in the ambient PM2.5 concentration with the light inhibition rate of ambient and VACES particles, it was found that as the concentration of PM2.5 decreased, the correlation between the PM2.5 concentration and the light inhibition rate was significantly weakened. It meant that at low concentrations of particulate matter, the impact of concentration on ecotoxicity was greatly reduced, and the interference with ecotoxicity might be the change in toxic components. Moreover, during the high PM2.5 concentration period, the ecotoxicity of VACES particles and the EF were significantly weakened or reduced due to the loss of nitrate in a relatively high-temperature VACES system, which provided guidance for improving the enrichment effect of VACES.

Data availability

Data are available by contacting the corresponding author.

Author contributions

XS and JC designed the experiments. XS performed the experiment, analyzed the data and wrote the paper. XZ, HK, LL, GS and XY assisted with bio-toxicity and enrichment experiments. GW and HX helped by providing suggestions in paper revisions.

Competing interests

The authors declare that they have no conflict of interest.

Acknowledgements

This work was funded by National Natural Science Foundation of China (grant nos. 21527814, 91843301, 91743202, 22006021).

Financial support

This research has been supported by the National Natural Science Foundation of China (grant nos. 21527814, 91843301, 91743202, and 22006021).

Review statement

This paper was edited by Paolo Laj and reviewed by two anonymous referees.

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Short summary
Oxidative stress can be used to evaluate not only adverse health effects but also adverse ecological effects. However, little research uses eco-toxicological assay to assess the risks posed by particle matter to non-human biomes. One important reason might be that the concentration of toxic components of atmospheric particles is far below the high detection limit of eco-toxic measurement. To solve the rapid detection problem, we extended a VACES for ecotoxicity aerosol measurement.