Elsevier

Atmospheric Environment

Volume 117, September 2015, Pages 99-109
Atmospheric Environment

Modeling and analysis of sampling artifacts in measurements of gas-particle partitioning of semivolatile organic contaminants using filter-sorbent samplers

https://doi.org/10.1016/j.atmosenv.2015.06.053Get rights and content

Highlights

  • A mechanistic model to characterize air sampling process was developed and validated.

  • Positive sampling bias were observed for almost all the target SVOCs.

  • Correlations and plots provided can be used to estimate sampling bias for various SVOCs.

  • Particle penetration may result in underestimation of the gas/particle partition coefficient.

  • The option of backup filters must be considered carefully in field measurements.

Abstract

Measurements of gas/particle partition coefficients for semivolatile organic compounds (SVOCs) using filter-sorbent samplers can be biased if a fraction of gas-phase mass is measured erroneously as particle-phase due to sorption of SVOC gases to the filter, or, if a fraction of particle-phase mass is measured erroneously as gas-phase due to penetration of particles into the sorbent. A fundamental mechanistic model to characterize the air sampling process with filter-sorbent samplers for SVOCs was developed and partially validated. The potential sampling artifacts associated with measurements of gas-particle partitioning were examined for 19 SVOCs. Positive sampling bias (i.e., overestimation of gas/particle partition coefficients) was observed for almost all the SVOCs. For certain compounds, the measured partition coefficient was several orders of magnitude greater than the presumed value. It was found that the sampling artifacts can be ignored when the value of log[Kf/(KpCp,a)] is less than 7. By normalizing the model, general factors that influence the sampling artifacts were investigated. Correlations were obtained between the dimensionless time required for the gas-phase SVOCs within the filter to reach steady state (Ts,s) and the chemical Vp values, which can be used to estimate appropriate sampling time. The potential errors between measured and actual gas/particle partition coefficients of SVOCs as a function of sampling velocity and time were calculated and plotted for a range of SVOCs (vapor pressures: 10−8 ∼ 10−3 Pa). These plots were useful in identifying bias from the sampling in previously-completed field measurements. Penetration of particles into the sorbent may result in significant underestimation of the partition coefficient for particles in the size range between 10 nm and 2 μm. For most of the selected compounds, backup filters can be used to correct artifacts effectively. However, for some compounds with very low vapor pressure, the artifacts remained or became even larger than they were without the backup filter. Thus, the option of backup filters must be considered carefully in field measurements of the gas/particle partitioning of SVOCs. The results of this work will allow researchers to predict potential artifacts associated with SVOC gas/particle partitioning as functions of compounds, the concentration of particles, the distribution of particle sizes, sampling velocity, and sampling time.

Introduction

Semivolatile organic compounds (SVOCs) are a class of chemical compounds that typically have vapor pressure (Vp) values between 10−9 and 10 Pa (Weschler and Nazaroff, 2008). Many SVOCs, such as polycyclic aromatic hydrocarbons (PAHs), polybrominated diphenylethers (PBDEs), polychlorinated biphenyls (PCBs), and phthalates, are persistent organic pollutants that are ubiquitous in ambient and indoor environments. Exposure to some of the SVOCs may result in adverse health effects, including allergic reactions (Bornehag et al., 2004, Jaakkola and Knight, 2008), irreversible changes in the development of the human reproductive tract (Albert and Jégou, 2014, Latini et al., 2006, Saillenfait et al., 2013, Su et al., 2014 and Wolff et al., 2014), neurodevelopmental and behavioral disorders (Le Cann et al., 2011 and Wang et al., 2015), immunotoxicity (Birnbaum, 1994 and Van den Berg et al., 2006), and even cancer (Boström et al., 2002, Denissenko et al., 1996 and Lewtas, 2007).

Inhalation, dermal absorption, and nondietary ingestion of settled dust have been identified as the major exposure pathways to SVOCs (Allen et al., 2007, Frederiksen et al., 2009, Harrad et al., 2006, Meeker et al., 2009, Weschler and Nazaroff, 2010, Weschler and Nazaroff, 2014, Wilson et al., 2009, Xu et al., 2009 and Xu et al., 2010). A number of field campaigns have been conducted to measure air concentrations of SVOCs in indoor (Blanchard et al., 2014, Kolarik et al., 2008, Trabue et al., 2008, Wang et al., 2014 and Xu et al., 2014) and outdoor environments (Albinet et al., 2007, Chao et al., 2003, He and Balasubramanian, 2010, MacLeod et al., 2007 and Xie et al., 2014b). The fate and transport of SVOCs, as well as human exposures to them, can be influenced significantly by gas/particle partitioning. Particle-phase SVOCs are expected to account for a great fraction of the air concentrations due to their low Vp, particularly for compounds with high molecular weight (Wang et al., 2014, Weschler and Nazaroff, 2008 and Weschler et al., 2008). Recent studies have shown that inhalation of particle-phase phthalates is significant because such exposure is capable of creating high local concentrations in airways at the particle deposition site and potentially causing bronchial obstruction (Jaakkola and Knight, 2008, Oie et al., 1997 and Pankow, 2001). Both the location and the efficiency of the deposition of SVOCs in the respiratory tract are dependent strongly on gas/particle partitioning. Furthermore, because the kinetics of gas-particle sorption/desorption are sufficiently rapid (Benning et al., 2013, Odum et al., 1994 and Weschler and Nazaroff, 2008 and Liu et al., 2013), in indoor environments, airborne particles might be important carriers that accelerate the transport of SVOCs from their original sources to other indoor locations through deposition, resuspension and air advection, although particle-phase SVOCs typically have lower characteristic transport distances than the gas-phase in outdoor environments. Therefore, to understand the fate and transport of SVOCs, accurate estimations of the partition coefficients between SVOC gases and particles are necessary (Hung et al., 2013, Melymuk et al., 2014).

Several field measurements were conducted to determine the gas/particle partitioning for SVOCs (Cincinelli et al., 2014, Saral et al., 2015, Wang et al., 2014 and Xie et al., 2014a, Xie et al., 2014b). In those studies, filter-sorbent samplers were used extensively, in which air was pulled through a filter to collect the particle-phase SVOCs and then followed by a sorbent to collect the gas fraction. This technique has been one of the most popular methods of sampling SVOCs over the past 40 years because of its simplicity and its ability to sample large volumes of air (Galarneau and Bidleman, 2006, Melymuk et al., 2014). Although measurements of the total airborne concentrations of SVOCs usually were acceptable, sampling artifacts were identified in the determination of gas/particle partitioning (Ahrens et al., 2011, Melymuk et al., 2014). When gas-phase molecules not being fully trapped by the sorbent, breakthrough happens and results in overestimation of the particle/gas partition coefficient. This positive bias may occur due to saturated sorbents or desorption of compounds from sorbents and is affected by the type and geometry of sampling medium, target compound properties and concentrations, and sampling volume, flow rate, temperature, and humidity (Melymuk et al., 2014). Breakthrough has been investigated extensively in previous studies (Harper, 1993, Peters et al., 2000, Martin et al., 2002 and Galarneau and Harner et al., 2006). In contrast, gas-phase SVOCs may sorb strongly to the filter, thereby increasing the mass of SVOCs on the filter. Mader and Pankow (2000) conducted systematic experiments and found that artifacts could be orders of magnitude for certain SVOC compounds due to their adsorption on the filter (Mader and Pankow, 2000, Mader and Pankow, 2001a). Arp et al. (2007) studied the equilibrium sorption of SVOCs on fiber filters and derived linear free energy relationships for predicting the sorption isotherms. Corrections for the gas/filter adsorption artifacts were made by using a backup filter and subtracting the mass of SVOCs found on the backup filter from the total amount found on the front filter. However, the assumption that the sorption of the SVOCs on the front and backup filters is equal is not valid if the gas/filter sorption equilibrium has not been reached on either of the filters (Mader and Pankow, 2001b). In addition, particles may pass through the filter and subsequently be captured by the gas-phase sorbent material. However, there is limited information on how particles are distributed within the sampler and how the penetration contributes to uncertainty in the gas/particle partitioning of SVOCs.

Theoretical analyses have been conducted to estimate the sampling artifacts associated with various sampling parameters. McDow (1999) presented a basic mass balance model to analyze the adsorption artifacts with various sampling volumes and types of filters. Galarneau and Bidleman (2006) used a simple mathematic model to study the bias due to temperature variations over the sampling period. Mader and Pankow (2001b) examined the partitioning of SVOCs to two types of filters and predicted the magnitude of the compound-dependent gas adsorption artifacts. However, the process of air samples passing through filter-sorbent samplers has not been fully characterized. Typically, some important processes, such as the diffusion of gas-phase SVOCs within the filter, the distribution of particles and particle-phase SVOCs in the filter, and the extent of penetration of particles, have been ignored even though they may have significant impacts on the estimation of sampling artifacts.

The aim of this study was to analyze the sampling artifacts associated with measurements of gas-particle partitioning of SVOCs using filter-sorbent samplers. The specific objectives were to: 1) develop and validate a fundamental mechanistic model to characterize the air sampling process with filter-sorbent samplers for SVOCs; 2) examine the potential sampling artifacts of gas/particle partitioning for a range of SVOC contaminants; and 3) normalize the model and investigate the general factors that influence sampling artifacts and the effectiveness of backup filters. The results of this work can be used by researchers to predict the sampling artifacts in measurements of SVOC gas/particle partitioning as a function of compounds, sampling velocity, sampling duration, and the concentration and size distribution of particles.

Section snippets

Development of the model

Fig. 1 shows a schematic representation of the air sampling process with filter-sorbent samplers. The air is passed through the filter in which the particle-phase SVOCs are expected to be trapped; in addition, gas-phase SVOCs can be captured via adsorption and particle penetration may occur. To simplify the model, we assumed that the air flow through the filter and the mass transfer of SVOC molecules within the filter were one-dimensional. Because breakthrough (i.e., loss of compounds

Estimation of parameters and validation of model

The effective diffusion coefficient of particles in the filter's pores (Dp) was estimated based on the filter's porosity (ε) (Ho and Webb, 2006) and the diffusion coefficient of particles in air (Dp,a). Similarly, the effective diffusion coefficient of gas-phase SVOCs in the filter's pores (Ds) was calculated based on ε and the diffusion coefficient of SVOCs in air (Da). Dp,a is related to particle size and can be determined by using the Stocks–Einstein Equation (Kulkarni et al., 2011). Da was

Results

According the definition of gas/particle partition coefficient for SVOCs (Pankow, 1994), the measured partition coefficient (Kpmea) can be expressed by the measured particle-phase concentration (Cs,p,amea), gas-phase concentration (Cs,g,amea) and particle mass concentration (Cp,amea):Kpmea=Cs,p,ameaCs,g,ameaCp,ameaCp,amea can be determined based on mass balance:Cp,amea=0L[εCp,p+(1ε)Cp,f]dxvtswhere ts is the sampling time. Because a certain amount of gas-phase mass could be measured improperly

Normalization of the model

In order to investigate the general factors that influence the sampling artifacts, it is helpful to nondimensionalize the model. First, dimensionless variables and parameters were defined, including dimensionless linear distance (X; X=x/L), time (T; T=t/L/v), concentration of particles in the filter's pores (Cp,p; Cp,p=Cp,p/Cp,a), concentration of particles captured by the filter's fibers (Cp,f; Cp,f=Cp,f/Cp,a), gas-phase SVOC concentration (Cs,g; Cs,g=Cs,g/Cs,g,a), particle-phase

Conclusions

A fundamental mechanistic model to characterize the air sampling process with filter-sorbent samplers for SVOCs was developed and partially validated. The potential sampling artifacts associated with measurements of gas-particle partitioning were examined for 19 SVOC compounds. Positive sampling bias (i.e., overestimation of gas/particle partition coefficients) was observed for almost all the SVOCs. For certain compounds, the measured partition coefficient was several orders of magnitude

Acknowledgments

Financial support was provided by the National Science Foundation (NSF) of United States (CBET-1150713 and CBET- 1066642), American Society of Heating, Refrigerating and Air Conditioning Engineers (ASHRAE) (Grant-In-Aid and NIA Awards), the National Natural Science Foundation of China (No. 51206134), and the Fundamental Research Funds for the Central Universities of China (2015GIHZ14).

References (70)

  • H. Hung et al.

    Toward the next generation of air quality monitoring: persistent organic pollutants

    Atmos. Environ.

    (2013)
  • B. Kolarik et al.

    The concentrations of phthalates in settled dust in Bulgarian homes in relation to building characteristic and cleaning habits in the family

    Atmos. Environ.

    (2008)
  • G. Latini et al.

    Phthalate exposure and male infertility

    Toxicology

    (2006)
  • P. Le Cann et al.

    Indoor environment and children's health: recent developments in chemical, biological, physical and social aspects

    Int. J. Hyg. Environ. health

    (2011)
  • J. Lewtas

    Air pollution combustion emissions: characterization of causative agents and mechanisms associated with cancer, reproductive, and cardiovascular effects

    Mutat. Research/Reviews Mutat. Res.

    (2007)
  • B.T. Mader et al.

    Gas/solid partitioning of semivolatile organic compounds (SOCs) to air filters. 1. Partitioning of polychlorinated dibenzodioxins, polychlorinated dibenzofurans and polycyclic aromatic hydrocarbons to teflon membrane filters

    Atmos. Environ.

    (2000)
  • B.T. Mader et al.

    Gas/solid partitioning of semivolatile organic compounds (SOCs) to air filters. 2. Partitioning of polychlorinated dibenzodioxins, polychlorinated dibenzofurans, and polycyclic aromatic hydrocarbons to quartz fiber filters

    Atmos. Environ.

    (2001)
  • J.D. Meeker et al.

    Polybrominated diphenyl ether (PBDE) concentrations in house dust are related to hormone levels in men

    Sci. Total Environ.

    (2009)
  • J.F. Pankow

    An absorption model of gas/particle partitioning of organic compounds in the atmosphere

    Atmos. Environ.

    (1994)
  • A.-M. Saillenfait et al.

    Adverse effects of diisooctyl phthalate on the male rat reproductive development following prenatal exposure

    Reprod. Toxicol.

    (2013)
  • A. Saral et al.

    Gas/particle partitioning of PCDD/F compounds in the atmosphere of Istanbul

    Chemosphere

    (2015)
  • L. Song et al.

    Dynamics of colloid deposition in porous media: modeling the role of retained particles

    Colloids Surfaces A Physicochem. Eng. Asp.

    (1993)
  • N. Sun et al.

    A novel two-dimensional model for colloid transport in physically and geochemically heterogeneous porous media

    J. Contam. Hydrol.

    (2001)
  • B.-L. Wang et al.

    Levels of polychlorinated biphenyls in settled house dust from urban dwellings in China and their neurodevelopmental effects on preschool-aged children

    Sci. Total Environ.

    (2015)
  • X. Wang et al.

    Indoor phthalate concentration and exposure in residential and office buildings in Xi'an, China

    Atmos. Environ.

    (2014)
  • C. Weschler et al.

    Semivolatile organic compounds in indoor environments

    Atmos. Environ.

    (2008)
  • C.J. Weschler et al.

    Partitioning of phthalates among the gas phase, airborne particles and settled dust in indoor environments

    Atmos. Environ.

    (2008)
  • M. Xie et al.

    Gas/particle partitioning of n-alkanes, PAHs and oxygenated PAHs in urban Denver

    Atmos. Environ.

    (2014)
  • Y. Xu et al.

    Predicting residential exposure to phthalate plasticizer emitted from vinyl flooring: sensitivity, uncertainty, and implications for biomonitoring

    Environ. Health Perspect.

    (2010)
  • Y. Xu et al.

    Phthalates and polybrominated diphenyl ethers in retail stores

    Atmos. Environ.

    (2014)
  • L. Ahrens et al.

    Comparison of annular diffusion denuder and high volume air samplers for measuring per-and polyfluoroalkyl substances in the atmosphere

    Anal. Chem.

    (2011)
  • O. Albert et al.

    A critical assessment of the endocrine susceptibility of the human testis to phthalates from fetal life to adulthood

    Hum. Reprod. Update

    (2014)
  • J.G. Allen et al.

    Personal exposure to polybrominated diphenyl ethers (PBDEs) in residential indoor air

    Environ. Sci. Technol.

    (2007)
  • J.L. Benning et al.

    Characterizing gas-particle interactions of phthalate plasticizer emitted from vinyl flooring

    Environ. Sci. Technol.

    (2013)
  • L.S. Birnbaum

    The mechanism of dioxin toxicity: relationship to risk assessment

    Environ. Health Perspect.

    (1994)
  • Cited by (0)

    View full text