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Predicting VOC and SVOC Concentrations in Complex Indoor Environments

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Handbook of Indoor Air Quality

Abstract

In this chapter, recent developments in the prediction of VOC and SVOC concentrations in complex indoor environment are reviewed. The fate and transport of VOCs and SVOCs in indoor settings is more complicated than in chambers, and the presence of occupants can greatly affect indoor air quality. First, this chapter addresses multiple VOC emission/sorption of building materials in different indoor settings. Then, VOC emissions from occupants due to the use of personal care products in university classroom are introduced. Following that, the indoor chemistry of VOCs related to ozone/squalene reactions in real residence is given. Aside from VOCs, it is also of concern to predict concentrations and fate of indoor SVOCs to further assess human exposure to these ubiquitous chemicals and their potential health effects. Based on the source emission characteristics of SVOCs, emission models are described as well as critical differences between modeling VOCs and SVOCs. Due to the substantial partitioning of SVOCs among the gas, particle, dust, and surface, partitioning models and correlations for estimating partition coefficients are reviewed. Lastly, the dynamics of SVOCs in different phases are described using fugacity-based and mass-transfer-based models.

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References

  • Anderson SE, Franko JF, Jackson LG, Wells JR, Ham JE, Meade BJ (2012) Irritancy and allergic responses induced by exposure to the indoor air chemical 4-oxopentanal. Toxicol Sci 127:371–381

    CAS  Google Scholar 

  • Ballesteros-Gómez A, Boer J, Leonards P (2013) Novel analytical methods for flame retardants and plasticizers based on gas chromatography, comprehensive two-dimensional gas chromatography, and direct probe coupled to atmospheric pressure chemical ionization-high resolution time-of-flight-mass spectrometry. Anal Chem 85:9572–9580

    Google Scholar 

  • Bennett DH, Furtaw EJ (2004) Fugacity-based indoor residential pesticide fate model. Environ Sci Technol 38(7):2142–2152

    CAS  Google Scholar 

  • Bi C, Liang Y, Xu Y (2015) Fate and transport of phthalates in indoor environments and the influence of temperature: a case study in a test house. Environ Sci Technol 49(16):9674–9681

    CAS  Google Scholar 

  • Brandsma SH, Boer J, Velzen MJM, Leonards PEG (2014) Organophosphorus flame retardants (PFRs) and plasticizers in house and car dust and the influence of electronic equipment. Chemosphere 116:3–9

    CAS  Google Scholar 

  • Cao J, Mo J, Sun Z, Zhang Y (2018) Indoor particle age, a new concept for improving the accuracy of estimating indoor airborne SVOC concentrations, and applications. Build Environ 136:88–97

    Google Scholar 

  • Chen H, Wang C, Wang X, Hao N, Liu J (2005) Determination of phthalate esters in cosmetics by gas chromatography with flame ionization detection and mass spectrometric detection Int. J Cosmet Sci 27:205–210

    CAS  Google Scholar 

  • Chen SJ, Ma YJ, Wang J, Tian M, Luo YJ, Chen D, Mai BX (2010) Measurement and human exposure assessment of brominated flame retardants in household products from South China. J Hazard Mater 176:979–984

    CAS  Google Scholar 

  • Dachs J, Eisenreich SJ (2000) Adsorption onto aerosol soot carbon dominates gas-particle partitioning of polycyclic aromatic hydrocarbons. Environ Sci Technol 34(17):3690–3697

    CAS  Google Scholar 

  • Danish Environmental Protection Agency (2006) Total health assessment of chemicals in indoor climate from various consumer products. Survey of Chemical Substances in Consumer Products. Paper no. 75 2006

    Google Scholar 

  • Deng BQ, Bo Y, Kim CN (2008) An analytical solution for VOCs emission from multiple sources/sinks in buildings. Chin Sci Bull 53:1100–1106

    CAS  Google Scholar 

  • Ernstoff AS, Fantke P, Csiszar SA, Henderson AD, Chung S, Jolliet O (2016) Multi-pathway exposure modeling of chemicals in cosmetics with application to shampoo. Environ Int 92–93:87–96

    Google Scholar 

  • Finizio A, Mackay D, Bidleman T, Harner T (1997) Octanol-air partition coefficient as a predictor of partitioning of semi-volatile organic chemicals to aerosols. Atmos Environ 31(15):2289–2296

    CAS  Google Scholar 

  • Fischer A, Ljungström E, Langer S (2013) Ozone removal by occupants in a classroom. Atmos Environ 81:11–17

    CAS  Google Scholar 

  • Fu D, Leng CB, Kelley J, Zeng G, Zhang YH, Liu Y (2013) ATR-IR study of ozone initiated heterogeneous oxidation of squalene in an indoor environment. Environ Sci Technol 47:10611–10618

    CAS  Google Scholar 

  • Gong M, Zhang Y, Weschler CJ (2014) Predicting dermal absorption of gas-phase chemicals: transient model development, evaluation, and application. Indoor Air 24:292–306

    CAS  Google Scholar 

  • Goss KU (2005) Predicting the equilibrium partitioning of organic compounds using just one linear solvation energy relationship (LSER). Fluid Phase Equilib 233(1):19–22

    CAS  Google Scholar 

  • Huang L, Jolliet O (2019) A quantitative structure-property relationship (QSPR) for estimating solid material-air partition coefficients of organic compounds. Indoor Air 29(1):79–88

    Google Scholar 

  • Huang SD, Xiong JY, Zhang YP (2013) A rapid and accurate method, ventilated chamber C-history method, of measuring the emission characteristic parameters of formaldehyde/VOCs in building materials. J Hazard Mater 261:542–549

    CAS  Google Scholar 

  • Jorgensen RB, Dokka TH, Bjorseth O (2000) Introduction of a sink-diffusion model to describe the interaction between volatile organic compounds (VOCs) and material surfaces. Indoor Air 10:27–38

    CAS  Google Scholar 

  • Lakey PSJ, Wisthaler A, Berkemeier T, Mikoviny T, Poschl U, Shiraiwa M (2017) Chemical kinetics of multiphase reactions between ozone and human skin lipids: implications for indoor air quality and health effects. Indoor Air 27:816–828

    CAS  Google Scholar 

  • Lakey PSJ, Morrison GC, Won Y, Parry KM, von Domaros M, Tobias DJ, Rim D, Shiraiwa M (2019) The impact of clothing on ozone and squalene ozonolysis products in indoor environments. Commun Chem 2:56

    Google Scholar 

  • Liang Y, Bi C, Wang X, Xu Y (2019) A general mechanistic model for predicting the fate and transport of phthalates in indoor environments. Indoor Air 29(1):55–69

    CAS  Google Scholar 

  • Lieberman MW, Lykissa ED, Barrios R, Qu CN, Kala G, Kala SV (1999) Cyclosiloxanes produce fatal liver and lung damage in mice. Environ Health Perspect 107:161–165

    CAS  Google Scholar 

  • Liu C, Shi S, Weschler C, Zhao B, Zhang Y (2013) Analysis of the dynamic interaction between SVOCs and airborne particles. Aerosol Sci Technol 47(2):125–136

    CAS  Google Scholar 

  • Liu YJ, Misztal PK, Xiong JY, Tian YL, Arata C, Weber RJ, Nazaroff WW, Goldstein AH (2019) Characterizing sources and emissions of volatile organic compounds in a northern California residence using space- and time-resolved measurements. Indoor Air 29:630–644

    CAS  Google Scholar 

  • Liu K, Kang L, Li A, Zheng J, Wang X, Zhou X, Wang F (2020) Field investigation on phthalates in settled dust from five different surfaces in residential apartments. Building and Environment 177:106856

    Google Scholar 

  • Lucattini L, Poma G, Covaci A, Boer J, Lamoree M, Leonards P (2018) A review of semi-volatile organic compounds (SVOCs) in the indoor environment: occurrence in consumer products, indoor air and dust. Chemosphere 201:466–482

    Google Scholar 

  • Lyng N, Gunnarsen L, Andersen H (2015) The effect of ventilation on the indoor air concentration of PCB: an intervention study. Build Environ 94(1):305–312

    Google Scholar 

  • Montemayor BP, Price BB, van Egmond RA (2013) Accounting for intended use application in characterizing the contributions of cyclopentasiloxane (D5) to aquatic loadings following personal care product use: antiperspirants, skin care products and hair care products. Chemosphere 93:735–740

    CAS  Google Scholar 

  • Morrison GC, Weschler CJ, Bekö G (2016) Dermal uptake directly from air under transient conditions: advances in modeling and comparisons with experimental results for human subjects. Indoor Air 26:913–924

    CAS  Google Scholar 

  • Pankow JF (1987) Review and comparative analysis of the theories on partitioning between the gas and aerosol particulate phases in the atmosphere. Atmos Environ 21(11):2275–2283

    CAS  Google Scholar 

  • Pankow JF (1994) An absorption model of gas/particle partitioning of organic compounds in the atmosphere. Atmos Environ 28(2):185–188

    CAS  Google Scholar 

  • Partankar S (1980) Numerical heat transfer and fluid flow. McGraw-Hill, New York

    Google Scholar 

  • Pieri F, Katsoyiannis A, Martellini T, Hughes D, Jones KC, Cincinelli A (2013) Occurrence of linear and cyclic volatile methyl siloxanes in indoor air samples (UK and Italy) and their isotopic characterization. Environ Int 59:363–371

    CAS  Google Scholar 

  • Qiao LN, Ma WL, Zhang ZF, Liu LY, Song WW, Jia HL, Zhu HN, Li WL, Macdonald RW, Nikolaev A, Li YF (2021) Slopes and intercepts from log-log correlations of gas/particle quotient and octanol-air partition coefficient (vapor-pressure) for semi-volatile organic compounds: II. Theoretical predictions vs. monitoring. Chemosphere 273:128860

    CAS  Google Scholar 

  • Salthammer T, Schripp T (2015) Application of the Junge- and Pankow-equation for estimating indoor gas/particle distribution and exposure to SVOCs. Atmos Environ 106:467–476

    CAS  Google Scholar 

  • Shi S, Zhao B (2015) Estimating indoor semi-volatile organic compounds (SVOCs) associated with settled dust by an integrated kinetic model accounting for aerosol dynamics. Atmos Environ 107:52–61

    CAS  Google Scholar 

  • Shin HM, McKone TE, Bennett DH (2012) Intake fraction for the indoor environment: a tool for prioritizing indoor chemical sources. Environ Sci Technol 46(18):10063–10072

    CAS  Google Scholar 

  • Shiraiwa M, Pfrang C, Pöschl U (2010) Kinetic multi-layer model of aerosol surface and bulk chemistry (KM-SUB): the influence of interfacial transport and bulk diffusion on the oxidation of oleic acid by ozone. Atmos Chem Phys 10:3673–3691

    CAS  Google Scholar 

  • Singer BC, Hodgson AT, Hotchi T, Ming KY, Sextro RG, Wood EE, Brown NJ (2007) Sorption of organic gases in residential rooms. Atmos Environ 41:3251–3265

    CAS  Google Scholar 

  • Tang X, Misztal PK, Nazaroff WW, Goldstein AH (2015) Siloxanes are the most abundant volatile organic compound emitted from engineering students in a classroom. Environ Sci Technol Lett 2:303–307

    CAS  Google Scholar 

  • Ulrich N, Endo S, Brown T, Watanabe N, Bronner G, Abraham M, Goss K (2017) UFZ-LSER Database v 3.2. 1 [Internet]. Helmholtz Centre for Environmental Research – UFZ, Leipzig

    Google Scholar 

  • Wang HM, Zheng JH, Yang T, He ZC, Zhang P, Liu YF, Zhang MX, Sun LH, Yu XF, Zhao J, Liu XY, Xu BP, Tong LP, Xiong JY (2020) Predicting the emission characteristics of VOCs in a simulated vehicle cabin environment based on small-scale chamber tests: parameter determination and validation. Environ Int 142:105817

    CAS  Google Scholar 

  • Wei W, Mandin C, Blanchard O, Mercier F, Pelletier M, Le Bot B, Glorennec P, Ramalho O (2016) Temperature dependence of the particle/gas partition coefficient: an application to predict indoor gas-phase concentrations of semi-volatile organic compounds. Sci Total Environ 563–564:506–512

    Google Scholar 

  • Wei W, Ramalho O, Mandin C (2019a) A long-term dynamic model for predicting the concentration of semivolatile organic compounds in indoor environments: application to phthalates. Build Environ 148:11–19

    CAS  Google Scholar 

  • Wei W, Mandin C, Blanchard O, Mercier F, Pelletier M, Le Bot B, Glorennec P, Ramalho O (2019b) Semi-volatile organic compounds in French dwellings: an estimation of concentrations in the gas phase and particulate phase from settled dust. Sci Total Environ 650:2742–2750

    CAS  Google Scholar 

  • Weschler CJ (2009) Changes in indoor pollutants since the 1950s. Atmos Environ 43(1):153–169

    CAS  Google Scholar 

  • Weschler CJ (2016) Roles of the human occupant in indoor chemistry. Indoor Air 26:6–24

    CAS  Google Scholar 

  • Weschler CJ, Carslaw N (2018) Indoor chemistry. Environ Sci Technol 52:2419–2428

    CAS  Google Scholar 

  • Weschler CJ, Nazaroff WW (2008) Semivolatile organic compounds in indoor environments. Atmos Environ 42(40):9018–9040

    CAS  Google Scholar 

  • Weschler CJ, Nazaroff WW (2010) SVOC partitioning between the gas phase and settled dust indoors. Atmos Environ 44(30):3609–3620

    CAS  Google Scholar 

  • Weschler CJ, Nazaroff WW (2017) Growth of organic films on indoor surfaces. Indoor Air 27(6):1101–1112

    CAS  Google Scholar 

  • Weschler CJ, Wisthaler A, Cowlin S, Tamás G, Strøm-Tejsen P, Hodgson AT, Destaillats H, Herrington J, Zhang J, Nazaroff WW (2007) Ozone-initiated chemistry in an occupied simulated aircraft cabin. Environ Sci Technol 41:6177–6184

    CAS  Google Scholar 

  • Weschler CJ, Salthammer T, Fromme H (2008) Partitioning of phthalates among the gas phase, airborne particles and settled dust in indoor environments. Atmos Environ 42(7):1449–1460

    CAS  Google Scholar 

  • Wisthaler A, Weschler CJ (2010) Reactions of ozone with human skin lipids: sources of carbonyls, di carbonyls, and hydroxyl carbonyls in indoor air. Proc Natl Acad Sci U S A 107:6568–6575

    CAS  Google Scholar 

  • Wu Y, Eichler CMA, Leng W, Cox SS, Marr LC, Little JC (2017) Adsorption of phthalates on impervious indoor surfaces. Environ Sci Technol 51(5):2907–2913

    CAS  Google Scholar 

  • Xiong JY, Liu C, Zhang YP (2012) A general analytical model for formaldehyde and VOC emission/sorption in single-layer building materials and its application in determining the characteristic parameters. Atmos Environ 47:288–294

    CAS  Google Scholar 

  • Xiong JY, Cao JP, Zhang YP (2016) Early stage C-history method: rapid and accurate determination of the key SVOC emission or sorption parameters of indoor materials. Build Environ 95:314–321

    Google Scholar 

  • Xiong JY, He ZC, Tang XC, Misztal PK, Goldstein AH (2019) Modeling the time-dependent concentrations of primary and secondary reaction products of ozone with squalene in a university classroom. Environ Sci Technol 53:8262–8270

    CAS  Google Scholar 

  • Yang T, Zhang PP, Xu BP, Xiong JY (2017) Predicting VOC emissions from materials in vehicle cabins: determination of the key parameters and the influence of environmental factors. Int J Heat Mass Transf 110:671–679

    CAS  Google Scholar 

  • Yang T, Xiong JY, Tang XC, Misztal PK (2018) Predicting indoor emissions of cyclic volatile methylsiloxanes from the use of personal care products by university students. Environ Sci Technol 52:14208–14215

    CAS  Google Scholar 

  • Yucuis RA, Stanier CO, Hornbuckle KC (2013) Cyclic siloxanes in air, including identification of high levels in Chicago and distinct diurnal variation. Chemosphere 92:905–910

    CAS  Google Scholar 

  • Zhang X, Diamond ML, Ibarra C, Harrad S (2009) Multimedia modeling of polybrominated diphenyl ether emissions and fate indoors. Environ Sci Technol 43(8):2845–2850

    CAS  Google Scholar 

  • Zhang MX, Xiong JY, Liu YJ, Misztal PK, Goldstein AH (2021) Physical–chemical coupling model for characterizing the reaction of ozone with squalene in realistic indoor environments. Environ Sci Technol 55:1690–1698

    CAS  Google Scholar 

  • Zhou SM, Forbes MW, Abbatt JPD (2016) Kinetics and products from heterogeneous oxidation of squalene with ozone. Environ Sci Technol 50:11688–11697

    CAS  Google Scholar 

  • Zhou X, Luo C, Liu K, Wang X (2020) A novel model for predicting the semivolatile organic compound partition coefficient of multicomponent airborne particles. Build Environ 167:106446

    Google Scholar 

  • Zhou X, Lian J, Cheng Y, Wang X (2021) The gas/particle partitioning behavior of phthalate esters in indoor environment: effects of temperature and humidity. Environ Res 194:110681

    CAS  Google Scholar 

  • Zhu JP, Wong SL, Cakmak S (2013) Nationally representative levels of selected volatile organic compounds in Canadian residential indoor air: population-based survey. Environ Sci Technol 47:13276–13283

    CAS  Google Scholar 

  • Xu Y, Zhang JS (2011) Understanding SVOCs. ASHRAE Journal 53(12):121–125

    Google Scholar 

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Correspondence to Xinke Wang .

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Xiong, J., Wang, X., Zhang, Y. (2022). Predicting VOC and SVOC Concentrations in Complex Indoor Environments. In: Zhang, Y., Hopke, P.K., Mandin, C. (eds) Handbook of Indoor Air Quality. Springer, Singapore. https://doi.org/10.1007/978-981-16-7680-2_26

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