Quali-quantitative Scanning Electron Microscope elemental analysis of in-cabin particulate matter

Authors

  • Davide Campagnolo Department of Science and High Technology, University of Insubria, Como
  • Andrea Cattaneo Department of Science and High Technology, University of Insubria, Como
  • Gabriele Carugati Department of Science and High Technology, University of Insubria, Como
  • Francesca Borghi Department of Science and High Technology, University of Insubria, Como
  • Giacomo Fanti Department of Science and High Technology, University of Insubria, Como
  • Marta Keller Department of Science and High Technology, University of Insubria, Como
  • Sabrina Rovelli Università  degli Studi dell'Insubria, Como
  • Andrea Spinazzè Department of Science and High Technology, University of Insubria, Como
  • Domenico Maria Cavallo Department of Science and High Technology, University of Insubria, Como

DOI:

https://doi.org/10.36125/ijoehy.v12i4.409

Keywords:

Vehicle environment, Particles, Elemental size-distribution, Traffic-related sources, Cabin filtration

Abstract

The present research is dedicated to the investigation of PM fractions (PM10 and PM2.5), but also including their differential fractions (i.e., PM2.5-10, PM1-2.5, PM0.5-1, PM0.25-0.5, PM0.25) collected inside a vehicle cabin. PM levels were characterized both in terms of concentration levels and chemical elemental composition (percentage composition).

The PM concentrations were measured gravimetrically by means of a personal cascade impactor sampler (PCIS) that was located on the passenger seat with the sampling inlet at the height of a seated passenger’s head. The samplings were carried-out two times per day (outward trip and return trip during morning and evening commuter rush hours, respectively) on a pre-determined route that included several types of main roads during two sampling campaigns. The study vehicle was a Euro 6 petrol-fuelled car. For all the samplings, the in-cabin ventilation settings were set as follows: windows closed, air conditioning off, recirculation fan off, fanned ventilation system on a moderate setting (2 on a scale of 1–4). To reduce any driver-related behavioural effect, the study vehicle was driven by the same operator who was always alone inside the cabin.

In-cabin PM10 and PM2.5 mean concentrations were compared with daily averages measured at two fixed air quality stations located near the sampling route at urban contexts. This comparison was affected by spatial and temporal dissimilarities and, consequently, it was only indicative. The outcomes showed that in-cabin PM10 and PM2.5 levels were up to three times lower than urban concentrations measured at fixed air quality stations. That difference may be probably attributed to cabin protection especially against coarse particles penetration from outdoor environment. Another comparison was also performed on in-cabin PM fractions and it was found that PM0.25 (called quasi-ultrafine fraction) showed the highest concentration levels (from 4 to 20 times higher than the other PM fractions). In this regard, the main explanation could be related to the fact that most of the particles emitted by light-duty vehicles are very small, with median size of the order 100 nm. Moreover, as reported in literature, the cabin filtration efficiency was extremely lower for particles with an aerodynamic diameter between 80 nm and 300 nm.

Four PM fractions (PM2.5-10, PM1-2.5, PM0.5-1, PM0.25-0.5) were also analysed using Scanning Electron Microscope with Energy Dispersive Spectrometer. Several images of the collected particles were captured and quali-quantitative analyses were performed. Based on the quali-quantitative data, the size percentage distribution was built per each element and a preliminary source interpretation suggested the presence of crustal sources, re-suspended sources of local soils, road pavement erosion and other particles previously deposited on the ground and traffic sources from exhaust and non-exhaust emissions. The quali-quantitative results also showed that Sulphur weight percentage was higher in PM0.25-0.5 (i.e., the finest fraction analysed by SEM-EDS) than in the other ones, probably due to secondary sulphates and traffic emissions. In conclusion, this survey highlighted the importance to study the exposure to PM inside vehicle cabins, paying particular attention on PM0.25. It also suggested that future studies should be focused on exposure assessment to PM0.25 of professional drivers, in terms of PM concentration levels, elemental characterization and source identification.

References

Amato, F., Pandolfi, M., Viana, M., Querol, X., Alastuey, A., Moreno, T., 2009. Spatial and chemical patterns of PM10 in road dust deposited in urban environment. Atmospheric Environment 43, 1650–1659. https://doi.org/10.1016/j.atmosenv.2008.12.009

Arhami, M., MinguillÃ3n, M.C., Polidori, A., Schauer, J.J., Delfino, R.J., Sioutas, C., 2010. Organic compound characterization and source apportionment of indoor and outdoor quasi-ultrafine particulate matter in retirement homes of the Los Angeles Basin. Indoor Air 20, 17–30. https://doi.org/10.1111/j.1600-0668.2009.00620.x

Bernardoni, V., 2011. PM10 source apportionment in Milan (Italy) using time-resolved data. Science of the Total Environment 8.

Campagnolo, D., Cattaneo, A., Corbella, L., Borghi, F., Del Buono, L., Rovelli, S., Spinazzé, A., Cavallo, D.M., 2019. In-vehicle airborne fine and ultra-fine particulate matter exposure: The impact of leading vehicle emissions. Environment International 123, 407–416. https://doi.org/10.1016/j.envint.2018.12.020

Canepari, S., Perrino, C., 2013. Evaluation of industrial sources contribution to atmospheric particulate matter. Italian Journal of Occupational and Environmental Hygiene 4(4), 182-186.

Cattaneo, A., Taronna, M., Garramone, G., Peruzzo, C., Schlitt, C., Consonni, D., Cavallo, D.M., 2010. Comparison between Personal and Individual Exposure to Urban Air Pollutants. Aerosol Science and Technology 44, 370–379. https://doi.org/10.1080/02786821003662934

Chen, X., Zhang, Z., Engling, G., Zhang, R., Tao, J., Lin, M., Sang, X., Chan, C., Li, S., Li, Y., 2014. Characterization of fine particulate black carbon in Guangzhou, a megacity of South China. Atmospheric Pollution Research 5, 361–370. https://doi.org/10.5094/APR.2014.042

Chen, X.-C., Cao, J.-J., Ward, T.J., Tian, L.-W., Ning, Z., Gali, N.K., Aquilina, N.J., Yim, S.H.-L., Qu, L., Ho, K.-F., 2020. Characteristics and toxicological effects of commuter exposure to black carbon and metal components of fine particles (PM2.5) in Hong Kong. Science of The Total Environment 742, 140501. https://doi.org/10.1016/j.scitotenv.2020.140501

Cohen, A.J., Brauer, M., Burnett, R., Anderson, H.R., Frostad, J., Estep, K., Balakrishnan, K., Brunekreef, B., Dandona, L., Dandona, R., Feigin, V., Freedman, G., Hubbell, B., Jobling, A., Kan, H., Knibbs, L., Liu, Y., Martin, R., Morawska, L., Pope, C.A., Shin, H., Straif, K., Shaddick, G., Thomas, M., van Dingenen, R., van Donkelaar, A., Vos, T., Murray, C.J.L., Forouzanfar, M.H., 2017. Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015. The Lancet 389, 1907–1918. https://doi.org/10.1016/S0140-6736(17)30505-6

Commission Regulation (EU) No 136/2014 of 11 February 2014 amending Directive 2007/46/EC of the European Parliament and of the Council, Commission Regulation (EC) No 692/2008 as regards emissions from light passenger and commercial vehicles (Euro 5 and Euro 6) and Commission Regulation (EU) No 582/2011 as regards emissions from heavy duty vehicles (Euro VI)Text with EEA relevance, n.d. 35.

Del Buono, L., Campagnolo, D., Keller, M., Spinazzè, A., Rovelli, S., Borghi, F., Cattaneo, A., Bollati, V., Cavallo, D.M., 2017. Monitoring and georeferencing of personal exposure to atmospheric particulate. Italian Journal of Occupational and Environmental Hygiene 8(3), 113-119.

Ding, H., Zhang, Y., Sun, H., Feng, L., 2015. Analysis of the PM2.5 Distribution and the Transfer Characteristic in a Car-Cabin. Procedia Engineering 121, 875–880. https://doi.org/10.1016/j.proeng.2015.09.043

Dockery, D.W., Pope, C.A., 1994. Acute Respiratory Effects of Particulate Air Pollution 26.

Dockery, D.W., Pope, C.A., Xu, X., Spengler, J.D., Ware, J.H., Fay, M.E., Ferris, B.G., Speizer, F.E., 1993. An Association between Air Pollution and Mortality in Six U.S. Cities. N Engl J Med 329, 1753–1759. https://doi.org/10.1056/NEJM199312093292401

Espinosa, A.J.F., Ternero Rodrı́guez, M., Barragán de la Rosa, F.J., Jiménez Sánchez, J.C., 2001. Size distribution of metals in urban aerosols in Seville (Spain). Atmospheric Environment 35, 2595–2601. https://doi.org/10.1016/S1352-2310(00)00403-9

Garg, B.D., Cadle, S.H., Mulawa, P.A., Groblicki, P.J., Laroo, C., Parr, G.A., 2000. Brake Wear Particulate Matter Emissions. Environ. Sci. Technol. 34, 4463–4469. https://doi.org/10.1021/es001108h

Harrison, R.M., Allan, J., Carruthers, D., Heal, M.R., Lewis, A.C., Marner, B., Murrells, T., Williams, A., 2021. Non-exhaust vehicle emissions of particulate matter and VOC from road traffic: A review. Atmospheric Environment 262, 118592. https://doi.org/10.1016/j.atmosenv.2021.118592

Karanasiou, A.A., Siskos, P.A., Eleftheriadis, K., 2009. Assessment of source apportionment by Positive Matrix Factorization analysis on fine and coarse urban aerosol size fractions. Atmospheric Environment 43, 3385–3395. https://doi.org/10.1016/j.atmosenv.2009.03.051

Kim, E., Hopke, P.K., 2007. Source Identifications of Airborne Fine Particles Using Positive Matrix Factorization and U.S. Environmental Protection Agency Positive Matrix Factorization. Journal of the Air & Waste Management Association 57, 811–819. https://doi.org/10.3155/1047-3289.57.7.811

Kousoulidou, M., Fontaras, G., Ntziachristos, L., Bonnel, P., Samaras, Z., Dilara, P., 2013. Use of portable emissions measurement system (PEMS) for the development and validation of passenger car emission factors. Atmospheric Environment 64, 329–338. https://doi.org/10.1016/j.atmosenv.2012.09.062

Krall, J.R., Ladva, C.N., Russell, A.G., Golan, R., Peng, X., Shi, G., Greenwald, R., Raysoni, A.U., Waller, L.A., Sarnat, J.A., 2018. Source-specific pollution exposure and associations with pulmonary response in the Atlanta Commuters Exposure Studies. J Expo Sci Environ Epidemiol 28, 337–347. https://doi.org/10.1038/s41370-017-0016-7

Kumar, P., Ketzel, M., Vardoulakis, S., Pirjola, L., Britter, R., 2011. Dynamics and dispersion modelling of nanoparticles from road traffic in the urban atmospheric environment—A review. Journal of Aerosol Science 42, 580–603. https://doi.org/10.1016/j.jaerosci.2011.06.001

Leavey, A., Reed, N., Patel, S., Bradley, K., Kulkarni, P., Biswas, P., 2017. Comparing on-road real-time simultaneous in-cabin and outdoor particulate and gaseous concentrations for a range of ventilation scenarios. Atmospheric Environment 166, 130–141. https://doi.org/10.1016/j.atmosenv.2017.07.016

Liati, A., Dimopoulos Eggenschwiler, P., Müller Gubler, E., Schreiber, D., Aguirre, M., 2012. Investigation of diesel ash particulate matter: A scanning electron microscope and transmission electron microscope study. Atmospheric Environment 49, 391–402. https://doi.org/10.1016/j.atmosenv.2011.10.035

Lough, G.C., Schauer, J.J., Park, J.-S., Shafer, M.M., DeMinter, J.T., Weinstein, J.P., 2005. Emissions of Metals Associated with Motor Vehicle Roadways. Environ. Sci. Technol. 39, 826–836. https://doi.org/10.1021/es048715f

Lowenthal, D.H., Zielinska, B., Chow, J.C., Watson, J.G., Gautam, M., Ferguson, D.H., Neuroth, G.R., Stevens, K.D., 1994. Characterization of heavy-duty diesel vehicle emissions. Atmospheric Environment 28, 731–743. https://doi.org/10.1016/1352-2310(94)90050-7

Manoli, E., Voutsa, D., Samara, C., 2002. Chemical characterization and source identification/apportionment of fine and coarse air particles in Thessaloniki, Greece. Atmospheric Environment 36, 949–961. https://doi.org/10.1016/S1352-2310(01)00486-1

Marcazzan, G.M., Ceriani, M., Valli, G., Vecchi, R., 2004. Composition, components and sources of fine aerosol fractions using multielemental EDXRF analysis. X-Ray Spectrom. 33, 267–272. https://doi.org/10.1002/xrs.719

Minguillón, M.C., Cirach, M., Hoek, G., Brunekreef, B., Tsai, M., de Hoogh, K., Jedynska, A., Kooter, I.M., Nieuwenhuijsen, M., Querol, X., 2014. Spatial variability of trace elements and sources for improved exposure assessment in Barcelona. Atmospheric Environment 89, 268–281. https://doi.org/10.1016/j.atmosenv.2014.02.047

Minguillón, M.C., Reche, C., Martins, V., Amato, F., de Miguel, E., Capdevila, M., Centelles, S., Querol, X., Moreno, T., 2018. Aerosol sources in subway environments. Environmental Research 167, 314–328. https://doi.org/10.1016/j.envres.2018.07.034

Misra, C., Singh, M., Shen, S., Sioutas, C., Hall, P.M., 2002. Development and evaluation of a personal cascade impactor sampler (PCIS). Journal of Aerosol Science 33, 1027–1047. https://doi.org/10.1016/S0021-8502(02)00055-1

Pope, C.A., Burnett, R.T., Thurston, G.D., Thun, M.J., Calle, E.E., Krewski, D., Godleski, J.J., 2004. Cardiovascular Mortality and Long-Term Exposure to Particulate Air Pollution: Epidemiological Evidence of General Pathophysiological Pathways of Disease. Circulation 109, 71–77. https://doi.org/10.1161/01.CIR.0000108927.80044.7F

Querol, X., Viana, M., Alastuey, A., Amato, F., Moreno, T., Castillo, S., Pey, J., de la Rosa, J., Sánchez de la Campa, A., Artíñano, B., Salvador, P., García Dos Santos, S., Fernández-Patier, R., Moreno-Grau, S., Negral, L., Minguillón, M.C., Monfort, E., Gil, J.I., Inza, A., Ortega, L.A., Santamaría, J.M., Zabalza, J., 2007. Source origin of trace elements in PM from regional background, urban and industrial sites of Spain. Atmospheric Environment 41, 7219–7231. https://doi.org/10.1016/j.atmosenv.2007.05.022

Rickeard, D.J., Bateman, J.R., Kwon, Y.K., McAughey, J.J., Dickens, C.J., 1996. Exhaust Particulate Size Distribution: Vehicle and Fuel Influences in Light Duty Vehicles. Presented at the 1996 SAE International Fall Fuels and Lubricants Meeting and Exhibition, p. 961980. https://doi.org/10.4271/961980

Spinazzè, A., Fanti, G., Borghi, F., Del Buono, L., Campagnolo, D., Rovelli, S., Cattaneo, A., Cavallo, D.M., 2017. Field comparison of instruments for exposure assessment of airborne ultrafine particles and particulate matter. Atmospheric Environment 154, 274–284. https://doi.org/10.1016/j.atmosenv.2017.01.054

Vaaraslahti, K., Keskinen, J., Giechaskiel, B., Solla, A., Murtonen, T., Vesala, H., 2005. Effect of Lubricant on the Formation of Heavy-Duty Diesel Exhaust Nanoparticles. Environ. Sci. Technol. 39, 8497–8504. https://doi.org/10.1021/es0505503

Xu, B., Liu, S., Liu, J., Zhu, Y., 2011. Effects of Vehicle Cabin Filter Efficiency on Ultrafine Particle Concentration Ratios Measured In-Cabin and On-Roadway. Aerosol Science and Technology 45, 234–243. https://doi.org/10.1080/02786826.2010.531792

Yang, F., Kaul, D., Wong, K.C., Westerdahl, D., Sun, L., Ho, K., Tian, L., Brimblecombe, P., Ning, Z., 2015. Heterogeneity of passenger exposure to air pollutants in public transport microenvironments. Atmospheric Environment 109, 42–51. https://doi.org/10.1016/j.atmosenv.2015.03.009

Zannoni, D., Valotto, G., Visin, F., Rampazzo, G., 2016. Sources and distribution of tracer elements in road dust: The Venice mainland case of study. Journal of Geochemical Exploration 166, 64–72. https://doi.org/10.1016/j.gexplo.2016.04.007

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Published

2022-08-31