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Application of low-cost particulate matter sensors for air quality monitoring and exposure assessment in underground mines: A review

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Abstract

Exposure to mining-induced particulate matter (PM) including coal dust and diesel particulate matter (DPM) causes severe respiratory diseases such as coal workers’ pneumoconiosis (CWP) and lung cancer. Limited spatiotemporal resolution of current PM monitors causes miners to be exposed to unknown PM concentrations, with increased overexposure risk. Low-cost PM sensors offer a potential solution to this challenge with their capability in characterizing PM concentrations with high spatiotemporal resolution. However, their application in underground mines has not been explored. With the aim of examining the potential application of low-cost sensors in underground mines, a critical review of the present status of PM sensor research is conducted. The working principles of present PM monitors and low-cost sensors are compared. Sensor error sources are identified, and comprehensive calibration processes are presented to correct them. Evaluation protocols are proposed to evaluate sensor performance prior to deployment, and the potential application of low-cost sensors is discussed.

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References

  1. D.E. Pollock, J.D. Potts, and G.J. Joy, Investigation into dust exposures and mining practices in mines in the southern appalachian region, Min. Eng., 62(2010), No. 2, p. 44.

    Google Scholar 

  2. D.J. Blackley, J.B. Crum, C.N. Halldin, E. Storey, and A.S. Laney, Resurgence of progressive massive fibrosis in coal miners — Eastern Kentucky, 2016, MMWR Morb. Mortal. Week. Rep., 65(2016), No. 49, p. 1385.

    Article  Google Scholar 

  3. T. Moreno, P. Trechera, X. Querol, R. Lah, D. Johnson, A. Wrana, and B. Williamson, Trace element fractionation between PM10 and PM2.5 in coal mine dust: Implications for occupational respiratory health, Int. J. Coal Geol., 203(2019), p. 52.

    Article  CAS  Google Scholar 

  4. P. Chang, G. Xu, and J.X. Huang, Numerical study on DPM dispersion and distribution in an underground development face based on dynamic mesh, Int. J. Min. Sci. Technol., 30(2020), No. 4, p. 471.

    Article  Google Scholar 

  5. M. Thiruvengadam, Y. Zheng, and J.C. Tien, DPM simulation in an underground entry: Comparison between particle and species models, Int. J. Min. Sci. Technol., 26(2016), No. 3, p. 487.

    Article  Google Scholar 

  6. M.E. Birch and J.D. Noll, Submicrometer elemental carbon as a selective measure of diesel particulate matter in coal mines, J. Environ. Monit., 6(2004), No. 10, p. 799.

    Article  CAS  Google Scholar 

  7. Thermo Fisher Scientific, Personal Dust Monitor Model PDM3700: Instruction Manual, Franklin, MA, 2014.

  8. Flir Systems Inc, Flir Airtec™ Diesel Particulate Monitor: Operators Manual, Nashua, NH, 2015

  9. M. Badura, P. Batog, A. Drzeniecka-Osiadacz, and P. Modzel, Evaluation of low-cost sensors for ambient PM2.5 monitoring, J. Sens., 2018(2018), art. No. 5096540.

  10. S. Collingwood, J. Zmoos, L. Pahler, B. Wong, D. Sleeth, and R. Handy, Investigating measurement variation of modified low-cost particle sensors, J. Aerosol Sci., 135(2019), p. 21.

    Article  CAS  Google Scholar 

  11. B. Feenstra, V. Papapostolou, S. Hasheminassab, H. Zhang, B.D. Boghossian, D. Cocker, and A. Polidori, Performance evaluation of twelve low-cost PM2.5 sensors at an ambient air monitoring site, Atmos. Environ., 216(2019), art. No. 116946.

  12. X. Qiao, Q. Zhang, D. Wang, J. Hao, and J. Jiang, Improving data reliability: A quality control practice for low-cost PM2.5 sensor network, Sci. Total Environ., 799(2021), p. 146381.

    Article  CAS  Google Scholar 

  13. K.E. Kelly, J. Whitaker, A. Petty, C. Widmer, A. Dybwad, D. Sleeth, R. Martin, and A. Butterfield, Ambient and laboratory evaluation of a low-cost particulate matter sensor, Environ. Pollut., 221(2017), p. 491.

    Article  CAS  Google Scholar 

  14. D. Back, D. Theisen, W. Seo, C.S.J. Tsai, and D.B. Janes, Development of interdigitated capacitive sensor for real-time monitoring of sub-micron and nanoscale particulate matters in personal sampling device for mining environment, IEEE Sens. J., 20(2020), No. 19, p. 11588.

    Article  CAS  Google Scholar 

  15. M. Alvarado, F. Gonzalez, A. Fletcher, and A. Doshi, Towards the development of a low cost airborne sensing system to monitor dust particles after blasting at open-pit mine sites, Sensors, 15(2015), No. 8, p. 19667.

    Article  Google Scholar 

  16. A. Leavey, Y. Fu, M. Sha, A. Kutta, C.Y. Lu, W.N. Wang, B. Drake, Y.X. Chen, and P. Biswas, Air quality metrics and wireless technology to maximize the energy efficiency of HVAC in a working auditorium, Build. Environ., 85(2015), p. 287.

    Article  Google Scholar 

  17. US-EPA, List of designated reference and equivalent methods, [in] Water Environ. Federation Procedings, North Carolina, 2005, p. 726.

  18. J.C. Volkwein, R.P. Vinson, S.J. Page, L.J. McWilliams, G.J. Joy, S.E. Mischler, and D.P. Tuchman, Laboratory and Field Performance of A Continuously Measuring Personal Respirable Dust Monitor, US Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Cincinnati, OH, 2006.

    Google Scholar 

  19. S.J. Page, J.C. Volkwein, R.P. Vinson, G.J. Joy, S.E. Mischler, D.P. Tuchman, and L.J. McWilliams, Equivalency of a personal dust monitor to the current United States coal mine respirable dust sampler, J. Environ. Monit., 10(2008), No. 1, p. 96.

    Article  CAS  Google Scholar 

  20. J.C. Volkwein, E.D. Thimons, C. Yanak, D. Dunham, H. Patashnick, E. Rupprecht, Implementing a new coal dust monitor as an engineering tool, [in] 6th International Scientific Conference of the International Occupational Hygiene Association Procedings, Pilanesberg, South Africa, 2005, p. 201

    Google Scholar 

  21. J.C. Volkwein, R.P. Vinson, L.J. McWilliams, D.P. Tuchman, and S.E. Mischler, Performance of a New Personal Respirable Dust Monitor for Mine Use, U.S. Department of Health and Human Services, Pittsburgh, PA, 2004

    Google Scholar 

  22. National Institute of Occupational Safety and Health, Diesel Particulate Matter (as Elemental Carbon), 3rd ed., DHHS (NIOSH) Publication, Cincinnati, OH, 2003 [2020-06-10]. https://www.cdc.gov/niosh/docs/2003-154/pdfs/5040.pdf

    Google Scholar 

  23. C. Barrett, E. Sarver, E. Cauda, J. Noll, S. Vanderslice, and J. Volkwein, Comparison of several DPM field monitors for use in underground mining applications, Aerosol Air Qual. Res., 19(2019), No. 11, p. 2367.

    Article  Google Scholar 

  24. M.K. Mensah, K. Mensah-Darkwa, C. Drebenstedt, B.V. Annam, and E.K. Armah, Occupational respirable mine dust and diesel particulate matter hazard assessment in an underground gold mine in Ghana, J. Heal. Pollut., 10(2020), No. 25, p. (200305).

    Article  Google Scholar 

  25. J.D. Noll and S. Janisko, Evaluation of a wearable monitor for measuring real-time diesel particulate matter concentrations in several underground mines, J. Occup. Environ. Hyg., 10(2013), No. 12, p. 716.

    Article  CAS  Google Scholar 

  26. Thermo Scientific, Model pDR-1000AN/1200 Personal DATARAM Instruction Manual, Thermo Fisher Scientific, Franklin, MA, 2013 [2020-08-20]. https://assess.thermofisher.com/TFS-Assets/LSG/manuals/EPM-manual-PDR1000an.pdf

    Google Scholar 

  27. Thermo Scientific, MIE pDR-1500 Instruction Manual, Thermo Fisher Scientific, Franklin, MA, 2017 [2020-08-20]. https://assets.thermofisher.com/TFS-Assets/CAD/manuals/manual-pDR-1500.pdf

    Google Scholar 

  28. G.J. Chekan, J.F. Colinet, F.N. Kissell, J.P. Rider, R.P. Vinson, and J.C. Volkwein, Performance of a Light-Scattering Dust Monitor in Underground Mines, US Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Pittsburgh, PA, 2005.

    Google Scholar 

  29. H. Grimm and D.J. Eatough, Aerosol measurement: The use of optical light scattering for the determination of particulate size distribution, and particulate mass, including the semi-volatile fraction, J. Air Waste Manag. Assoc., 59(2009), No. 1, p. 101.

    Article  CAS  Google Scholar 

  30. M. Kowalska, A. Mainka, and W. Mucha, The usefulness of an optical monitor for the assessment of human exposure to fine dust in indoor air, Medycyna Pracy, 70(2019), No. 2, p. 213.

    Article  Google Scholar 

  31. N. Masson, R. Piedrahita, and M. Hannigan, Approach for quantification of metal oxide type semiconductor gas sensors used for ambient air quality monitoring, Sens. Actuators, B, 208(2015), p. 339.

    Article  CAS  Google Scholar 

  32. M. van den Bossche, N.T. Rose, and S.F.J. de Wekker, Potential of a low-cost gas sensor for atmospheric methane monitoring, Sens. Actuators, B, 238(2017), p. 501.

    Article  CAS  Google Scholar 

  33. J.Y. Li, Recent Advances in Low-cost Particulate Matter Sensor: Calibration and Application [Dissertation], Washington University in St. Louis, St. Louis, 2019.

    Google Scholar 

  34. J.Y. Li and P. Biswas, Optical characterization studies of a low-cost particle sensor, Aerosol Air Qual. Res., 17(2017), No. 7, p. 1691.

    Article  Google Scholar 

  35. M. Budde, R. El Masri, T. Riedel, and M. Beigl, Enabling low-cost particulate matter measurement for participatory sensing scenarios, [in] Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia, Karlsruhe, 2013, art. No. 19.

  36. S. Kelleher, C. Quinn, D. Miller-Lionberg, and J. Volckens, A low-cost particulate matter (PM2.5) monitor for wildland fire smoke, Atmos. Meas. Tech., 11(2018), No. 2, p. 1087.

    Article  Google Scholar 

  37. L.F. Weissert, K. Alberti, G. Miskell, W. Pattinson, J.A. Salmond, G. Henshaw, and D.E. Williams, Low-cost sensors and microscale land use regression: Data fusion to resolve air quality variations with high spatial and temporal resolution, Atmos. Environ., 213(2019), p. 285.

    Article  CAS  Google Scholar 

  38. N. Zimmerman, A.A. Presto, S.P.N. Kumar, J. Gu, A. Hauryliuk, E.S. Robinson, A.L. Robinson, and R. Subramanian, A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring, Atmos. Meas. Tech., 11(2018), No. 1, p. 291.

    Article  CAS  Google Scholar 

  39. R. Piedrahita, Y. Xiang, N. Masson, J. Ortega, A. Collier, Y. Jiang, K. Li, R.P. Dick, Q. Lv, M. Hannigan, and L. Shang, The next generation of low-cost personal air quality sensors for quantitative exposure monitoring, Atmos. Meas. Tech., 7(2014), No. 10, p. 3325.

    Article  Google Scholar 

  40. S.N. Sousan, K. Koehler, L. Hallett, and T.M. Peters, Evaluation of the Alphasense optical particle counter (OPC-N2) and the Grimm portable aerosol spectrometer (PAS-1.108), Aerosol Sci. Technol., 50(2016), No. 12, p. 1352.

    Article  CAS  Google Scholar 

  41. Y. Wang, J.Y. Li, H. Jing, Q. Zhang, J.K. Jiang, and P. Biswas, Laboratory evaluation and calibration of three low-cost particle sensors for particulate matter measurement, Aerosol Sci. Technol., 49(2015), No. 11, p. 1063.

    Article  CAS  Google Scholar 

  42. A. Manikonda, N. Zíková, P.K. Hopke, and A.R. Ferro, Laboratory assessment of low-cost PM monitors, J. Aerosol Sci., 102(2016), p. 29.

    Article  CAS  Google Scholar 

  43. S.N. Sousan, K. Koehler, G. Thomas, J.H. Park, M. Hillman, A. Halterman, and T.M. Peters, Inter-comparison of low-cost sensors for measuring the mass concentration of occupational aerosols, Aerosol Sci. Technol., 50(2016), No. 5, p. 462.

    Article  CAS  Google Scholar 

  44. M. Budde, M. Busse, and M. Beigl, Investigating the use of commodity dust sensors for the embedded measurement of particulate matter, [in] 2012 Ninth International Conference Networked Sensng Systems, Antwerp, 2012, p. 1.

  45. E. Austin, I. Novosselov, E. Seto, and M.G. Yost, Laboratory evaluation of the shinyei PPD42NS low-cost particulate matter sensor, PLoS One, 10(2015), No. 9, art. No. e0137789.

  46. S.N. Sousan, K. Koehler, L. Hallett, and T.M. Peters, Evaluation of consumer monitors to measure particulate matter, J. Aerosol Sci., 107(2017), p. 123.

    Article  CAS  Google Scholar 

  47. C. Lin, J. Gillespie, M.D. Schuder, W. Duberstein, I.J. Beverland, and M.R. Heal, Evaluation and calibration of Aeroqual series 500 portable gas sensors for accurate measurement of ambient ozone and nitrogen dioxide, Atmos. Environ., 100(2015), p. 111.

    Article  CAS  Google Scholar 

  48. M. Budde, M. Köpke, and M. Beigl, Robust in situ data reconstruction from poisson noise for low-cost, mobile, non-expert environmental sensing, [in] Proceedings of the 2015 ACM International Symposium on Wearable Computers, Osaka, 2015, p. 179.

  49. A. Shrivastava and V.B. Gupta, Methods for the determination of limit of detection and limit of quantitation of the analytical methods, Chron. Young Sci., 2(2011), No. 1, p. 21.

    Article  Google Scholar 

  50. A.C. Lewis, J.D. Lee, P.M. Edwards, M.D. Shaw, M.J. Evans, S.J. Moller, K.R. Smith, J.W. Buckley, M. Ellis, S.R. Gillot, and A. White, Evaluating the performance of low cost chemical sensors for air pollution research, Faraday Discuss., 189(2016), p. 85.

    Article  CAS  Google Scholar 

  51. A.C. Rai, P. Kumar, F. Pilla, A.N. Skouloudis, S. Di Sabatino, C. Ratti, A. Yasar, and D. Rickerby, End-user perspective of low-cost sensors for outdoor air pollution monitoring, Sci. Total. Environ., 607–608(2017), p. 691.

    Article  CAS  Google Scholar 

  52. H. Kaiser and H. Specker, Evaluation and comparison of analytical methods, Fresenius’ Z. Anal. Chem., 149(1956), p. 46.

    Article  CAS  Google Scholar 

  53. P. Schneider, N. Castell, M. Vogt, F.R. Dauge, W.A. Lahoz, and A. Bartonova, Mapping urban air quality in near real-time using observations from low-cost sensors and model information, Environ. Int., 106(2017), p. 234.

    Article  CAS  Google Scholar 

  54. N. Castell, F.R. Dauge, P. Schneider, M. Vogt, U. Lerner, B. Fishbain, D. Broday, and A. Bartonova, Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates? Environ. Int., 99(2017), p. 293.

    Article  CAS  Google Scholar 

  55. B. Maag, Z.M. Zhou, and L. Thiele, A survey on sensor calibration in air pollution monitoring deployments, IEEE Internet Things J., 5(2018), No. 6, p. 4857.

    Article  Google Scholar 

  56. M.B. Marinov, S. Hensel, B. Ganev, and G. Nikolov, Performance evaluation of low-cost particulate matter sensors, [in] 2017 XXVI International Scientific Conference Electronics (ET), Sozopol, 2017, p. 1.

  57. R. Jayaratne, X.T. Liu, P. Thai, M. Dunbabin, and L. Morawska, The influence of humidity on the performance of a low-cost air particle mass sensor and the effect of atmospheric fog, Atmos. Meas. Tech., 11(2018), No. 8, p. 4883.

    Article  CAS  Google Scholar 

  58. M.L. Gao, J.J. Cao, and E. Seto, A distributed network of low-cost continuous reading sensors to measure spatiotemporal variations of PM2.5 in Xi’an, China, Environ. Pollut., 199(2015), p. 56.

    Article  CAS  Google Scholar 

  59. M. Canu, B. Galvis, R. Morales, O. Ramírez, and M. Madelin, Understanding the Shinyei PPD24NS low-cost dust sensor, [in] 2018 IEEE International Conference on Environmental Engineering, Milan, 2018, p. 1.

  60. M. Quinten, R. Friehmelt, and K.F. Ebert, Sizing of aggregates of spheres by a white-light optical particle counter with 90° scattering angle, J. Aerosol Sci., 32(2001), No. 1, p. 63.

    Article  CAS  Google Scholar 

  61. J.Y. Kim, S.R. Magari, R.F. Herrick, T.J. Smith, D.C. Christiani, and D.C. Christiani, Comparison of fine particle measurements from a direct-reading instrument and a gravimetric sampling method, J. Occup. Environ. Hyg., 1(2004), No. 11, p. 707.

    Article  CAS  Google Scholar 

  62. J.G. Liu, L.Z. Jin, J.Y. Wang, S.N. Ou, J.Z. Ghio, and T.Y. Wang, Micromorphology and physicochemical properties of hydrophobic blasting dust in iron mines, Int. J. Miner. Metall. Mater., 26(2019), No. 6, p. 665.

    Article  CAS  Google Scholar 

  63. J.G. Liu, L.Z. Jin, J.Y. Wang, S.N. Ou, and T.Y. Wang, Co-influencing mechanisms of physicochemical properties of blasting dust in iron mines on its wettability, Int. J. Miner. Metall. Mater., 26(2019), No. 9, p. 1080.

    Article  CAS  Google Scholar 

  64. O.A.M. Popoola, G.B. Stewart, M.I. Mead, and R.L. Jones, Development of a baseline-temperature correction methodology for electrochemical sensors and its implications for long-term stability, Atmos. Environ., 147(2016), p. 330.

    Article  CAS  Google Scholar 

  65. D. Liu, Q. Zhang, J.K. Jiang, and D.R. Chen, Performance calibration of low-cost and portable particular matter (PM) sensors, J. Aerosol Sci., 112(2017), p. 1.

    Article  CAS  Google Scholar 

  66. K.K. Johnson, M.H. Bergin, A.G. Russell, and G.S.W. Hagler, Field test of several low-cost particulate matter sensors in high and low concentration urban environments, Aerosol Air Qual. Res., 18(2018), No. 3, p. 565.

    Article  CAS  Google Scholar 

  67. W.J. Chou, G.P. Yu, and J.H. Huang, Corrosion resistance of ZrN films on AISI 304 stainless steel substrate, Surf. Coat. Technol., 167(2003), No. 1, p. 59.

    Article  CAS  Google Scholar 

  68. T. Sayahi, D. Kaufman, T. Becnel, K. Kaur, A.E. Butterfield, S. Collingwood, Y. Zhang, P.E. Gaillardon, and K.E. Kelly, Development of a calibration chamber to evaluate the performance of low-cost particulate matter sensors, Environ. Pollut., 255(2019), art. No. 113131.

  69. L. Spinelle, M. Gerboles, M. Aleixandre, and F. Bonavitacola, Evaluation of metal oxides sensors for the monitoring of O3 in ambient air at ppb level, Chem. Eng. Trans., 54(2016), p. 319.

    Google Scholar 

  70. L. Spinelle, M. Gerboles, and M. Aleixandre, Performance evaluation of amperometric sensors for the monitoring of O3 and NO2 in ambient air at ppb level, Procedia Eng., 120(2015), p. 480.

    Article  CAS  Google Scholar 

  71. V. Papapostolou, H. Zhang, B.J. Feenstra, and A. Polidori, Development of an environmental chamber for evaluating the performance of low-cost air quality sensors under controlled conditions, Atmos. Environ., 171(2017), p. 82.

    Article  CAS  Google Scholar 

  72. A. Polidori, V. Papapostolou, H. Zhang, Laboratory Evaluation of Low-Cost Air Quality Sensors, South Coast Air Quality Management District, Diamondbar, CA, 2016, p. 1.

  73. A. Ankilov, A. Baklanov, M. Colhoun, K.H. Enderle, J. Gras, Y. Julanov, D. Kaller, A. Lindner, A.A. Lushnikov, R. Mavliev, F. McGovern, A. Mirme, T.C. O’Connor, J. Podzimek, O. Preining, G.P. Reischl, R. Rudolf, G.J. Sem, and V. Zagaynov, Intercomparison of number concentration measurements by various aerosol particle counters, Atmos. Res., 62(2002), No. 3–4, p. 177.

    Article  CAS  Google Scholar 

  74. A.D. Gillies and H.W. Wu, A new real time personal respirable dust monitor, [in] Coal Operators’ Conference Procedings, Wollongong, 2006, p. 77.

  75. A.L. Northcross, R.J. Edwards, M.A. Johnson, Z.M. Wang, K. Zhu, T. Allen, and K.R. Smith, A low-cost particle counter as a realtime fine-particle mass monitor, Environ. Sci. Process. Impacts, 15(2013), No. 2, p. 433.

    Article  CAS  Google Scholar 

  76. J. Noll and S. Janisko, Using laser absorption techniques to monitor diesel particulate matter exposure in underground stone mines, Proc. SPIE Int. Soc. Opt. Eng., 6759(2007), No. 47, art. No. 67590P.

  77. G. Olivares, I. Longley, and G. Coulson, Development of a low-cost device for observing indoor particle levels associated with source activities in the home, [in] International Society of Eposure Science (ISES), Seattle, WA, 2012, p. 2456.

  78. R. Williams, R. Long, M. Beaver, A. Kaufman, F. Zeiger, and M. Heimbinder, EPA Sensor Evaluation Report, U.S. Environmental Protection Agency, Washington, DC, 2014, p. 1.

    Google Scholar 

  79. B.D. Grover, M. Kleinman, N.L. Eatough, D.J. Eataugh, P.K. Hopke, R.W. Long, W.E. Wilson, M.B. Meyer, and J.L. Ambs, Measurement of total PM2.5 mass (nonvolatile plus semivolatile) with the filter dynamic measurement system tapered element oscillating microbalance monitor, J. Geophys. Res., 110(2005), No. D7, art. No. D07S03.

  80. W. Zhu, F. Kapteijn, and J.A. Moulijn, Diffusion of linear and branched C6 alkanes in silicalite-1 studied by the tapered element oscillating microbalance, Microporous Mesoporous Mater., 47(2001), No. 2–3, p. 157.

    Article  CAS  Google Scholar 

  81. S.N. Sousan, A. Gray, C. Zuidema, L. Stebounova, G. Thomas, K. Koehler, and T. Peters, Sensor selection to improve estimates of particulate matter concentration from a low-cost network, Sensors, 18(2018), No. 9, art. No. 3008.

  82. Y. Jiang, X. Zhu, C. Chen, Y. Ge, W. Wang, Z. Zhao, J. Cai, and H. Kan, On-field and data calibration of low-cost sensor for fine partices exposure assessment, Ecotoxicology and environmental safety, 211(2021), p. 111958.

    Article  CAS  Google Scholar 

  83. L. Spinelle, M. Gerboles, M.G. Villani, M. Aleixandre, and F. Bonavitacola, Field calibration of a cluster of low-cost available sensors for air quality monitoring. Part A: Ozone and nitrogen dioxide, Sens. Actuators B, 215(2015), p. 249.

    Article  CAS  Google Scholar 

  84. X.L. Qin, L.J. Hou, J. Gao, and S.C. Si, The evaluation and optimization of calibration methods for low-cost particulate matter sensors: Inter-comparison between fixed and mobile methods, Sci. Total. Environ., 715(2020), art. No. 136791.

  85. T.S. Zheng, M.H. Bergin, K.K. Johnson, S.N. Tripathi, S. Shirodkar, M.S. Landis, R. Sutaria, and D.E. Carlson, Field evaluation of low-cost particulate matter sensors in high- and low-concentration environments, Atmos. Meas. Tech., 11(2018), No. 8, p. 4823.

    Article  CAS  Google Scholar 

  86. T. Watkins, DRAFT Roadmap for Next Generation Air Monitoring, United States Environmental Protection Agency, 2013 [2020-06-12]. https://www.epg.gov/sites/default/files/2014-09/documents/roadmap-20130308.pdf

  87. L. Spinelle, M. Aleixandre, and M. Gerboles, Protocol of Evaluation and Calibration of Low-Cost Gas Sensors for the Monitoring of Air Pollution, Publication of the European Union, Luxemburg, 2013.

    Google Scholar 

  88. P. Thunis, A. Pederzoli, and D. Pernigotti, Performance criteria to evaluate air quality modeling applications, Atmos. Environ., 59(2012), p. 476.

    Article  CAS  Google Scholar 

  89. I.M. Spitzer, D.R. Marr, and M.N. Glauser, Impact of manikin motion on particle transport in the breathing zone, J. Aerosol Sci., 41(2010), No. 4, p. 373.

    Article  CAS  Google Scholar 

  90. M.D. Taylor, Calibration and Characterization of Low-Cost Fine Particulate Monitors and their Effect on Individual Empowerment [Dissertation], Carnegie Mellon University, Pittsburgh, PA, 2016.

    Google Scholar 

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Acknowledgements

The authors would like to acknowledge the financial support from Women’s Auxiliary to the American Institute of Mining, Metallurgical and Petroleum Engineers (WAAIME) of the Society for Mining, Metallurgy and Exploration (SME) Scholarship Fund for their scholarship to Nana Amoako Amoah during his Ph. D. study.

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Authors and Affiliations

  1. Department of Mining Engineering, Missouri University of Science and Technology, Rolla, Missouri, 65401, USA

    Nana A. Amoah & Guang Xu

  2. Department of Civil, Architectural and Environmental Engineering, Missouri University of Science and Technology, Rolla, Missouri, 65401, USA

    Yang Wang

  3. Department of Bioproducts and Biosystems Engineering, University of Minnesota, St. Paul, MN, 55455, USA

    Jiayu Li

  4. China Coal Technology and Engineering Group Shenyang Research Institute, Fushun, 113122, China

    Yongming Zou

  5. State Key Laboratory of Coal Mine Safety Technology, Fushun, 113122, China

    Yongming Zou

  6. School of Resources and Safety Engineering, Chongqing University, Chongqing, 400044, China

    Baisheng Nie

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  1. Nana A. Amoah
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Correspondence to Guang Xu.

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Amoah, N.A., Xu, G., Wang, Y. et al. Application of low-cost particulate matter sensors for air quality monitoring and exposure assessment in underground mines: A review. Int J Miner Metall Mater 29, 1475–1490 (2022). https://doi.org/10.1007/s12613-021-2378-z

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