Comparison of next-generation portable pollution monitors to measure exposure to PM_2.5 from household air pollution in Puno, Peru

Vanessa J Burrowes^{1

2

3}, Ricardo Piedrahita⁴, Ajay Pillarisetti^{5

6}, Lindsay J Underhill^{1

2}, Magdalena Fandiño-Del-Rio^{2

7}, Michael Johnson⁴, Josiah L Kephart^{1

2

7}, Stella M Hartinger^{2

8

9}, Kyle Steenland⁶, Luke Naeher¹⁰, Katie Kearns¹⁰, Jennifer L Peel¹¹, Maggie L Clark¹¹, William Checkley^{1

2}; HAPIN Investigators

Collaborators, Affiliations

Collaborators

HAPIN Investigators:
Abidan Nambajimana, Amit Verma, Amy Lovvorn, Anaité Diaz, Aris Papageorghiou, Ashley Toenjes, Ashlinn Quinn, Azhar Nizam, Barry Ryan, Bonnie Young, Dana Barr, Dina Goodman, Eduardo Canuz, Elisa Puzzolo, Eric McCollum, Erick Mollinedo, Fiona Majorin, Florien Ndagijimana, Ghislaine Rosa, Gurusamy Thangavel, Howard Chang, Irma Sayury Pineda Fuentes, J Jaime Miranda, Jean de Dieu Ntivuguruzwa, Jean Uwizeyimana, Jennifer Peel, Jeremy Sarnat, Jiawen Liao, John McCracken, Joshua Rosenthal, Juan Gabriel Espinoza, Julia McPeek Campbell, Kalpana Balakrishnan, Kendra Williams, Kirk Smith, Krishnendu Mukhopadhyay, Lance Waller, Lawrence Moulton, Lindsay Jaacks, Lisa Elon, Lisa Thompson, Margaret Laws, Marilú Chiang, Marjorie Howard, Mary Crocker, Miles Kirby, Naveen Puttaswamy, Oscar De Leon, Phabiola Herrera, Rachel Craik, Rachel Merrick, Sankar Sambandam, Sarada Garg, Sarah Rajkumar, Savannah Gupton, Shakir Hossen, Sheela Sinharoy, Shirin Jabbarzadeh, Steven Harvey, Suzanne Simkovich, Thomas Clasen, Usha Ramakrishnan, Victor G Davila-Roman, Vigneswari Aravindalochanan, Yunyun Chen, Zoe Sakas

Affiliations

¹ Division of Pulmonary and Critical Care, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
² Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
³ Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
⁴ Berkeley Air Monitoring Group, Berkeley, CA, USA.
⁵ Environmental Health Sciences, University of California Berkeley, Berkeley, CA, USA.
⁶ Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA.
⁷ Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
⁸ Facultad de Salud Pública y Administración, Universidad Peruana Cayetano Heredia, Lima, Peru.
⁹ Swiss Tropical and Public Health Institute, Basel, Switzerland.
¹⁰ Department of Environmental Health Sciences, University of Georgia College of Public Health, Athens, GA, USA.
¹¹ Department of Environmental and Radiological Health Sciences, Colorado State University, CO, USA.

PMID: 31885107
PMCID: PMC7217081
DOI: 10.1111/ina.12638

Comparison of next-generation portable pollution monitors to measure exposure to PM_2.5 from household air pollution in Puno, Peru

Vanessa J Burrowes et al. Indoor Air. 2020 May.

. 2020 May;30(3):445-458.

doi: 10.1111/ina.12638. Epub 2020 Jan 23.

Authors

Collaborators

HAPIN Investigators:
Abidan Nambajimana, Amit Verma, Amy Lovvorn, Anaité Diaz, Aris Papageorghiou, Ashley Toenjes, Ashlinn Quinn, Azhar Nizam, Barry Ryan, Bonnie Young, Dana Barr, Dina Goodman, Eduardo Canuz, Elisa Puzzolo, Eric McCollum, Erick Mollinedo, Fiona Majorin, Florien Ndagijimana, Ghislaine Rosa, Gurusamy Thangavel, Howard Chang, Irma Sayury Pineda Fuentes, J Jaime Miranda, Jean de Dieu Ntivuguruzwa, Jean Uwizeyimana, Jennifer Peel, Jeremy Sarnat, Jiawen Liao, John McCracken, Joshua Rosenthal, Juan Gabriel Espinoza, Julia McPeek Campbell, Kalpana Balakrishnan, Kendra Williams, Kirk Smith, Krishnendu Mukhopadhyay, Lance Waller, Lawrence Moulton, Lindsay Jaacks, Lisa Elon, Lisa Thompson, Margaret Laws, Marilú Chiang, Marjorie Howard, Mary Crocker, Miles Kirby, Naveen Puttaswamy, Oscar De Leon, Phabiola Herrera, Rachel Craik, Rachel Merrick, Sankar Sambandam, Sarada Garg, Sarah Rajkumar, Savannah Gupton, Shakir Hossen, Sheela Sinharoy, Shirin Jabbarzadeh, Steven Harvey, Suzanne Simkovich, Thomas Clasen, Usha Ramakrishnan, Victor G Davila-Roman, Vigneswari Aravindalochanan, Yunyun Chen, Zoe Sakas

Affiliations

¹ Division of Pulmonary and Critical Care, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
² Center for Global Non-Communicable Disease Research and Training, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
³ Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
⁴ Berkeley Air Monitoring Group, Berkeley, CA, USA.
⁵ Environmental Health Sciences, University of California Berkeley, Berkeley, CA, USA.
⁶ Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA.
⁷ Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
⁸ Facultad de Salud Pública y Administración, Universidad Peruana Cayetano Heredia, Lima, Peru.
⁹ Swiss Tropical and Public Health Institute, Basel, Switzerland.
¹⁰ Department of Environmental Health Sciences, University of Georgia College of Public Health, Athens, GA, USA.
¹¹ Department of Environmental and Radiological Health Sciences, Colorado State University, CO, USA.

PMID: 31885107
PMCID: PMC7217081
DOI: 10.1111/ina.12638

Abstract

Assessment of personal exposure to PM_2.5 is critical for understanding intervention effectiveness and exposure-response relationships in household air pollution studies. In this pilot study, we compared PM_2.5 concentrations obtained from two next-generation personal exposure monitors (the Enhanced Children MicroPEM or ECM; and the Ultrasonic Personal Air Sampler or UPAS) to those obtained with a traditional Triplex Cyclone and SKC Air Pump (a gravimetric cyclone/pump sampler). We co-located cyclone/pumps with an ECM and UPAS to obtain 24-hour kitchen concentrations and personal exposure measurements. We measured Spearmen correlations and evaluated agreement using the Bland-Altman method. We obtained 215 filters from 72 ECM and 71 UPAS co-locations. Overall, the ECM and the UPAS had similar correlation (ECM ρ = 0.91 vs UPAS ρ = 0.88) and agreement (ECM mean difference of 121.7 µg/m³ vs UPAS mean difference of 93.9 µg/m³ ) with overlapping confidence intervals when compared against the cyclone/pump. When adjusted for the limit of detection, agreement between the devices and the cyclone/pump was also similar for all samples (ECM mean difference of 68.8 µg/m³ vs UPAS mean difference of 65.4 µg/m³ ) and personal exposure samples (ECM mean difference of -3.8 µg/m³ vs UPAS mean difference of -12.9 µg/m³ ). Both the ECM and UPAS produced comparable measurements when compared against a cyclone/pump setup.

Keywords: exposure assessment; fine particulate matter; household air pollution; instrument validation; lower- and middle-income countries; personal exposure.

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Figures

**Figure 1**
(From left to right) – A.) Enhanced Children's MicroPEM (ECM), B.) Ultrasonic Personal Air Sampler (UPAS [photograph from Access Sensor Technologies]), and C.) Triplex Personal Sampling Cyclone with SKC AirChek XR5000 pump [Mesa Labs and SKC]); D.) Shown left to right, the ECM, UPAS, and Cyclone air inlets are co‐located on a customized study apron with holes shaped to the instruments; E.) Medium‐exposure study participant wearing personalized apron with all three co‐located exposure instruments; F.) In‐house installation of birdcage containing ECM, UPAS, and Cyclone machines

**Figure 2**
Correlation graphs comparing: A.) All samples (ECM vs cyclone and pump); B.) All samples (UPAS vs cyclone and pump); C.) Area samples (ECM vs cyclone and pump); D.) Area samples (UPAS vs cyclone and pump); E.) Personal samples (ECM vs pump and cyclone); F.) Personal samples (UPAS vs pump and cyclone)

**Figure 3**
Bland‐Altman plots comparing: A.) All samples (ECM vs cyclone and pump); B.) All samples (UPAS vs cyclone and pump); C.) Area samples (ECM vs pump and cyclone); D.) Area samples (UPAS vs pump and cyclone); E.) Personal samples (ECM vs pump and cyclone); F.) Personal samples (UPAS vs pump and cyclone)

See this image and copyright information in PMC

References

1. Gordon S, Bruce N, Grigg J, et al. Respiratory risks from household air pollution in low and middle income countries. Lancet Respir Med. 2014;2:823‐860. - PMC - PubMed
1. Bonjour S, Adair‐Rohani H, Wolf J, et al. Solid fuel use for household cooking: country and regional estimates for 1980–2010. Environ Health Perspect. 2013;121(7):784‐790. - PMC - PubMed
1. Health Effects Institute . State of Global Air 2019: A special report on global exposure to air pollution and its disease burden. Boston, Massachusetts: Health Effects Institute; 2019. Contract No.: ISSN 2578‐6873.
1. Chow J, Watson J, Mauderly J, et al. Health effects of fine particulate air pollution: lines that connect. J Air Waste Manag Assoc. 2006;56:1368‐1380. - PubMed
1. World Health Organization . Household air pollution and health [Website]. World Health Organization; 2018. [updated May 8, 2018. 2018]: Available from: https://www.who.int/news-room/fact-sheets/detail/household-air-pollution...

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Comparison of next-generation portable pollution monitors to measure exposure to PM_2.5 from household air pollution in Puno, Peru

Collaborators

Affiliations

Comparison of next-generation portable pollution monitors to measure exposure to PM_2.5 from household air pollution in Puno, Peru

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Affiliations

Abstract

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