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J Expo Sci Environ Epidemiol

Title:		Effects of Corsi-Rosenthal boxes on indoor air contaminants: non-targeted analysis using high resolution mass spectrometry
Author(s):		Manz KE; Dodson RE; Liu Y; Scheidl L; Burks S; Dunn F; Gairola R; Lee NF; Walker ED; Pennell KD; Braun JM;
Address:		"School of Engineering, Brown University, Providence, RI, 02912, USA. katherine_manz@brown.edu. Silent Spring Institute, Newton, MA, 02460, USA. Department of Epidemiology, Brown University, Providence, RI, 02912, USA. School of Engineering, Brown University, Providence, RI, 02912, USA. Department of Epidemiology, Brown University, Providence, RI, 02912, USA. joseph_braun_1@brown.edu"
Journal Title:		J Expo Sci Environ Epidemiol
Year:		2023
Volume:		20230706
Issue:		4
Page Number:		537 - 547
DOI:		10.1038/s41370-023-00577-3
ISSN/ISBN:		1559-064X (Electronic) 1559-0631 (Linking)
Abstract:		"BACKGROUND: In response to COVID-19, attention was drawn to indoor air quality and interventions to mitigate airborne COVID-19 transmission. Of developed interventions, Corsi-Rosenthal (CR) boxes, a do-it-yourself indoor air filter, may have potential co-benefits of reducing indoor air contaminant levels. OBJECTIVE: We employed non-targeted and suspect screening analysis (NTA and SSA) to detect and identify volatile and semi-volatile organic contaminants (VOCs and SVOCs) that decreased in indoor air following installation of CR boxes. METHODS: Using a natural experiment, we sampled indoor air before and during installation of CR boxes in 17 rooms inside an occupied office building. We measured VOCs and SVOCs using gas chromatography (GC) high resolution mass spectrometry (HRMS) with electron ionization (EI) and liquid chromatography (LC) HRMS in negative and positive electrospray ionization (ESI). We examined area count changes during vs. before operation of the CR boxes using linear mixed models. RESULTS: Transformed (log2) area counts of 71 features significantly decreased by 50-100% after CR boxes were installed (False Discovery Rate (FDR) p-value < 0.2). Of the significantly decreased features, four chemicals were identified with Level 1 confidence, 45 were putatively identified with Level 2-4 confidence, and 22 could not be identified (Level 5). Identified and putatively identified features (Level >/=4) that declined included disinfectants (n = 1), fragrance and/or food chemicals (n = 9), nitrogen-containing heterocyclic compounds (n = 4), organophosphate esters (n = 1), polycyclic aromatic hydrocarbons (n = 8), polychlorinated biphenyls (n = 1), pesticides/herbicides/insecticides (n = 18), per- and polyfluorinated alkyl substances (n = 2), phthalates (n = 3), and plasticizers (n = 2). IMPACT STATEMENT: We used SSA and NTA to demonstrate that do-it-yourself Corsi-Rosenthal boxes are an effective means for improving indoor air quality by reducing a wide range of volatile and semi-volatile organic contaminants"
Keywords:		"Humans *Air Pollution, Indoor/analysis *Volatile Organic Compounds/analysis *covid-19 Mass Spectrometry *Polycyclic Aromatic Hydrocarbons/analysis Air quality Corsi-Rosenthal (CR) boxes Exposome High resolution mass spectrometry Interventions Non-targeted;"
Notes:		"MedlineManz, Katherine E Dodson, Robin E Liu, Yun Scheidl, Lukas Burks, Shaunessey Dunn, Fiona Gairola, Richa Lee, Nina Franzen Walker, Erica D Pennell, Kurt D Braun, Joseph M eng R21 ES034187/ES/NIEHS NIH HHS/ Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. 2023/07/07 J Expo Sci Environ Epidemiol. 2023 Jul; 33(4):537-547. doi: 10.1038/s41370-023-00577-3. Epub 2023 Jul 6"