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Res."],"published-print":{"date-parts":[[2025,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>Low-cost particle monitors have been widely\u00a0evaluated in laboratory and ambient monitoring settings, but we have less knowledge about their performance for long-term indoor and outdoor monitoring in residential settings. We seek to provide practical guidance for using a type of low-cost particle monitors that have become widespread for indoor and outdoor monitoring in community field studies, PurpleAir PA-II monitors. We base our insights on experiences in a community-led residential field study in and around homes of predominantly agricultural workers in California\u2019s San Joaquin Valley. Our guidance spans three categories: (1) providing tools for handling and merging disparate data structures resulting from Wi-Fi-transmitted data and data collected on onboard microSD cards, (2) assessing performance metrics of PA-II monitors from laboratory co-location and field measurements, and (3) assessing data collection success rates of Wi-Fi data transmission and microSD card data acquisition from our study locations. The post-processing methods we demonstrate can successfully align data from both Wi-Fi transmission and microSD cards. Laboratory co-location measurements demonstrated that\u2009&gt;\u200990% of the tested monitors performed well relative to each other (high precision), with only a few problematic monitors that warranted further investigation or exclusion from use. The application of co-location factors generated using the mean of all co-located monitors as a reference did not significantly affect distributions of field-measured indoor or outdoor PM<jats:sub>2.5<\/jats:sub> concentrations. Relying solely on Wi-Fi data transmission in our study would have resulted in large data loss (i.e.,\u2009&lt;\u200950% success rate); using microSD card storage with PA-II-SD monitors increased the data collection success rate to over 80% in these settings. This work contributes to the growing body of knowledge on low-cost particle sensor performance and usability.<\/jats:p>\n          <jats:p>\n            <jats:bold>Graphical abstract<\/jats:bold>\n          <\/jats:p>","DOI":"10.1007\/s44408-025-00048-4","type":"journal-article","created":{"date-parts":[[2025,8,11]],"date-time":"2025-08-11T11:55:25Z","timestamp":1754913325000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Practical Guidance for Using PurpleAir Particle Monitors for Indoor and Outdoor Measurements in Community Field Studies"],"prefix":"10.1007","volume":"25","author":[{"given":"Mingyu","family":"Wang","sequence":"first","affiliation":[]},{"given":"David","family":"Chang","sequence":"additional","affiliation":[]},{"given":"Aditya","family":"Singh","sequence":"additional","affiliation":[]},{"given":"Jeff","family":"Wagner","sequence":"additional","affiliation":[]},{"given":"Zhong-Min","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Brett C.","family":"Singer","sequence":"additional","affiliation":[]},{"given":"Shelly L.","family":"Miller","sequence":"additional","affiliation":[]},{"given":"Nayamin","family":"Martinez","sequence":"additional","affiliation":[]},{"given":"Ruben","family":"Rodriguez","sequence":"additional","affiliation":[]},{"given":"Isabella","family":"Kaser","sequence":"additional","affiliation":[]},{"given":"McKenna","family":"Thompson","sequence":"additional","affiliation":[]},{"given":"Mohammad","family":"Heidarinejad","sequence":"additional","affiliation":[]},{"given":"Brent","family":"Stephens","sequence":"additional","affiliation":[]},{"given":"Gina","family":"Solomon","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,8,11]]},"reference":[{"key":"48_CR1","volume-title":"Open Source Building Science Sensors (OSBSS): A low-cost Arduino-based platform for long-term data collection in indoor environments (Master\u2019s thesis)","author":"AS Ali","year":"2015","unstructured":"Ali AS (2015) Open Source Building Science Sensors (OSBSS): A low-cost Arduino-based platform for long-term data collection in indoor environments (Master\u2019s thesis). 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83578501"]}],"id":[{"id":"10.13039\/100000139","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:sec id=\"sec001\"><jats:title>Background<\/jats:title><jats:p>Ozone (O<jats:sub>3<\/jats:sub>) exposure causes respiratory effects including lung function decrements, increased lung permeability, and airway inflammation. Additionally, baseline metabolic state can predispose individuals to adverse health effects from O<jats:sub>3<\/jats:sub>. For this reason, we conducted an exploratory study to examine the effect of O<jats:sub>3<\/jats:sub>exposure on derivatives of cholesterol biosynthesis: sterols, oxysterols, and secosteroid (25-hydroxyvitamin D) not only in the lung, but also in circulation.<\/jats:p><\/jats:sec><jats:sec id=\"sec002\"><jats:title>Methods<\/jats:title><jats:p>We obtained plasma and induced sputum samples from non-asthmatic (n = 12) and asthmatic (n = 12) adult volunteers 6 hours following exposure to 0.4ppm O<jats:sub>3<\/jats:sub>for 2 hours. We quantified the concentrations of 24 cholesterol precursors and derivatives by UPLC-MS and 30 cytokines by ELISA. We use computational analyses including machine learning to determine whether baseline plasma sterols are predictive of O<jats:sub>3<\/jats:sub>responsiveness.<\/jats:p><\/jats:sec><jats:sec id=\"sec003\"><jats:title>Results<\/jats:title><jats:p>We observed an overall decrease in the concentration of cholesterol precursors and derivatives (e.g. 27-hydroxycholesterol) and an increase in concentration of autooxidation products (e.g. secosterol-B) in sputum samples. In plasma, we saw a significant increase in the concentration of secosterol-B after O<jats:sub>3<\/jats:sub>exposure. Machine learning algorithms showed that plasma cholesterol was a top predictor of O<jats:sub>3<\/jats:sub>responder status based on decrease in FEV1 (&gt;5%). Further, 25-hydroxyvitamin D was positively associated with lung function in non-asthmatic subjects and with sputum uteroglobin, whereas it was inversely associated with sputum myeloperoxidase and neutrophil counts.<\/jats:p><\/jats:sec><jats:sec id=\"sec004\"><jats:title>Conclusion<\/jats:title><jats:p>This study highlights alterations in sterol metabolites in the airway and circulation as potential contributors to systemic health outcomes and predictors of pulmonary and inflammatory responsiveness following O<jats:sub>3<\/jats:sub>exposure.<\/jats:p><\/jats:sec>","DOI":"10.1371\/journal.pone.0285721","type":"journal-article","created":{"date-parts":[[2023,5,15]],"date-time":"2023-05-15T17:29:08Z","timestamp":1684171748000},"page":"e0285721","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":5,"title":["Plasma sterols and vitamin D are correlates and predictors of ozone-induced inflammation in the lung: A pilot study"],"prefix":"10.1371","volume":"18","author":[{"given":"Alexia N.","family":"Perryman","sequence":"first","affiliation":[]},{"given":"Hye-Young H.","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Alexis","family":"Payton","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2882-5042","authenticated-orcid":true,"given":"Julia E.","family":"Rager","sequence":"additional","affiliation":[]},{"given":"Erin E.","family":"McNell","sequence":"additional","affiliation":[]},{"given":"Meghan E.","family":"Rebuli","sequence":"additional","affiliation":[]},{"given":"Heather","family":"Wells","sequence":"additional","affiliation":[]},{"given":"Martha","family":"Almond","sequence":"additional","affiliation":[]},{"given":"Jamie","family":"Antinori","sequence":"additional","affiliation":[]},{"given":"Neil E.","family":"Alexis","sequence":"additional","affiliation":[]},{"given":"Ned A.","family":"Porter","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8728-0305","authenticated-orcid":true,"given":"Ilona","family":"Jaspers","sequence":"additional","affiliation":[]}],"member":"340","published-online":{"date-parts":[[2023,5,15]]},"reference":[{"key":"pone.0285721.ref001","doi-asserted-by":"crossref","first-page":"53","DOI":"10.4137\/BMI.S11102","article-title":"Biomarkers of Dose and Effect of Inhaled Ozone in Resting versus Exercising Human Subjects: Comparison with Resting Rats.","volume":"8","author":"GE Hatch","year":"2013","journal-title":"Biomarker insights."},{"issue":"3","key":"pone.0285721.ref002","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1164\/ajrccm.150.3.8087337","article-title":"Ozone dose and effect in humans and rats. 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