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An Automated Aerosol Collection and Extraction System to Characterize Electronic Cigarette Aerosols
Electronic cigarette (e-cigarette) market increased by 122% during 2014–2020 and is expected to continue growing rapidly. Despite their popularity, e-cigarettes are known to emit dangerous levels of toxic compounds (e.g., carbonyls), but a lack of accurate and efficient testing methods is hindering...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600130/ https://www.ncbi.nlm.nih.gov/pubmed/34805094 http://dx.doi.org/10.3389/fchem.2021.764730 |
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author | Son, Yeongkwon Khlystov, Andrey |
author_facet | Son, Yeongkwon Khlystov, Andrey |
author_sort | Son, Yeongkwon |
collection | PubMed |
description | Electronic cigarette (e-cigarette) market increased by 122% during 2014–2020 and is expected to continue growing rapidly. Despite their popularity, e-cigarettes are known to emit dangerous levels of toxic compounds (e.g., carbonyls), but a lack of accurate and efficient testing methods is hindering the characterization of e-cigarette aerosols emitted by a wide variety of e-cigarette devices, e-liquids, and use patterns. The aim of this study is to fill this gap by developing an automated E-cigarette Aerosol Collection and Extraction System (E-ACES) consisting of a vaping machine and a collection/extraction system. The puffing system was designed to mimic e-cigarette use patterns (i.e., power output and puff topography) by means of a variable power-supply and a flow control system. The sampling system collects e-cigarette aerosols using a combination of glass wool and a continuously wetted denuder. After the collection stage, the system is automatically washed with absorbing and extracting liquids (e.g., methanol, an acetaldehyde-DNPH solution). The entire system is controlled by a computer. E-ACES performance was evaluated against conventional methods during measurements of nicotine and carbonyl emissions from a tank type e-cigarette. Nicotine levels measured using glass fiber filters and E-ACES were not significantly different: 201.2 ± 6.2 and 212.5 ± 17 μg/puff (p = 0.377), respectively. Differences in formaldehyde and acetaldehyde levels between filter-DNPH cartridges and the E-ACES were 14% (p = 0.057) and 13% (p = 0.380), respectively. The E-ACES showed reproducible nicotine and carbonyl testing results for the selected e-cigarette vaping conditions. |
format | Online Article Text |
id | pubmed-8600130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86001302021-11-19 An Automated Aerosol Collection and Extraction System to Characterize Electronic Cigarette Aerosols Son, Yeongkwon Khlystov, Andrey Front Chem Chemistry Electronic cigarette (e-cigarette) market increased by 122% during 2014–2020 and is expected to continue growing rapidly. Despite their popularity, e-cigarettes are known to emit dangerous levels of toxic compounds (e.g., carbonyls), but a lack of accurate and efficient testing methods is hindering the characterization of e-cigarette aerosols emitted by a wide variety of e-cigarette devices, e-liquids, and use patterns. The aim of this study is to fill this gap by developing an automated E-cigarette Aerosol Collection and Extraction System (E-ACES) consisting of a vaping machine and a collection/extraction system. The puffing system was designed to mimic e-cigarette use patterns (i.e., power output and puff topography) by means of a variable power-supply and a flow control system. The sampling system collects e-cigarette aerosols using a combination of glass wool and a continuously wetted denuder. After the collection stage, the system is automatically washed with absorbing and extracting liquids (e.g., methanol, an acetaldehyde-DNPH solution). The entire system is controlled by a computer. E-ACES performance was evaluated against conventional methods during measurements of nicotine and carbonyl emissions from a tank type e-cigarette. Nicotine levels measured using glass fiber filters and E-ACES were not significantly different: 201.2 ± 6.2 and 212.5 ± 17 μg/puff (p = 0.377), respectively. Differences in formaldehyde and acetaldehyde levels between filter-DNPH cartridges and the E-ACES were 14% (p = 0.057) and 13% (p = 0.380), respectively. The E-ACES showed reproducible nicotine and carbonyl testing results for the selected e-cigarette vaping conditions. Frontiers Media S.A. 2021-11-04 /pmc/articles/PMC8600130/ /pubmed/34805094 http://dx.doi.org/10.3389/fchem.2021.764730 Text en Copyright © 2021 Son and Khlystov. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Chemistry Son, Yeongkwon Khlystov, Andrey An Automated Aerosol Collection and Extraction System to Characterize Electronic Cigarette Aerosols |
title | An Automated Aerosol Collection and Extraction System to Characterize Electronic Cigarette Aerosols |
title_full | An Automated Aerosol Collection and Extraction System to Characterize Electronic Cigarette Aerosols |
title_fullStr | An Automated Aerosol Collection and Extraction System to Characterize Electronic Cigarette Aerosols |
title_full_unstemmed | An Automated Aerosol Collection and Extraction System to Characterize Electronic Cigarette Aerosols |
title_short | An Automated Aerosol Collection and Extraction System to Characterize Electronic Cigarette Aerosols |
title_sort | automated aerosol collection and extraction system to characterize electronic cigarette aerosols |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600130/ https://www.ncbi.nlm.nih.gov/pubmed/34805094 http://dx.doi.org/10.3389/fchem.2021.764730 |
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