Literature DB >> 30220464

Influence of puffing conditions on the carbonyl composition of e-cigarette aerosols.

Nicolas Beauval1, Marie Verrièle2, Anne Garat3, Isabelle Fronval2, Romain Dusautoir3, Sébastien Anthérieu3, Guillaume Garçon3, Jean-Marc Lo-Guidice3, Delphine Allorge3, Nadine Locoge2.   

Abstract

Owing to their harmful effects on human health, the presence of carbonyl compounds in e-cigarette aerosols raises concerns. To date, the reported concentration levels in e-vapors vary greatly between studies and several factors that markedly influence carbonyl emission during vaping have been highlighted including the heating temperature, the power supply, the device architecture, the filling level of the tank and the main e-liquid constituents. This study investigated the impact of puffing regimen parameters on the carbonyl composition of e-cigarette aerosols with the aim of: (1) better estimating the variability of carbonyl emissions depending on puffing conditions; (2) highlighting puffing profiles that increase the exposure to carbonyls; and (3) estimating to what extent puffing topography could be implied in the variability of carbonyl concentrations reported in the current literature. E-vapors from a single e-liquid were generated from two e-cigarette models with a smoking machine. A total of 7 different puffing regimens were used to individually study the influence of the puff volume, duration and frequency. Carbonyls were collected by DNPH cartridges and analysed by HPLC-UV. E-liquid consumption and e-vapor temperature were also monitored. E-vapor concentrations of formaldehyde, acetaldehyde, acetone, acrolein, propionaldehyde and methylglyoxal were affected, sometimes differently, by the modification of the puffing regimen, as well as by the e-cigarette model. For example, formaldehyde concentration ranged from 20 to 255 ng/puff depending on the puffing conditions. The results of principal component analyses, applied to the concentration data sets for the 6 carbonyls, suggest that the studied parameters interact and highlight some "carbonyl-emitting" combinations of concern (e-cigarette model/puffing regimen). However, the highest concentrations measured in the present study remain far lower than those observed in conventional cigarette mainstream smoke. This study confirms that the chosen puffing regimen contributes a part of the observed variability in the carbonyl levels reported in the scientific literature, hampering comparisons between studies and making interpretation difficult. Thus, harmonized and realistic protocols for the assessment of e-cigarette toxicity by physicochemical or experimental approaches are clearly needed.
Copyright © 2018 Elsevier GmbH. All rights reserved.

Entities:  

Keywords:  Carbonyls; E-vapor; Electronic cigarette; Puffing regimen; Smoking machine

Mesh:

Substances:

Year:  2018        PMID: 30220464     DOI: 10.1016/j.ijheh.2018.08.015

Source DB:  PubMed          Journal:  Int J Hyg Environ Health        ISSN: 1438-4639            Impact factor:   5.840


  17 in total

1.  Flavored E-cigarette Use and Progression of Vaping in Adolescents.

Authors:  Adam M Leventhal; Nicholas I Goldenson; Junhan Cho; Matthew G Kirkpatrick; Rob S McConnell; Matthew D Stone; Raina D Pang; Janet Audrain-McGovern; Jessica L Barrington-Trimis
Journal:  Pediatrics       Date:  2019-11       Impact factor: 7.124

Review 2.  E-Cigarette Toxicology.

Authors:  Terry Gordon; Emma Karey; Meghan E Rebuli; Yael-Natalie H Escobar; Ilona Jaspers; Lung Chi Chen
Journal:  Annu Rev Pharmacol Toxicol       Date:  2021-09-23       Impact factor: 16.459

3.  Electronic cigarette exposure disrupts blood-brain barrier integrity and promotes neuroinflammation.

Authors:  Nathan A Heldt; Alecia Seliga; Malika Winfield; Sachin Gajghate; Nancy Reichenbach; Xiang Yu; Slava Rom; Amogha Tenneti; Dana May; Brian D Gregory; Yuri Persidsky
Journal:  Brain Behav Immun       Date:  2020-03-31       Impact factor: 7.217

4.  Prenatal Exposure to Electronic-Cigarette Aerosols Leads to Sex-Dependent Pulmonary Extracellular-Matrix Remodeling and Myogenesis in Offspring Mice.

Authors:  Qixin Wang; Isaac K Sundar; Jason L Blum; Jill R Ratner; Joseph H Lucas; Tsai-Der Chuang; Ying Wang; Jie Liu; Virender K Rehan; Judith T Zelikoff; Irfan Rahman
Journal:  Am J Respir Cell Mol Biol       Date:  2020-12       Impact factor: 6.914

5.  Comprehensive Chemical Characterization of the Aerosol Emissions of a Vaping Product Based on a New Technology.

Authors:  James Nicol; Rory Fraser; Liam Walker; Chuan Liu; James Murphy; Christopher John Proctor
Journal:  Chem Res Toxicol       Date:  2020-03-03       Impact factor: 3.739

Review 6.  Epigenetic impacts of maternal tobacco and e-vapour exposure on the offspring lung.

Authors:  Razia Zakarya; Ian Adcock; Brian G Oliver
Journal:  Clin Epigenetics       Date:  2019-02-19       Impact factor: 6.551

7.  Short halt in vaping modifies cardiorespiratory parameters and urine metabolome: a randomized trial.

Authors:  Martin Chaumont; Vanessa Tagliatti; El Mehdi Channan; Jean-Marie Colet; Alfred Bernard; Sofia Morra; Guillaume Deprez; Alain Van Muylem; Nadia Debbas; Thomas Schaefer; Vitalie Faoro; Philippe van de Borne
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2019-11-13       Impact factor: 5.464

8.  Low-temperature (< 200 °C) degradation of electronic nicotine delivery system liquids generates toxic aldehydes.

Authors:  Nicholas R Jaegers; Wenda Hu; Thomas J Weber; Jian Zhi Hu
Journal:  Sci Rep       Date:  2021-04-08       Impact factor: 4.379

9.  Method Validation Approaches for Analysis of Constituents in ENDS.

Authors:  Samantha M Reilly; Tianrong Cheng; Jenna DuMond
Journal:  Tob Regul Sci       Date:  2020-07

10.  Impact of Vaping Regimens on Electronic Cigarette Efficiency.

Authors:  Sébastien Soulet; Marie Duquesne; Jean Toutain; Charly Pairaud; Maud Mercury
Journal:  Int J Environ Res Public Health       Date:  2019-11-27       Impact factor: 3.390

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