Comprehensive overview of common e-liquid ingredients and how they can be used to predict an e-liquid's flavour category.
electronic nicotine delivery devices
public policy
surveillance and monitoring
tobacco industry
Journal
Tobacco control
ISSN: 1468-3318
Titre abrégé: Tob Control
Pays: England
ID NLM: 9209612
Informations de publication
Date de publication:
03 2021
03 2021
Historique:
received:
10
10
2019
revised:
10
01
2020
accepted:
19
01
2020
pubmed:
12
2
2020
medline:
16
10
2021
entrez:
12
2
2020
Statut:
ppublish
Résumé
Flavours increase e-cigarette attractiveness and use and thereby exposure to potentially toxic ingredients. An overview of e-liquid ingredients is needed to select target ingredients for chemical analytical and toxicological research and for regulatory approaches aimed at reducing e-cigarette attractiveness. Using information from e-cigarette manufacturers, we aim to identify the flavouring ingredients most frequently added to e-liquids on the Dutch market. Additionally, we used flavouring compositions to automatically classify e-liquids into flavour categories, thereby generating an overview that can facilitate market surveillance. We used a dataset containing 16 839 e-liquids that were manually classified into 16 flavour categories in our previous study. For the overall set and each flavour category, we identified flavourings present in more than 10% of the products and their median quantities. Next, quantitative and qualitative ingredient information was used to predict e-liquid flavour categories using a random forest algorithm. We identified 219 unique ingredients that were added to more than 100 e-liquids, of which 213 were flavourings. The mean number of flavourings per e-liquid was 10±15. The most frequently used flavourings were vanillin (present in 35% of all liquids), ethyl maltol (32%) and ethyl butyrate (28%). In addition, we identified 29 category-specific flavourings. Moreover, e-liquids' flavour categories were predicted with an overall accuracy of 70%. Information from manufacturers can be used to identify frequently used and category-specific flavourings. Qualitative and quantitative ingredient information can be used to successfully predict an e-liquid's flavour category, serving as an example for regulators that have similar datasets available.
Identifiants
pubmed: 32041831
pii: tobaccocontrol-2019-055447
doi: 10.1136/tobaccocontrol-2019-055447
pmc: PMC7907577
doi:
Substances chimiques
Flavoring Agents
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
185-191Informations de copyright
© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: None declared.
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