Evidence map›Paper›PMID 32041831›Full record

ReviewTobacco control2021

Comprehensive overview of common e-liquid ingredients and how they can be used to predict an e-liquid's flavour category.

Erna J Z Krüsemann, Anne Havermans, Jeroen L A Pennings, Kees de Graaf, Sanne Boesveldt, Reinskje Talhout

Abstract readReview
In one paragraph

Review in Tobacco control, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Mapping the flavoring landscape: a comparative analysis of tobacco and related products.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Toxicity and Appeal of Flavoured E-Cigarettes and Flavour Ban Outcomes: A Narrative Review.International journal of environmental research and public health · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Chemical Analysis and Flavor Distribution of Electronic Cigarettes in Australian Schools.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  18. Article
  19. Review
  20. E-Cigarette effects on oral health: A molecular perspective.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Erna J Z Krüsemann *Centre for Health Protection, Rijksinstituut voor Volksgezondheid en Milieu, Bilthoven, The Netherlands erna.krusemann@rivm.nl.ORCID 0000-0003-3552-8190
Anne Havermans *Centre for Health Protection, Rijksinstituut voor Volksgezondheid en Milieu, Bilthoven, The Netherlands.ORCID 0000-0003-2874-6560
Jeroen L A PenningsCentre for Health Protection, Rijksinstituut voor Volksgezondheid en Milieu, Bilthoven, The Netherlands.
Kees de GraafDivision of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands.
Sanne BoesveldtDivision of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands.
Reinskje TalhoutCentre for Health Protection, Rijksinstituut voor Volksgezondheid en Milieu, Bilthoven, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesFlavours 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.

methodsWe 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.

resultsWe 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%.

conclusionsInformation 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.

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsFlavoring AgentsHumansTasteFlavoring Agentselectronic nicotine delivery devicespublic policysurveillance and monitoringtobacco industry

Identifiers

PMID32041831
PMCPMC7907577

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.