Objectives: Electronic cigarette refill solutions (e-liquids) are available in various flavor descriptions that can be categorized as fruit, tobacco, and more. Flavors increase sensory appeal, thereby stimulating e-cigarette use, and flavoring ingredients can contribute to e-cigarette toxicity. We aim to inform toxicologists, sensory scientists, and regulators by determining flavoring compounds in e-liquids with various flavors, and compare results between flavor categories.
Methods: Gas chromatography - mass spectrometry (GC-MS) was used to identify 79 flavorings in 320 e-liquids, classified in 15 flavor categories. Ten flavorings highly prevalent in e-liquids according to information from manufacturers were quantified. Flavoring prevalence was defined as the number of e-liquids with the flavoring as percentage of the total number of e-liquids. The method was validated in terms of specificity, linearity, repeatability, recovery, and sensitivity.
Results: The mean number of flavorings per e-liquid was 6 ± 4. Flavoring prevalence was highest for vanillin (creamy/vanilla flavor), ethyl butyrate (ethereal/fruity), and cis-3-hexenol (fresh/green). Based on similarities in flavoring prevalence, four clusters of categories were distinguished: (1) fruit, candy, alcohol, beverages; (2) dessert, coffee/tea, nuts, sweets; (3) menthol/mint; and (4) spices, tobacco, and unflavored. Categories from cluster 4 generally had less flavorings per e-liquid than fruit, candy, alcohol, beverages (cluster 1) and dessert (cluster 2) (p < 0.05). Flavoring concentrations varied between e-liquids within the categories.
Conclusions: We evaluated flavoring compositions of 320 e-liquids using a simple GC-MS method. Flavoring prevalence was similar within four clusters of typically fresh/sweet, warm/sweet, fresh/cooling, and non-sweet flavor categories. To compare flavoring concentrations between individual flavor categories, additional research is needed.
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http://dx.doi.org/10.1016/j.jpba.2020.113364 | DOI Listing |
Foods
January 2025
Department of Food Technology, 'Ion Ionescu de la Brad' Iasi University of Life Sciences, 700490 Iasi, Romania.
One of the most significant industries in the world is the meat sector, and development into new goods is ongoing due to high customer demand and fierce market competition. Products made from chicken are widely favored. This phenomenon can be attributed to the lack of cultural or religious restrictions on this meat.
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January 2025
School of Agricultural Engineering, Jiangsu University, Zhenjiang 212013, China.
Tomato, as the vegetable queen, is cultivated worldwide due to its rich nutrient content and unique flavor. Nondestructive technology provides efficient and noninvasive solutions for the quality assessment of tomatoes. However, processing the substantial datasets to achieve a robust model and enhance detection performance for nondestructive technology is a great challenge until deep learning is developed.
View Article and Find Full Text PDFFood Res Int
February 2025
Embrapa Food Technology, Av. das Américas, 29501, CEP 23.020-470 Rio de Janeiro, RJ, Brazil.
In response to the rise of Non-communicable Diseases, public policies, such as Front-of-package (FOP) nutrition labeling, have been implemented to clarify information on food labels and promote healthier eating habits. Brazil adopted black magnifier warning label in 2020, which consists of a black rectangle with a magnifier glass followed by the expression "High in" for three critical nutrients: added sugar, saturated fat and/or sodium. This study aims to evaluate the effect of black magnifier warning label, brand, and claims on Brazilian consumers' perceived healthiness.
View Article and Find Full Text PDFNeuropsychopharmacol Rep
March 2025
Department of Community Nutrition, School of Nutrition and Food Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with both genetic and environmental risk factors. Imbalanced dietary Intake has recently been proposed as a possible environmental risk factor for ASD. The purpose of this study was to investigate the possible connection between ASD and intake of various carbohydrate types.
View Article and Find Full Text PDFJ Food Sci
January 2025
School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China.
Whole-grain foods (WGFs) constitute a large part of humans' daily diet, making risk identification of WGFs important for health and safety. However, existing research on WGFs has paid more attention to revealing the effects of a single hazardous substance or various hazardous substances on food safety, neglecting the mutual influence between individual hazardous substances and between hazardous substances and basic information. Therefore, this paper proposes a causal inference of WGFs' risk based on a generative adversarial network (GAN) and Bayesian network (BN) to explore the mutual influence between hazardous substances and basic information.
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