Estimation of Dietary Exposure to Contaminants Transferred from the Packaging in Fatty Dry Foods Based on Cereals.
Antía Lestido-CardamaAna Rodríguez-Bernaldo de QuirósJuana BustosM Luisa LomoPerfecto Paseiro LosadaRaquel SéndonPublished in: Foods (Basel, Switzerland) (2020)
Food packaging has received special attention from the food safety standpoint since it could be a potential source of contamination through the migration of chemical substances from the packaging material into food. The assessment of the exposure through the diet to these contaminants from food packaging is necessary. In this work, an estimation of dietary exposure of the young Spanish population (1-17 years) to target chemicals from packaging for fatty dried foods based on cereals was assessed. For this purpose, a gas chromatography coupled to mass spectrometry (GC-MS) method was developed for screening of volatile and semivolatile compounds, potential migrants from the packaging. Then, this technique was used to quantify 8 target analytes, which were previously identified in the packaging (including phthalates, acetyl tributyl citrate (ATBC), butylated hydroxytoluene (BHT) and octocrylene), in composite food samples of fatty cereals prepared according to the consumption data for different age groups. Among the phthalates, exposure to diethyl phthalate (DEP) was the highest for the three groups considered (0.0761-0.545 µg/kg body weight/day), followed by bis(2-ethylhxyl)phathalate (DEHP), while the lowest mean intake was found for di-n-octyl phathalate (DNOP; 0.00463-0.0209 µg/kg body weight/day). The estimated dietary exposures did not exceed for any of the analytes the corresponding established tolerable daily intakes.
Keyphrases
- body weight
- human health
- gas chromatography
- mass spectrometry
- drinking water
- risk assessment
- physical activity
- climate change
- liquid chromatography
- working memory
- fatty acid
- weight loss
- high resolution mass spectrometry
- staphylococcus aureus
- escherichia coli
- high resolution
- machine learning
- gas chromatography mass spectrometry
- pseudomonas aeruginosa
- high performance liquid chromatography
- artificial intelligence