Investigation and probabilistic health risk assessment of trace elements in good sale lip cosmetics crawled by Python from Chinese e-commerce market

摘要

A growing body of evidence suggests that the lip products are polluted by heavy metals, which would inevitably cause safety problems with long-term exposure, but few studies have focused on their deeper health risk assessments. This study sets out to identify the lip cosmetics in good sale from Chinese e-commerce market utilizing Python crawler and then explore the probabilistic health risks caused by 6 trace elements in 34 most popular lip cosmetics with Monte Carlo simulation. The results found that there was no obvious non-carcinogenic risk to humans. As for high users, the carcinogenic risk levels of Cr exceeded the acceptable risk recommended by USEPA, approximately 10% and 25% for lipsticks and lip glosses, respectively. Cr was regarded as the priority metal for risk control in the present study. Finally, it was recommended that the minimum use period limit for using up one lip product ranged from 0.54 months to 5.74 months. Overall, this study appears to be the first to conduct a probabilistic health risk assessment of trace elements in lip products, which would be of significance for policy makers to take effective strategies to minimize exposure health risk and contamination.