Occurrence and Nationwide Risk Assessment of Typical Food Processing Contaminants in Human Milk in China.

Typical environmental exposure and food processing contaminants, including acrylamide (AA) and monochloropropanediols (MCPDs), are widely present in the national Total Diet Survey. Nevertheless, the dietary exposure to and associated health risk of AA and MCPDs for breastfed infants remain unclear. Here, we assess the occurrence of AA, 3-monochloropropane-1,2-diol (3-MCPD), and 2-monochloropropane-1,2-diol (2-MCPD) in 3344 human milk samples collected from 24 provinces in China and further characterize their geographic distribution profiles and potential health risk to breastfed infants.

Machine learning prediction of dual and dose-response effects of flavone carbon and oxygen glycosides on acrylamide formation.

Introduction: The extensive occurrence of acrylamide in heat processing foods has continuously raised a potential health risk for the public in the recent 20 years. Machine learning emerging as a robust computational tool has been highlighted for predicting the generation and control of processing contaminants.

Methods: We used the least squares support vector regression (LS-SVR) as a machine learning approach to investigate the effects of flavone carbon and oxygen glycosides on acrylamide formation under a low moisture condition.

Catechins protect against acrylamide- and glycidamide-induced cellular toxicity via rescuing cellular apoptosis and DNA damage.

Acrylamide (AA) occurs in both various environmental and dietary sources and has raised widespread concern as a probable carcinogen. Glycidamide (GA) is the main genotoxic metabolite through P450 2E1 (CYP2E1). In the present study, we investigated the protective effect of (-)-epigallocatechin gallate (EGCG) and (-)-epicatechin (EC) against AA- and GA-induced hepatotoxicity in HepG2 cells.