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• W3159217932 endingPage "117253" @default.
• W3159217932 startingPage "117253" @default.
• W3159217932 abstract "Polychlorinated biphenyls (PCBs) may transfer into the neonates through the placental transfer and via breastfeeding after the delivery, thus might be harmful to the infant. Sixty colostrum samples in the Yangtze River Region were collected to investigate the concentration, distribution pattern, and enantiomer characteristic of the PCB exposure. Among all samples, over 90% of pollutants were tetra-to hepta-chlorinated PCBs. The sum concentration of the PCB was 512 (IQR: 322–856) ng g −1 lipid weight. Enantiomer fraction (EF) of PCB 95 and PCB 149 was found lower than the racemic value, while EFs of PCB 45 and PCB 136 were found higher and near-racemic state, respectively. The concentration pattern and enantiomeric properties of the PCBs indicated that the mothers from Mianyang had a recent exposure to PCBs. Among all samples, similar exposure and metabolic pathways of the PCB congeners were observed. PCB exposure showed no significant correlation with the birth outcome of the infants, but 43.3% of the infants have potential health risks via breastfeeding. • PCBs in 60 colostrum samples from 3 cities in the Yangtze River Region were analyzed. • More than 90% were tetra-to hepta- PCBs. PCB 95 is the highest congener. • EFs of PCB 45, 95 and 149 were non-racemic, while PCB 136 was near-racemic. • Results of signatures and EF showed mothers from Mianyang had recent exposure to PCBs. • PCB exposure via diet caused 43.3% of the infants to have a potential health risk. Enantiomeric and concentration distribution pattern of the PCBs showed region-specific exposure source/fate and the PCB intake via breastfeeding poses risks to infant's health." @default.
• W3159217932 created "2021-05-10" @default.
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• W3159217932 date "2021-09-01" @default.
• W3159217932 modified "2023-09-24" @default.
• W3159217932 title "Polychlorinated biphenyls (PCBs) in the colostrum samples from the Yangtze River Region: Exposure profile and risk assessment" @default.
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• W3159217932 doi "https://doi.org/10.1016/j.envpol.2021.117253" @default.
• W3159217932 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33957509" @default.
• W3159217932 hasPublicationYear "2021" @default.
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