Novel per- and polyfluoroalkyl substances (PFASs) in
the environment
and populations have received extensive attention; however, their
distribution and potential toxic effects in the general population
remain unclear. Here, a comprehensive study on PFAS screening was
carried out in serum samples of 202 individuals from the general population
in four cities in China. A total of 165 suspected PFASs were identified
using target and nontarget analysis, including seven identified PFAS
homolog series, of which 16 PFASs were validated against standards,
and seven PFASs [4:2 chlorinated polyfluorinated ether sulfonate (4:2
Cl-PFESA), 7:2 chlorinated polyfluorinated ether sulfonate (7:2 Cl-PFESA),
hydrosubstituted perfluoroheptanoate (H-PFHpA), chlorine-substituted
perfluorooctanoate (Cl-PFOA), chlorine-substituted perfluorononanate
(Cl-PFNA), chlorine-substituted perfluorodecanoate (Cl-PFDA), and
perfluorodecanedioic acid (PFLDCA n = 8)] were reported
for the first time in human serum. The Tox21-GCN model (a graph convolutional
neural network model based on the Tox21 database) was established
to predict the toxicity of the discovered PFASs, revealing that PFASs
containing sulfonic acid groups exhibited multiple potential toxic
effects, such as estrogenic effects and stress responses. Our study
indicated that the general population was exposed to various PFASs,
and the toxicity prediction results of individual PFASs suggested
potential health risks that could not be ignored.