Background

The gaps between estrogenic effect and its effect-active compounds exist frequently due to a large number of compounds that have been reported to induce this effect and the occurrence of pollutants in environments as mixtures. Therefore, identifying the estrogen-active compounds is of importance for environmental management and pollution treatment. In the current study, the effect-directed analysis (EDA) and non-targeted screening (NTS) were integrated to identify the estrogen-active compounds in soils of the rural area with different socioeconomic types (industrial, farming and plantation village) in Northeast China.

Results

The cytotoxicity results indicated that the industrial and farming villages showed cytotoxic effects. The detection rates of estrogenic effects for samples of winter and summer were 100% and 87%, respectively. Of which, the effects were found to be stronger in summer than in winter, with significant difference observed from the farming village (0.1–11.3 EEQ μg/kg dry weight). A total of 159 chemicals were detected by NTS. By integrating EDA, triphenyl phosphate (TPhP) and indole were successfully identified from a raw sample and its fraction, explaining up to 19.31% of the estrogen activity.

Conclusions

The present study demonstrates that the successful identification of seven estrogen-active compounds in rural areas of northeastern China can be achieved through the combination of effect-directed analysis (EDA) and non-targeted screening (NTS). This finding is beneficial for risk monitoring and pollution management.