| Literature DB >> 35496845 |
Siqi Wang1, Zhuhao Huo1, Jianzhong Gu2, Gang Xu1,3.
Abstract
Farms and wastewater treatment plants (WWTPs) are important sources of endocrine disruptors, which may have potential adverse effects on the nearby receiving river and potential human health risks. Benzophenone (BPs) and synthetic progestin were determined in water and sediment samples of the discharge source and receiving river. BPs and synthetic progestin ranged from not detected (N.D.) to 400.53 ng L-1 in water samples and from N.D. to 359.92 ng g-1 dw in sediment, respectively, and benzophenone-3 (BP-3) and ethinyl estradiol (EE2) were the main detected objects. Correlation analysis showed that pollutants discharged from livestock farms were the main contributor to the receiving river. The distribution of pollutants in different regions was related to higher population density and livestock activities. Predicted no-effect concentrations (PNECs) were investigated for ecological risk assessment in the study area, and 86% of the samples exceeded the baseline value of chronic toxicity. Benzophenone-1 (BP-1), benzophenone-3 (BP-3), 4-hydroxybenzophenone (4-OH-BP) and benzophenone (BP) were identified as the main substances that caused medium risk in the aquatic ecosystem. Therefore, BPs and synthetic progesterone should be given more attention in the future. This journal is © The Royal Society of Chemistry.Entities:
Year: 2021 PMID: 35496845 PMCID: PMC9041579 DOI: 10.1039/d1ra05333g
Source DB: PubMed Journal: RSC Adv ISSN: 2046-2069 Impact factor: 3.361
Fig. 1The specific locations of the sampling sites.
Fig. 2The concentration distribution of target compounds in water and sediment of livestock farms (a), aquaculture farms (b), WWTPs (c), receiving river (d).
Fig. 3Composition profiles of BP and synthetic progestin in surface water (a) and (b) and sediment (c) and (d).
Comparison of some target compounds in China and other countriesa[35,47–51]
| Country | Compound | Surface water (ng L−1) | Sediment (ng g−1 dw) | ||
|---|---|---|---|---|---|
| Range | Mean | Range | Mean | ||
|
| |||||
| USA | 17α-estradiol | — | 98 | — | — |
| New Zealand | 17α-estradiol | 110–11 000 | — | — | — |
| Japan | BP | 650–680 | — | — | — |
| China | CPA | 2.62 | — | — | — |
| China | NTD | 21.60–42.70 | — | 3.45–321 | 4.20 |
|
| |||||
| China | P4 | 6.10–3.30 | — | 0.50–109 | — |
| China | Cortisol | 0.55–26 | 1.32 | N.D.–270 | — |
| USA | 17β-estradiol | 650 | — | — | — |
| Netherlands | Cortisol | 3.80–217 | — | — | — |
|
| |||||
| China | NTD | — | — | <0.08 | — |
| Swiss | BP-3 | 0.70–7.80 | — | — | — |
| Norway | BP-3 | 81–593 | 293 | 300–8900 | — |
| France | EE2 | 4.20–15.50 | — | — | — |
| Korea | 17α-estradiol | 10.70–25.60 | 18.93 | — | — |
| Spain | 17β-estradiol | 11.90–203 | — | 1.32–128 | 5.69 |
| Australia | 17β-estradiol | 1.90–4.20 | — | — | — |
| Italy | Estrone | 25–132 | — | — | — |
| France | NTD | 13–41 | — | — | — |
|
| |||||
| USA | BP-3 | N.D.–136 | — | N.D.–4.30 | — |
| France | BP-3 | 30–125 | — | — | — |
| Swiss | BP | <2–35 | — | — | — |
| Columbia | EE2 | — | — | N.D.–54 | — |
| Chile | EE2 | — | — | N.D.–2.96 | 0.87 |
‘—’ means lack of data.
Fig. 4Spearman correlation for effluents of sampling points and receiving river.
Fig. 5The concentration range of target compounds in each region of Shanghai.
| BP-1 | BP-2 | BP-3 | BP-4 | 4-OH-BP | 2,3,4-OH-BP | BP | |
|---|---|---|---|---|---|---|---|
| Acute | 157.41 | 2.27 | 3.32 | 1167.23 | 1067.60 | — | 628.17 |
| Chronic | 171.02 | 14.57 | 5.44 | 13.92 | — | — | 783.71 |
‘—’ means lack of data, ‘acute’ means acute toxicity standard value and ‘chronic’ means chronic toxicity standard value.
| CPA | GES | NTD | DES | LNG | EE2 | |
|---|---|---|---|---|---|---|
| Acute | 8.53 | — | — | — | — | — |
| Chronic | 1.39 | — | 0.11 | — | 0.043 | 0.001 |