Occurrence and mass balance of sixty-two progestins in a municipal sewage treatment plant.

Occurrence and mass balance of sixty-two progestins in a municipal sewage treatment plant.

Shen, Xiaoyan;Chang, Hong;Shao, Bing;Sun, Fuhong;Wu, Fengchang;
Water research 2019 Vol. 165 pp. 114991
231
shen2019occurrencewater

Abstract

Progestins (PGs) are a group of steroid hormones known to have endocrine-disrupting effects. These compounds can enter the aquatic environment via the discharge of treated or untreated wastewater and the disposal of sludge from sewage treatment plants (STPs); thus, their removal in STPs are of great importance. The present study simultaneously investigated the occurrences and fates of 62 PGs in a municipal STP in Beijing, China. Progesterone (P) and its metabolites were found to be the predominant compounds, with total dissolved concentrations of 1866 ng/L in the influent. About 11 P metabolites were newly detected, accounting for 25-55% and 75-91% of the total concentrations in wastewater and sludge, respectively. For the other three groups of PGs derived from different parent compounds, P derivatives were first detected in the STP with the highest concentration in the wastewater and sludge, followed by 19-nortestosterone (NT) derivatives and 17α-hydroxyprogesterone (17α-OHP) derivatives. The removal efficiencies in the dissolved phase of wastewater were relatively high for P and its metabolites (95-99%) and P derivatives (91-99%). And the relative persistence of NT (68-99%) and 17α-OHP derivatives (79-99%) was observed during the wastewater treatment processes. Mass balance analysis showed that the lost mass proportions were as high as 41-99%, the mass fractions in sludge were in the range of 0-55%, and 0.24-25% of the initial mass loadings was present in the effluent. These results indicated that biodegradation was the major removal mechanism of PGs in the STP.

Citation

ID: 15766
Ref Key: shen2019occurrencewater
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
15766
Unique Identifier:
S0043-1354(19)30765-1
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet