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Mathematical modeling for estrogenic activity prediction of 17β- estradiol and 17α-ethynylestradiol mixtures in wastewater treatment plants effluent

Steroid estrogens such as 17β-Estradiol (E2) and 17α-Ethynylestradiol (EE2) are highly potent estrogens that widely detected in environmental samples. Mathematical modelling such as concentration addition (CA) and estradiol equivalent concentration (EEQ) models are usually associated with measuring...

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Main Authors: Ting, Yien Fang, Praveena, Sarva Mangala, Aris, Ahmad Zaharin, Syed Ismail, Sharifah Norkhadijah, Rasdi, Irniza
Format: Article
Language:English
Published: Springer 2017
Online Access:http://psasir.upm.edu.my/id/eprint/62359/1/Mathematical%20modeling%20for%20estrogenic%20activity%20prediction%20of%2017%CE%B2estradiol%20and%2017%CE%B1-ethynylestradiol%20mixtures%20in%20wastewater%20treatment%20plants%20effluent.pdf
http://psasir.upm.edu.my/id/eprint/62359/
https://link.springer.com/article/10.1007/s10646-017-1857-5
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spelling my.upm.eprints.623592020-01-08T01:32:19Z http://psasir.upm.edu.my/id/eprint/62359/ Mathematical modeling for estrogenic activity prediction of 17β- estradiol and 17α-ethynylestradiol mixtures in wastewater treatment plants effluent Ting, Yien Fang Praveena, Sarva Mangala Aris, Ahmad Zaharin Syed Ismail, Sharifah Norkhadijah Rasdi, Irniza Steroid estrogens such as 17β-Estradiol (E2) and 17α-Ethynylestradiol (EE2) are highly potent estrogens that widely detected in environmental samples. Mathematical modelling such as concentration addition (CA) and estradiol equivalent concentration (EEQ) models are usually associated with measuring techniques to assess risk, predict the mixture response and evaluate the estrogenic activity of mixture. Wastewater has played a crucial role because wastewater treatment plant (WWTP) is the major sources of estrogenic activity in aquatic environment. The aims of this is to determine E2 and EE2 concentrations in six WWTPs effluent, to predict the estrogenic activity of the WWTPs effluent using CA and EEQ models where lastly the effectiveness of two models is evaluated. Results showed that all the six WWTPs effluent had relative high E2 concentration (35.1–85.2 ng/L) compared to EE2 (0.02–1.0 ng/L). The estrogenic activity predicted by CA model was similar among the six WWTPs (105.4 ng/L), due to the similarity of individual dose potency ratio calculated by respective WWTPs. The predicted total EEQ was ranged from 35.1 EEQ-ng/L to 85.3 EEQ-ng/L, explained by high E2 concentration in WWTPs effluent and E2 EEF value that standardized to 1.0 μg/L. The CA model is more effective than EEQ model in estrogenic activity prediction because EEQ model used less data and causes disassociation from the predicted behavior. Although both models predicted relative high estrogenic activity in WWTPs effluent, dilution effects in receiving river may lower the estrogenic response to aquatic inhabitants. Springer 2017-10 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/62359/1/Mathematical%20modeling%20for%20estrogenic%20activity%20prediction%20of%2017%CE%B2estradiol%20and%2017%CE%B1-ethynylestradiol%20mixtures%20in%20wastewater%20treatment%20plants%20effluent.pdf Ting, Yien Fang and Praveena, Sarva Mangala and Aris, Ahmad Zaharin and Syed Ismail, Sharifah Norkhadijah and Rasdi, Irniza (2017) Mathematical modeling for estrogenic activity prediction of 17β- estradiol and 17α-ethynylestradiol mixtures in wastewater treatment plants effluent. Ecotoxicology, 26 (10). 1327 - 1335. ISSN 0963-9292; ESSN: 1573-3017 https://link.springer.com/article/10.1007/s10646-017-1857-5 10.1007/s10646-017-1857-5
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Steroid estrogens such as 17β-Estradiol (E2) and 17α-Ethynylestradiol (EE2) are highly potent estrogens that widely detected in environmental samples. Mathematical modelling such as concentration addition (CA) and estradiol equivalent concentration (EEQ) models are usually associated with measuring techniques to assess risk, predict the mixture response and evaluate the estrogenic activity of mixture. Wastewater has played a crucial role because wastewater treatment plant (WWTP) is the major sources of estrogenic activity in aquatic environment. The aims of this is to determine E2 and EE2 concentrations in six WWTPs effluent, to predict the estrogenic activity of the WWTPs effluent using CA and EEQ models where lastly the effectiveness of two models is evaluated. Results showed that all the six WWTPs effluent had relative high E2 concentration (35.1–85.2 ng/L) compared to EE2 (0.02–1.0 ng/L). The estrogenic activity predicted by CA model was similar among the six WWTPs (105.4 ng/L), due to the similarity of individual dose potency ratio calculated by respective WWTPs. The predicted total EEQ was ranged from 35.1 EEQ-ng/L to 85.3 EEQ-ng/L, explained by high E2 concentration in WWTPs effluent and E2 EEF value that standardized to 1.0 μg/L. The CA model is more effective than EEQ model in estrogenic activity prediction because EEQ model used less data and causes disassociation from the predicted behavior. Although both models predicted relative high estrogenic activity in WWTPs effluent, dilution effects in receiving river may lower the estrogenic response to aquatic inhabitants.
format Article
author Ting, Yien Fang
Praveena, Sarva Mangala
Aris, Ahmad Zaharin
Syed Ismail, Sharifah Norkhadijah
Rasdi, Irniza
spellingShingle Ting, Yien Fang
Praveena, Sarva Mangala
Aris, Ahmad Zaharin
Syed Ismail, Sharifah Norkhadijah
Rasdi, Irniza
Mathematical modeling for estrogenic activity prediction of 17β- estradiol and 17α-ethynylestradiol mixtures in wastewater treatment plants effluent
author_facet Ting, Yien Fang
Praveena, Sarva Mangala
Aris, Ahmad Zaharin
Syed Ismail, Sharifah Norkhadijah
Rasdi, Irniza
author_sort Ting, Yien Fang
title Mathematical modeling for estrogenic activity prediction of 17β- estradiol and 17α-ethynylestradiol mixtures in wastewater treatment plants effluent
title_short Mathematical modeling for estrogenic activity prediction of 17β- estradiol and 17α-ethynylestradiol mixtures in wastewater treatment plants effluent
title_full Mathematical modeling for estrogenic activity prediction of 17β- estradiol and 17α-ethynylestradiol mixtures in wastewater treatment plants effluent
title_fullStr Mathematical modeling for estrogenic activity prediction of 17β- estradiol and 17α-ethynylestradiol mixtures in wastewater treatment plants effluent
title_full_unstemmed Mathematical modeling for estrogenic activity prediction of 17β- estradiol and 17α-ethynylestradiol mixtures in wastewater treatment plants effluent
title_sort mathematical modeling for estrogenic activity prediction of 17β- estradiol and 17α-ethynylestradiol mixtures in wastewater treatment plants effluent
publisher Springer
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/62359/1/Mathematical%20modeling%20for%20estrogenic%20activity%20prediction%20of%2017%CE%B2estradiol%20and%2017%CE%B1-ethynylestradiol%20mixtures%20in%20wastewater%20treatment%20plants%20effluent.pdf
http://psasir.upm.edu.my/id/eprint/62359/
https://link.springer.com/article/10.1007/s10646-017-1857-5
_version_ 1657489294544076800
score 13.211869

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