Spatiotemporal occurrence, distribution, and risk of steroid hormones along the coast of Guangdong, China DOI Creative Commons

Xing Zhao,

Yuechao Jiang,

Hanqiang Deng

et al.

Frontiers in Marine Science, Journal Year: 2025, Volume and Issue: 12

Published: Feb. 3, 2025

Introduction Steroid hormones are widely present in the environment and pose potential risks to organisms. Previous studies of steroid have predominantly focused on terrestrial environments, with few conducted marine environments. Methods In this study, we analyzed occurrence 44 seawater, sediment, organisms collected from coast Guangdong, China. Results Total concentration ranged 0.11 30.15 ng/L ND 8.58 ng/g (dw) sediments, 80.52 (ww) The highest average concentrations detected were progestins, estrogens, glucocorticoids, respectively. hormone seawater significantly higher during dry season than rainy season. Guanghai Bay, Pearl River Estuary, Daya Zhelin Bay those other bays. Discussion Negative correlations observed between salinity, indicating a continental input. Risk assessment results indicated that 17α-ethinylestradiol posed high risks. Nevertheless, consumption seafood does not significant health risk humans. To best our knowledge, is first study concurrently analyze androgens, estrogens water, diverse

Language: Английский

Steroid hormones in wastewater: Sources, treatments, environmental risks, and regulations DOI Creative Commons
Balqees Almazrouei, Deema Islayem, Feryal A. Alskafi

et al.

Emerging contaminants, Journal Year: 2023, Volume and Issue: 9(2), P. 100210 - 100210

Published: Feb. 3, 2023

Steroid hormones are micropollutants that contaminate the water worldwide and exhibit a significant threat to human health environment even at low concentrations. among most common endocrine disruptors investigated due their widespread use as active ingredients in hormonal treatments natural secretions. Three main types of steroids critical for development multiorgan homeostasis estrogens, progesterone, androgens. The sources steroid livestock excretion, veterinary medicines, agricultural runoff, pharmaceuticals. When they reach environment, effects on detrimental. Therefore, this review discusses sources, efficiency available wastewater treatment techniques remove these from wastewater, potential environmental risks, international standards regulate them. This concludes different emerging hybrid approaches show best efficiencies hormone removal wastewater. Moreover, studies have focused estrogen, but equal attention research should also be given progesterone androgen. national need more detailed guidelines encourage advanced systems. Overall, many modern technologies treatments, there is still gap make them sustainable, environmentally safe, cost-efficient.

Language: Английский

Citations

71
A critical and comprehensive review of the current status of 17β-estradiol hormone remediation through adsorption technology DOI
Jordana Georgin, Dison S.P. Franco, Mohammad Saood Manzar

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(17), P. 24679 - 24712

Published: March 15, 2024

Language: Английский

Citations

43
Photocatalytic degradation of tetracycline using a novel WO3–ZnO/AC under visible light irradiation: Optimization of effective factors by RSM-CCD DOI

Mohammad Sina Mohtaram,

Samad Sabbaghi,

Jamal Rasouli

et al.

Environmental Pollution, Journal Year: 2024, Volume and Issue: 347, P. 123746 - 123746

Published: March 7, 2024

Language: Английский

Citations

40
Pharmaceuticals as Emerging Pollutants: Implications for Water Resource Management in Malaysia DOI Creative Commons

Ayyam Perumal Arumugam,

Khai Ern Lee, Pei Yuen Ng

et al.

Emerging contaminants, Journal Year: 2025, Volume and Issue: unknown, P. 100470 - 100470

Published: Jan. 1, 2025

Language: Английский

Citations

3
A Review of Adsorbents Engineered from Biological Materials Developed to Remediate Estrogen Pollution in the Environment DOI Creative Commons
Trevor Bell, Jason R. Tavares, Marie‐Josée Dumont

et al.

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 115274 - 115274

Published: Jan. 1, 2025

Language: Английский

Citations

2
Efficient detection and treatment of pharmaceutical contaminants to produce clean water for better health and environmental DOI Creative Commons
Mokgehle R. Letsoalo, Thandiwe Sithole, Maluta Steven Mufamadi

et al.

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 387, P. 135798 - 135798

Published: Dec. 31, 2022

The influx of emerging, prescribed, and FDA approved pharmaceutical contaminants (PCs) in the environment is continuously affecting human health cycle (even at trace amount) via contaminating water aquatic life. Among them, non-degradable water-soluble residues which have been integrated with streams groundwater a serious concern now focus United Nation's Sustainable Development Goals 2030. In this direction, removal eradication PCs from wastewater challenging but seems manageable selective detection efficient remediation using nano-enabled functional systems. To explore field well for covering gaps, article an attempt to explain wide variety emerging contaminants, related bio-toxicity, risks, techniques, approaches remediation. With aim environmental management, simultaneously recommended nano-system tuneable properties managed adopting green approaches. Significant efforts are being made achieve 1) very low level (ppb) needed early-stage diagnostics 2) eradicating stimuli-responsive catalysis. both cases, design development electro-active nano-systems desired feature key requirement developing acceptable affordable management strategies. outcomes will encourage scholars develop novel capable targeted produce clean healthy everyone.

Language: Английский

Citations

67
Development of Machine Learning Flood Model Using Artificial Neural Network (ANN) at Var River DOI Creative Commons
Mumtaz Ahmad, Md Abdullah Al Mehedi, Munshi Md. Shafwat Yazdan

et al.

Liquids, Journal Year: 2022, Volume and Issue: 2(3), P. 147 - 160

Published: Aug. 1, 2022

Data-driven flow forecasting models, such as Artificial Neural Networks (ANNs), are increasingly used for operational flood warning systems. In this research, we systematically evaluate different machine learning techniques (random forest and decision tree) compare them with classical methods of the NAM rainfall run-off model Vésubie River, Nice, France. The modeled network is trained tested using discharge, precipitation, temperature, evapotranspiration data about four years (2011–2014). A comparative investigation executed to assess performance by Root Mean Squared Error (RMSE), Absolute (MAE), a correlation coefficient (R). According result, Feed Forward Network (FFNN) (a type ANN) models less efficient than models. precision parameters ANN 0.58 0.76 validation dataset. all tree which performed best had 0.99. prediction good compared training, opposite in model. can be improved fitting more input variables training dataset long period.

Language: Английский

Citations

42
3D printed polylactide scaffolding for laccase immobilization to improve enzyme stability and estrogen removal from wastewater DOI Creative Commons
Agnieszka Rybarczyk, Wojciech Smułek, Adam Grzywaczyk

et al.

Bioresource Technology, Journal Year: 2023, Volume and Issue: 381, P. 129144 - 129144

Published: May 11, 2023

This study reports a biocatalytic system of immobilized laccase and 3D printed open-structure biopolymer scaffoldings. The scaffoldings were computer-designed using polylactide (PLA) filament. immobilization onto the PLA scaffolds optimized with regard to pH, enzyme concentration, time. Laccase resulted in small reduction reactivity (in terms Michaelis constant maximum reaction rate) but led significant improvement chemical thermal stability. After 20 days storage, free showed 80% 35% retention initial enzymatic activity, respectively. on achieved 10% removal estrogens from real wastewater as compared reusability potential. Results here are promising also highlight need for further improve activity reusability.

Language: Английский

Citations

31
Environmental fate of aquatic pollutants and their mitigation by phycoremediation for the clean and sustainable environment: A review DOI

S. Thanigaivel,

Saranya Vinayagam,

Lalitha Gnanasekaran

et al.

Environmental Research, Journal Year: 2023, Volume and Issue: 240, P. 117460 - 117460

Published: Oct. 20, 2023

Language: Английский

Citations

27
Sequestration of steroidal estrogen in aqueous samples using an adsorption mechanism: a systemic scientometric review DOI Creative Commons
Ajibola A. Bayode, Chijioke Olisah, Stephen Sunday Emmanuel

et al.

RSC Advances, Journal Year: 2023, Volume and Issue: 13(33), P. 22675 - 22697

Published: Jan. 1, 2023

Steroidal estrogens (SEs) pose a significant threat to the aquatic environment in this era because they interfere with human body's normal metabolic functions, calls for their sequestration.

Language: Английский

Citations

23