| Literature DB >> 35496331 |
Marko Klaic1, Franz Jirsa1,2.
Abstract
17α-Ethinylestradiol (EE2) is a frequently used drug and an endocrine disruptive substance. Adverse effects on biota have been reported when they are exposed to this substance in the environment. The last review on EE2 in the environment was published in 2014. Since then, well above 70 studies on EE2 and related substances have been published. The aim of this review was therefore to bring together recent data with earlier ones. The topics emphasized were observable trends of environmental levels of EE2 and methods to reduce EE2 levels in wastewater, before it can enter the environment. This should give an overview of the recent knowledge and developments regarding these environmental aspects of EE2. In the studies discussed, EE2 levels in surface waters were well detectable in many countries, both above and below the predicted no effect concentration (PNEC) of 0.035 ng L-1, although analytical methods used for the quantification often are unsatisfactory regarding their limit of detection. To support the degradation of EE2 prior to entry into the environment, appropriate treatment methods could help to control the emissions of EE2. Several methods for the reduction of EE2 levels of up to 100% removal efficiency were reported recently and are of chemical, biological, adsorptive or ion-exchange nature. Depending on the required properties like initial EE2 concentration or treatment duration, several promising methods are available. This journal is © The Royal Society of Chemistry.Entities:
Year: 2022 PMID: 35496331 PMCID: PMC9044539 DOI: 10.1039/d2ra00915c
Source DB: PubMed Journal: RSC Adv ISSN: 2046-2069 Impact factor: 4.036
Fig. 1Structure of EE2.
Fig. 2Metabolic pathways of EE2, redrawn after Zhang et al. (2007).[9]
EE2 levels in the environment (n.d. = not detected), LODs are stated, where given
| Sampling location or waterbody | EE2 concentration | Reference |
|---|---|---|
| 20 rivers in Austria | <LOD (0.05 ng L−1) | Loos |
| Huangpu River receiving streams (water), China | n.d. – 20.1 ng L−1 | Nie |
| Huangpu River receiving streams (colloidal matter), China | App. 5–120 ng g−1 dw | |
| Surface Waters, Pampa Region, Argentina | 43–187 ng L−1 | Valdés |
| Surface Water, Río de la Plata estuary, Argentina | <LOD (15 ng L−1) | |
| Taihu Lake (water samples), China | n.d. – 33.5 ng L−1 | Wang |
| Taihu Lake (sediment samples), China | 4.32–184 ng g−1 dw | |
| Taihu Lake (biota samples), China | 21.3–417 ng g−1 dw | |
| Taihu Lake, China | n.d. – 4.00 ng L−1 | Yan |
| Danube, Budapest, Hungary | 0.124 ng L−1 | Avar |
| Danube, Dunaföldvár, Hungary | <LOD (0.001 ng L−1) | |
| Danube, Solt, Hungary | <LOD (0.001 ng L−1) | |
| Danube, Paks, Hungary | <LOD (0.001 ng L−1) | |
| Danube, Mohács, Hungary | 0.005 ng L−1 | |
| Drava, Maribor, Slovenia | 0.006 ng L−1 | |
| Drava, Drávaszabolcs, Hungary | <LOD (0.001 ng L−1) | |
| Sava, Ljubljana, Slovenia | 0.002 ng L−1 | |
| Ljubjanica, Ljubljana, Slovenia | 0.003 ng L−1 | |
| Mur, Murarátka, Hungary | 0.008 ng L−1 | |
| Zala, Balatonhídvég, Hungary | 0.68 ng L−1 | |
| Hévíz-Páhoki canal, Alsópáhok, Hungary | 0.52 ng L−1 | |
| Imremajori canal, Balatonfenyves, Hungary | 0.018 ng L−1 | |
| Sió, Szekszárd-Palánk, Hungary | 0.097 ng L−1 | |
| Kapos, Kaposvár, Hungary | <LOD (0.001 ng L−1) | |
| Zagyva, Szolnok, Hungary | <LOD (0.001 ng L−1) | |
| Tisza, Szolnok, Hungary | <LOD (0.001 ng L−1) | |
| Tisza, Tiszakécske, Hungary | 0.099 ng L−1 | |
| Tisza, Csongrád, Hungary | 0.143 ng L−1 | |
| Lake Balaton, Balatonlelle, Hunary | 0.133 ng L−1 | |
| Lake Balaton, Balatonszárszó, Hungary | <LOD (0.001 ng L−1) | |
| Lake Balaton, Tihany, Hungary | <LOD (0.001 ng L−1) | |
| Pécsi víz total, Pécs, Hungary | 0.175 ng L−1 | |
| Guadiamar River, Spain | <MDL (15.0 ng L−1) | Garrido |
| Hawkesbury River, Australia | n.d. – 29 ng L−1 | Uraipong |
| Huai River, China | n.d. – 0.174 ng L−1 | Niu and Zhang[ |
| 8 rivers in Portugal | <LOD (6.82 ng L−1) | Pereira |
| Laguna de Rocha, Uruguay | <LOQ 0.1 μg L−1 | Griffero |
| Laguna de Castillos, Uruguay | n.d. – 45 μg L−1 | |
| Billings Reservoir Branch, Brazil | n.d. – 1200 ng L−1 | Coelho |
| Yangtze River Estuary (water samples), China | n.d. – 0.11 ng L−1 | Shi |
| Yangtze River Estuary (sediment samples), China | n.d. – 0.72 ng g−1 dw | |
| Shenandoah River Watershed, USA | n.d. – 2.4 ng L−1 | Barber |
Methods to reduce EE2 levels
| Treatment method which lead to the best reported removal efficiency | Best reported removal efficiency, treatment-period in brackets | Initial EE2 concentration | Ref. |
|---|---|---|---|
| KMnO4 and ultrasound | 70.5% (120 min) | 25 μg L−1 | Deng |
| UVC, H2O2 and ultrapure water | 100% (10 min) | 100 μg L−1 | Frontistis |
| Nanoscale zero-valent iron |
| 120 μg L−1 | Jarošová |
| Ultrasonic ozonation | 86.0% (12 min) | 5 μg L−1 | Zhou |
| K3FeO4 or K2FeO4 | 100% (5 min) | 100 μg L−1 | Machalová Šišková |
| Natural organic matter and horseradish peroxidase | 35.1% (8 h) | 500 μg L−1 | Yang |
| TiO2 coated glass rings |
| 20 μg L−1 | de Liz |
| Modified magnetite, H2O2 | 100% (15 min) | 1000 μg L−1 | Serrano |
| Intracellular polymeric substances from anaerobic cultures | 75.5% (5 h) | 0.5 mg L−1 | He |
| AgI/BiOI/BiPO4 | 100% (8 min) | 3 mg L−1 | Long |
| Fungal transformation | 98.6% (72 h) | 10 mg mL−1 | Różalska |
|
|
| 74.1 mg L−1 | Hofmann and Schlosser[ |
| Laccase (from | 86.18% (4 h) | 5 mg L−1 | Golveia |
|
| 41.6% (132 h) | 0.5 mg L−1 | He |
|
| 98.7% (42 d) | 23.5 mg kg−1 | He |
| Long-term electro-domesticated microorganisms, fulvic acids | 98.4% (90 min) | 0.5 mg L−1 | He |
| Ryegrass and | 90% (28 d) | 25 mg kg−1 | He |
| Magnetic ion exchange | 75.3% (75 min) | 20 μg L−1 | Wang |
| Sand, vermiculite, charcoal, granulated activated carbon | >99% (30 d) | 10 μg L−1 | de Castro |
| Gamma-cyclodextrin polymer |
| 11.9 μg L−1 | Tang |
| Soil |
| 2 mg L−1 | de oliveira |