Abstract
Endocrine-disrupting compounds (EDCs) are emerging contaminants of concern (ECC) that disturb endocrine hormones and system functionality even at very low concentrations (i.e. μg/L or ng/L levels). Hence, EDCs are found in all components of the environment including surface and groundwater, wastewater, soil, outdoor and indoor air and in the contaminated foods from a variety of sources (run off from agricultural activities, sewage treatment plants, leakage from septic tanks etc.), and the effects are more severe as the majority of EDCs do not have standard regulations. The environmental mobility of EDCs is higher as conventional wastewater treatment does not degrade efficiently and the development of effective and sustainable removal technologies specifically designed for the removal of those emerging micropollutants is essential. Accordingly, EDCs cause various public health diseases such as reproductive abnormalities, obesity, various cancer types, cardiovascular risks, metabolic disorders, epigenetic alterations, autism, etc. This paper reviews the existing and emerging treatment technologies for the removal of phenolic based EDCs, such as natural estrogens (estrone (E1), 17β-estradiol (E2), estriol (E3)), synthetic estrogen 17α-ethinylestradiol (EE2) and phenolic xenoestrogens (4-nonyl phenols (4-NP) and bisphenol-A (BPA)) from the contaminated environment. These includes advanced oxidation processes (AOP), adsorption processes, membrane based filtration, bioremediation, phytoremediation and other integrated approaches. The sustainability of EDCs removal can be assured through the use of combined processes (i.e. low-cost - biological and adsorption methods with efficient and costly - AOPs) techniques through system integration to achieve better removal efficiency than using a single treatment technique. Besides, the public health concerns and future research perspectives of EDCs are also highlighted.
Keywords: Micropollutants, Endocrine disruptors, Endocrine hormones, Public health concern, Wastewater treatment
Micropollutants, Endocrine disruptors, Endocrine hormones, Public health concern, Wastewater treatment.
1. Introduction
Endocrine disrupting compounds (EDCs) are emerging environmental micropollutants that cause serious environmental pollution and consequently affect wildlife and public health concerns due to their hormone-like behaviors (Guo et al., 2019). EDCs are defined as "agents that interfere with the synthesis, secretion, transport, binding, action, or elimination of natural hormones in the body that are responsible for the maintenance of homeostasis, reproduction, development, and/or behavior". The Endocrine Society defines EDCs as “an exogenous (non-natural) chemical, or a mixture of chemicals, that interfere with any aspect of hormone action”; while the IPCS also defines the endocrine disruptors as “as exogenous substance or mixture that alters function(s) of the endocrine system and consequently causes adverse health effects in an intact organism, or its progeny, or (sub) populations” (IPCS, 2002). They are contaminants having xenobiotic and exogenous origins with estrogenic or androgenic activity (Gadupudi et al., 2019) that inhibit the natural/normal actions of the endocrine system in humans and animals (Li and Zhang 2014). Besides estrogenic or androgenic activity, EDCs may have other activities, such as progestagenic, anti-estrogenic, anti-androgenic activities, etc. Among the huge number of EDCs, the steroid estrogens (see Supplementary Information, Figure S1) (estrone (E1), 17β-estradiol (E2), 17α-ethinylestradiol (EE2), estriol (E3)) and phenolic xenoestrogens (4-nonyl phenols (4-NP) and bisphenol A (BPA)) are the most potent disruptions of the endocrine system. They originate from both anthropogenic and natural sources in a large variety of by/products and materials manufacturing and composition of wastewater, or are subjected to environmental and biological transformations that may form other EDCs intermediate metabolites (see section 4) (Zhang et al., 2015; Combarnous 2017; Liu et al., 2019; Regkouzas and Diamadopoulos 2019; Dong et al., 2019; Guo et al., 2019). The interference of disruptor chemicals alters the functions of an organism's normal hormones and endocrine systems for two reasons (Figure 1): (i) by blocking or mimicking endogenous hormones (Jagne et al., 2016; Ahmed et al., 2018), and (ii) because of their endocrine-modulating behaviors/characteristics within the body (Dong et al., 2018). EDCs, for example, cause birth defects, neurological or developmental disorders, sexual organ malformation, adverse immune effects, breast cancer, cancerous tumors, and other acute and chronic effects even at low EDC concentrations ranging from ng/L to g/L (Jung et al., 2015; B-Moon et al., 2019).
Figure 1.
Schematics showing the EDCs mechanism of action on human health: Blue – physiological hormonal mechanisms, Red – diverse EDCs mechanisms of action (EDC 1–9) shown by the black arrows directing to their site of action (→ simulation and ⊥inhibition) (Combarnous and Nguyen, 2019).
During biological wastewater treatment, the EDCs can be transferred from the sewage to activated sludge because of their hydrophobic properties. For example, the concentration of E1, E2, EE2, E3 and BPA in waste activated sludge (WAS) was from 2-100 ng/g, 5–49 ng/g, 2–17 ng/g, 272–406 ng/g and 620 ng/g, respectively (Li and Zhang 2014). The average composition of estrogen compounds in the effluent of sewage treatment plants (STP) is from 15-70 ng/L, and is high enough to pose public health problems (Ahmed et al., 2018). Human exposure to EDCs in the environment is a life-threatening concern with unknown long-term consequences, particularly when EDC-laden sludge has been used as a fertilizer or effluent reused in agricultural practices. In addition, the principal source of these contaminants in the environment is through wastewater treatment plants (WWTP). As a result, the wastewater treatment scheme was not designed to remove these chemicals, and they are discharged alongside the effluents, causing various environmental contaminations (Kabir et al., 2015; Jung et al., 2015). EDCs have been detected as trace level organic micropollutants in the aquatic environment (such as surface waters, groundwater, marine ecosystems, industrial and municipal effluents, runoff, landfill leachates, and in natural water) (Jung et al., 2013; Tapia-Orozco et al., 2016; Dong et al., 2019; Regkouzas and Diamadopoulos 2019). The extensive occurrence, bioaccumulation, persistence of EDCs and their corresponding potential effects on human health and ecosystem functioning (Abargues et al., 2013) have created a huge global concern. Accordingly, this paper reviews the state of the art removal strategies of the main potent phenolic EDCs from the contaminated environmental sources. Besides, the recent advances, challenges and perspectives are also highlighted.
2. EDCs mechanism of actions on human health
The human endocrine system produces and secretes several endogenous hormones (such as the pituitary gland, thyroid gland, hypothalamus, ovaries and testes, adrenals and pancreas glands) (Combarnous 2017). Endogenous hormones operate as a chemical signal to control biological functions (Khetan, 2014), to communicate with our body tissues, and to regulate development, reproduction and growth (Combarnous, 2017). Endocrine disruptors are anthropogenic and natural agents with diverse chemical structures (Supplementary Information, Figure S1) that interfere with endogenous hormones and pose a risk to public health. EDCs alter hormone balance through a variety of mechanisms, including disrupting hormone synthesis/breakdown, mimicking hormones, altering hormone binding or acting as hormone antagonists, and altering the development of hormone receptors, resulting in a variety of disorders and public health issues (Combarnous and Nguyen, 2019). This includes the increasing prevalence of "hormone-sensitive cancers", reproductive and developmental abnormalities, alterations in the immune system functions, children's abnormal growth patterns and neurodevelopmental delays (Kumar et al., 2020). The EDCs target nuclear receptors (i.e. "hormone dependent transcription factors that exert long-term control of their target phenotype cells"), whereas membrane receptor signaling can also be affected by the EDCs, resulting in short-term effects due to their signaling pathways exerting more acute effects on the target cells. Table 1 and Figure 1 illustrate the main mechanisms of action (Mechanism 1–9) that EDCs can exhibit. Mechanism 1 is shared by all hormone-related mechanisms of action, whereas mechanisms 2–9 show an imbalance in endocrine homeostasis and are not related to the direct hormonal type mechanisms of action by EDCs (Combarnous and Nguyen, 2019).
Table 1.
EDCs mechanisms of action on human health (adapted from Combarnous and Nguyen, 2019).
| Type of mechanism | EDCs mechanisms of action in human health |
|---|---|
| Mechanism 1: the EDCs directly exhibiting hormonal activity through the receptor binding that leads to the activation of its signaling pathways. |
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| Mechanism 2: EDCs bind to the HR, leading to directly inhibiting the endogenous hormone action through receptor occupation of its signaling pathways. |
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| Mechanism 3: EDCs interact with the components of the hormone signaling pathways downstream of the receptor. |
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| Mechanism 4: Stimulation |
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| Mechanism 5: Inhibition of endogenous hormone biosynthesis |
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| Mechanism 6: Binding to the circulating hormone binding protein |
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| Mechanism 7: Stimulation or inhibition of hormone-binding protein degradation or synthesis. |
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| Mechanism 8: Simulation |
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| Mechanism 9: Inhibition of HR expression |
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3. Removal techniques
3.1. Adsorption techniques
The adsorption process is the most effective and low-cost removal technique (B-Moon et al., 2019). However, searching and the development of novel adsorbents has been a thriving research area in the advancement of adsorption science and technology. The activated carbon (AC) adsorption process has been applied to removing several EDCs, mainly due to numerous advantages, such as high surface area and pore structure, the possibility of regeneration and reuse, low capital cost, applicability to removing them at very low concentrations, suitability for batch and continuous systems, hydrophobic nature of surface properties, easily enhanced by various activation techniques (Delgado et al., 2012). The biochar produced by the pyrolysis of biomass in an oxygen-limited environment (Regkouzas and Diamadopoulos 2019; Liu et al., 2019) has gained increasing attention for the removal of EDCs (Jung et al., 2013; Kim et al., 2016; B-Moon et al., 2019), because of its low cost, being environmentally benign and easy availability, the surface density of functional group chemistry, higher condensed structure, volume properties and others (Jung et al., 2013; Dong et al., 2019). Besides, the biochar system plays a significant role in the adsorption capacity and removal mechanism due to the existence of "surface oxygen-containing functional groups" such as carboxyl, lactone, quinone, lactol and their corresponding level of concentrations (Delgado et al., 2012; Jung et al., 2013; Kim et al., 2016; B-Moon et al., 2019).
Kamarehie et al. (2018) achieved an adsorption capacity of BPA of 9.2 mg/g and 22.28 mg/g with powdered activated carbon (PAC) and PAC coated with MgO, respectively. Table 2 shows the advantages and limitations of various EDCs removal technologies, while Table 3 presents the removal efficiencies of phenolic-based EDCs using various techniques. The adsorption capability of adsorbents can be improved by using different surface modifying agents (Kamarehie et al., 2018; B-Moon et al., 2019). Guo et al. (2019) immobilized EE2 (2 mg/L initial concentration) in a biochar derived from corn straw and achieved 1.148 μg/g of EE2 qe from the contaminated sediment. Biochar made of sewage sludge has been utilized and removed 67–99% of mixed EDCs from the water table, while a 35–97% range of removal efficiency was achieved from environmental wastewater samples (Regkouzas and Diamadopoulos 2019). The electrostatic interactions and synergetic effects of hydrophobicity play an important role in explaining the adsorption mechanism in the pore-filling processes (Regkouzas and Diamadopoulos 2019; B-Moon et al., 2019). Following KOH activation, Liu et al. (2020) achieved 100.6 mg/g of qe for E2 adsorption using a biochar made of lotus seedpod (LSP). The enhancement of adsorption capability, magnetic sensitivity and fast magnetic separation of E2 was investigated by modified biochar using magnetic nanoparticles (Mag-BCNPs) and achieved 50.24 mg/g of qe from the polluted water (Dong et al., 2018). The removal efficiency of E2 decreases as its ionic strength increases, with possible adsorption mechanisms including - interactions, chemisorption, electrostatic interactions, and monolayer adsorption (Dong et al., 2018; Liu et al., 2020). Dong et al. (2019) also investigated achieving an 85% degradation efficiency of 4-nonylphenol (4-NP) using Fe3O4 modified bamboo biochar (BBC) for the treatment of real river sediment. The Fe3O4-BB has a low cytotoxic potency and is suitable for contaminated sediment remediation. Ahmed et al. (2018) also achieved 100% removal efficiency of E1, E2, E3, EE2, and BPA using functionalized biochar (fBC) with initial concentrations of 500 g/L and doses of 400 mg/L, where - interactions and hydrogen bonding play a role in the sorption mechanism. The enhanced removal of BPA was also carried out using biochar supported magnetic CuZnFe2O4 composite (CZF–biochar) and achieved a higher qe of 263 mg/g (Heo et al., 2019) with charge-assisted hydrogen bonding, π-π electron donor-acceptor interactions and hydrophobicity governed the adsorption of BPA from the simulated wastewater. Hence, the CZF-biochar could be a benign, efficient and stable adsorbent for the removal of BPA and other emerging EDCs (Heo et al., 2019). From other perspectives, a metal-organic framework (MOFs) as an adsorbent has been developed and achieved a 138.4 mg/g and 200.4 mg/g adsorption capacity (qe) of BPA and EE2, respectively (B-Moon et al., 2019). From these studies, it could be possible to conclude that the EDCs adsorption processes are robust, simple and efficiently employed in large scale applications without forming an intermediate byproduct in the environment. The EDC adsorption performance of other adsorbents is summarized in Table 3.
Table 2.
Advantages and limitations of various EDCs removal technologies (Liu et al., 2019; Jung et al., 2013; Si et al., 2019).
| Technology | Advantages | Limitations |
|---|---|---|
| Adsorption process |
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| Ultrafiltration (UF) |
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| Nanofiltration (NF) |
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| Microfiltration (MF) |
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| Bioremediation techniques |
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| Phytoremediation techniques |
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| Membrane filtration |
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| Advanced Oxidation |
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| Reverse Osmosis (RO) |
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Table 3.
Removal efficiencies of phenolic based EDCs from the contaminated environment.
| No. | Type of EDC | Source | Techniques/Process | Conditions | RE | qe | Reference |
|---|---|---|---|---|---|---|---|
| 1 | Bisphenol A (BPA) | X | Adsorption using Al -organic based process | 2 mg/L concentration, 313 K | - | 70.2 | B-Moon et al. (2019) |
| Water | Photo-Fenton process | 4.4 × 10−5 mol/L concentration | 59 | - | Jiang et al. (2014) | ||
| WAS | UV/H2O2 oxidation processes | pH 3, UV fluence rate 0.069 Mw/cm2, H2O2 dosage 0.5 mol/L, time 2 min | 89 | - | Zhang and Li (2014) | ||
| Municipal wastewater | Freshwater green alga (Nannochloris sp.) | 7 d of incubation through ultrafiltration effluent using Nannochloris sp. | 46 | - | Bai and Acharya (2019) | ||
| Municipal wastewater | Conventional activated sludge processes | Flow rate 59, 010 m3/d, MLSS 8 gss/L with a capacity of 75,000 m3/d | 96 | Cases et al. (2011) | |||
| Flat sheet (MBR-FS) | Flow rate 4.8 m3/d, MLSS 8 gss/L with 20 flat sheet (MBR-FS), area 16 m, flow rate 400 L/h. | 92 | Cases et al. (2011) | ||||
| Hollow fibre (MBR-HF) modules | Flow rate 4.8 m3/d, MLSS 8 gss/L with total area of 20 m2 and a flow rate of 400 L/h | 97 | Cases et al. (2011) | ||||
| X | Photo Fenton process | UV between 100 < λ < 280 nm, pH 3, 2.7 mmol/L Fe(II) and 5 mmol/L H2O2 after 50 min | 100 | Jamil et al. (2017) | |||
| X | PAC | 20–100 mg/L of BPA, PAC (2–6 g), pH (3–11) and contact time (10–60 min) | 9.2 | Kamarehie et al. (2018) | |||
| MgO-PAC crystals | 20–100 mg/L of BPA, MgO-PAC (2–6 g), pH (3–11) and contact time (10–60 min) | 22.28 | Kamarehie et al. (2018) | ||||
| X | CuZnFe2O4 composite (CZF–biochar) | 250 mL of BPA and SMX solutions, adsorbents dose 0.05 g of CZF, temp. 25 °C, time 24 h | - | 263 | Heo et al. (2019) | ||
| X | Biochar composite | 250 mL of BPA and SMX solutions, adsorbents dose 0.05 g of CZF, temp. 25 °C, time 24 h | - | 185 | Heo et al. (2019) | ||
| Secondary effluent | EfOM supported Ultrafiltration and ozonation | 20 mg/L of sodium alginate (NaAg) with 100 μg/L of EDC concentration | 90 | - | Si et al. (2019) | ||
| Tap water | Pilot-scale SPBB using P. ostreatus | 60 mg/L of each EDC concentration within 2 h incubation, pH 6.5 flow of 0.3 L/h | 78 | - | Kresinová et al. (2018) | ||
| X | Pilot-scale TBR using P. ostreatus | 10 d, 200 mg/L TRC concentration | 76 | - | Kresinová et al. (2018) | ||
| Urban wastewater | Pilot-scale SPBB using P. ostreatus | After 24 h and 60 mg/L of each EDC concentration | 97 | - | Kresinová et al. (2018) | ||
| Water | Adsorption on cellulose fiber | 30 mg/L of BPA and 1 g of fiber in 100 mL of water, pH 5, 20 °C temperature, 5 min contact time | 70 | - | Tursi et al. (2018) | ||
| Domestic Wastewater | Constructed Wetlands | 25 mg/L BPA concentration in Heliconia-CW | 73 | - | Toro-Vélez et al. (2017) | ||
| WWTP | Nitrifying activated sludge (NAS) | Batch experiments with 1 mg/L BPA concentration and at 96 h contact time | 100 | - | Kassotaki et al. (2019) | ||
| WWTP | Ammonia oxidizing bacteria (AOB) | 15 mg/L BPA concentration, 2 h batch experiments | 39 | - | Kassotaki et al. (2019) | ||
| X | enzyme polymerization using NF membranes | 180 min, pH 7, MR contained 20 mL of 20 mg/L of BPA | 95 | - | Escalona et al. (2014) | ||
| Wastewater | functionalized biochar (fBC) | BPA concentration 500 μg/L, 110 rpm, 25 °C for 48 h at pH 3.25, 400 mg/L dose of fBC | 100 | - | Ahmed et al. (2018) | ||
| X | Polyamide RO membranes | Model solution of 50 mg/L at 10 bar pressure | ≥98 | - | Yüksel et al. (2013) | ||
| X | BWRO membrane | Model solution of 50 mg/L at 10 bar pressure | 40 | - | Yüksel et al. (2013) | ||
| X | NF membranes | Model solution of 50 mg/L at 10 bar pressure, 6 h | 98 | - | Yüksel et al. (2013) | ||
| AMBR effluent | Microalgae culture reactor | Aerated experiments after the first 22.5 h | 91 | - | Abarguesa et al. (2013) | ||
| AMBR effluent | Microalgae culture reactor | The non-aerated experiment after 22.5 h | 80 | - | Abarguesa et al. (2013) | ||
| WAS | Calcium peroxide (CaO2) oxidation | At neutral pH with CaO2 dosage 0.34 g/g TS, EDC 69 mg/g TS BPA concentration | 99 | - | Zhang et al. (2015) | ||
| 2 | 17α-ethynylestradiol (EE2) | X | Al-based metal-organic | 2.0 mg/L BPA concentration and 313 K tem | - | 87.0 | B-Moon et al. (2019) |
| WAS | UV/H2O2 oxidation processes | pH 3, UV irradiation rate 0.069 Mw/cm2, H2O2 dosage 0.5 mol/L, 2 min time | 95 | - | Zhang and Li (2014) | ||
| X | Photo-Fenton process | 8.5 mg/L H2O2 under irradiation of 0.1 g catalyst and 8.5 mg/L H2O2 with UV light at 60 min | 98 | - | Baycan and Puma (2018) | ||
| MWWE | Freshwater green alga (Nannochloris sp.) | 7 d of incubation through ultrafiltration effluent using Nannochloris sp. | 60 | - | Bai and Acharya (2019) | ||
| Sediment –water interface | Adsorption on corn straw biochar | 48 h, 150 rpm, temp 25 °C, pH 7, with initial PFOS and EE2 concentrations of 2 mg/L, pore volume 0.201 cm3/g | - | 1,148 μg/g | Guo et al. (2019) | ||
| Tap water | Pilot-scale SPBB using P. ostreatus | 60 mg/L of EE2 concentration, 2 h incubation, pH 6.5 flow of 0.3 L/h | 78 | - | Kresinová et al. (2018) | ||
| X | Pilot-scale TBR using P. ostreatus | 10 d, 200 mg/L TRC concentration | 76 | - | Kresinová et al. (2018) | ||
| Urban wastewater | Pilot-scale SPBB using P. ostreatus | After 24 h and 60 mg/L EE2 concentration | 97 | - | Kresinová et al. (2018) | ||
| X | ultrafiltration and ozonation | In sodium alginate (NaAg) 20 mg/L and 100 μg/L EE2 concentration | 90 | - | Si et al. (2019) | ||
| X | Algae pond | 9.71 ng/l of EE2 concentration with 128 mg/L algae in TSS, 90 strokes per min for 3 h | 86.8 | - | Shi et al. (2010) | ||
| X | Duckweed pond | 9.71 ng/L of concentration seeded with 5,000 mg fresh duckweed (TSS about 380 mg), 90 strokes per min for over 3 h. | 93.9 | - | Shi et al. (2010) | ||
| WWTP | Nitrifying activated sludge (NAS) | At 1 mg/L on initial concentration in batch experiments with 96 h contact time | 100 | - | Kassotaki et al. (2019) | ||
| WWTP | Ammonia oxidizing bacteria (AOB) | 15 mg/L EE2 concentration, 2 h batch experiments | 34 | - | Kassotaki et al. (2019) | ||
| WAS | Fenton oxidation | H2O2 dosage 15.62 mmol/g, pH 3, time 60 min, Fe(II) to H2O2 molar ratio of 0.167 | 84 | - | Li and Zhang (2014) | ||
| WAS | Calcium peroxide (CaO2) oxidation | At neutral pH and CaO2 dosage of 0.34 g/g TS, EDC with 69 mg/g TS concentration | 94 | - | Zhang et al. (2015) | ||
| Wastewater | oH3PO4 activated | 500 μg/L of EE2 concentration, 110 rpm, 25 °C for 48 h at pH 3.25, 400 mg/L dose of fBC | 100 | - | Ahmed et al. (2018) | ||
| X | Photo oxidation process | 8.5 mg/L H2O2 under irradiation of 0.1 g catalyst and 8.5 mg/L H2O2 with UV light at 60 min | 95 | - | Baycan and Puma (2018) | ||
| 3 | Estrone (E1) | X | Ultrafiltration (UF) and ozonation | 20 mg/L of sodium alginate (NaAg) and 100 μg/L E1 concentrations | 90 | - | Si et al. (2019) |
| MWWTP | Conventional activated sludge (CAS) processes | Flow rate 59, 010 m3/d, MLSS 8 gss/L with a capacity of 75,000 m3/d and treats wastewater of 420,000 inhabitants | 99 | - | Cases et al. (2011) | ||
| MWWTP | Flat sheet (MBR-FS) | Flow rate 4.8 m3/d, MLSS 8 gss/L with 20 flat sheet (MBR-FS), area of 16 m2 and flow rate of 400 L/h. | 99 | - | Cases et al. (2011) | ||
| MWWTP | Hollow fibre (MBR-HF) modules | Flow rate 4.8 m3/d, MLSS 8 gss/L with total area of 20 m2 and a flow rate of 400 L/h | 99 | Cases et al. (2011) | |||
| MWWE | Freshwater green alga (Nannochloris sp.) | 7 d of incubation through ultrafiltration effluent using Nannochloris sp. | 29 | - | Bai and Acharya (2019) | ||
| WAS | UV/H2O2 oxidation processes | pH 3, UV wavelength 253.7 nm, UV fluence rate 0.069 Mw/cm2, H2O2 dosage 0.5 mol/L, 2 min time | 97 | - | Zhang and Li (2014) | ||
| Tap water | Pilot-scale SPBB using P. ostreatus | 60 mg/L E1 concentration, 2 h incubation, pH 6.5, flow rate of 0.3 L/h | 78 | - | Kresinová et al. (2018) | ||
| X | Pilot-scale TBR using P. ostreatus | 10 d, 200 mg/L TRC concentration | 76 | - | Kresinová et al. (2018) | ||
| Urban wastewater | Pilot-scale SPBB using P. ostreatus | After 24 h and 60 mg/L of each EDC concentration | 97 | - | Kresinová et al. (2018) | ||
| X | Algae pond | 43.5 ng/L of E1 concentration, 128 mg/L algae in TSS, 90 strokes per min for 3 h | 83.9 | - | Shi et al. (2010) | ||
| X | Duckweed pond | 43.5 ng/L of concentration, 5,000 mg fresh duckweed (TSS about 380 mg), 90 strokes per min for over 3 h. | 94.4 | - | Shi et al. (2010) | ||
| Wastewater | functionalized biochar (fBC) | 460.5 μg/L E1 concentration, 110 rpm, 25 °C for 48 h at pH 3.25, and for 400 mg/L dose of fBC | 100 | - | Ahmed et al. (2018) | ||
| WWTE | Nitrifying activated sludge (NAS) | 15 mg/L E1 concentration, 2 h batch experiments | 100 | - | Kassotaki et al. (2019) | ||
| WWTE | Ammonia oxidizing bacteria (AOB) | 15 mg/L E1 concentration, 2 h batch experiments and at 18.2 mg/L/h of acetate consumption | 38 | - | Kassotaki et al. (2019) | ||
| WAS | Fenton oxidation | H2O2 dosage 15.62 mmol/g, pH 3, time 60 min, Fe(II) to H2O2 molar ratio 0.167 | 70 | - | Li and Zhang (2014) | ||
| WAS | Calcium peroxide (CaO2) oxidation | At neutral pH and CaO2 dosage of 0.34 g/g TS, E1 concentration of 69 mg/g TS | 92 | - | Zhang et al., (2015) | ||
| X | Biochar | At 25 °C, 200 rpm, 30 μL of magnetic biochar nanoparticle with 200 mg/mL influent, pH 4 | - | 50.24 | Dong et al. (2018) | ||
| 4 | 17β-estradiol (E2) | X | Adsorption KOH treated lotus seedpod biochar | 7 mg/L E2 concentration, 27 °C temp, 20 h time, pH 10.0, adsorbent dose 3 mg, 160 r/min | - | 100.6 | Liu et al. (2020) |
| X | Graphene oxide based biochar | 6 mg/L E2 concentration, 298 K and pH 7.0. | - | 46.22 | Liu et al. (2019) | ||
| X | Photo-Fenton process | 8.5 mg/L H2O2 under irradiation of 0.1 g catalyst and 8.5 mg/L H2O2 with UV light at 60 min | 92 | - | Baycan and Puma (2018) | ||
| WAS | Calcium peroxide (CaO2) oxidation | At neutral pH and CaO2 dosage of 0.34 g/g TS, 69 mg/g TS E2 concentration | 100 | - | Zhang et al. (2015) | ||
| WAS | UV/H2O2 oxidation processes | pH 3, UV wavelength 253.7 nm, UV fluence rate 0.069 Mw/cm2, H2O2 dosage 0.5 mol/L, 2 min time | 92 | - | Zhang and Li (2014) | ||
| X | Algae pond | 29.7 ng/L of E2 concentration, 128 mg/L algae in TSS, 90 strokes per min for 3 h | 91.2 | - | Shi et al. (2010) | ||
| X | Duckweed pond | 29.7 ng/L of concentration, seeded with 5,000 mg fresh duckweed (TSS about 380 mg), 90 strokes per min for over 3 h. | 95.4 | - | Shi et al. (2010) | ||
| Tap water | Pilot-scale SPBB using P. ostreatus | 60 mg/L E2 concentration, 2 h incubation, pH 6.5 flow of 0.3 L/h | 78 | - | Kresinová et al. (2018) | ||
| X | Pilot-scale TBR using P. ostreatus | 10 d, 200 mg/L E2 concentration | 76 | - | Kresinová et al. (2018) | ||
| Urban wastewater | Pilot-scale SPBB using P. ostreatus | 24 h and 60 mg/L of E2 concentration | 97 | - | Kresinová et al. (2018) | ||
| X | ultrafiltration and ozonation | In sodium alginate (NaAg) 20 mg/L and 100 μg/L E2 concentration | 90% | - | Si et al. (2019) | ||
| MWWE | Freshwater green alga (Nannochloris sp.) | 7 d of incubation from the algal culture in UF effluent using Nannochloris sp. | 60 | - | Bai and Acharya (2019) | ||
| WWTE | Nitrifying activated sludge (NAS) | At 1 mg/L on E2 concentration, 96 h contact time | 100 | - | Kassotaki et al. (2019) | ||
| WWTE | Ammonia oxidizing bacteria (AOB) | 15 mg/L E2 concentration, 2 h batch experiments | 100 | - | Kassotaki et al. (2019) | ||
| WAS | oH3PO4 activated biochar | 500 μg/L E2 concentration, 110 rpm, 25 °C for 48 h at pH 3.25, 400 mg/L dose of fBC | 100 | - | Ahmed et al. (2018) | ||
| WAS | Fenton oxidation | H2O2 dosage, 15.62 mmol/g, initial pH 3, time 60 min, Fe(II) to H2O2 molar ratio 0.167 | 90 | - | Li and Zhang (2014) | ||
| WWTE | Nitrifying activated sludge (NAS) | At 1 mg/L E2 concentration, 96 h contact time | 100 | - | Kassotaki et al. (2019) | ||
| WWTE | Ammonia oxidizing bacteria (AOB) | 15 mg/L E2 concentration, 2 h batch experiments | 78 | - | Kassotaki et al. (2019) | ||
| 5 | Estriol (E3) | Tap water | Pilot-scale SPBB using P. ostreatus | 60 mg/L E3 concentration, 2 h incubation, pH 6.5 flow of 0.3 L/h | 78 | - | Kresinová et al. (2018) |
| X | Pilot-scale TBR using P. ostreatus | 10 d, 200 mg/L E3 concentration | 76 | - | Kresinová et al. (2018) | ||
| Wastewater | functionalized biochar (fBC) | 500 μg/L E3 concentration, 110 rpm, 25 °C for 48 h at pH 3.25, 400 mg/L dose of fBC | 97 | - | Ahmed et al. (2018) | ||
| Urban wastewater | Pilot-scale SPBB using P. ostreatus | 24 h and 60 mg/L of E3 concentrations | 97 | - | Kresinová et al. (2018) | ||
| X | Ultrafiltration and ozonation | In sodium alginate (NaAg) 20 mg/L and 100 μg/L E3 concentration | 90% | - | Si et al. (2019) | ||
| WAS | Fenton oxidation | H2O2 dosage 15.62 mmol/g, initial pH 3, time 60 min, Fe(II) to H2O2 molar ratio 0.167 | 98 | - | Li and Zhang (2014) | ||
| WAS | Calcium peroxide (CaO2) oxidation | At neutral pH and CaO2 dosage of 0.34 g/g TS, 69 mg/g TS E3 concentration | 93 | - | Zhang et al. (2015) | ||
| WAS | UV/H2O2 oxidation processes | pH 3, UV wavelength 253.7 nm, UV fluence rate 0.069 Mw/cm2, H2O2 dosage 0.5 mol/L, 2 min time | 94 | - | Zhang and Li (2014) | ||
| X | Photo-Fenton process | 8.5 mg/L H2O2 under irradiation of 0.1 g catalyst and with UV light at 60 min | 70% | - | Baycan and Puma (2018) | ||
| Water | Fungus Umbelopsis isabellina | 12 h of incubation, 25 mg/L E3 concentration | 90 | - | Janicki et al. (2016) | ||
| 6 | Nonylphenols (NP) | Wastewater | U. isabellina fungus | 25 mg/L of NP and 10% of fungal culture | 15.2 | - | Janicki et al. (2018) |
| Domestic Wastewater | Constructed Wetlands | 25 mg/L NP concentration in Heliconia-CW | 63 | - | Toro-Vélez et al. (2017) | ||
| Tap water | Pilot-scale SPBB using P. ostreatus | 60 mg/L of NP concentration within 2 h incubation, pH 6.5 flow of 0.3 L/h | 78 | - | Kresinová et al. (2018) | ||
| X | Pilot-scale TBR using P. ostreatus | 10 d, 200 mg/L NP concentration | 76 | - | Kresinová et al. (2018) | ||
| 7 | 4-n-nonylphenol (4-NP) | Urban wastewater | Pilot-scale SPBB using P. ostreatus | 24 h and 60 mg/L of 4-NP concentration | 97 | - | Kresinová et al. (2018) |
| X | UV/H2O2 oxidation processes | At pH 3, UV fluence rate 0.069 Mw/cm2, H2O2 dosage 0.5 mol/L, 2 min time | 67 | - | Zhang and Li (2014) | ||
| River marine sediments | Biochars | pH 3, dosage of 3.33 g/L Fe3O4-bamboo biochar (BB) and 2.3 × 10−5M persulfate (PS) in a biochar-sediment system. | 85 | - | Dong et al. (2019) | ||
| AMBR effluent | Microalgae culture reactor | Aerated experiments after the first 22.5 h | 91 | - | Abarguesa et al. (2013) | ||
| AMBR effluent | Microalgae culture reactor | For non-aerated conditions | 100 | - | Abarguesa et al. (2013) | ||
| 8 | technical-nonylphenol (t-NP) | X | Adsorption on α-cellulose with KOH activation | 120 min time, 150 mg/L of t-NP concentration | 82.8 | 1072.9 | He et al. (2016) |
| AMBR effluent | Microalgae culture reactor | Aerated experiments after the first 22.5 h | 91 | - | Abarguesa et al. (2013) | ||
| AMBR effluent | Microalgae culture reactor | For non-aerated conditions | 80 | - | Abarguesa et al. (2013) | ||
| MWWE | Freshwater green alga (Nannochloris sp.) | 7 d of incubation from the algal culture in UF effluent using Nannochloris sp. | 100 | - | Bai and Acharya (2019) | ||
| 11 | 4-tert-octylphenol (4-t-OP) | Wastewater | oH3PO4 activated | 500 μg/L concentration, 110 rpm, 25 °C for 48 h at pH 3.25, 400 mg/L dose of fBC | 97 | - | Ahmed et al. (2018) |
| 12 | 4-cumylphenol (4-CP) | Wastewater | U. isabellina fungus | 25 mg/L of concentration and 10% of fungal cultures | 93.1 | - | Janicki et al. (2018) |
| 13 | 4-tert-butylphenol (4tBP) | Wastewater | U. isabellina fungus | 25 mg/L concentration and 10% of fungal culture | 65.3 | - | Janicki et al. (2018) |
| 14 | 4-cumylphenol (4-CP) | AMBR effluent | Microalgae culture reactor | Aerated experiments after the first 22.5 h | 91 | - | Abarguesa et al. (2013) |
| 15 | 4-tert-octylphenol (4-t-OP) | AMBR effluent | Microalgae culture reactor | For non-aerated conditions with 22.5 h | 80 | - | Abarguesa et al. (2013) |
Note: X - synthetic wastewater, qe - equilibrium adsorption capacity (mg/g), RE-removal efficiency, SPBB-static packed-bed bioreactor, TBR - trickle-bed reactor, BWRO - Brackish water reverse osmosis, PAC – Powdered activated carbon, RO - reverse osmosis, NF – nanofiltration, AMBR - Anaerobic membrane bioreactor, MWWTP - municipal wastewater treatment plant, WWTE – Wastewater treatment effluent, WAS - Waste activated sludge, ROC - Reverse osmosis concentrate, PPCPW - Pharmaceutical and personal care products wastewater.
3.2. Membrane based filtrations
Membrane filtration technologies such as nano-filtration (NF), ultra-filtration (UF) and reverse osmosis (RO) are a promising wastewater treatment for removing various micropollutants ( Bolong et al., 2010; Escalona et al., 2014) due to their lower energy requirement. The large pore size of the UF membrane limits the effective removal of EDCs, while NF is popular because of its effective physical nature of separation and membrane design. Numerous studies have shown the effectiveness of EDC removal by RO, NF and UF supported membrane filtration (Cases et al., 2011; Yüksel et al., 2013; Si et al., 2019). Si et al. (2019) investigated the effect of effluent organic matter (EfOMs), humic acid (HA), sodium salt (NaAH), bovine serum albumin (BSA) using ozonation and UF-MBR were investigated in the secondary treatment effluent. Over 90% cumulative removal efficiency of all EDCs (BPA, E1, E2, EE2 and E3) was achieved. The removal of BPA, alkylphenol compounds (4OP and 4tOP) and nonylphenols (NP) in combined conventional activated sludge with tertiary treatments (CAS-TT), and two membrane bioreactor pilot plants installed with flat sheet (MBR-FS) and hollow fiber membrane (MBR-HF) modules were studied by Cases et al. (2011). The MBR or CAS-TT demonstrated efficient removal of 4tOP and BPA, while the MABR-HF demonstrated adequate removal efficiency of NP. The removal efficiency of EDCs in all treatment schemes is illustrated in Table 3. In another study, the removal efficiency of BPA from a simulated wastewater (50 mg/L) was ≥98%, 10–40% and 80%, respectively, with polyamide and and cellulose acetate based reverse osmoses (PARO and CARO) and NF membranes (Yüksel et al., 2013). This confirms that the PARO membrane exhibited better removal performance of BPA than the CARO membrane. In addition, over 90% and 70% BPA (10 mg/L initial concentrations) removal efficiency was achieved at pH 8 in a lab scale fabricated NF hollow fiber membrane (PES-PEGHBS) from wastewater and deionized water, respectively (Bolong et al., 2010). The main reason for achieving a higher removal efficiency of BPA is due to the solute under the influence of the alkaline solution (pH 8) feed water matrix and the negatively charged properties of the hollow fiber membrane. Escalona et al. (2014) facilitated using enzymatic BPA degradation, operated in a NF membrane coupled to recycling mode using two enzymatic (i.e. peroxidase and laccase) treatment and achieved over 95% removal efficiency of BPA within 180 min and at pH 7.
3.3. Advanced oxidation processes (AOPs)
Advanced oxidation processes (AOPs) are a promising and robust technology that is capable of mineralizing organic micropollutants (i.e. transforming them into CO2 and H2O and other inorganic salts) (Cong et al., 2014; Yang 2015; Tasca et al., 2019; Cunha et al., 2019). With this approach, the removal of EDCs can be improved by optimizing the existing technology, specifically through activated sludge treatment or by upgrading the prevailing WWTPs with novel and end pipe treatment technologies. The EDCs biodegradation has commenced by various chemical reaction mechanisms illustrated in Supplementary Information, Table S1. The oxidation process in H2O2-based degradation involves: (i) the generation of hydroxyl radicals in water; followed by the reaction between free radicals and organic pollutants, resulting in the complete degradation of complex structured EDCs and conversion to simple chemical structured compounds, such as carbon dioxide and methane (Cesaro and Belgiorno 2016). While in ozonation pursued for wastewater treatment (WWT), the oxidation process relies on the direct action of ozone itself (i.e. selective), where the self-degradation of ozone molecules acts as a dipole (as electrophilic agents and as nucleophilic agents that occurs at an acidic pH). However, the indirect ozonation mechanism involves the indirect action of the hydroxyl radicals formed by the decomposition of ozone in water at basic conditions. It is influenced by the presence of chemical species that can pledge (e.g. hydroxyl and perhydroxyl ions), promote (like methanol and ozone) and inhibit (e.g. carbonate ion) the decomposition of ozone (Cesaro and Belgiorno 2016), where both direct and indirect reactions are taking place concurrently. However, the ozonation efficiency depends on the compounds to be removed and the optimization level of operating conditions.
Accordingly, the removal efficiency of EE2 was increased from 20% to 90% by 15 mg/L of H2O2 addition by the photolysis process in water (Rosenfeldt and Linden 2004), while 98% removal efficiency of E1 and E2 was achieved in 1h using UV irradiation; and the degradation rate increased with the H2O2 addition (Zhang et al., 2007). The combined UV/H2O2 technique is also found to be very effective in the degradation of organic micropollutants in water; hence, the H2O2 photolysis destroys the EDCs completely (Zhang and Li 2014). In research done by Zhang and Li (2014), the removal efficiency of E1, E2, EE2, E3, BPA and 4-NP in 2 min was 97%, 92%, 95%, 94%, 89%, and 67%, respectively, using the combined H2O2 process in waste activated sludge (WAS) treatment. The oxidation process of EDCS was governed by the hydroxyl radical (. OH) (Zhang and Li 2014). In Fenton processes, oxidation of EDCs has occurred by hydroxyl radicals, generated by the presence of ferrous or ferric ions (Fe2+ or Fe3+) in its catalytic decomposition process. However, the performance of the Fenton process depends on H2O2 and Fe2+ concentrations and dosage, the properties of the EOM and the acidic nature of the solution. The oxidation rates of EDCs are strongly increased when the UV system is combined with the Fenton process UV/(H2O2/Fe2+) (Li and Zhang 2014). Accordingly, the removal of E1, E2, EE2 and E3 in WAS treatment with combined Fenton/H2O2 was 70%, 90%, 84% and 98%, respectively (Li and Zhang 2014), while Zhang et al. (2015) described the removal efficiency of E1, E2, EE2 and E3 from WAS using calcium peroxide (CaO2) as 90%, 92%, 100%, and 93%, respectively. When comparing the oxidation potential of CaO2 with other oxidative agents (like H2O2), the EDCs products during CaO2 oxidation had less estrogenic activity than the original EDCs.
Heterogeneous photocatalysis is an AOP method in which the heterogeneous catalyst occurs at different phases than the reaction medium. Examples are titanium dioxide (TiO2), zinc oxide (ZnO), zinc sulfide (ZnS), cadmium sulfide (CdS), tin oxide (SnO2) and ferric oxide (Fe2O3). Amongst them, TiO2 is the most common and widely used photocatalyst because of its high stability, considerable activity, low cost and environmentally benign (Cesaro and Belgiorno 2016). UV irradiation induces electron-hole pair formation in this process, and the charge carriers have reacted with chemical species (e.g., H2O2 molecules and molecular O2 in the air) to generate hydroxyl radicals, which contribute to the degradation of EDCs at the photocatalyst surface (Cesaro and Belgiorno 2016). Accordingly, Zhang and Li (2014) described the combined UV oxidation with the immobilization of iron on perfluorosulfonic polymer (Nafion) has been examined as a carrier for the oxidation of EDCs estrogens and resulted in over 90% removal efficiency of E1, E2, EE2 and E3 with the only addition of 8.5 mg/L of H2O2 at 60 min. Hence, the photo-Fenton reaction catalysis by the composite and the presence of iron through the catalyst led to the rapid degradation of the estrogenic compounds. The degradation of E2 (10 μg/L initial concentrations) in water using TiO2 photocatalysis was investigated by Ohko et al. (2002) and E2 was completely mineralized into CO2 at a 1 g/L dose of the catalysts for 3h. This showed that TiO2 photocatalysis effectively removed the natural and simulated estrogen pollutants without generating any biologically active intermediate byproducts in its degradation pathways (see Supplementary Information, Figure S2).
Electrochemical (EC) is one of the AOPs developed recently for water and wastewater treatments (Yang 2015). The performance of this technique in WWT depends mainly on the anode properties and on the characteristics of organic pollutants involved in the oxidation process (Cong et al., 2014; Yang 2015). In EDCs removal of the WWT, the hydroxyl radical generated by the electrode in the EC processes is consumed by the co-existing pollutants, thereby requiring and consuming a high energy supply (Cong et al., 2014). The demonstration of the EC process has achieved complete mineralization of 100 μg/L of EE2 within 7 min (Frontistis et al., 2011), and 250–500 μg/L of E2 in 30–40 min (Murugananthan et al., 2007) using boron doped diamond electrode reactors. 96% of EE2 was able to be removed in 15 min using a mixed Ti/SnO2 electrode (Feng et al., 2010). About 98% of E1, E2 and EE2 (each 1 μg/L initial concentrations) were removed in continuous treatment systems using an electrolytic reactor containing carbon electrodes, while 74–88% removal efficiency of E1 has been found at 100 μg/L loading rate (LR) within 21 d of operation (Cong et al., 2014). In this approach, the removal of estrogen was recognized through estrogen polymerization, while the degradation of the polymer formed (regeneration of the electrode) was done using the hydroxyl radicals generated during the ozone reduction in the process (Cong et al., 2014).
Yang (2015) performed the degradation of BPA using sulfate radicals in an electrochemical assistant Fe2+-activated PDS process and achieved 97% of removal efficiency in 120 min at 2.5 mg/L of Na2S2O8 from the simulated wastewater. In a study by Cunha et al. (2019), the performance of a carbon nanotube (CNT) electrochemical filter was applied to remove estrogenic EDCs at 2.5 V and achieved up to 99.1% removal efficiency of both E2 and EE2 in ultrapure water and 96.3% in urban wastewater. In this process, the oxidation of estrogenic compounds has adhered to the CNT surface and may cause electrode polymerization. Besides, no formation of estrogen intermediates was found, while confirming the presence of remaining E2 and EE2 concentration effluents (Cunha et al., 2019).
3.4. Bioremediation techniques
The bioremediation technique is an effective and the most economic means of water treatment for removing micropollutants and produces high biomass energy using photo/bioreactor systems (Shi et al., 2010; Kresinová et al., 2018; Bai and Acharya 2019; Kassotaki et al., 2019). The removal of E2 and EE2 from two spiked UF and ozonation wastewater effluents cultivated with green algae Nannochloris sp. and found 60% removal efficiency of the EDCs in 7 d of operation in the UF effluents. In a study by Shi et al. (2010), 95.4%, 94.4% and 93.9% removal efficiency of E1, E2 and EE2, respectively, were achieved using duckweed ponds from the treatment of sewage plant effluents, while 83.9%, 91.2% and 86.8% removal efficiency of E1, E2 and EE2 were found with algae ponds, respectively. The process of estrogenic removal for simulated wastewater can be rapidly adsorbed on algae or duckweed, followed by degradation by the biological biota using microorganisms, duckweed or algae in the WWT system. Abarguesa et al. (2013) achieved 91% removal efficiency for BPA, 4-NP, t-NP and 4-cumyphenol (4-CP) at 22.5 h HRT using the aerated microalgae culture reactor from the membrane effluents. In a study by Kassotaki et al. (2019), another batch of experiments were conducted with lab-scale cultivated enriched biomasses (Nitrifying activated sludge (NAS), Ammonia oxidizing bacteria (AOB), and conventional activated sludge (CAS)) for the removal of E1, E2, E3, EE2 and BPA in an effluent withdrawn from the municipal wastewater treatment plant (WWTP). In this regard, the heterotrophic fraction of CAS performed better attenuation than AOB and NAS for removal of 100% E2 and 78% E3, while the removal of E1, EE2 and BPA was persistent biologically with a removal efficiency ranging from 10-46% for E1 and 10–39% for EE2 and BPA. This showed that the degradation capability of EDCs was exhibited among the compounds (Kassotaki et al., 2019). The white rot fungus P. ostreatus HK 35 was able to remove over 90% of BPA, E1, E2, EE2, E3 and 4-NP within 12 d of lab-scale operation, while above 95% of EDCs removal efficiency was achieved in a pilot-scale trickle bed bioreactor comprising substrates of spent mushroom with the suppression of estrogenic activity. After 10 d of operation, the pilot-scale trickle bed bioreactor was able to remove over 76% of EDCs successfully from WWTP (Kresinová et al., 2018). The U. isabellina culture was able to remove t-NP and 4t-NP (each 25 mg/L initial concentration) with 90% removal efficiency at 12 h of operations, while under the presence of metal ion competition, 15.2% of t-NP and 65.3% of 4t-NP removal efficiency had been achieved (Janicki et al., 2018). This demonstrates the ability of the single culture, U. Isabellina, to remove both heavy metals and EDCs at the same time, and confirms its suitability for the development of strategies for removing xenobiotic pollutants from co-contaminated environments. The T. versicolor pellets were able to degrade the EDCs with 83.2% removal efficiency in a batch fluidized bed bioreactor under the non-sterile conditions of real mixed hospital wastewater treatment (Cruz-Morató et al., 2014).
3.5. Phytoremediation techniques
Constructed wetlands (CWs) based phytoremediation process applied to the concurrent removal of nutrients, COD and trace level organic pollutants from the contaminated ecosystem (Dai et al., 2017). In developing countries, the phytoremediation technique is an area chosen by many researchers for treating xenobiotic pollutants due to its low cost of operation, lower energy consumption, and reduced energy consumption. In a study by Toro-Vélez et al. (2017), tropical horizontal sub-surface CWs were investigated using Heliconia to achieve 73% of BPA and 63% of NP, while Phragmites CW accomplished 70% BPA and 52% NP removals and, in an unplanted CW system, performed at 62% BPA and 25% NP removal efficiencies. The higher removal performance of Heliconia CW suggests that a native plant from the tropics can achieve better removal efficiency of EDCs. The capability of a stacked constructed wetland (SCW) involving horizontal and vertical flows of CWs and an assembled biofilter (ABF) was investigated to remove phenolic EDCs (PEDCs) from the sewage treatment plant (STP) at higher loading rates (HLRs) of 0.5–2.0 m/d. The SCW and ABF revealed different PEDCs removal performances with 58 and 51% of 4-t-octyl phenol (4-t-OP), 48 and 44% of E1, 45 and 32% of BPA, respectively, due to their process structural differences (Dai et al., 2017). This showed that process optimization by increasing the number of substrate layers, by considering ABF design flexibility and through integrating approach, a better removal performance of EDCs can be achieved than single CWs systems.
4. Removal mechanisms of some EDCs
EDCs are ubiquitous in the aqueous ecosystem, and are an emerging concern for water quality deterioration as multiple EDCs have been detected in surface waters and wastewater effluents (Neamtu and Frimmel 2006). Supplementary Information, Figure S2 to Figure S4 expresses the degradation mechanisms of some phenolic EDCs (E2, BPA) in typical AOPs, while Figure S5 and Figure S6) shows the metabolic biodegradation mechanisms of EE2 and BPA, respectively. Figure S3 illustrates the degradation mechanism of E2 into intermediate byproducts such as 10ε-17β-dihydroxy-1,4-estradieno-3-one (m/z 287) was formed, while byproduct 2 (m/z 278) was proposed by the ozonolysis of the phenolic moiety (Pereira et al., 2011). Katsumata et al. (2004) also investigated the treatment of BPA using Fenton reagent in water under UV-irradiation and achieved more than 90% mineralization after 36 h. Figure S4 illustrates the photo-Fenton decomposition of BPA and produces 6 intermediate byproducts: phenol, 4-hydroxyacetophenone, 4-isopropylphenol, p-hydroquinone, 4-isopropenyl-phenol, methyl benzofurans and some oxidative ring-opened products (i.e. formic acid, acetic acid and acetaldehyde and then finally converted into carbon dioxide and water (Katsumata et al., 2004). Figure S5 also shows the biodegradation of BPA using environmentally distributed soil bacteria Sphingomonas sp. strain AO1 and the cytochrome P450 monooxygenase system was also involved (Sasaki et al., 2005). The BPA biodegradation pathway involves two primary intermediate metabolites, namely 4-hydroxybenzoic acid, 4-hydroxyacetophenone, and two primary metabolites (2,3-bis (4-hydroxyphenyl)-1,2-propanediol and 2,2-bis (4-hydroxyphenyl)-1-propanol). The 4-hydroxybenzoic acid was made from 4-hydroxyacetophenone through oxidative rearrangements (Figure S5) (Suzuki et al., 2004). EE2 (30 mg/L) was metabolized up to 87% within 10 d using bacterial strain Sphingobacterium sp. JCR5 (Haiyan et al., 2007) from a WWTP of the oral contraceptive factory. Figure S6 shows the biodegradation pathways of EE2 undergoing subsequent ring cleavages. An intermediate metabolite of 3,4-dihydroxy-9,10-secoandrosta-1,3,5(10)-triene-9,17-dione was formed. Furthermore, two intermediate metabolites, namely, 2-hydroxy-2,4-dienevaleric acid and 2-hydroxy-2,4-diene-1,6-dioic acid are formed and mineralized into CO2 and H2O (Figure S6) (Haiyan et al., 2007).
5. Future research perspectives
The EDCs, identified as emerging micropollutants, are known as a problematic issue due to their bioaccumation nature and owing to their accidental discharge in the environment (Kassotaki et al., 2019; Bai and Acharya 2019). The majority of the negative health effects of EDCs are caused by the poor and incomplete degradation of emerging EDCs by a single treatment technique in water and wastewater. As a result, the existing conventional treatment system has reverted to using EDCs as a point source of ecological contamination by producing toxic sludge containing EDCs. Therefore, the mitigation of EDCs toxicity should be based on the degradation processes through mineralization pathways into nontoxic and stable products. The complete removal of EDCs is challenging because of their persistency and complexity in water, wastewater and sediment. As a result, more research will be needed on: (i) the concurrent adsorption of various EDCs using the same adsorbent materials in both simulated and real wastewater to achieve better removal efficiency; (ii) most reports of EDCs removal are from water or wastewater, but food is identified as one of the most common EDC exposures to humans, therefore, further study will be needed on the removal of EDCs from the contaminated food; and (iii) the upgrading, installing and redesigning of conventional WWTPs with the available convenient technologies aiming for the complete removal (degradation or mineralization) of the EDCs from the urban WWTPs as a post treatment, and (iv) the research on emerging EDCs detection and removal should be prolonged in the developing countries, which will benefit the water industry and policy makers to pick alternative and appropriate advanced wastewater treatment techniques.
6. Conclusion
This review illustrates the recent advances in the main phenolic-based endocrine disrupters and their metabolites from the contaminated environment. EDCs are an emerging contaminant of concern even at very concentrations (in μg or ng levels). The conventional WWTP does not entirely remove EDCs and part of the removal is attained by transferring the pollutants into a high volume of sewage sludge, which becomes a source of other secondary pollution that causes various risks to human and environmental health. Due to the lack of the most convenient tertiary WWT technologies, the problem is more severe in developing countries. The majority of research has been conducted on simulated waste containing a single compound to be degraded, with only a few studies on real waste and endocrine disruptors existing in mixtures of various components. The performance of the techniques depends on the operating conditions of the wastewater treatment (such as initial concentrations, pH, temperature, nature of the EDCs in the aquatic environment, etc.). The sustainability of EDCs removal can be assured through the use of combined wastewater treatment processes (combination of AOPs with adsorption/biological techniques).
Declarations
Author contribution statement
All authors listed have significantly contributed to the development and the writing of this article.
Funding statement
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Data availability statement
Data included in article/supplementary material/referenced in article.
Declaration of interests statement
The authors declare no conflict of interest.
Additional information
No additional information is available for this paper.
Appendix A. Supplementary data
The following is the supplementary data related to this article:
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