Not applicable. All data are included in the paper.
This work comprehensively reviewed the toxicity and risks of various surfactants and their degraded products in the environmental matrices, various analytical procedures, and remediation methods for these surfactants. The findings revealed that the elevated concentration of surfactants and their degraded products disrupt microbial dynamics and their important biogeochemical processes, hinder plant-surviving processes and their ecological niche, and retard the human organic and systemic functionalities. The enormous adverse effects of surfactants on health and the environment necessitate the need to develop, select, and advance the various analytical and assessment techniques to achieve effective identification and quantification of several surfactants in different environmental matrices. Considering the presence of surfactants in trace concentration and environmental matrices, excellent analysis can only be achieved with appropriate extraction, purification, and preconcentration. Despite these pre-treatment procedures, the chromatographic technique is the preferred analytical technique considering its advancement and shortcomings of other techniques. In the literature, the choice or selection of remediation techniques for surfactants depends largely on eco-friendliness, cost-implications, energy requirements, regeneration potential, and generated sludge composition and volume. Hence, the applications of foam fractionation, electrochemical advanced oxidation processes, thermophilic aerobic membranes reactors, and advanced adsorbents are impressive in the clean-up of the surfactants in the environment. This article presents a compendium of knowledge on environmental toxicity and risks, analytical techniques, and remediation methods of surfactants as a guide for policymakers and researchers.
Keywords:
Ionic surfactants, Non-ionic surfactants, Ecotoxicity, Environmental matrix, Remediation
Previous studies have shown that a high concentration of surfactants, and their degraded products are deposited into various environmental compartments due to their extensive applications (Olkowska et al. 2014). The surfactants can enter the environment from the effluents generated in agrochemical products, industrial products, and domestic activities and consequently cause environmental pollution (Li et al. 2018b). For instance, biocides, herbicides, and pesticides are among the agrochemicals, while personal care products, emulsifiers, wetting agents, detergents, and coating or softening of fabric, paper, and carpets are notable industrial products that continuously contribute to the surfactants-aided environmental pollution. Also, laundry, disinfection, and fumigation are major domestic activities that release surfactants to the environment.
The fate, distribution, and persistence of surfactants in the environment are mainly influenced by sorption and bio-/photodegradation (Lara-Martín et al. 2012). These processes depend primarily on various environmental factors such as pH, temperature, and salinity.
The municipal wastewater treatment plants usually receive a high concentration of surfactants but release a low concentration of the surfactants and their degraded products upon secondary treatment. The proportion of the post-treatment surfactants and by-products released depends more on the efficiency of MWWTPs (Lara-Martín et al. 2012; Camacho-Muñoz et al. 2014; Olkowska et al. 2014).
The transformed products of sulfophenyl carboxylic acids, nonylphenol ethoxylates, octylphenol ethoxylates, and nonylphenol carboxylic acids were recently reported (Li et al. 2018b). Notably, nonyl- or octylphenol ethoxylates (NPEOs) are more toxic than their precursors, i.e. alkylphenol (APs) (Lara-Martín et al. 2012; Jardak et al. 2016). Several studies have shown severe ecological and health impacts of toxic surfactants on humans, other vertebrates, soil fauna, microorganisms, crustacean, and terrestrial plants (Domene et al. 2009; Gheorghe et al. 2013). The critical criteria to assess the environmental risks associated with the commercially available surfactants are photo- or biodegradability, toxicity behaviour, and sorption efficiency (Gheorghe et al. 2013). For instance, the surfactants’ foam formation and sedimentation deteriorate water quality by reducing air or water oxygen transfer and self-cleaning river capacity, to different extents for different surfactant classes (Gheorghe et al. 2013). Also, surfactants enhance the solubility of persistent organic pollutants (POPs) in the aqueous phase, and the resultant products of aerosol and surfactants significantly impact the atmosphere and climate (Olkowska et al. 2014). The changes in the physiological and biochemical activities of aquatic organisms by LAS delay their metabolism and growth, damage cell membrane, and cause breakage of chlorophyll protein complex (Larson et al. 1993; Koparal et al. 2006)
According to the Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH) Regulation, the ecotoxicity of surfactants can be evaluated with micro-biotests (QSAR, ECOSAR) (Lewis and Lewis 2018). The procedures employ the tests such as Daphtoxkit F, Daphnia IQ Test, Rotokit F/M, Ceriodaphtoxit K, Ostracod toxkit, Algal toxkit F, and Microtoxkit. The past studies showed that the surfactants toxicity could be influenced by physicochemical properties of water (i.e. pH, DO, suspended matter), surfactants (i.e. type and concentration and the absorption capacity of surfactants), and biotic factors (the age and type of species, sensitivity between species and their acclimatization) (Garcia et al. 2008; Yamane et al. 2008; Ivanković and Hrenović 2010)
The median effective concentration (EC50) and median growth inhibition concentration (IC50) respectively determine the risk and toxicity of surfactants on animals, plants, and microorganisms. For instance, Ge et al. (2010) discovered that the 96 h EC50 of acetyl trimethyl ammonium chloride on the green microalgae Chlorella vulgaris is 145 ± 13.35 μg/L, while EC50 of benzalkonium to invertebrates is 5.90 μg/L (Van De Voorde et al. 2012). Also, the IC50 of benzyldimethyldodecylammonium chloride to bacteria is 170.0 μg/L (Di Nica et al. 2017).
Surfactants can retard microbial growth and increase microbial mutation and mortality (Ivanković and Hrenović 2010; Gheorghe et al. 2013). For instance, nonylphenol ethoxylates (NPEOs) can uncouple energy production which can consequently disrupt microbial growth and nitrification processes (Argese et al. 1994). Also, anionic surfactants disrupt internal structures and microbial functions such as environmental resistance, growth, competitive stress, and reproduction (Hampel et al. 2012). The absorption of surfactants by a microorganism can depolarize microbial cell membrane and decrease the absorption of nutrients, acceptance of oxygen, and release of the toxic metabolites (Domene et al. 2009).
Some surfactants have severe health implications on humans through ingestion or drinking of contaminated food items. For example, surfactants react with existing protein in the liver and serum, thus causing long-term metabolic effects and disruption of the human endocrine (Borghi et al. 2011; Gheorghe et al. 2013). Likewise, some surfactants have been reported to cause human skin burning or irritation and eye and respiratory problems (Ying 2006). Alkylphenol ethoxylates and carboxylates retard subsurface penetration of pharmaceutical compounds. Nonylphenol ethoxylates have estrogenic effects on amphibians, mammals, and Pisces (De La Fuente et al. 2010; Borghi et al. 2011). Some surfactants such as LAS damage the root cell membrane and change the membrane structure. Consequently, it impaired the transpiration and translocation of essential nutrients and water (Jardak et al. 2016) (Table ).
Owing to the risks posed by surfactants and their degraded products to the environment, it is pertinent to determine their concentrations in environmental matrices. However, laboratory analysis of surfactants could be a difficult task to accomplish. The reason is that surfactants are usually found in mixtures comprising different components such as isomers, homologues, and other impurities (Lara-Martín et al. 2012). In addition to this, surfactants are often present in trace amounts typically below the analytical instruments’ detectable limits. The complexity and variety of matrices in which surfactants naturally occur additionally complicate and hinder their analysis. To this end, a sophisticated state-of-the-art technique is required to carry out surfactant analysis in aqueous streams. Table summarizes the analytical techniques often employed in the open literature.
One of the strategies to overcome the above-stated analytical challenges for practical surfactant analysis is to perform extraction before analysis. Other vital approaches are sample purification and preconcentration. Extensive independent research and reviews have been conducted on the extraction, isolation, and preconcentration of surfactants (Kurrey et al. 2019; Yamini et al. 2019; Nasiri et al. 2020). Based on the literature survey, solid-phase extraction (SPE) is described as the most versatile pre-treatment method due to its numerous advantages (Gao et al. 2014, 2020).
Surfactants are usually identified using several techniques such as spectrophotometry, titrimetry, and chromatography (Cierniak et al. 2020). If the surfactant is present as a single component, the spectrophotometric technique could be sufficient. However, when the surfactant is a component of an environmental matrix, a precipitating (such as titrimetry) or separating (chromatography) technique would be required. Because of the capability to specifically identify surfactant types, chromatographic techniques (mainly HPLC-MS and GC/MS) are the most common methods usually adopted to analyse various surfactants (anionic, cationic, non-ionic, amphiprotic, and semi-polar surfactant groups). With these techniques, each homologue, ethoxyemers, or isomers are identified from surfactant blends in numerous environmental matrices. The following sub-sections give more discussions on the various analytical techniques employed to identify surfactants in an environmental sample.
Spectrophotometric analysis of surfactant ensures a fast and easy method of surfactant analysis. The most common spectroscopic technique is the UV-Vis. UV-Vis spectrophotometer uses an electronic transmission band in a UV-visible region. This technique focuses on developing surfactants with targeted ion-pair reagents and their extraction into acceptable hydrophobic solvents (Kurrey et al. 2019). For example, this technique was applied to evaluate linear alkylbenzene sulfonate concentration based on ionic pair surfactant methylene blue formation (Hu et al. 2019). In the analysis of surfactants using UV-Vis, different compounds show different bands during the spectrometry experiment. According to Silva et al. (da Silva et al. 2015), the wavelength range of nonylphenol ethoxylate ranges from 260 to 290 nm (Fig. ) during the decontamination of NP4EO in wastewater. However, this technique generates a lot of toxic wastes. Another major drawback is that chromophores must be found in the samples (Robards et al. 1999; Morales-Muñoz et al. 2004). Also, this technique is not suitable for determining the surfactant group present as a component of a large matrix.
Open in a separate windowThe potentiometric titration technique can analyse the total ionic and non-ionic surfactant components. This technique works based on the change in the electromotive force cell after adding different titrants volume. Herein, the detection is ion-selective which is observed at the end-point of titration (Kurrey et al. 2019). Despite this advantage, this technique is not suitable for individual component analysis in a mixture of surfactants. Besides, the difficulty associated with signal stability and data reproducibility limits the use of this technique.
Ion-selective potentiometric has been used for the analysis of cationic and non-ionic surfactants. The analysis works based on ionophores using ion-selective electrodes (Sak-Bosnar et al. 2015). Nevertheless, according to Masadome and Imato, this technique has also been used to analyse sodium lauryl ether sulphate (SLES), an Anionic Surfactant (Masadome et al. 1999). Therefore, the potentiometric analysis base on ion-selective electrodes applies to large varieties of environmental matrices. This technique offers several advantages: reliability, reduced monitoring time, not destructive to analytes, higher sensitivity, and less expensive compared to spectrometric and chromatographic analytical techniques. Recent advances in the ion-selective potentiometric analysis are based on modification with carbon nanotubes and nanomaterials. Special review articles have been devoted to these developments in the last 2 decades (Dimeski et al. 2010; Jozanović et al. 2019; Menger et al. 2021; Ostos et al. 2021).
Attenuated total reflectance Fourier transform infrared spectrometry (ATR-FTIR) is an essential technique in analysing complex multicomponent mixtures (Kargosha et al. 2008; Mansourian et al. 2019). This technique works on the principle of spectrum absorbance in an infrared region. This technique can be applied to determine the different surfactants in a mixture simultaneously (Carolei and Gutz 2005). Besides, this technique is reliable and stable and has a short time on-stream for the analysis. One major drawback is the lack of suitability to analyse a trace compound (Carolei and Gutz 2005).
Moreover, the instrumental cost is another pitfall. Further, water used as a solvent in this technique has a sizeable interference in the absorption range. A recent development in this analytical technique is the use of paper substrate during the analysis. Kurrey et al. (2020) proposed a paper-based KBr to replace the traditional KBr pellet as a sample holder.
Titrimetry is commonly employed in the analysis of some non-ionic and cationic surfactants. This approach utilizes the principle of off-line quantification of targeted mixtures with the type of surfactant (Beneito-Cambra et al. 2013). Details working principles are outlined in the review of Kurrey et al. (2019). One advantage of this analysis is that sample pre-treatment is not required. On the contrary, this technique is limited by the narrow range of sample analysis and complex operation mode (Beneito-Cambra et al. 2013).
In coping with the challenges of traditional analytical techniques, gas chromatography has important advantages of separating complex matrices and analysing low molecular mass metabolites. On the other hand, the technique requires the compounds’ derivatization and their metabolites (Robards et al. 1999). Moreover, the detection limit is influenced by the choice of detector employed (Patil and Jain 2021). In recent times, common detectors used to analyse target compounds include chemical ionization, flame ionization detector, electron impact, tandem mass spectrometry, and single quadrupole (Petrović and Barceló 2000; Clara et al. 2007). Gas chromatography-mass spectrometry has been successfully used to separate and analyse linear alkylbenzene sulfonate in different samples. GC analysis is a suitable analytical technique for different types of surfactants due to implementing the hybrid of a capillary column and flame ionization detector. However, the use of GC for the analysis of cationic surfactants has not been fully outlined in the open literature.
High-performance liquid chromatography (HPLC) is currently the most utilized technique for analysing surfactants in an environmental matrix. For the most part, it is used for the analysis of low and high molecular weight analytes. There is no need for derivatization in this analysis. Furthermore, this technique is helpful for non-volatile analytes and different surfactants group and biodegraded products. Interestingly, the use of HPLC overcomes much of the challenges posed by the earlier discussed techniques. However, the major setback in the application of HPLC revolves around the need to isolate and extract analytes before the analysis. Principally, the HPLC utilizes different solid-liquid partitioning systems to identify the target analytes. Like GC-MS, HPLC has a low limit of detection (LOD); it could detect as low as 0.0002 mg/L (Liu et al. 2006). Moreover, this technique has been used to simultaneously determine and quantify different surfactants classes with high accuracy (Im et al. 2008). Most HPLC detectors (such as MS, MS-MS, UV, conductivity, evaporative light scattering, refractive index, FLD, and fluorescence) have been applied to identify different surfactants.
Recent advances in the analysis of surfactants include the use of supercritical fluid chromatography (SFC) to separate and identify surfactants (Ma et al. 2019). A fluid at a critical point (i.e. temperature and pressure) where there is no distinct liquid or gas is said to be a supercritical fluid (SF). SFs have similar density with liquid and similar viscosity with gas phase, thereby combining the good advantages of both fluid phases. As a result, SFC shares the strong points of both GC and HPLC. Although HPLC has better selectivity, SFC is superior in efficiency and sensitivity. Also, the use of SFC can circumvent the inherent toxicity and flammability associated with liquid chromatography. Moreover, SFC is less expensive and more environmentally friendly and operates at a higher flow rate than liquid chromatography. CO2 is often used as the mobile phase because of its low cost, UV inertness, non-toxicity, good solvent properties, and low critical temperature (31.1°C) and pressure (72 bar) that are easy to attain. The selection of the stationary phase, on the other hand, is determined using the solvato-chromic model (Lv et al. 2014).
There is a wide range of detectors that can be used with SFC. Standard detectors commonly used include flame ionization detector, evaporative light scattering detection, Fourier transforms infrared spectroscopy, corona-charged aerosol detection, and ultraviolet-visible detection (Shah et al. 2015; Tang et al. 2020). Tang et al. (Tang et al. 2020) used quadrupole time-of-flight mass spectrometry coupled with SFC to identify different pentaerythritol fatty acid esters. The application of supercritical fluid chromatography marked a notable advance in the study of pentaerythritol fatty acid esters. On the opposite side, SFC relies on a pure chemical of high purity, which is expensive to afford for most small laboratories.
Some biological techniques are employed for the analysis of surfactants considering their health risks and toxicological impacts. For instance, ethoxylated alkylphenol, alkylphenol, and their biodegraded products cause endocrine disruption and teratogenic and estrogenic effects (Priac et al. 2017; Acir and Guenther 2018). The conventional chemical and electrochemical analytical techniques are time-consuming and required technical know-how and sophisticated instruments. However, analysis of food samples, animals, and many other environmental samples required techniques that are simple, quick, and reliable. Immunochemistry, molecular, and bio-sensors are among the biological techniques commonly used for the analysis of surfactants. The enzyme-linked immunosorbent assay (ELISA) is a modern immunochemistry technique that is highly sensitive and cost-effective, requires short-time analysis and fewer technical skills, and provides reliable analytical results. For example, the average inhibitory concentration (IC50) of octylphenol was quantified with ELISA by incorporating a linear carboxylated analogue of 4-nonylphenol (hapten) into carrier protein (as either monoclonal or polyclonal antibody) (Li et al. 2014). The IC50 value of the synthesized hapten with polyclonal and monoclonal was 51ng/mL and 76 ng/mL. Another less sensitive biological analytical technique such as capillary electrophoresis has been previously reported (Acir and Guenther 2018). Moreover, the polymerase or gyrase chain reaction technique is the most advanced biological technique usually deployed for the detection of surfactants particularly alkylphenol, ethoxylated alkylphenol in animals. PCR is a thermocycling process used for the amplification of interested DNA sequences. The polymerase chain reaction technique is a molecular technique that is very rapid, highly sensitive, reliable, and accurate in detecting the gene sequences of interest. This method relies solely on the effects of surfactants (mostly endocrine disruptors) on the gene expression of the important neuroendocrine system. Due to the effect of the nonylphenol on the aromatase transcript of Atlantic salmon, quantitative PCR has successfully been used to quantify the gene expression of cytochrome P450N (Cyp 19). Kortner et al. (2009) carefully discussed how immunohistology and immunoblotting and titrated water-release assays were used to evaluate aromatase protein immunoreactivity and aromatase activity in Atlantic salmon’s brain due to the presence of nonylphenol (Table ).
The presence of surfactants in aquatic and terrestrial environments poses an adverse effect on microorganisms, plants, animals, and humans. The immense usage of surfactants, their health hazards, and strict regulatory policies on their allowable limit call for their control in the environment. This allowable limit has been a subject of debate among several researchers. Therefore, several remediation approaches have been recommended for the clean-up of surfactants in the environment. In past decades, bioremediation is often employed in the removal of surfactants from the environmental matrix. Recently, the available remediation methods encompass the physical, chemical, biological, and membrane techniques (Siyal et al. 2020). The biological and physical remediation approaches, including gravity settling, cannot wholly remove both anionic surfactants and organic matters when the pollutant concentration is high (Sriwiriyarat et al. 2017). The appropriate remediation method is influenced by many factors such as treatment efficiency, operation time, effluent and influent characteristics, and power usage. A detailed overview of the remediation methods is provided in the remaining part of this section.
Adsorption is the most common physical method due to its effectiveness in surfactant removal. Various materials are currently utilized as adsorbents, such as activated carbon, nanomaterials, zeolites, clay, and resin. However, the use of these adsorbents is limited due to their costs. By far, activated carbon is the best material used as an adsorbent (Valizadeh et al. 2016; Siyal et al. 2020). On the other hand, its development is often an arduous task. In recent times, a lot of attention is being focused on developing environmentally safe, cheap, and highly efficient adsorbents as alternatives to activated carbon. Siyal et al. (Siyal et al. 2020) summarized recent advances in adsorbent development. One emerging approach is developing green adsorbents from waste materials to mitigate the challenges in the application of adsorption for surfactant removal from wastewater. Hossain et al. (Hossain et al. 2020) outlined several diverse materials used as waste adsorbents. It was hypothesized that the application of this type of materials enhances waste management and contributes to economic growth. These materials are either used as an as-received unmodified or modified adsorbent or combined with other techniques for surfactant remediation (Gupta et al. 2009). Despite the potential benefits involved in the use of green adsorbents, more research should be directed on the socio-economic and techno-economic analyses of the concept (Gupta et al. 2009).
Another emerging methodology for surfactant removal is the use of nanomaterials (Lu and Astruc 2020; Scaria et al. 2020). However, this approach’s major impediments are sustaining the synergy between the nanomaterial’s physicochemical properties and the surfactants’ composition. These two phenomena influence maximal removal efficiency. Moreover, the mechanism involved in this approach plays a vital role in the efficiency of this method. The relationship between different surfactants composition and nanomaterials’ physicochemical properties on the surfactant removal efficiency has been extensively reviewed. For instance, Gao et al. (Gao et al. 2020) used various carbon nanotubes to compare the remediation of three cationic surfactants, namely, hexadecyltrimethylammonium bromide (CTAB), tetradecyl dimethyl benzyl ammonium chloride (TDBAC), and dodecyl dimethyl benzyl ammonium chloride (DDBAC). The authors used pure functionalized multiwalled carbon nanotubes (MWCNTs) and OH-/COOH- modified CNTs. It was shown that porosity and large surface area increase the efficiency of any CNTs. Also, there is an optimum amount of CNTs required to achieve maximum efficiency. The outer diameter and functional groups of carbon nanotubes determine its removal performance. For instance, smaller outer diameter CNTs with no hydrophilic groups perform more than large CNTs comprising hydrophilic functions in cationic removal (Gao et al. 2020). The multiwalled carbon nanotubes have been found to efficiently remove both non-ionic and anionic surfactants but hardly removed cationic surfactants (Bai et al. 2010; Yang et al. 2010; Gao et al. 2020). However, the cationic surfactants’ removal capacity of carbon nanomaterials largely depends on nanomaterials’ physicochemical properties and the cationic surfactant’s composition (Gao et al. 2020).
Foam fractionation is a promising method to remove surfactants from wastewater. In practice, this method produces foam by injecting air into a fractionation column consisting of water contaminated with surfactants. Thus, surfactants are separated from the polluted water based on their mass concentration differences. Consequently, this forms a surfactant-rich foam layer at the top of the column and the aqueous-rich layer at the column’s bottom (Figs. and ). Advances in the remediation of surfactants from wastewater via this process are based on nanoparticle use via stabilization of foam. For example, Hu et al. (2019) used silicon nanoparticles (SNP) as an efficient foam stabilizer to improve LAS adsorption and foam stability. Formability and foam stability are two crucial factors that influence foam property. Activated SNP adversely affected formability due to the rise in viscosity. A high viscosity will hinder air entrainment and reduce bubble formation (Hu et al. 2019). Consequently, this will reduce surfactant removal efficiency.
Open in a separate windowOpen in a separate windowOne promising technology for recovering and removing surfactants from wastewater is low-cost and straightforward foam fractionation (Burghoff 2012). The single or multi-stage foam fractionation column can operate either batch-wise or continuous manner (Srinet et al. 2017). Generally, air flow rate, attainment of critical micelle concentration, the volume of foam, sonication time, and power significantly influence foam fractionation (Srinet et al. 2017; Fei et al. 2018). Extensive studies have been reported on the effects of air-flow rate, feed flow rate, time, foam height, and liquid height to remove anionic surfactants (e.g. sodium dodecyl sulphate) (Srinet et al. 2017). The high specific surface area and low interstitial liquid make foam a suitable medium for the adsorption of surfactants (Srinet et al. 2017). Despite the overwhelming works on foam fractionation, efforts towards its commercialization are yet to be concretized. Therefore, more findings are necessary to upscale and commercialize the foam fractionation.
The chemical remediation method provides an alternative to surfactant removal from waste systems. In practice, the application of chemical technologies in surfactant remediation leads to the generation of valuable products such as carbon dioxide, nitrogen, and water. There are different types of chemical treatment and their variants.
Coagulation is a very effective method. Naumczyk et al. (2017) clean-up highly polluted cosmetic wastewater using this technique based on iron and aluminium compounds. Aluminium-based coagulants perform best due to larger volumes and more extensive diversity obtained from sludge-containing aluminium. Coagulation is also sometimes combined with other methods such as air flocculation and Fenton processes. Coagulation-flocculation is highly effective for the removal of pollutants in high concentrations. On the other hand, the Fenton process gave the lowest removal efficiency compared with other mentioned processes, according to the study. The choice of coagulants also affects the efficiency of the coagulation process. In most instances, the coagulants create another waste if not correctly discharged (Li et al. 2018a). Thus, more efforts are required to select coagulants that can selectively remove waste surfactant from water and can be recovered without polluting the influent.
The treatment of surfactants from water by advanced oxidation processes (AOPs) has been proven as a promising remediation method for recalcitrant surfactants (Khan et al. 2018; Brandão et al. 2019; Zhou et al. 2019). Different techniques of AOPs currently employed for remediating surfactants are based on electrochemical, electro-Fenton, electro-peroxide, and ultraviolet light irradiation. These processes present numerous advantages over the traditional chemical processes, such as freedom from the threat of carcinogenic chlorinated products and the release of pathogenic microorganisms (Esteban García et al. 2021).
Electrochemical advanced oxidation processes (EAOPs) are alternative remediation technologies for anionic surfactants. The process involves the application of electrochemistry techniques to degrade recalcitrant surfactants from wastewater. EAOPs are considered safe and ecologically benign. Its safety is due to the absence of adding chemicals to the process. This process uses the transfer of electrons between the electrodes by producing hydroxyl radicals to degrade polluting surfactants. Recently, Ganiyu et al. (2018a) compared three electrochemical processes (EO, EF, and EO-H2O2) to remove anionic surfactants. The processes completely removed anionic surfactants present in the wastewater. In all three processes, an increase in applied current increases the COD (representing surfactant) removal efficiencies. It was reported that a higher electric current enhances speedy and large production of BDD (_OH). This in turn can readily oxidize the surfactant molecules in the system (Ganiyu et al. 2018b; Martínez-Huitle and Panizza 2018). However, an increase in applied current density leads to unfavourable high energy consumptions. EF process tends to involve the lowest energy usage and current efficacy when the energy consumption of the three processes was compared. This is because, in the EF process, the two radicals produced from the process dissolve the organic matter.
Surfactants are also being removed using the anaerobic/oxic process (Gao et al. 2017). In principle, the process comprises six compartments divided into two anoxic conditions and four oxic conditions. The anoxic treatment compartments play a critical role in surfactant removal. However, this process’s removal efficiency is mainly influenced by seasonal changes in the region or country under consideration. Furthermore, an electron beam based on irradiation has also been employed in the removal of surfactants from wastewater treatment plants (Gupta et al. 2009; Ahmed et al. 2017; Lu and Astruc 2020). In this technique, the electron beam is irradiated in an aqueous solution at different doses to generate several species. Consequently, these generated species are used to degrade the aqueous pollutants. However, an explanation of the nature of the intermediates and products in this technique is still scanty in literature.
Sonoreactor for remediation of surfactants from wastewater presents numerous advantages: ease mode of operation, more benign to the environment, minimum chemical usage, free from sludge generation, and by-products. Also, the low cost of operation and maintenance make it an efficient advanced oxidation treatment process. In principle, this reactor operates on the principle of free radical generation (Mohajerani et al. 2010; Heidarinejad et al. 2018). Recently, Hadi et al. (Dehghani et al. 2019) applied a sonoreactor to degrade LAS from an aqueous solution. They found that LAS degradation increases with time. Contrastingly, an increase in initial LAS concentration decreases the LAS removal rate. Increasing the acoustic power, on the other hand, leads to a higher degradation of LAS. This is because of the possible reaction in the cavitation of the sonoreactor. However, high acoustic power implied higher energy. Thus, a balance should be maintained between efficiency and energy cost.
The biological treatment method shares the advantages of lower operational costs and the use of green methods. This technique involves breaking down large molecular weight compounds into lower ones using microorganisms such as algae, fungi, and bacteria (Garcia-Rodríguez et al. 2014). Further details of the types, processes, and mechanisms can be found in the review of Ahmed et al. (Ahmed et al. 2017). The biological treatment techniques have some drawbacks: long operation time, inability towards toxic elements, and high surfactant concentrations. Consequently, these result in biomass death in the system (Collivignarelli et al. 2017; Palmer and Hatley 2018).
Advanced technologies are being developed with a hybrid of other processes to control some of the disadvantages of conventional biological treatment technologies. For instance, Collivignarelli et al. (2019) studied the removal of surfactants (ionic and non-ionic) with the aid of nanofiltration, thermophilic aerobic membranes reactors (TAMR), and sorption on carbons. The findings revealed that TAMR could withstand high-stress conditions and inhibit the high concentration of surfactants. Moreover, combining these three processes results in higher surfactant removal. However, cost-wise, TAMR +NF represents the optimum process (Collivignarelli et al. 2019). Additionally, the thermophilic aerobic reactor’s efficiency can be enhanced through the attachment of ultrafiltration as this will make the reactor hold the biomass and treat high concentrations of the target surfactants (Collivignarelli et al. 2015). A summary of general methods for the remediation of surfactants and their key merits and demerits is shown in Fig. , Table .
The analytical techniques used in surfactant characterization are rapidly growing. Among these techniques, supercritical fluid chromatography is a cost-effective, time-saving, and highly efficient technique for analysing a wide range of surfactants. Despite these overwhelming benefits, only a few studies have been reported for the use of this technique in assessing surfactants. Thus, SFC should be promoted in analysing different types of surfactants. Also, studies based on different detectors are necessary to cover all the types of environments and compounds. The use of SFC with HPLC coupled with MS detector could help easy identification and quantification of various surfactants.
Adsorbents derived from waste materials provide cheap and circular alternative treatments approaches for the recalcitrant surfactants in wastewater. Research attention should be devoted to the maximum recovery, regeneration, and safety of these materials. Future studies should integrate techno-economic evaluation of these adsorbents for the potential commercialization.
Combining different chemical treatment technologies can efficiently remove various surfactants or enhance the efficiency of the current treatment practices. Towards this, coagulation may be combined with other techniques such as ozonation, UV irradiation, Fenton process, H2O2, and nanoparticles to contribute to the current practice of surfactants treatments.
Additionally, little information is available on the mechanism and kinetics of the electron beam oxidation process. Future research should investigate how the target surfactant is being degraded or the rate at which the process degrades surfactants. The policymakers and environmental regulatory agencies are strongly encouraged to draft guidelines and standards for the available classes of surfactants and their degraded products.
This comprehensive review has revealed the enormous ecotoxicity and human health implications of surfactants in the environment. The non-degradability, persistence, and toxicity of some surfactants and their transformed products have extreme environmental consequences. So, the balance and sustainability of natural ecosystems could be managed through assessment, practical analysis, and treatment of surfactants. Hence, several analytical, assessments, and remediation technologies are been employed to effectively identify, quantify, and clean up surfactants from environmental matrices. Based on the available literature, this work showed that chromatographic techniques particularly supercritical and quadrupole time of flight MS (Q-ToF-MS) fluid chromatography offer a better analysis of surfactants up to trace level concentrations in environmental matrices. Considering the strengths and challenges of various available remediation methods for the surfactants, foam fractionation, thermal aerobic membrane reactors, advanced adsorbent, and electrochemical advanced aerobic processes are effective methods. Future research should focus on the development of cheap adsorbents from wastes. However, extensive investigation on their recovery, regeneration, re-use, and techno-economic values should be considered. Also, it is pertinent to integrate or couple the current advanced remediation technologies to the existing wastewater treatment plants (WWTPs) for efficient removal of surfactants from the influents. Electron beam oxidation generates powerful radicals that can completely mineralize surfactants. However, its mechanisms, kinetics, and costs have not been adequately researched and documented. Lastly, this review is an attempt to foster proper understanding of practicable analysis and assessment as well as feasible remediation approaches to aid researchers, policymakers, and regulatory bodies in their bids to minimize environmental exposure to toxic surfactants.
Suaibu O. Badmus conceptualized the idea, did literature survey, wrote the original draft, and participated in the revision.
Hussein K. Amusa was responsible for literature survey, writing original draft, and revision.
Tajudeen A. Oyehan was responsible for supervision, visualization, manuscript review, editing, and revision.
Tawfik A Saleh was responsible for supervision, funding, coordination, and revision.
Authors would like to acknowledge the support and fund provided by King Fahd University of Petroleum & Minerals (KFUPM) through Project No. {"type":"entrez-nucleotide","attrs":{"text":"DF191026","term_id":"406632666"}}DF191026 under the Deanship of Research.
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