Abstract
To date, in South Africa alone, there are an estimated 4.5 million people receiving antiretroviral (ARV) therapy. This places South Africa as the country with the largest ARV therapy programme in the world. As a result, there are an increasing number of reports on the occurrence of ARVs in South African waters. Achieving efficient and bio-friendly methods for the removal of these pollutants is considered as a concern for environmental researchers. This study aims at studying the efficiency of a moving bed biofilm reactor (MBBR) system for removing ARVs from wastewater. A continuous-flow laboratory scale system was designed, built, installed, and operated at a carrier filling rate of 30%, an organic loading rate of 0.6 kg COD/m3.d−1 OLR, a hydraulic retention time of 18h, and a 27.8 mL/min flow rate. The systems were monitored over time for the elimination of conventional wastewater parameters i.e., Biological Oxygen Demand, Chemical Oxygen Demand, and nutrients. The results showed that the MBBR system as a bio-friendly method has high efficiency in removing Nevirapine, Tenofovir, Efavirenz, Ritonavir and Emtricitabine from the synthetic influent sample with an average removal of 62%, 74%, 94%, 94% and 95%, respectively, after 10 days of operation.
HIGHLIGHTS
A moving bed biofilm reactor (MBBR) system for removing ARVs from wastewater.
MBBR system as a bio-friendly method has high efficiency in removing Nevirapine, Tenofovir, Efavirenz, Ritonavir and Emtricitabine from wastewater.
A continuous-flow laboratory scale system was designed, built, and operated under different organic loading rates, hydraulic retention times, and filling rates to optimize its performance.
Graphical Abstract
INTRODUCTION
Micropollutants, also known as emerging contaminants (primarily organic), are usually of anthropogenic origin and are commonly present in waters at trace concentrations ranging from ng/L to several μg/L (Kasprzyk-Hordern et al. 2007; Baker & Kasprzyk-Hordern 2013). The compounds in question are derived from three broad categories: Pharmaceuticals, Personal Care Products, and Endocrine Disrupting Compounds (Ferrari et al. 2003; Diamanti-Kandarakis et al. 2009; Al Aukidy et al. 2012; Verlicchi & Zambello 2015). These chemicals reach natural waters mainly through municipal (domestic) and industrial wastewater streams (Edokpayi et al. 2017).
The most thought-provoking class of these emerging contaminants is pharmaceuticals. Given that many pharmaceutical drugs are not completely degraded in the human body and are excreted after slight transformation or in an unchanged form (Debska et al. 2004), excreted drugs are transported into wastewater treatment plants (WWTPs) through sewage pipes. It was initially thought that most pharmaceutical products underwent complete mineralization, i.e., conversion to CO2 and H2O, during the biological wastewater treatment process. However, it has been scientifically demonstrated that most WWTPs cannot remove pharmaceutical drugs during sewage treatment (Kolpin et al. 2004; Zhou et al. 2010; Cimetiere et al. 2013; Capdeville & Budzinski 2011; Gómez et al. 2012; Blair et al. 2016), mainly because wastewater treatment plants based on conventional activated sludge (CAS) were initially designed for removing nitrogen, phosphate, and organic matter, most of which consist of naturally occurring biodegradable organic pollutants (Grady et al. 1998). As a result, several pharmaceuticals have been detected in WWTP effluents and surface waters (Snyder 2008).
To date, in South Africa alone, there are an estimated 4.5 million people receiving ARV therapy compared to about 616,000 in 2009 (WHO 2018). This places South Africa as the country with the world's most extensive ARV therapy program. As a result, there is an increasing number of reports on the occurrence of ARVs in South African waters (Schoeman et al. 2015; Swanepoel et al. 2015; Wood et al. 2015, 2016; Abafe et al. 2018). As with most (human) pharmaceuticals, ARVs are partly metabolized in treated individuals, while large fractions are excreted unchanged via urine or feces (Daughton & Ternes 1999; Galasso et al. 2002) and thus find their way into WWTPs. After reporting several ARV drugs in different water matrices, including wastewater effluents, surface water, and drinking water (Schoeman et al. 2015; Wood et al. 2015, 2016; Abafe et al. 2018), Swanepoel et al. (2015) have suggested that low concentrations of ARV drugs may be consumed via drinking water, maintaining low concentrations of ARVs in consumers that are infected with human immunodeficiency virus (HIV) but are not receiving ARV therapy, suggesting the possibility of resistance development by HIV. Furthermore, studies have shown that antiviral drugs are among the predicted most hazardous therapeutic classes concerning their toxicity toward algae, daphnids, and fish (Sanderson et al. 2004; Nannou et al. 2020).
Due to the limited efficiency of conventional biological treatment, it would be necessary to explore innovative solutions to improve the removal of trace contaminants and residues in wastewater. Activated carbon has been demonstrated to have a high capacity to adsorb pharmaceuticals when used in post-treatment/polishing steps for CAS treatment (Simazaki et al. 2008; Rivera-Utrilla et al. 2009). Ozonation is currently the typical process to remove organic micropollutants from wastewater (Hollender et al. 2009). However, compared with biological treatment processes, both activated carbon and ozone increase energy consumption and maintenance cost related to wastewater treatment. Falås et al. (2012) found that there were distinct differences in removal efficiencies of pharmaceuticals by activated sludge and suspended biofilm carriers. Higher degradation rates per unit of biomass were achieved with the biofilm reactor compared to activated sludge. In addition, a number of investigations have shown that the biofilm reactors such as membrane biofilm reactors, fixed film bed bioreactors, and moving bed biofilm reactors (MBBRs) can accomplish more if optimized for enhanced removal of pharmaceutical contaminants (Dolar et al. 2012; Sengupta et al. 2021). Among these biofilm bioreactors, MBBR is the most preferred method because of its low operational cost and its simplicity of operation. Currently, MBBR systems have been used both in pilot plant studies and in full-scale plants for the treatment of wastewater (Barwal & Chaudhary 2014). The basic principle of the MBBR is the use of plastic carriers on which microorganisms can grow in biofilms, where different bacterial groups compete and co-exist in different niches. With microorganisms growing in biofilms rather than in suspended flocs, it is possible to fit more active biomass into the treatment plant, hence creating very compact treatment solutions.
Moreover, the primary strength of the moving bed biofilm techniques is that they combine the advantages of different biological treatment technologies (i.e., activated sludge and biofilm systems). Demonstrated benefits of employing moving bed biofilm reactors (MBBRs) include operation at higher biomass concentration, less sensitivity to toxic compounds, lack of long sludge settling period (Loukidou & Zouboulis 2001), less prone to the process upsets from poorly settling biomass (Schmidt & Schaechter 2011), increased solid retention favoring slow-growing organisms such as nitrifiers (Guo et al. 2010; Shore et al. 2012), and cost-effectiveness (Fang 2011). The MBBR has relatively tiny footprint operational requirements, requiring one-fifth to one-third of that needed for traditional activated sludge treatment. The effect of temperature on biological nitrification is also less of a concern due to the stability of the biofilm (Salvetti et al. 2006). Moreover, when comparing activated sludge to MBBR on the removal of benzotriazoles and hydroxybenzothiazole, Mazioti et al. (2015) reported that the biomass developed in the MBBR system had a greater capacity for removal than the activated sludge, especially when operated under low organic loading. Accinelli et al. (2012) also examined the removal of bisphenol-A, atrazine, and oseltamivir with bioplastic carriers inoculated with specific bacterial strains. The results from the study showed that when wastewater samples were incubated with freely moving carriers, greater removal of the three chemicals was observed. From this perspective, these previous studies provide a potential solution to the removal of ARVs from wastewater. However, the research work on the removal of ARV pollutants such as Tenofovir, Emtricitabine, Nevirapine, Ritonavir, and Efavirenz from wastewater using MBBR has not been investigated.
Hence, the main objective of this study was to examine the ability of an MBBR to remove Tenofovir, Emtricitabine, Nevirapine, Ritonavir, and Efavirenz from synthetic municipal wastewater. A continuous-flow laboratory-scale system was designed, built, installed, and optimized. The optimum operating conditions for the MBBR were obtained at a carrier filling rate of 30% and an organic loading rate of 0.6 kg COD/m3·d−1 OLR, a hydraulic retention time of 18 h, and a 27.8 mL/min flow rate. The operational conditions were maintained and used to eliminate ARV pollutants of interest. The system was also monitored over time to eliminate conventional wastewater parameters, i.e., Biological Oxygen Demand (BOD), Chemical Oxygen Demand (BOD), and nutrients, and the results obtained were discussed.
EXPERIMENTAL METHODS
Chemicals and reagents
A set of five ARV compounds widely used in South Africa were selected, namely Tenofovir, Emtricitabine, Ritonavir, Efavirenz, and Nevirapine. Efavirenz, Nevirapine, and Ritonavir were purchased from Industrial Analytical (Pty) Ltd (Khayalame, South Africa). Tenofovir and Emtricitabine were purchased from Inqaba Biotechnical Industries (Pty) Ltd (Pretoria, South Africa). Ten milligrams of the analytical standards (Tenofovir, Emtricitabine, Nevirapine, Ritonavir, and Efiverenz) was dissolved in 10 ml Dimethyl Sulfoxide (DMSO), resulting in a 1,000 mg/L solution. This solution was diluted 10 times to produce a 100 mg/L working stock solution. Appropriate dilutions were then made using the synthetic wastewater to produce 0.5, 1, 3, 5, 8, 10, and 12 μg/L standards. The 0.5, 1, 3, 5, 8, 1,0, and 12 μg/L standards were then injected to produce a calibration graph for all standards.
Sample prepaaration
Concentrated stock solutions containing 1 mg/mL of each ARV compound were prepared in pure dimethyl sulfoxide (DMSO) and kept in a freezer. The stock solution was added to the artificial wastewater to attain an initial concentration of 10 μg/L of each ARV drug.
Samples were vacuum filtered through 0.45 μm (Pall, USA) filters on an Agilent Vacuum Manifold (Agilent, Santa Clara, California) prior to processing. Solid Phase Extraction (SPE) was carried out as described previously by Wood et al. (2017). The Smart Prep automated SPE system (Horizon, USA) was used to extract the samples. Oasis HLB (Waters, USA) SPE cartridges (6 cc, 500 mg) were conditioned with 4 mL of methanol (Labscan, Poland), followed by 6 mL of HPLC-Grade water (Burdick and Jackson, USA) and loaded with 500 mL of filtered sample. Flow rates were 10 mL/min for each step. The cartridges were then dried under nitrogen and eluted with 5 mL of methanol into 500 μL of dimethyl sulfoxide (Sigma Aldrich, Germany). Eluted samples were then evaporated under a stream of nitrogen at room temperature to 500 μL and stored at −20 °C until analysis.
MBBR system experimental procedure
After the optimization stage (see Supplementary information for MBBR system optimization), the MBBR system was acclimatized to the synthetic wastewater spiked with ARV compounds (10 μg/L of each ARV). All the experiments were conducted at pH 7 ± 0.4 by using a 50 mM phosphate buffer solution. The wastewater with ARV compounds was continuously introduced to the MBBR for a period of 30 days before the investigation of ARV compound removal was carried out. After the acclimatization period, grab samples were then collected continuously over a period of 10 days to assess the removal efficiency. Reactor samples that had been spiked with 10 μg/L of the five ARV drugs were analyzed quantitatively against external calibration curves. These values are compared to the spiked unreacted influent water. Each sampling time was analyzed in triplicate. Qualitative and quantitative data analysis was performed using Agilent MassHunter Qualitative and Quantitative software respectively. ARV compounds in the samples generated from the MBBR were quantified by using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Samples were pre-concentrated and extracted by SPE cartridges and injected into the LC-MS/MS for analysis. Quantification was performed against an external calibration curve.
LC-MS/MS analysis
LC analysis was performed on an Agilent 6460 triple Quad LC/MS system with water (A) and acetonitrile (B), both with 0.1% formic acid as mobile phase (all chemicals from Burdick and Jackson (Honeywell)). Separation was on an Agilent Poroshell HPH-C8, 2.7 μm, 3.0 × 50 mm column at a flow rate of 0.5 mL/min with a 10 μL injection volume. Elution started at 20% B (organic) for 0–5 mins, 5–15 mins to 90% B and 15–20 mins down to 20% (B). Column eluent passed into an Agilent 6460 triple quad LC/MS with a jet stream electrospray ionization source operated in a positive mode. Source and acquisition parameters are presented in Table 1.
Parameter . | Value . |
---|---|
Gas Temperature | 300 °C |
Drying Gas | 5.1 L/min |
Nebuliser | 45 psi |
Sheath Gas Temperature | 250 °C |
Sheath Gas Flow | 11 L/min |
Nozzle Voltage | 300 V |
Fragmentor | 135 V |
Acquisition range | 50–1500 m/z |
Acquisition rate | 0.33 cycles/s |
Parameter . | Value . |
---|---|
Gas Temperature | 300 °C |
Drying Gas | 5.1 L/min |
Nebuliser | 45 psi |
Sheath Gas Temperature | 250 °C |
Sheath Gas Flow | 11 L/min |
Nozzle Voltage | 300 V |
Fragmentor | 135 V |
Acquisition range | 50–1500 m/z |
Acquisition rate | 0.33 cycles/s |
Method validation
Method validation is an important part of analytical chemistry to confirm that the method employed for a specific test is suitable for its intended use (Green 1996). The method was validated for all five analytes according to the International Council for Harmonisation (ICH) guidelines, and the following parameters were tested for the validation: linearity, repeatability, % recovery, matrix match effect, limit of detection (LOD), and limit of quantitation (LOQ).
Accuracy, precision, calibration, and limit of quantification
The instrumental intra-day and inter-day repeatability tests of the instrument were assessed at three different concentrations (5 μg/L, 10 μg/L, and 15 μg/L) of mixed standards. The samples were injected six times (n= 6) at different times of the day for intra-day repeatability and on three consecutive days for inter-day repeatability. The percentage relative standard deviation (RSD) of the responses was then determined. The linearity of the calibration was determined from the correlation coefficient (R2) of the calibration curve recorded when seven different concentrations between 0.5 and 12 μg/L were injected in triplicate onto the LC-MS/MS system. External calibration curves were generated by injecting triplicates (10 μL) of serially diluted standards (Nevirapine, Emtricitabine, Ritonavir, Efavirenz, and Tenofovir) onto LC-MS/MS. Peak areas were measured, and a plot of the area against concentration was used to prepare the seven-point calibration curves for each ARV compound (0.5–12 μg/L). LOD and LOQ were determined by injecting 1 mg/L of standard ten times onto the LC-MS/MS. The LOD and LOQ for each analyte were defined as the lowest concentration producing a signal-to-noise ratio (S/N) of 3 and 10, respectively. The LOD and LOQ were determined by analyzing spiked Synthetic wastewater.
Recovery
Matrix effect (ME)
X = the peak area of the ARV standard recorded for the Milli-Q water.
Y = the peak area of the ARV standard recorded for the extracted synthetic wastewater sample spiked with the ARV standard after SPE.
Chemical analytical methods
Samples for analyzing nutrients, pH, BOD, COD, and dissolved oxygen (DO) were collected daily (from day 1 to day 30) in brown bottles from the MBBR effluent and analyzed immediately. BOD, COD, phosphate, ammonium, and total nitrogen (TN) were also monitored daily during the course of the experiment.
BOD of the influent and effluent was measured using a BOD analyzer (OxiTop IS 12, from labotec Midrand, South Africa). COD, NH4-N, TN-N, and PO4-P were measured by spectrophotometric methods using a NANOCOLOR® 500 D (MACHEREY-NAGEL, from Separations scientific Roodepoort, South Africa) kit. The pH and DO of the reactor were measured every day using a pH meter (BANTE instruments Labotec Midrand, South Africa, Multi Meter 900) and DO meter (model no. HI98198, from Hanna instruments Johannesburg, South Africa), respectively. All parameters were analyzed in triplicate.
Statistical analysis
The data obtained in this research were analyzed by Microsoft Excel software. Statistical analysis by t-test was used to indicate significant differences (P < 0.05) between the influent and the effluent of each ARV compound in the reactor. The difference is detected as statistically significant if the P-value is lower than 0.05 and non-significant if the P-value is greater than 0.05. Microsoft Excel software was also used to carry out descriptive statistics.
RESULTS AND DISCUSSION
The designed reactor was inoculated with activated sludge from a municipal wastewater treatment plant. Thirty days was necessary to achieve constant attached biomass concentration. This period is referred to as the start-up or acclimatization phase, during which the plastic carriers were being colonized by the microorganisms at the initially applied OLR (0.32–0.36 kg COD/m3·d−1). Additionally, all the experiments were conducted at pH 7 (±0.4). The assessment of the removal efficiency of ARV pollutants was achieved by collecting grab samples continuously over a period of 10 days. It is important to note that the results reported and discussed in this study focus on the results obtained after the optimization of the system, meaning the 10 days assessment period.
Nutrients, pH, BOD, COD, and DO analytical methods
Analysis of reactor samples
The low removal results of Nevirapine (Figure 3) could be attributed to its persistent nature (Wood et al. 2015). An in-vitro investigation of the removal rate of Nevirapine carried out by Vankova showed that Nevirapine has low biodegradability (up to 3%) in a closed bottle system (Vankova 2010). However, K'Oreje and co-workers have reported a much higher average removal percentage of 37% from a conventional aerobic wastewater treatment plant in Kenya (K'Oreje et al. 2016). Comparable results were also reported in South Africa by Abafe et al. (2018), who reported an average removal percentage of 32% from a municipal WWTP in the KwaZulu-Natal province. On the contrary, K'Oreje et al. (2016) also reported an increase in nevirapine concentrations at the outlet from another WWTP in Kenya (850 ng/L at the inlet and 1,000 ng/L at the outlet) and attributed this increase in concentration to the de-conjugation of the hydroxylated metabolites of nevirapine in the WWTP. Tenofovir was the second least biodegraded drug from the MBBR, with 74% removal efficiency (Figure 4). Like Nevirapine, Tenofovir has been reported to be persistent in the environment. Al-Rajab et al. (2010) in London have shown that Tenofovir is relatively persistent in soils with no evidence of transformation products. After introducing the drug to varying temperatures in treated soils (range 4 °C to 30 °C and autoclaved), mineralization in the soil increased with temperature and did not occur in autoclaved soil, suggesting a microbial-based degradation (Al-Rajab et al. 2010). Although this hypothetical finding addresses the compound's biodegradability by microorganisms, several studies have reported the detection of Tenofovir in WWTP effluents and surface waters, confirming the refractory nature of this drug (Schoeman et al. 2015; Wood et al. 2015; Mlunguza et al. 2019). Even though Nevirapine and Tenofovir were the least biodegradable antiretroviral drugs investigated in this study, the MBBR presents a promising alternative when compared to findings reported for conventional wastewater treatment plants (Table 2).
ARV . | Country . | Removal Percentage (%) . | References . |
---|---|---|---|
Nevirapine | South Africa | 15 | Schoeman et al. (2015) |
South Africa (Northern WWTP) | 19 | Abafe et al. (2018) | |
South Africa (Decentralized) | 9 | Abafe et al. (2018) | |
South Africa (Phoenix) | 32 | Abafe et al. (2018) | |
Kenya (Nyalenda) | 37 | K'Oreje et al. (2016) | |
Kenya (Kisat) | 2 | K'Oreje et al. (2016) | |
Kenya (Dandora) | −76 | K'Oreje et al. (2016) | |
MBBR | 62 | This study | |
Efavirenz | South Africa | 27–71 | Schoeman et al. (2015) |
South Africa (Decentralized) | 0 | Abafe et al. (2018) | |
South Africa (Nothern) | −37 | Abafe et al. (2018) | |
South Africa (Phoenix) | 41 | Abafe et al. (2018) | |
Kenya (Nyalenda) | 67 | K'Oreje et al. (2016) | |
Kenya (Kisat) | 89 | K'Oreje et al. (2016) | |
Kenya (Dandora) | 87 | K'Oreje et al. (2016) | |
MBBR | 94 | This study | |
Tenofovir | MBBR | 74 | This study |
Ritonavir | South Africa (Decentralized) | 53 | Abafe et al. (2018) |
South Africa (Northern WWTP) | 43 | Abafe et al. (2018) | |
South Africa (Phoenix WWTP) | 71 | Abafe et al. (2018) | |
MBBR | 95 | This study | |
Emtricitabine | MBBR | 95 | This study |
ARV . | Country . | Removal Percentage (%) . | References . |
---|---|---|---|
Nevirapine | South Africa | 15 | Schoeman et al. (2015) |
South Africa (Northern WWTP) | 19 | Abafe et al. (2018) | |
South Africa (Decentralized) | 9 | Abafe et al. (2018) | |
South Africa (Phoenix) | 32 | Abafe et al. (2018) | |
Kenya (Nyalenda) | 37 | K'Oreje et al. (2016) | |
Kenya (Kisat) | 2 | K'Oreje et al. (2016) | |
Kenya (Dandora) | −76 | K'Oreje et al. (2016) | |
MBBR | 62 | This study | |
Efavirenz | South Africa | 27–71 | Schoeman et al. (2015) |
South Africa (Decentralized) | 0 | Abafe et al. (2018) | |
South Africa (Nothern) | −37 | Abafe et al. (2018) | |
South Africa (Phoenix) | 41 | Abafe et al. (2018) | |
Kenya (Nyalenda) | 67 | K'Oreje et al. (2016) | |
Kenya (Kisat) | 89 | K'Oreje et al. (2016) | |
Kenya (Dandora) | 87 | K'Oreje et al. (2016) | |
MBBR | 94 | This study | |
Tenofovir | MBBR | 74 | This study |
Ritonavir | South Africa (Decentralized) | 53 | Abafe et al. (2018) |
South Africa (Northern WWTP) | 43 | Abafe et al. (2018) | |
South Africa (Phoenix WWTP) | 71 | Abafe et al. (2018) | |
MBBR | 95 | This study | |
Emtricitabine | MBBR | 95 | This study |
Comparison of antiretroviral removal efficiency
Even though literature has reported the five ARV drugs investigated in this study to be recalcitrant (Al-Rajab et al. 2010; Prasse et al. 2010; Jain et al. 2013; Wood et al. 2015), Efavirenz, Emtricitabine and Ritonavir were removed in the MBBR at an average removal rate of 93.62%, 94.18%, and 94.87% respectively (Figures 5–7). In this regard, the MBBR showed a much better removal percentage of the three ARV drugs when compared to reported removal percentage data on conventional WWTPs. In a previous study in South Africa, Schoeman et al. (2015) investigated the ability of a municipal WWTP to remove Efavirenz. The compound concentrations entering the WWTP ranged between 5,500 and almost 14,000 ng/L, and the removal percentage ranged between 27 and 71%. Abafe et al. (2018) have reported varying removal percentages of Ritonavir from three different municipal WWTPs in South Africa. A removal percentage of 53% was reported for decentralized wastewater treatment (DEWATS), 43% for Northern WWTP, and 71% for Phoenix WWTP. No removal efficiency studies were reported on Emtricitabine by the time of this study. However, the MBBR has been shown to remove Emtricitabine almost entirely at 95% (Figure 7). Like many other emerging contaminants, ARV drugs have been reported in the ng/L range in the influents of conventional WWTPs. These relatively low concentrations may result in poor adaptation or development of activated sludge bacteria to degrade these ARV drugs, since slow-growing microorganisms suffer flush-outs in conventional activated sludge systems due to the low solid retention time.
Method validation
Accuracy, precision, calibration, and limit of quantification
The objective of the validation of an analytical procedure is to demonstrate that it is suitable for its intended purpose (Rao 2018). Methods need to be validated or revalidated before their introduction into routine use (Agalloco 1995). The analytical validation performed in this research included linearity, percentage recovery, repeatability, matrix effect, the limit of detection, and the limit of quantification. The result of the linearity of the analytical method is presented in Table 3, and it was determined as described in the validation and linearity section (see Supplementary Information). The response area of the three analytes was linear to the measured concentrations of the standards. The R2 values for the three compounds were 0.979, 0.998, 0.988, 0.989, and 0.983 for Nevirapine, Emtricitabine, Ritonavir, Efavirenz, and Tenofovir, respectively. The result showed that a good correlation was obtained between the peak areas and concentrations. The limit of detection (LOD) of an analytical technique is the lowest concentration of an analyte that can be detected or distinguished (though not quantified) from the noise of an analytical procedure or of an instrument. It is usually stated as a concentration at a signal-to-noise ratio of 3:1 (Bhardwaj et al. 2015; Vidushi et al. 2017). The limit of quantitation (LOQ), on the other hand, is the lowest concentration of an analyte that can be successfully quantified in a sample with satisfactory precision and accuracy under specified working conditions (Bhardwaj et al. 2015). It is usually calculated as a signal: noise ratio of 10:1 as recommended by ICH (Bhardwaj et al. 2015; Vidushi et al. 2017). Table 3 presents the LOD for the five pharmaceutical formulations and it varied from 0.12 to 0.16 ng/ml. LOQ ranged between 0.40 and 0.53 ng/ml. Triplicate measurements of peak areas of seven different concentrations (0.5–12 μg/L) for Nevirapine, Emtricitabine, Ritonavir, Efavirenz, and Tenofovir were determined using the LC-MS/MS. The plot of the area against concentration was used to prepare the seven-point calibration curves for each pharmaceutical compound as shown in Appendix A to Appendix E (see Supplementary information). Typical chromatograms for the calibration standard are presented in Appendix F to Appendix K (see Supplementary information).
Drug . | LOD (ng/mL) . | LOQ (ng/mL) . | Linearity (R2) . | % Recovery (SD) . | % Matrix effect (SD) . | Intra-day repeatability (RSD) . | Inter-day repeatability (RSD) . | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5 ng/mL . | 10 ng/mL . | 15 ng/mL . | 5 ng/mL . | 10 ng/mL . | 15 ng/mL . | 5 ng/mL . | 10 ng/mL . | 15 ng/mL . | |||||
Nevirapine | 0.13 | 0.44 | 0.979 | 94.24 ( ± 3.71) | 90.51 ( ± 3.55) | 90.33 ( ± 4.16) | 76 ( ± 2.41) | 1.22 | 1.26 | 1.26 | 1.34 | 1.56 | 1.56 |
Emtricitabine | 0.14 | 0.47 | 0.998 | 83.21 ( ± 5.31) | 83.81 ( ± 4.54) | 83.67 ( ± 4.32) | 74 ( ± 3.16) | 1.41 | 1.50 | 1.53 | 1.56 | 1.59 | 2.01 |
Ritonavir | 0.12 | 0.40 | 0.988 | 95.26 ( ± 4.93) | 90.87 ( ± 3.91) | 91.11 ( ± 5.19) | 79 ( ± 3.34) | 1.21 | 1.29 | 1.33 | 1.38 | 1.41 | 1.41 |
Efavirenz | 0.16 | 0.53 | 0.989 | 88.37 ( ± 3.12) | 84.26 ( ± 5.11) | 85.12 ( ± 5.23) | 73 ( ± 2.55) | 1.33 | 1.41 | 1.43 | 1.55 | 1.57 | 1.56 |
Tenofovir | 0.14 | 0.47 | 0.983 | 85.23 ( ± 2.94) | 82.52 ( ± 3.82) | 82.85 ( ± 4.66) | 71 ( ± 2.72) | 1.34 | 1.56 | 1.58 | 1.66 | 1.62 | 1.67 |
Drug . | LOD (ng/mL) . | LOQ (ng/mL) . | Linearity (R2) . | % Recovery (SD) . | % Matrix effect (SD) . | Intra-day repeatability (RSD) . | Inter-day repeatability (RSD) . | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5 ng/mL . | 10 ng/mL . | 15 ng/mL . | 5 ng/mL . | 10 ng/mL . | 15 ng/mL . | 5 ng/mL . | 10 ng/mL . | 15 ng/mL . | |||||
Nevirapine | 0.13 | 0.44 | 0.979 | 94.24 ( ± 3.71) | 90.51 ( ± 3.55) | 90.33 ( ± 4.16) | 76 ( ± 2.41) | 1.22 | 1.26 | 1.26 | 1.34 | 1.56 | 1.56 |
Emtricitabine | 0.14 | 0.47 | 0.998 | 83.21 ( ± 5.31) | 83.81 ( ± 4.54) | 83.67 ( ± 4.32) | 74 ( ± 3.16) | 1.41 | 1.50 | 1.53 | 1.56 | 1.59 | 2.01 |
Ritonavir | 0.12 | 0.40 | 0.988 | 95.26 ( ± 4.93) | 90.87 ( ± 3.91) | 91.11 ( ± 5.19) | 79 ( ± 3.34) | 1.21 | 1.29 | 1.33 | 1.38 | 1.41 | 1.41 |
Efavirenz | 0.16 | 0.53 | 0.989 | 88.37 ( ± 3.12) | 84.26 ( ± 5.11) | 85.12 ( ± 5.23) | 73 ( ± 2.55) | 1.33 | 1.41 | 1.43 | 1.55 | 1.57 | 1.56 |
Tenofovir | 0.14 | 0.47 | 0.983 | 85.23 ( ± 2.94) | 82.52 ( ± 3.82) | 82.85 ( ± 4.66) | 71 ( ± 2.72) | 1.34 | 1.56 | 1.58 | 1.66 | 1.62 | 1.67 |
The results of intra-day and inter-day evaluations are presented in Table 3. These were estimated based on relative standard deviation (RSD) at the same experimental conditions. The values for the three concentrations examined ranged between 1 and 1.82 and between 1.30 and 3.28 for intra-day and inter-day, respectively. The RSDs for the compounds are within the acceptable limit (less than 20%) for the repeatability test for the high performance liquid chromatography (HPLC) method (United Nations 2009). This shows that the method was repeatable and reliable.
Percentage recovered
Percentage recoveries for the five compounds are presented in Table 3. From the results obtained, Tenofovir, Emtricitabine, and Efavirenz had the lowest recovery compared to the other compounds. This could be attributed to their high solubility in aqueous media, which limited their retention on SPE (WHO 2010; European Medicines Agency 2017). On the other hand, Ritonavir and Nevirapine maintained the highest recoveries at the three levels of determinations, and this can be attributed to their low polarity and low solubility in water (DeGoey et al. 2009; WHO 2009).
Matrix effect
The results for the matrix effects are shown in Table 3; it can be noticed that all five compounds were prone to matrix effects. The matrix effects ranged between 71 and 79%, which increased in the following order: Ritonavir > Nevirapine > Emtricitabine > Efavirenz > Tenofovir. Although liquid chromatography-mass spectrometry (LC-MS) is one of the most sensitive and selective analytical techniques, it often suffers from matrix effects, especially when using electrospray ionization (ESI) for analyzing extracts of complicated matrices (Matuszewski et al. 1998). Matrix effects are often caused by the alteration of the ionization efficiency of target analytes in the presence of co-eluting compounds in the same matrix. This may be suppression or enhancement of signal or response from the target analyte, thus affecting the accuracy of analytical methods (Cimetiere et al. 2013). Analytical inaccuracy could result from different sources, which include sample composition, compounds released during sample pre-treatment or extraction, mobile phase additives, sample-to-matrix ratios, matrix type, and extraction methodology (Wood et al. 2015). To avoid the effect, samples may be analyzed either by external calibration using matrix-matched standards or by standard addition (Cimetiere et al. 2013; Wood et al. 2015; Panuwet et al. 2016).
CONCLUSION
The literature review revealed that current WWTPs are not able to provide an absolute barrier to the elimination of emerging contaminants. Therefore, this study investigated the efficacy of an MBBR to remove antiretroviral drugs from synthetic municipal wastewater. The MBBR demonstrated the capacity to degrade pharmaceuticals that have thus far been considered as recalcitrant as they are poorly degraded by activated sludge in WWTPs, while at the same time maintaining its effectiveness to remove organic matter (BOD and COD) and nutrients (NH4, total nitrogen (TN), and PO4). The optimum operating conditions for the MBBR were obtained at a carrier filling rate of 30% and an organic loading rate of 0.6 kg COD/m3·d−1 OLR, a hydraulic retention time of 18 h, and a 27.8 mL/min flow rate. At these operating conditions, the MBBR achieved the highest removal rate of BOD, COD, NH4, TN, and PO4. The reductions of BOD and COD were consistently high (>90%) during pre- and post-introduction of antiretroviral drugs. NH4, TN, and PO4 were also significantly eliminated (>70, >60, and >60%, respectively) in both cases. The MBBR was found to efficiently remove Nevirapine, Tenofovir, Efavirenz, Ritonavir, and Emtricitabine from the synthetic influent sample with an average removal of 62, 74, 94, 94, and 95% respectively after 10 days of operation.
DATA AVAILABILITY STATEMENT
All relevant data are included in the paper or its Supplementary Information.
CONFLICT OF INTEREST
The authors declare there is no conflict.