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. 2024 Feb 28;10(5):e27266. doi: 10.1016/j.heliyon.2024.e27266

Effect of the anode material, applied current and reactor configuration on the atenolol toxicity during an electrooxidation process

MT Montañés 1,, M García-Gabaldón 1, JJ Giner-Sanz 1, J Mora-Gómez 1, V Pérez-Herranz 1
PMCID: PMC10915559  PMID: 38449618

Abstract

Atenolol (ATL) is a beta-blocker pharmaceutical product which is excreted mainly unchanged and may represent a long-term risk for organisms present in the sea and in fresh water. Due to its low biodegradation rate, electrochemical advanced oxidation processes (EAOPs) can be used to remove this compound. In this work, ATL ecotoxicity was analyzed in the presence of sodium sulfate (Na2SO4), which is widely used as supporting electrolyte in EAOPs. Ecotoxicity values were expressed as the pollutant concentration that leads to a 50% inhibition of the root elongation of Lactuca sativa seeds in relation to the control (EC50(5 days)). The obtained values for ATL showed an EC50(5 days) of 1377 mg L−1 towards Lactuca sativa. When Na2SO4 was added, the toxicity of the sample increased but no synergy was detected between both compounds. With 2 g L−1 Na2SO4, ATL showed an EC50(5 days) of 972 mg L−1; and with 4 g L−1 Na2SO4 and higher concentrations, EC50 value for ATL was 0 mg L−1. Statistical tools were used to obtain the zones of the [ATL]-[Na2SO4] plane which are toxic towards Lactuca sativa.

Solutions containing ATL and Na2SO4 were treated by electrooxidation. Two anode materials (a boron-doped diamond electrode and a microporous Sb-doped SnO2 ceramic one); three operation currents (0.4, 0.6 and 1 A); and two reactor configurations (one-compartment reactor and two-compartment reactor separated by a cation exchange membrane) were used. Lactuca sativa seeds and Vibrio fischeri bacterium tests were employed to evaluate the toxicity of the solutions before and after applying the electrooxidation process. In all the tests, the ecotoxicity of the treated sample increased. This fact is owing to the persulfate presence in the solution due to the sulfate electrochemical oxidation. Nevertheless, none of the final samples were toxic towards Vibrio fischeri because ecotoxicity values were lower than 10 TU; and, in the case of the one-compartment reactor, practically all of them were also non-toxic towards Lactuca sativa. The toxicity of the treated samples increased when using the two-compartment reactor in the presence of the BDD anode, and when the operation current was increased. This is attributed to the highest formation of persulfates. Amongst all the tests performed in this work, the lowest toxicity value (i.e., 3 TU) together with the complete mineralization and degradation degrees was achieved with the two-compartment reactor using the BDD anode and operating at 0.6 A.

Keywords: Atenolol, Electrochemical oxidation, Lactuca sativa, Sodium sulfate, Toxicity, Vibrio fischeri

1. Introduction

Pharmaceutical products have been detected in the aquatic ecosystems as micropollutants, with concentrations values ranging from ng·L−1 to μg·L−1. These compounds can lead to potentially damaging environmental consequences, even in the ng·L−1 scale [[1], [2], [3], [4]]. Among the pharmaceuticals more frequently detected in water are beta-blockers, which are usually used to treat human hypertension [5]. Atenolol, metoprolol, and propanolol are the most abundantly found antihypertensives in surface waters [6]. The presence of these therapeutic compounds in the aquatic environment can be attributed to the rise of the pharmaceutical industry; moreover, antihypertensives are among the most consumed pharmaceuticals worldwide [7].

β-Blockers may represent a long-term risk for organisms present in the sea and in fresh water. Concretely, atenolol is excreted mainly unchanged (>96%) [6] and its degradation is usually incomplete in conventional wastewater treatment plants, probably due to its low biodegradation rate [8]. Therefore, more advanced removal techniques are necessary to remove atenolol [9]. Amongst current tertiary and quaternary treatment technologies, advanced oxidation processes (AOPs) seem attractive methods to remove emerging contaminants from the aquatic ecosystems; specifically, electrochemical advanced oxidation processes (EAOPs), owing to their high effectiveness, easy handling due to the simpleness of the equipment and automation susceptibility, and low environmental impact since no chemical compounds are added and no secondary waste stream is produced [10,11]. During an EAOP, organic pollutants can be oxidized via two mechanisms, (i) direct oxidation, where the contaminant is oxidized directly by electron transfer from the anode surface, or (ii) indirect oxidation, where an oxidant species produced at the anode surface, such as hydroxyl radicals, mediates the electron transfer. The efficacy of both types of oxidation processes depends on the nature and concentration of the pollutant under study, the applied current, the temperature, the reaction time, the supporting electrolyte used and the pH of the solution [12,13]. A complete oxidation requires the transformation of the organic pollutant into simple oxidation by-products, which are further fragmented to harmless inorganic compounds such as CO2 and H2O (i.e., mineralization). However, sometimes the process can result in partial oxidation of the organic pollutant into by-products which are not mineralizable and may have harmful consequences for health [11]. For this reason, it is advisable to test water for toxicity after applying an EAOP. In fact, future investigation on EAOP should pay attention to the evaluation and minimization of toxicity, among other aspects such as technological combination, advance in new materials, lowering of energy consumption and consideration of renewable energy sources for applications on a bigger scale [14].

In the last twenty years, toxicity investigations using plants have progressively replaced in most fields, tests with animals. Phytotoxicity tests, such as the seed germination rate or the inhibition of root elongation tests, present some advantages as their simpleness, low price, and that they need a relatively small quantity of sample; in addition, the seeds can be used for a long time [15]. The most common plant species used are cucumber, lettuce, radish, red clover and wheat. After comparing some of these species, Banks and Schultz [16] and Priac and coworkers [15] recommended lettuce (Lactuca sativa L.) as a bioindicator to analyze the toxicity of water and soil samples. Besides phytotoxicity tests, microorganisms with luminescent properties as the Vibrio fischeri bacterium have been employed in numerous toxicity studies too [17]. In this case, an appropriate equipment is used to measure the modification in the bacterial luminescence in contact with a toxic compound. These types of experiments stand out for their simplicity and speed to analyze the samples. For these reasons, both types of toxicity assays, i.e., Lactuca sativa and Vibrio fischeri tests, are widely used to evaluate toxicity of untreated and EAOP-treated samples [18].

The objective of the present paper is to evaluate the ecotoxicity of atenolol (ATL) in the simultaneous presence of sodium sulfate, which is a supporting electrolyte widely used in electrochemical processes, before and after its treatment by an electrochemical advanced oxidation, the electrooxidation. Moreover, the effect of three process variables, i.e., anode material, operation current and reactor configuration, on the toxicity modification during the electrooxidation was analyzed. The toxicity was developed by means of Lactuca sativa and Vibrio fischeri assays, determining the inhibition in growth and luminescence, respectively.

2. Material and methods

2.1. Solutions for Lactuca sativa tests

The effect of ATL (Fig. 1), sodium sulfate and pH on the ecotoxicity towards Lactuca sativa was assessed. Solutions were prepared with ATL (C14H22N2O3, Sigma-Aldrich) ranging from 0 to 550 ppm, sodium sulfate (Na2SO4, analytical grade from Panreac) varying from 0 to 6 g L−1 and pH ranging from 2 to 9.5. The pH was adjusted using 0.1 M sulfuric acid (H2SO4, J.T.Baker) or 0.1 M sodium hydroxide (NaOH, analytical grade from Panreac). These ranges were chosen to match the concentrations used in the electrochemical experiments.

Fig. 1.

Fig. 1

Structural formula of Atenolol.

2.2. Electrochemical experiments

The electrooxidation process was applied for 4 h, to an initial solution containing 100 mg L−1 of ATL and 2 g L−1 or 14 g L−1 of Na2SO4 as supporting electrolyte, depending on the electrochemical reactor configuration: a one-compartment reactor and a two-compartment reactor containing a cationic exchange membrane (Nafion 117, Dupont). In order to obtain comparable results it was necessary to increase the conductivity in the solution due to the greater distance between electrodes when using the two-compartment reactor. This is why the highest concentration value of the supporting electrolyte is employed in this case. A stainless steel sheet was used as cathode and two distinct materials were employed as anodes: a microporous Sb-doped SnO2 ceramic anode with a molar relation SnO2/Sb2O3 equal to 98/2, which was characterized in a previous work [19], and a Boron-doped diamond (BDD) anode with a doping degree of 2500 mg L−1 (NeoCoat SA). In addition, three operation currents (0.4, 0.6 and 1 A) were applied.

The ATL final concentration was evaluated by an HPLC system provided with a Photodiode Array detector MD2018 Plus, a PU-2089 quaternary gradient pump (Jasco, Japan) and a Kinetex XB-C18 column. The total organic carbon (TOC) concentration was determined by means of a Shimadzu TNM-L ROHS TOC equipment. The persulfate concentration was quantified by iodometry titrations [20]. Finally, changes in the ecotoxicity of the solution were evaluated by means of both Lactuca sativa and Vibrio fischeri tests. Before carrying out the ecotoxicity assays, the pH of the samples was adjusted approximately to 6 using H2SO4 or NaOH, both described previously.

2.3. Ecotoxicity measurements towards Lactuca sativa

Commercial Lactuca sativa seeds (Batavia variant, Reina de Mayo) preserved at 5 °C without any pretreatment, were used to carry out ecotoxicological tests. Twenty seeds were arranged over a 90 mm diameter filter paper, soaked with 4 ml of the problem solution to be analyzed and placed inside a Petri dish. Distilled water was used as the negative control and each experiment was repeated four times. The dishes were preserved at 20 °C in the darkness during 5 days, and results were considered adequate if at least 65% of the negative control seeds germinated [21].

After the 5 days, the ecotoxicity results were evaluated in terms of the root relative growth (RRG) according to Equation (1):

RRG (%) = (L/Lc) · 100 (1)

where L is the average root length developed in contact with the problem sample and Lc is the average root length for the control solution.

The normality analysis of the obtained Li (the root length of each seed) data was assessed by the Shapiro-Wilk test [22] by means of the free software Past 3.20. For normally distributed Li data, Tukey's pairwise test was used to compare the L means with their respective Lc mean; whereas non-normally distributed Li data were analyzed using the Mann-Whitney test, performed with the software Past 3.20. All the statistical analysis presented in this work were performed using a 95% confidence level.

Furthermore, a statistical analysis of the calculated RRG data was carried out by means of Statgraphics Plus 5.1 (Manugistics, Inc., Rockville, MA, USA) to calculate the effect of the three experimental factors (i.e., ATL concentration, Na2SO4 concentration, and pH value) on the response variable (RRG). Initially, an ANalysis Of VAriance (ANOVA) was used to assess the factors and interactions that have a statistically significant effect on the response variable (RRG). Later, the response surface methodology (RSM) was applied to develop a black box model that relates RRG with the statistically significant factors and interactions identified by the ANOVA analysis. In order to validate the statistical analysis, the four main hypotheses, i.e. statistical significance, independence, normality, and homoscedasticity, were checked. First, the statistical significance hypothesis is met since the residual number of degrees of freedom exceeds 4 in all the statistical studies presented here. Second, the independence condition is guaranteed by the selected experimental design. Third, the normality of the residues was checked using normal probability plots, and Kolmogorov-Smirnov and Shapiro-Wilk normality tests. Finally, the homoscedasticity hypothesis was verified using predicted versus residue plots. To end, the pollutant concentration that leads to a 50% inhibition of the root elongation in relation to the control (EC50) was estimated using the built black box model. The RSM is not the usual methodology for estimating EC50 values; however, Mao and co-workers considered it a helpful tool in ecotoxicological investigations [23] as it needs less experimental data and, therefore, fewer experiments than the standard method [24].

2.4. Ecotoxicity measurements towards Vibrio fischeri

A Microtox model M − 500 toxicity analysis equipment (Strategic Diagnostics Inc., USA) was used to evaluate the toxicity towards Vibrio fischeri. The bioluminescence inhibition tests were performed at 15 °C with a salinity degree of 2% NaCl, and an exposure time of 15 min. Under these conditions, the MicrotoxOmni software provides toxicity values as n-TU (toxicity units), being n the number of dilutions to be carried out with a sample to achieve a luminescence inhibition of 50% of the Vibrio fischeri bacteria.

3. Results and discussion

3.1. Effect of ATL concentration on ecotoxicity towards Lactuca sativa at different Na2SO4 concentrations and pH values

Although Atenolol is the pollutant under concern, sodium sulfate and pH are important factors to be considered in an electrochemical process. The former is usually employed as supporting electrolyte because it is necessary to rise the conductivity of the solution; and the latter may change during the process due to secondary reactions. Therefore, the influence of both parameters on the toxicity of ATL must be first analyzed.

Fig. 2 shows the toxicity results achieved towards Lactuca sativa in terms of root relative growth for different concentrations of ATL and Na2SO4, and various pH values: 4.5 in Figs. 2(a), 7.0 in Figs. 2(b) and 9.5 in Fig. 2(c). The results for pH equal to 2 are not shown because no seed germination was observed for any of the ATL and Na2SO4 concentrations analyzed. The dashed line in Fig. 2 corresponds to a root relative growth equal to 50%. Therefore, a sample is toxic when its root relative growth is below the dashed line. Error bars indicate the standard deviation of four repetitions. Finally, the samples with a black point or a white point show a statistically significant difference from the negative control and from 0 mg L−1 ATL, respectively.

Fig. 2.

Fig. 2

Combined effect of ATL and Na2SO4 concentrations on root relative growth of Lactuca sativa at (a) pH value equal to 4.5, (b) pH value equal to 7.0, and (c) pH value equal to 9.5. Error bars indicate the standard deviation of four repetitions. Red points (•) and white points (ο) indicate the samples which show a statistically significant difference from the negative control and from 0 mg L−1 ATL, respectively, for a confidence level of 95%. The dashed line defines the limit to consider that a sample is toxic. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

In general, Fig. 2 shows that the root relative growth of the Lactuca sativa seeds decreases as the ATL concentration increases, and therefore it leads to an increased toxicity of the samples. However, for the lowest concentrations of ATL with the smallest concentrations of supporting electrolyte, the samples appear to be less toxic than in the absence of ATL. Moreover, in the absence of Na2SO4, the root relative growth is greater than 100%, showing that these solutions are less toxic towards Lactuca sativa than the control. Furthermore, for Na2SO4 concentrations lower or equal to 2 g L−1, the samples are not toxic towards Lactuca sativa in the whole range of ATL concentrations considered here; whereas for the highest Na2SO4 concentrations (4 and 6 g L−1), practically all the samples are toxic, since they have a p-value lower than 0.05, and a root relative growth lesser than 50%. In a later section, the possible synergy between both compounds will be analyzed. So far, it seems that low concentrations of ATL benefit the root growth of Lactuca sativa, but the presence of Na2SO4 worsens it. In fact, Na2SO4 produces a rise in the toxicity of the solution towards Lactuca sativa; and, as the concentration of Na2SO4 rises, the value of the ATL concentration that shows a 50%-relative root growth rate decreases leading to higher toxicity values. This behavior was also detected in a previous work [25] where toxicity of Norfloxacin was analyzed using Na2SO4 as a supporting electrolyte.

Regardless of Na2SO4 concentration, the results in Fig. 2 clearly show that, as the concentration of the supporting electrolyte rises, the root relative growth of the Lactuca sativa seeds decreases, and consequently it leads to the increased toxicity of the samples. It is known that sulfate is an important nutrient for plants, but an excess of nutrients may be toxic to the organisms; sulfate toxicity is attributed to creating an unsustainable osmotic imbalance between the plant and its surrounding environment [26,27]. Fig. 2 shows that, in the absence of ATL, the EC50(5 days) of Na2SO4 towards Lactuca sativa, i.e., the effective concentration that leads to a 50%-relative root growth, is between 4 and 6 g L−1 for the three pH values analyzed. This result is consistent with the value obtained in a previous work [25], where the EC50(5 days) of Na2SO4 towards Lactuca sativa was calculated to be 4.8 g L−1 at a pH of 6.5.

Finally, no clear influence of the pH on the toxicity of the samples was observed in the 4.5–9.5 pH range. In the absence of ATL and Na2SO4, the neutral pH sample displays the closest to 100%-relative root growth and slightly acidic and basic solutions show slightly lower values. Only samples of pH = 2 were very toxic towards Lactuca sativa as any seed germinated. This behavior of toxicity values versus pH was also observed in a previous work [25], where the effect of pH on the Norfloxacin toxicity was studied; and it is in accordance with the biologically active pH interval, i.e., 5.5 to 8.0.

3.2. Statistical analysis of the ecotoxicity results obtained with Lactuca sativa seeds

The results in Fig. 2 were subjected to a study of variance (ANOVA) to quantify the effects of the three experimental factors, i.e., ATL concentration, Na2SO4 concentration, and pH value, on the response variable (RRG). The obtained Pareto chart (Fig. 3(a)) shows that pH hasn't any statistically significant effect on RGG of Lactuca sativa in 4.5–9.5 range. This result agrees with the no clear influence of pH on the toxicity observed in Fig. 2. However, both ATL and Na2SO4 concentrations have a statistically significant effect on the root relative growth, for a 95% confidence level. The Na2SO4 concentration displays a stronger effect on the RRG than that of ATL, in the considered concentrations ranges. Moreover, both concentration values have a negative effect, indicating that an increase in any of them produces a decrease of the RRG of Lactuca sativa, which is consistent with Fig. 2.

Fig. 3.

Fig. 3

Pareto charts for the root relative growth (RRG) of Lactuca sativa (a) before discarding non-statistically significant effects, and (b) after discarding them. The vertical line identifies the 95% significance threshold.

The response surface method was applied, after discarding the statistically non-significant effects (Fig. 3(b)), obtaining the following black box model:

RRG (%) = 103.578 – 0.0398659 · [ATL] – 13.5173 · [Na2SO4] + 0.00679922 · [ATL] · [Na2SO4] (2)

Equation (2) relates the root relative growth (RRG) expressed in % with the ATL concentration expressed in mg·L−1, and the Na2SO4 concentration expressed in g·L−1. The fitted model presents an R2 value of 85.0%, showing that the model is able to capture mostly all the variability of the experimental data. Setting RRG equal to 50% in Equation (2), it is possible to obtain the Pareto toxicity boundary, i.e., the combinations of ATL and Na2SO4 concentrations that lead to a 50%-RRG of Lactuca sativa, EC50(5days):

[ATL] = (53.578 – 13.5173 · [Na2SO4]) / (0.0398659 – 0.00679922 · [Na2SO4]) (3)

Fig. 4 presents Equation (3) in the first quadrant, where concentrations are positive. The solid line represents the Pareto toxicity boundary, so that all the combinations of ATL and Na2SO4 concentrations above this line represent toxic solutions towards Lactuca sativa.

Fig. 4.

Fig. 4

Predicted EC50(5 days) values towards Lactuca sativa for solutions containing both ATL and Na2SO4 in 4.5–9.5 pH range.

Table 1 compares the EC50(5 days) values predicted with Equation (3) with the corresponding values obtained by linear interpolation from Fig. 2 experimental data. The linear interpolations were performed without considering pH differences, because pH has not a statistically significant effect on the root relative growth of Lactuca sativa in 4.5–9.5 pH range, as previously evidenced. By linear interpolation, the EC50(5 days) value for Atenolol in absence of supporting electrolyte is 1377 mg L−1. Cleavers [28] and Hernando and co-workers [29] affirmed that ATL can be considered a non-toxic substance but, nonetheless, it can contribute to the overall toxicity of the conglomerate of pharmaceutical products and their metabolites found in the aquatic ecosystems. Comparing the EC50(5 days) value of ATL towards Lactuca sativa with that of Na2SO4, ATL is more toxic than the supporting electrolyte, with an EC50(5 days) ratio of around 3:1 (Na2SO4:ATL). Other works reported an EC50(48 h) value of ATL and Na2SO4 towards Daphnia magna equal to 313 mg L−1 [28] and 2564 mg L−1 [30], respectively. Although these values lead to a 8:1 EC50(48 h) ratio (Na2SO4:ATL), which is somewhat greater than the value obtained towards Lactuca sativa, they are consistent with the fact that ATL is more toxic than sodium sulfate. The addition of Na2SO4 to the ATL solutions causes a rise in the toxicity towards Lactuca sativa: the EC50(5 days) values of Atenolol in the presence of Na2SO4 were 972, 0 and 0 mg L−1 for 2, 4 and 6 g L−1 of Na2SO4, respectively. Finally, as it can be seen in Table 1, the EC50(5 days) predicted from Equation (3) agree with those values obtained by linear interpolation of the experimental data.

Table 1.

EC50(5 days) values for different mixtures of ATL and Na2SO4, obtained with Lactuca sativa seeds.

Pollutant EC50(5 days) (mg L−1) obtained from Equation (3) EC50(5 days) (mg L−1) obtained from linear interpolation of experimental data
Only Na2SO4 3960 3840
Only ATL 1344 1377
ATL with 2 g L−1 Na2SO4 1010 972
ATL with 4 g L−1 Na2SO4 0 0
ATL with 6 g L−1 Na2SO4 0 0

3.3. Synergy between ATL and Na2SO4 on ecotoxicity towards Lactuca sativa

Studies of environmental toxicity are often performed considering the individual effect of chemicals and their additive behavior in mixtures. This fact may underestimate the risk associated with mixtures, as the different chemicals may interact synergistically. When the real effect of a mixture is equal to the theoretic sum of the individual effects, a simple additive effect occurs. However, both values may be different: a synergy phenomenon is observed when the real effect is greater than the theoretic sum; and conversely, an antagonistic response takes place if the real effect is lower than the theoretic sum. In terms of toxicity, the synergistic case is the most damaging.

The synergy between ATL and Na2SO4 on toxicity towards Lactuca sativa was analyzed in terms of the diminution in root elongation (DRE) in relation to the control, which was calculated according to Equation (4):

DRE (%) = 100 – RRG (%) (4)

Fig. 5 shows the predicted decrease in root elongation versus the observed decrease in root elongation for the distinct concentrations of ATL with 2, 4 and 6 g L−1 of Na2SO4. The predicted decrease is the sum of the individual effects, i.e., sum of the root elongation reduction for ATL and Na2SO4 individually. The dashed line in the figure corresponds to the bisector. Therefore, if the points of the graphic are located on the bisector, there is a simple additive effect between ATL and Na2SO4 on toxicity towards Lactuca sativa; if the points are above the bisector, an antagonistic effect is observed; and, finally, if the points are below the bisector, there is a synergistic effect between both compounds. The solid lines of the graph show the linear fit of the points corresponding to each concentration of supporting electrolyte.

Fig. 5.

Fig. 5

Synergy analysis between ATL and Na2SO4 on toxicity towards Lactuca sativa: comparison between the sum of the individual effects (predicted decrease) and the observed decrease in root elongation. The dashed line corresponds to the bisector. The solid lines show the general trend of the points corresponding to (a) 2 g L−1 Na2SO4; (b) 4 g L−1 Na2SO4; and (c) 6 g L−1 Na2SO4.

A clear antagonistic effect between ATL and Na2SO4 on toxicity towards Lactuca sativa is observed in Fig. 5, for the lowest concentration of Na2SO4 analyzed (2 g L−1), because the predicted decrease in root elongation is greater than the real decrease observed. However, as the Na2SO4 concentration rises, the antagonist effect's magnitude is reduced; and a simple additive effect is finally observed for the greatest Na2SO4 concentration (6 g L−1). Mera and co-workers [27] observed that sodium sulfate shows a dual antagonistic/synergistic effect on cadmium toxicity towards a microalgae (Chlamydomonas moewussi) depending on the concentration values of the former. Sulfate is an important nutrient which can induce physiological responses to mitigate cadmium toxicity, but an excess of nutrients can be toxic to organisms, enhancing the toxic behavior of this metal. However, these authors observed that the antagonistic effect between cadmium and Na2SO4 is stronger than the synergistic one.

An antagonism phenomenon was also observed between Norfloxacin and Na2SO4 for concentrations of 2, 4 and 6 g L−1 of the latter compound [25]. The toxicity towards Lactuca sativa of Norfloxacin (336 mg L−1) is greater than that determined for ATL (1377 mg L−1). Therefore, it seems that the magnitude of the antagonist effect is greater when the toxicity difference between the pollutant and sodium sulfate is larger.

3.4. Ecotoxicity of solutions after applying electrochemical oxidation

Table 2 contains the ecotoxicity results generated with the Vibrio fisheri assay after applying an electrochemical oxidation process to a solution contaminated with ATL and containing Na2SO4. As can be seen, both initial solutions are non-toxic towards Vibrio fischeri. When working with the one-compartment reactor, samples remain non-toxic regardless of the anode material and the applied current. Therefore, using the Vibrio fischeri test, possible small differences in toxicity cannot be detected, since all the values are equal to 0 TU. However, when working with the two-compartment reactor, almost all solutions show a certain level of toxicity, although they can be considered non-toxic because the values are less than 10 TU [31,32]. Despite these toxicity values are very similar, they seem to increase slightly when the applied current increases and when the BDD electrode is used.

Table 2.

Ecotoxicity analysis (Vibrio fischeri test), degradation and mineralization degrees, and persulfates concentration, of solutions containing 100 mg L−1 of ATL and 2 or 14 g L−1 of Na2SO4 treated by electrooxidation in both, a one-compartment and a two-compartment reactor, respectively.

Reactor type Anode material Applied current (A) Degradation degree ([ATL]/[ATL]0) Mineralization degree (TOC/TOC0) Persulfates concentration (ppm) Toxicity EC50 (TU)
Initial solution 1.000 1.000 0 0
One-compartment reactor BDD 0.4 0.045 0.230 96 0
0.6 0.000 0.070 115 0
1.0 0.000 0.060 153 0
Ceramic 0.4 0.095 0.395 0 0
0.6 0.000 0.311 0 0
1.0 0.000 0.180 10 0
Two-compartment reactor BDD 0.4 0.000 0.092 672 3
0.6 0.000 0.000 870 3
1.0 0.000 0.000 1305 4
Ceramic 0.4 0.050 0.363 60 0
0.6 0.000 0.116 240 3
1.0 0.000 0.171 1017 3

To explain these toxicity results, Table 2 also shows the final values of ATL degradation ([ATL]/[ATL]0) and mineralization (TOC/TOC0) achieved. As can be seen, in most of the experiments, ATL is completely degraded; but not completely mineralized. A possible hypothesis would be that the toxicity of the final solutions could be attributed to the intermediate organic products formed during the electrooxidation process. Nevertheless, this hypothesis is rejected because the samples for which complete mineralization has been achieved, present a certain degree of toxicity; while the toxicity value for some solutions without complete mineralization is equal to zero.

The total oxidation of ATL takes place according to Ref. [20]:

C14H22N2O3 + 25 H20 → 14 CO2 + 2 NH4+ + 64 H+ + 66 e (5)

As shown in Equation (5), ammonium is produced during the mineralization of ATL. The EC50(48 h) value of ammonium sulfate for Daphnia magna is 121.7 mg L−1 [33], and the corresponding EC50(48 h) value of ATL is 313 mg L−1 [28]. Consequently, the molar EC50(48 h) ratio between ATL and ammonium sulfate is approximately equal to 1:1, i.e., 1 mol of ATL provides the same toxicity degree to a solution as 1 mol of ammonium sulfate. Supposing a complete oxidation of ATL in accordance with Equation (5), the molar ratio of these compounds is 1:1, so for each mol of ATL 1 mol of ammonium sulfate is generated. Therefore, the increase in toxicity of the final solutions cannot be attributed to the ammonium formation. However, ammonium can be oxidized to nitrite and nitrate with a molar ratio equal to 1:1:1 (NH4+:NO2:NO3). The EC50(48 h) values of sodium nitrite and sodium nitrate for Daphnia magna are 15.4 mg L−1 [34] and 3581 mg L−1 [35], respectively. According to these values, if ammonium is oxidized to nitrite, the toxicity of the solution will increase; but if ammonium is completely oxidized to nitrate, the toxicity of the sample will decrease. Table 2 shows that when the two-compartment reactor is used with the BDD electrode, complete mineralization of ATL is achieved; however, for these experimental conditions with greater oxidizing power the toxicity values of the final samples are higher. This observation rules out the ammonium hypothesis.

In the electrochemical experiments, sulfates can be oxidized to persulfates according to the following reaction:

2 SO4= → S2O8= + 2 e (6)

Sodium persulfate has an EC50(48 h) value for Daphnia magna equal to 133 mg L−1 [36], being much more toxic than sodium sulfate with a corresponding value of 2564 mg L−1 [30]. From these values, 1 mol of sodium sulfate provides the same toxicity degree to a solution as 0.03 mol of sodium persulfate. According to Equation (6), for each mol of sodium sulfate 0.5 mol of sodium persulfate is generated. Therefore, the toxicity increase of the final samples may be attributed to persulfate formation. To verify this hypothesis, persulfates were quantified in the final samples, and Table 2 contains the results. As can be seen, the persulfate concentration in the final sample increases with the operation current, and is larger when a BDD electrode is used, and with the two-compartment reactor. This fact agrees with the mineralization degree achieved and with the final toxicity values. Other authors [[37], [38], [39]] also observed the persulfate formation from supporting electrolytes containing sulfates when they applied an electrochemical oxidation process.

As previously stated, for the one-compartment reactor, no differences in the toxicity values towards Vibrio fischeri could be observed as a function of the current applied or the anode material; and neither between the treated samples and the initial solution. For this reason, the toxicity towards Lactuca sativa of these samples was also analyzed and the results are shown in Fig. 6. As can be seen, the initial solution and practically all the treated samples can be considered non-toxic towards Lactuca sativa. The statistical analysis supports this statement because no significant difference, with a 95% confidence level, in the root elongation means between the solutions and the control is observed. However, a rise in the toxicity of the treated samples is noticed with respect to the initial solution after the electrooxidation. Thus, the Lactuca sativa test shows greater sensitivity for small toxicity values than the Vibrio fischeri test. In addition, in general, the toxicity values seem to increase slightly when the applied current increases, the same as was observed with the Vibrio fischeri assay for the two-compartment reactor. This observation shows a strong correlation with the measured persulfate concentration (see Table 2). However, the toxicity of the samples does not seem to increase when the BDD electrode is used; actually, it seems somewhat higher when the ceramic electrode is used. Table 2 shows that the experiments carried out with the one-compartment reactor and with the ceramic electrode are those that reach the lowest mineralization degree for ATL. Therefore, since the oxidation is not complete, the toxicity of these samples may be due to the nitrites formation instead of the persulfates formation, in fact, the concentration of persulfates is null for these samples. It seems that the oxidation mechanism, and hence the by-products formed, depends largely on the anode material used, and consequently affects the final toxicity values.

Fig. 6.

Fig. 6

Toxicity towards Lactuca sativa of samples which contain 100 mg L−1 of ATL and 2 g L−1 of Na2SO4 and treated by electrooxidation in a one-compartment reactor. Error bars indicate the standard deviation of four repetitions; red points (•) indicate statistically significant difference from the negative control (distilled water) for a confidence level of 95%, and white points (ο) indicate statistically significant difference from 0 mg L−1 ATL for a confidence level of 95%. The dashed line defines the limit to consider that a sample is toxic. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

In summary, the aim of an electrooxidation process must not only be to reach a great degradation and mineralization degrees of the pollutant, but also to minimize the generation of intermediate compounds that can augment the toxicity of the final effluent. For this reason, both, the operation parameters and the concentration of the supporting electrolyte must be selected appropriately. All the experimental conditions applied in this work provide a final solution that is considered non-toxic towards Vibrio fischeri; and, with the one-compartment reactor, practically all the treated solutions are also considered non-toxic towards Lactuca sativa. However, only two experiments allowed total degradation and mineralization of ATL. Among them, the minimum final toxicity was achieved using a two-compartment reactor, operating at 0.6 A with a BDD anode. Similar mineralization degree and toxicity results were achieved with an operation current of 0.4 A, thereby decreasing the energy consumption; or working with the same current intensity but using the one-compartment reactor, obtaining in this case a lower final toxicity.

4. Conclusions

In this work, Atenolol (ATL) ecotoxicity towards Lactuca sativa was analyzed, obtaining an EC50(5 days) value equal to 1377 mg L−1. When Na2SO4 was added, the toxicity of the solution increased. Specifically, with 2 g L−1 Na2SO4, ATL showed an EC50(5 days) of 972 mg L−1; and with 4 g L−1 Na2SO4 and higher concentrations, EC50 value for ATL was 0 mg L−1. Statistical tools have been applied to build a black box model, which was used to determine the Pareto toxic boundary, i.e., the zones of the [ATL]-[Na2SO4] plane which are toxic towards Lactuca sativa. Although the presence of Na2SO4 increases ATL ecotoxicity, no synergy was observed between both compounds; but quite the opposite, an antagonistic effect between them on toxicity has been observed for the lowest concentration of Na2SO4 (2 g L−1). However, this effect loses importance as the concentration of Na2SO4 rises and a simple additive effect was finally observed for the greatest concentration of Na2SO4 (6 g L−1).

In addition, the toxicity of a solution that contains ATL and Na2SO4 was analyzed after employing an electrochemical oxidation process. The ecotoxicity of the treated sample increased in every operation condition assessed in this study. This fact is principally attributed to the persulfate generation by sulfate electrooxidation. Nevertheless, none of the final samples were considered toxic towards Vibrio fischeri because ecotoxicity values were lower than 10 TU; and, in the case of the one-compartment reactor, practically all of them were also non-toxic towards Lactuca sativa. The toxicity of the treated solutions increased when using a two-compartment reactor separated by a cation exchange membrane and the BDD anode, and when the operation current was increased. This is attributed to the highest formation of persulfates.

With an electrooxidation process, a great degradation and mineralization degrees of the pollutant must be reached, but the generation of intermediate compounds that can augment the toxicity of the final effluent must be minimized too. Amongst all the tests performed in this study that accomplished total degradation and mineralization of ATL, the lowest toxicity value (i.e., 3 TU) was reached with the two-compartment reactor operating at 0.6 A with the BDD anode.

Data availability statement

The data that support the results presented in this work are available from the corresponding author, upon reasonable demand.

Ethics declarations

Review and/or approval by an ethics committee, nor informed consent, was not required for this work.

Additional information

No additional information is available for this paper.

CRediT authorship contribution statement

M.T. Montañés: Writing – original draft, Validation, Supervision, Formal analysis, Conceptualization. M. García-Gabaldón: Writing – review & editing, Supervision, Methodology. J.J. Giner-Sanz: Writing – review & editing, Validation, Software. J. Mora-Gómez: Writing – review & editing, Methodology. V. Pérez-Herranz: Resources, Project administration, Funding acquisition.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

The authors express their gratitude to the Generalitat Valenciana (GVA-THINKINAZUL/2021/013 Project) and to the Next Generation EU (European Union NextGenerationEU/PRTR) for the financial aid received. J.J.G.S. thanks the Ministerio de Ciencia e Innovación, the Next Generation EU, and the Agencia Estatal de Investigación, for their support through a Juan de la Cierva-Incorporación fellowship (IJC2020-044087-I) funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR.

References

  • 1.Heberer T. Occurrence, fate, and removal of pharmaceutical residues in the aquatic environment: a review of recent research data. Toxicol. Lett. 2002;131:5–17. doi: 10.1016/S0378-4274(02)00041-3. [DOI] [PubMed] [Google Scholar]
  • 2.Kümmerer K. The presence of pharmaceuticals in the environment due to human use – present knowledge and future challenges. J. Environ. Manag. 2009;90:2354–2366. doi: 10.1016/J.JENVMAN.2009.01.023. [DOI] [PubMed] [Google Scholar]
  • 3.Christen V., Hickmann S., Rechenberg B., Fent K. Highly active human pharmaceuticals in aquatic systems: a concept for their identification based on their mode of action. Aquat. Toxicol. 2010;96:167–181. doi: 10.1016/J.AQUATOX.2009.11.021. [DOI] [PubMed] [Google Scholar]
  • 4.Verlicchi P., Al Aukidy M., Zambello E. Occurrence of pharmaceutical compounds in urban wastewater: removal, mass load and environmental risk after a secondary treatment—a review. Sci. Total Environ. 2012;429:123–155. doi: 10.1016/j.scitotenv.2012.04.028. [DOI] [PubMed] [Google Scholar]
  • 5.Diniz M.S., Salgado R., Pereira V.J., Carvalho G., Oehmen A., Reis M.A.M., Noronha J.P. Ecotoxicity of ketoprofen, diclofenac, atenolol and their photolysis byproducts in zebrafish (Danio rerio) Sci. Total Environ. 2015;505:282–289. doi: 10.1016/j.scitotenv.2014.09.103. [DOI] [PubMed] [Google Scholar]
  • 6.Godoy A.A., Kummrow F., Pamplin P.A.Z. Occurrence, ecotoxicological effects and risk assessment of antihypertensive pharmaceutical residues in the aquatic environment - a review. Chemosphere. 2015;138:281–291. doi: 10.1016/j.chemosphere.2015.06.024. [DOI] [PubMed] [Google Scholar]
  • 7.Maszkowska J., Stolte S., Kumirska J., Łukaszewicz P., Mioduszewska K., Puckowski A., Caban M., Wagil M., Stepnowski P., Białk-Bielińska A. Beta-blockers in the environment: Part I. Mobility and hydrolysis study. Sci. Total Environ. 2014;493:1112–1121. doi: 10.1016/j.scitotenv.2014.06.023. [DOI] [PubMed] [Google Scholar]
  • 8.Maurer M., Escher B.I., Richle P., Schaffner C., Alder A.C. Elimination of β-blockers in sewage treatment plants. Water Res. 2007;41:1614–1622. doi: 10.1016/j.watres.2007.01.004. [DOI] [PubMed] [Google Scholar]
  • 9.Xiao J., Xie Y., Cao H. Organic pollutants removal in wastewater by heterogeneous photocatalytic ozonation. Chemosphere. 2015;121:1–17. doi: 10.1016/J.CHEMOSPHERE.2014.10.072. [DOI] [PubMed] [Google Scholar]
  • 10.Garcia-Segura S., Ocon J.D., Chong M.N. Electrochemical oxidation remediation of real wastewater effluents — a review. Process Saf. Environ. Protect. 2018;113:48–67. doi: 10.1016/J.PSEP.2017.09.014. [DOI] [Google Scholar]
  • 11.Bashir Y., Raj R., Ghangrekar M.M., Nema A.K., Das S. Critical assessment of advanced oxidation processes and bio-electrochemical integrated systems for remediating emerging contaminants from wastewater. RSC Sustain. 2023:1912–1931. doi: 10.1039/d3su00112a. [DOI] [Google Scholar]
  • 12.Jojoa-Sierra S.D., Silva-Agredo J., Herrera-Calderon E., Torres-Palma R.A. Elimination of the antibiotic norfloxacin in municipal wastewater, urine and seawater by electrochemical oxidation on IrO 2 anodes. Sci. Total Environ. 2017;575:1228–1238. doi: 10.1016/j.scitotenv.2016.09.201. [DOI] [PubMed] [Google Scholar]
  • 13.Mora-Gomez J., Ortega E., Mestre S., Pérez-Herranz V., García-Gabaldón M. Electrochemical degradation of norfloxacin using BDD and new Sb-doped SnO2 ceramic anodes in an electrochemical reactor in the presence and absence of a cation-exchange membrane. Sep. Purif. Technol. 2019;208:68–75. doi: 10.1016/j.seppur.2018.05.017. [DOI] [Google Scholar]
  • 14.Jiang H., Chen H., Wei K., Liu L., Sun M., Zhou M. Comprehensive analysis of research trends and prospects in electrochemical advanced oxidation processes (EAOPs) for wastewater treatment. Chemosphere. 2023;341 doi: 10.1016/j.chemosphere.2023.140083. [DOI] [PubMed] [Google Scholar]
  • 15.Priac A., Badot P.M., Crini G. Évaluation de la phytotoxicité d’eaux de rejets via Lactuca sativa: paramètres des tests de germination et d’élongation. Comptes Rendus Biol. 2017;340:188–194. doi: 10.1016/j.crvi.2017.01.002. [DOI] [PubMed] [Google Scholar]
  • 16.Banks M.K., Schultz K.E. Comparison of plants for germination toxicity tests in petroleum- contaminated soils, Water. Air. Soil Pollut. 2005;167:211–219. doi: 10.1007/s11270-005-8553-4. [DOI] [Google Scholar]
  • 17.Rizzo L. Bioassays as a tool for evaluating advanced oxidation processes in water and wastewater treatment. Water Res. 2011;45:4311–4340. doi: 10.1016/J.WATRES.2011.05.035. [DOI] [PubMed] [Google Scholar]
  • 18.Seibert D., Zorzo C.F., Borba F.H., de Souza R.M., Quesada H.B., Bergamasco R., Baptista A.T., Inticher J.J. Occurrence, statutory guideline values and removal of contaminants of emerging concern by Electrochemical Advanced Oxidation Processes: a review. Sci. Total Environ. 2020;748 doi: 10.1016/j.scitotenv.2020.141527. [DOI] [PubMed] [Google Scholar]
  • 19.Mora-Gómez J., García-Gabaldón M., Ortega E., Sánchez-Rivera M.-J., Mestre S., Pérez-Herranz V. Evaluation of new ceramic electrodes based on Sb-doped SnO2 for the removal of emerging compounds present in wastewater. Ceram. Int. 2018;44:2216–2222. doi: 10.1016/J.CERAMINT.2017.10.178. [DOI] [Google Scholar]
  • 20.Mora-Gómez J., García-Gabaldón M., Carrillo-Abad J., Montañés M.T., Mestre S., Pérez-Herranz V. Influence of the reactor configuration and the supporting electrolyte concentration on the electrochemical oxidation of Atenolol using BDD and SnO2 ceramic electrodes. Sep. Purif. Technol. 2020;241 doi: 10.1016/j.seppur.2020.116684. [DOI] [Google Scholar]
  • 21.de Oliveira G.A.R., Leme D.M., de Lapuente J., Brito L.B., Porredón C., Rodrigues L. de B., Brull N., Serret J.T., Borràs M., Disner G.R., Cestari M.M., de Oliveira D.P. A test battery for assessing the ecotoxic effects of textile dyes. Chem. Biol. Interact. 2018;291:171–179. doi: 10.1016/J.CBI.2018.06.026. [DOI] [PubMed] [Google Scholar]
  • 22.Shapiro S.S., Wilk M.B. An analysis of variance test for normality (complete samples) Biometrika. 1965;52:591–611. https://pdfs.semanticscholar.org/1f1d/9a7151d52c2e26d35690dbc7ae8098beee22.pdf [Google Scholar]
  • 23.Mao F., He Y., Gin K. Evaluating the joint toxicity of two benzophenone-type UV filters on the green alga chlamydomonas reinhardtii with response surface methodology. Toxics. 2018;6:8. doi: 10.3390/toxics6010008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Montgomery D.C. John Wiley & Sons; 2017. Design and Analysis of Experiments. [Google Scholar]
  • 25.Montañés M.T., García-Gabaldón M., Roca-Pérez L., Giner-Sanz J.J., Mora-Gómez J., Pérez-Herranz V. Analysis of norfloxacin ecotoxicity and the relation with its degradation by means of electrochemical oxidation using different anodes. Ecotoxicol. Environ. Saf. 2020;188 doi: 10.1016/j.ecoenv.2019.109923. [DOI] [PubMed] [Google Scholar]
  • 26.Davies T.D. Sulphate toxicity to the aquatic moss, Fontinalis antipyretica. Chemosphere. 2007;66:444–451. doi: 10.1016/j.chemosphere.2006.06.021. [DOI] [PubMed] [Google Scholar]
  • 27.Mera R., Torres E., Abalde J. Isobolographic analysis of the interaction between cadmium (II) and sodium sulphate: toxicological consequences. Environ. Sci. Pollut. Res. 2016;23:2264–2278. doi: 10.1007/s11356-015-5909-1. [DOI] [PubMed] [Google Scholar]
  • 28.Cleuvers M. Initial risk assessment for three β-blockers found in the aquatic environment. Chemosphere. 2005;59:199–205. doi: 10.1016/J.CHEMOSPHERE.2004.11.090. [DOI] [PubMed] [Google Scholar]
  • 29.Hernando M.D., Petrovic M., Fernández-Alba A.R., Barceló D. Analysis by liquid chromatography–electrospray ionization tandem mass spectrometry and acute toxicity evaluation for β-blockers and lipid-regulating agents in wastewater samples. J. Chromatogr., A. 2004;1046:133–140. doi: 10.1016/J.CHROMA.2004.06.102. [DOI] [PubMed] [Google Scholar]
  • 30.Merck Ficha de seguridad de sulfato de sodio anhidro. 2012:1–8. [Google Scholar]
  • 31.Boluda R., Quintanilla J.F., Bonilla J.A., Sáez E., Gamón M. Application of the Microtox® test and pollution indices to the study of water toxicity in the Albufera Natural Park (Valencia, Spain) Chemosphere. 2002;46:355–369. doi: 10.1016/S0045-6535(01)00092-3. [DOI] [PubMed] [Google Scholar]
  • 32.Seco J.I., Fernández-Pereira C., Vale J. A study of the leachate toxicity of metal-containing solid wastes using Daphnia magna. Ecotoxicol. Environ. Saf. 2003;56:339–350. doi: 10.1016/S0147-6513(03)00102-7. [DOI] [PubMed] [Google Scholar]
  • 33.Merck S.L. 2023. Ficha de datos de seguridad Sulfato de amonio, Sigma-Aldrich; pp. 1–9. [Google Scholar]
  • 34.Merck S.L. Ficha de datos de seguridad SODIO NITRITO. Sigma-Aldrich. 2022:1–11. [Google Scholar]
  • 35.Merck S.L. 2023. Ficha de datos de seguridad Nitrato de Sodio, Sigma-Aldrich; pp. 1–12. [Google Scholar]
  • 36.Thermofischer Ficha de datos de seguridad Sodium Persulfate. Fish. Sci. UK. 2021:1–12. https://hybris-static-assets-production.s3-eu-west-1.amazonaws.com/sys-master/pdfs/h96/hc3/9673630253086/EN_ST-WB-MSDS-2601489-1-1-1.PDF [Google Scholar]
  • 37.Davis J., Baygents J.C., Farrell J. Understanding persulfate production at boron doped diamond film anodes. Electrochim. Acta. 2014;150:68–74. doi: 10.1016/j.electacta.2014.10.104. [DOI] [Google Scholar]
  • 38.Barreto J.P.d.P., Araujo K.C.d.F., de Araujo D.M., Martinez-Huitle C.A. Effect of sp3/sp2 ratio on boron doped diamond films for producing persulfate. ECS Electrochem. Lett. 2015;4 doi: 10.1149/2.0061512eel. E9–E11. [DOI] [Google Scholar]
  • 39.da Silva S.W., Ortega E.M., Rodrigues M.A.S., Bernardes A.M., Pérez-Herranz V. Using p-Si/BDD anode for the electrochemical oxidation of norfloxacin. J. Electroanal. Chem. 2019;832:112–120. doi: 10.1016/j.jelechem.2018.10.049. [DOI] [Google Scholar]

Associated Data

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Data Availability Statement

The data that support the results presented in this work are available from the corresponding author, upon reasonable demand.


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