Introduction

The increasing worldwide contamination of water systems caused by industrial development, climate change, population growth and over-consumption is one of the crucial environmental problems humanity is facing. Thousands of organic compounds which are often present in water at low concentrations (typically ng L−1 or µg L−1)1 have become of significant concern, as they have been recognized as a major risk for humans, wildlife, and environment2,3,4. These contaminants of emerging concern are essentially pharmaceuticals, personal care products, steroid hormones, surfactants, industrial chemicals and pesticides, and their abatement cannot be achieved by the conventional physicochemical and biological treatments5,6,7,8.

In this context, alternative treatments have been proposed for polluted wastewater streams. Among them, membrane filtration and advanced oxidation are gaining increasing attention, as they are highly effective in removing organic pollutants from water systems. Pressure-driven membrane filtration methods, such as nanofiltration and reverse osmosis, are well-established9,10,11, but fouling and creation of toxic concentrates remain major drawbacks12,13. On the other hand, advanced oxidation processes14,15,16, which are based on the generation of reactive oxygen species, offer the advantage of ideally mineralizing recalcitrant organic pollutants instead of simply concentrating them in the retentate. However, these processes often require substantial energy and/or chemical input, and their efficiency is limited by the high dilution of the micropollutants and by the non-toxic natural organic matter, which is typically present at high concentrations in wastewater and acts as radical scavenging17. The synergistic integration of advanced oxidation and membrane filtration can bring obvious benefits, because one method complements the advantages and overcomes the challenges of the other. For instance, nanofiltration has been proposed in combination with Fenton18, photo-Fenton19,20, and photocatalysis21,22 to concentrate pollutants, thus improving degradation kinetics, while organics in the concentrate stream are fully mineralized. However, integrated photocatalytic-membrane systems are still complex and expensive for an implementation on a real scale, since they need to be activated by exposure to light with proper wavelength23. Therefore, their application cannot be extended to the existing wastewater treatment plants, which require technologies with low investment costs, low-energy consumption, high water productivity, and easy operation24.

Here we present a novel process for simultaneous membrane distillation (MD) and thermocatalytic destruction of a model organic pollutant in the concentrate stream. This novel process is based on the integration of two emerging technologies for water treatment, namely membrane distillation and advanced oxidation by a thermocatalytic perovskite. In MD, a vapor pressure gradient is established between the hot feed side and the cold permeate side, which are divided by a porous hydrophobic membrane. Consequently, part of the feed vaporizes through the hydrophobic membrane and condenses at the permeate side, while dissolved salts and pollutants are retained. MD operates at much lower hydrostatic pressure than nanofiltration and reverse osmosis, thus allowing for simpler and cheaper filtration modules. In addition, permeability and selectivity of MD membranes are negligibly affected by osmotic pressure and fouling25,26. Regarding the advanced oxidation process, certain types of perovskites have been shown to interact with water and dissolved molecular oxygen to form reactive oxygen radicals, which can degrade organic pollutants27. Thermocatalytic perovskites have no need for addition of chemicals or light sources and therefore they demonstrate advantages over the other advanced oxidation processes in terms of energy saving and simplicity of operation. For instance, strontium ferrate (SrFeO3−δ) could achieve 83% mineralization of the endocrine distruptor bisphenol A (BPA) in 24 h, and full decoloration of the organic dye acid orange 8 in 60 min28. The redox-active cubic structure of strontium ferrate can be stabilized by cerium-doping29,30. Thus, Tummino et al.31 used Sr0.85Ce0.15FeO3-δ (cerium-doped strontium ferrate, CSF) to fully mineralize the organic dye acid orange 7 at temperatures ranging from 55 to 80 °C in few hours, in the dark and without adding chemicals. In our work, CSF was combined with MD to simultaneously degrade BPA while recovering distilled water. BPA was chosen as a model compound, because it is a common micropollutant32 with a well-documented endocrine-disrupting activity and toxicity33. In this work, we heated the water contaminated by BPA at mild temperatures (30–65 °C) to facilitate the degradation process by CSF and to drive steam through a hollow fiber polypropylene MD membrane, simultaneously. The membrane retained both pollutant and thermocatalyst while producing distilled water, thus improving the degradation kinetics and allowing the thermocatalyst to be reused for several degradation cycles.

In a general perspective, thermocatalytic MD represents a new method for obtaining high purity distillate from contaminated waters, while also reducing the toxicity posed by organic compounds in the concentrate stream. The process design is simple, because it does not require high pressure, external light sources, or additional chemicals, and to the extent that MD is commercially scalable as a water treatment technology, so should be thermocatalytic MD. The process can be easily operated, because heat drives both thermocatalytic degradation of the pollutants and the permeation of distilled water through the membrane. Although part of this thermal energy is lost along the membrane module, energy costs can be compensated by using alternative heating sources, such as solar, geothermal, or low-grade waste heat from process streams34,35. Moreover, thermocatalytic MD can be applied to hot streams of polluted water generated by the chemical and the petrochemical industry.

Results

Thermocatalytic abatement of micropollutants

Thermocatalytic CSF was prepared by solution-combustion synthesis29,31, because this method can yield perovskites with well-defined properties36. SEM analysis (Fig. 1a) shows that our thermocatalytic powder consists of flakes with lateral dimension ranging from 1 to 30 µm and thickness smaller than 0.2 µm, as reported previously for CSF synthetized with the same method31. Such type of particles can easily be retained by membranes for microfiltration and MD. In addition, light scattering analysis revealed that when dispersed in water these particles tend to form aggregates with sizes of several microns, which makes it easy to recover them during filtration (Supplementary Fig. 1). The CSF particles also show a large density of macropores, which were presumably formed by gas-release during the combustion in the synthesis process.36 The specific surface area of the material is 25 m2 g−1, as measured by nitrogen adsorption (Supplementary Fig. 2). EDS analysis indicates a Ce:Fe atomic ratio of 0.15:1, confirming the cerium loading expected from the stoichiometry of the precursors’ solution used for the synthesis. Figure 1b reports the X-ray diffractogram of CSF, which indicates that all the cerium ions have been incorporated in one crystal phase with cubic structure (Pm-3m). Particle size and shape, composition, porosity and crystal structure well match the Sr0.85Ce0.15FeO3−δ perovskite previously reported by using the same preparation methodology29,31, demonstrating the high reproducibility of the synthesis method.

Fig. 1: Thermocatalytic abatement of micropollutants by cubic strontium ferrates.
figure 1

a SEM micrographs of Sr0.85Ce0.15FeO3−δ (CSF) after calcination at 1000 °C and b the correspondent X-ray diffractogram. The image of the cubic perovskite structure as calculated by Rietveld refinement of the diffraction data is depicted in the right-up corner (the iron octahedral site of the Sr0.85Ce0.15FeO3−δ perovskite is highlighted, whereas the orange, red, yellow, and blue spheres indicate iron, strontium, cerium, and oxygen atoms, respectively); c influence of temperature on the degradation of bisphenol A (initial concentration c0 = 10 mg L−1) by Sr0.85Ce0.15FeO3−δ (0.50 g L−1) and correspondent apparent rate constants, k (L g−1 h−1); d temperature-dependence of kinetic constants for the abatement of model micropollutants by cubic strontium ferrates: bisphenol A (BPA), acid orange 7 (AO7), acid orange 8 (AO8), and acetamiprid (AAP).

The ability of the CSF to degrade BPA was investigated in temperatures ranging from 30 to 65 °C and thermocatalyst concentrations (CCSF) between 0.15 and 1.0 g L−1. Figure 1c shows the data obtained for the tests with CCSF = 0.50 g L−1. It was observed that CSF is highly active in the degradation of the BPA. Literature suggests that CSF can generate oxygen reactive species28,31, but more investigation is required to determine the degradation mechanism. The BPA degradation process follows an apparent first-order kinetic with respect to catalyst and BPA concentrations. The rate constants are plotted as a function of the temperature in Fig. 1d. The observed degradation rate constant can be expressed according to following equation:

$$k = a \cdot C_{\mathrm {{SCF}}} \cdot \exp \left( { - \frac{{E_{\mathrm {a}}}}{{R \cdot T}}} \right)$$
(1)

In our BPA degradation experiments the frequency constant (a) and the apparent activation energy (Ea) resulted to be (1.6 ± 0.1) × 1010 L g−1 h−1 and 63 ± 4 kJ mol−1, respectively.

We determined BPA abatement rate constants with a trend consistent with the results that Leiw et al.28 obtained with cubic strontium ferrate (SrFeO3−δ): i.e. k = 0.13 L g−1 h−1, at room temperature. Moreover, cubic strontium ferrates have also proven their activity in the degradation of other model micropollutants, as shown in Fig. 1d. Leiw et al.28 reported the ability of cubic SrFeO3−δ to degrade the organic dye Acid Orange 8 at room temperature, after one day exposure (at room temperature k = 0.11 L g−1 h−1). Tummino et al.31 performed a kinetic study of the degradation of Acid Orange 7 with CSF, determining an activation energy of 52 kJ mol−1. Moreover, our CSF was able to degrade the pesticide Acetamiprid at a rate similar to the other pollutants (k = 0.13 L g−1 h−1 at 60 °C).

Water purification by MD

In this work, we tested BPA degradation by CSF during filtration in a direct-contact MD apparatus, whose scheme is depicted in Fig. 2a. The hollow fiber membrane module used for our tests is shown in Fig. 2b. The module can function either by pumping the feed inside the hollow fibers and the permeate on the shell side or vice versa. However, when the feed solution flowed through the hollow fibers, the CSF powder clogged them after few hours of filtration. Therefore, all our tests were run with the feed solution flowing outside the hollow fibers, i.e. at the shell side. The rate of permeation of water through the membrane (JW) was investigated at various feed temperatures and cross-flow velocities, while no pressure gradient was applied across the walls of the hollow fibers. On the contrary, a temperature gradient was established between the feed and the permeate side. However, this temperature gradient is not constant along the membrane module. Indeed, the feed temperature drops while flowing in the module due to two main factors: (i) the vaporization of water through the membrane pores and (ii) the convective heat transfer via the membrane walls. This drop in temperature (TF2TF1) can be reduced by increasing the cross-flow velocity (Fig. 2c). For instance, by setting TF1 to 54.0 °C, the feed temperature after leaving the module (TF2) is 40.0 and 48.4 °C for cross-flow velocities of 0.028 and 0.078 m s−1, respectively. In general, high cross-flow velocities are beneficial to preserve a water vapor pressure gradient across the membrane by reducing temperature drop from inlet to outlet of the filtration module and by mitigating temperature polarization at the membrane surface37,38,39,40,41,42,43,44,45. This results in higher water permeation rates (Fig. 2d). We observed no significant differences of water permeation rates in the experiments performed in the presence or in the absence of CSF powder (Supplementary Fig. 3) and our water fluxes are comparable with those reported in literature with the same membrane modules46, suggesting that the CSF powder remains suspended in the solution feed and no cake layer is formed on the membrane surface. Based on these data, we developed an empirical model, which describes the temperature dependency of permeate flux. For instance, at a cross velocity of 0.047 m s−1, permeate flux can be described by Eq. (2) (correlation coefficient with experimental data R2 = 0.991), where ΔT represents the temperature difference [K] between the water in the feed beaker and the water in the permeate beaker.

$$J_{\mathrm {W}} = 0.0022 \cdot \Delta T^{1.687}$$
(2)
Fig. 2: Production of clean water by membrane distillation.
figure 2

a Scheme of the membrane distillation (MD) apparatus used in our experiments. The membrane module b consists of 40 porous polypropylene hollow fibers (length: 500 mm, inner diameter: 1.8 mm, wall thickness: 120 µm, and pore size: 0.2 µm). c The section of two membrane modules after being used with the correct flow configuration (feed OUT) and after being clogged by CSF particles (feed IN). TP2 was kept constant at 17 °C in all the experiments, while TF1 and the cross-flow velocity were varied. The cross-flow velocity has an impact on c the drop of the feed temperature along the module and therefore d on the rate of water permeation through the membrane. In the plots, lines represent modeled values whereas bullets are measured values.

Hence, by combining Eq. (1) and permeation data, we constructed a simple model for designing thermocatalytic MD for BPA abatement in our apparatus. A detailed description of this model is given in the Supplementary Information.

BPA abatement by thermocatalytic MD

The use of CSF in the MD apparatus (Fig. 2a) for simultaneous BPA abatement and clean water production is here evaluated. The experimental procedure was the following: at first, 1.80 L of a feed solution containing BPA (C0 = 10 mg L−1) in deionized water was heated and kept at 65 °C. In the permeate reservoir, 0.50 L of distilled water was cooled by a water bath at 17 °C. The membrane cross-flow velocity was set to 20 L h−1 on both feed and permeate sides. Once the target temperatures were reached in both feed and permeate reservoirs, 1.8 g of CSF powder was added at once to the feed. The amount of water permeated through the membrane during the experiment was measured by a scale under the permeate beaker. Samples were taken at regular time intervals and analyzed by HPLC to determine BPA concentrations in the feed and in the permeate. After running the thermocatalytic distillation for 3 h, a new cycle was started. Thus, the required amounts of distilled water and BPA was added to the feed in order to reestablish the initial feed volume (1.80 L) and the BPA concentration (10 mg L−1).

Figure 3a shows the relative concentration of BPA (C/C0) plotted as a function of time over four consecutive runs. The membrane showed good retention of BPA along all the experiments, since the concentration of BPA in the permeate was always below the detection limit (0.05 mg L−1 in our analytical method, implying a BPA retention >99.5% at the start of each run). Such resistance to wetting for this membrane module is consistent with our previous results46,47. CSF was added at the feed side only at the beginning of the first run. Experimental data in the third and fourth runs fits well to our thermocatalytic MD model, while the observed degradation rates in the first and second runs were faster than expected. This discrepancy is probably caused by the fact that, at the beginning, all the CSF powder is dispersed in the water inside the feed beaker, which has a temperature of 65 °C. Then, part of the CSF powder migrates together with the feed solution inside the membrane module, where the average temperature of the water at the shell side is about 45 °C, as we have discussed already, thus reducing the degradation rate of BPA. Our model takes into account this temperature drop in the membrane modules, but our apparatus reaches steady-state only after a few hours of operation, that is, from the third run in Fig. 3a. We performed a control experiment in the absence of CSF, observing an increase in BPA concentration at the feed side during filtration (Supplementary Fig. 4). Furthermore, as already mentioned, the presence of the thermocatalyst does not affect the production rate of distilled water through our membrane and in Fig. 3b we can observe that the permeate production (JW) was constant during the whole filtration experiment. Indeed, the linear fitting of all the experimental data points allowed to calculate JW = 1.60 ± 0.03 L h−1 m−2 (R2 = 0.9997). Moreover, our model can well predict the water permeation rate under these experimental conditions: JW = 1.62 L h−1 m−2, according to Eq. (2).

Fig. 3: Simultaneous degradation of BPA and production of distilled water by thermocatalytic membrane distillation with Sr0.85Ce0.15FeO3−δ (CSF).
figure 3

a Concentration of BPA in the feed and in the permeate relatively to the starting BPA concentration in the feed tank, i.e. C0 = 10 mg L−1, during four consecutive runs of thermocatalytic distillation in our apparatus, green lines represents BPA concentration in the feed, as calculated by our catalytic membrane distillation model (Supplementary Information, p. 4); b distilled water produced by our apparatus during the four runs, the blue line indicates the volume of permeated water over the entire thermocatalytic distillation experiment, as calculated by Eq. (2).

The model was also used to investigate the impact of CSF loading and membrane area on the BPA abatement by thermocatalytic MD. Figure 4 reports our simulations. With no thermocatalytic perovskite (CSF) the BPA is concentrated during filtration. However, Fig. 4b shows that such increase in BPA concentration is avoided by adding 54 mg of CSF in the feed stream. Furthermore, 1.80 g of CSF allows achieving >99% pollutant degradation while producing 1 L of water. Figure 4b shows the time needed to reach 99% abatement of BPA in our apparatus at different feed temperatures in the range from 30 to 65 °C, supposing that the area of the distillation membrane could be varied progressively from 0 to about 1.5 m2. The blue line indicates the area at which, based on our simulation, the flow of distilled water through the membrane is faster than the rate of degradation, meaning that there is not enough time to reach 99% degradation before the feed beaker becomes empty. The graph makes evident the positive influence of larger membrane area on reducing the abatement time, explained by the membrane concentrating the pollutant during its abatement. The positive effect of the membrane is more pronounced at lower temperatures, where the degradation rates are slower. For instance, at 35 °C 99% BPA abatement is achieved in 9.2 h without membrane, while this time is reduced to 5 h by applying a membrane with area of 1 m2.

Fig. 4: Simulation of BPA abatement by the thermocatalytic membrane distillation.
figure 4

a BPA concentration in the feed as a function of the produced water at different CSF loadings (feed initial volume: 1.80 L, cross-flow velocity: 0.047 m s−1, and temperatures in the feed and permeate beakers: 65 and 15 °C, respectively); b time needed to reach 99% degradation of BPA (initial CBPA: 10 mg L−1, CSF loading: 1.80 g) vs. membrane area at different feed temperatures. The blue line indicates the membrane area above which the permeate flow is so high that 99% BPA abatement cannot be reached before draining all the water in the feed beaker.

Discussion

For the first time a thermocatalytic perovskite with formula Sr0.85Ce0.15FeO3−δ (CSF) was integrated in a MD unit. The new process was investigated in the degradation of BPA as a model water contaminant. A temperature-dependent catalytic behavior was confirmed for the CSF toward BPA degradation and its reusability was established up to four thermocatalytic distillation runs. In comparison with traditional pressure-driven filtration processes as nanofiltration and reverse osmosis, thermocatalytic MD offers the advantages of full BPA rejection, much lower operating pressure and, above all, the production of pure water without creating a toxic concentrate. Moreover, we proved that the combination of MD with CSF has advantages over the CSF batch catalysis. Indeed, the combined process is faster in the degradation of pollutants and it allows the recovery of the catalyst without additional steps, leading to higher clean water throughputs. Compared to photocatalytic membrane systems, the new process has no need of light irradiation and can be simply operated, as both MD and CSF are activated by heat. This is the first attempt to integrate MD with a thermocatalyst and the new technology still presents some challenges. Firstly, despite the kinetic constants for BPA degradation for CSF under dark conditions have the same magnitude of those observed for the traditional TiO2 photocatalysts under UV light48,49,50,51, our perovskite contains cerium, which makes it intrinsically more expensive than TiO2. Moreover, the perovskite was synthetized by the solution-combustion method, which is a well-established and reproducible lab-scale procedure. Nevertheless, industrial production of the perovskite would require scale-up optimization. Deganello et al. analyzed this issue and proposed some solutions in a recent review36. Second, thermocatalytic materials have been shown to be effective in the abatement of model water pollutants or specific water systems and for operation time not longer than a few days52, but the stability of their performances when treating wastewater effluents for several months (as in real applications) still needs to be explored. Third, MD apparatuses demand a substantial amount of thermal energy in order to heat and keep the temperature of the water at the feed side of the membrane, making MD economically viable only in the presence of cheap sources of heat. Despite these challenges, our experimental data allow for envisaging future optimization of the new process, e.g. by coupling MD modules with continuous stirred thank (Supplementary Information, p. 6) or with a fixed-bed thermocatalytic reactor in view of future applications with real water systems, for which the present literature26,28,52 supports the feasibility of our technology. Therefore, this work may open the way to a new technology of the treatment of wastewater streams, stimulating the development of thermocatalysts with high-stability and activity for the degradation of a broad spectrum of micropollutants in complex water matrixes, MD units with high water productivity and new design solutions for the integrated system.

Methods

CSF synthesis

1.80 g strontium (II) nitrate anhydrous (AVOCADO Research Chemicals Ltd, purity 99%), 4.04 g iron (III) nitrate nonahydrate (Sigma Aldrich, purity ≥98%) and 0.65 g cerium (III) nitrate hexahydrate (Sigma Aldrich, purity 99%) were dissolved in 200 mL of distillated water. Then, 7.68 g citric acid (Carl Roth, purity ≥99.5%) was added in order to reach a citric acid-to-metal cations ratio of 2, whereas the reducers-to-oxidizers ratio (Φ) was regulated at 1.5 through the addition of 9.25 g of ammonium nitrate (Sigma Aldrich, purity ≥99.5%) oxidant, according to the valence concepts based on propellant chemistry36. The pH of the solution was adjusted to 6.0 using ammonium hydroxide (Sigma Aldrich, 25 wt%), in order to favor citrate anions–metal cations complex formation, and the glass beaker was placed on the hot plate and kept at 80 °C for the evaporation of the water under continuous magnetic stirring. When a sticky gel was obtained, the hot plate was set at the maximum temperature (310 °C) in order to start the gel self-ignition. After the combustion, the as-burned powder was calcined at 1000 °C for 5 h with a heating rate of 5 °C min−1. After calcination, about 2 g of Sr0.85Ce0.15FeO3−δ powder was obtained.

CSF characterization

X-ray diffraction (XRD) measurements were performed on a PANanalytical Empyrean diffractometer, operating at 45 kV and 40 mA, with Cu Kα radiation (λ = 1.5418 Å). Sr0.85Ce0.15FeO3−δ was indexed in the Inorganic Crystal Structure Database (ICSD) under code #249012. CSF morphology was investigated by SEM analysis using a ZEISS EVO 50 XVP microscope with LaB6 source. The samples were mounted on metallic stubs with double-sided conductive tape and ion coated with gold layer by a sputter coater (Baltec SCD 050) for 80 s under vacuum at a current intensity of 60 mA to avoid any charging effect. The chemical composition of samples was analyzed by energy-dispersive spectroscopy (EDS) using Oxford EDS INCA (Oxford Instruments). CSF specific surface area and porosity were determined by nitrogen adsorption/desorption isotherms at N2 boiling point using an ASAP2020 gas-volumetric apparatus (Micromeritics). BET and BJH models were applied to calculate the specific surface area and pore size distribution, respectively. Prior to analyses, the samples were outgassed in vacuum (residual pressure  10−2 mbar) at 300 °C. Particle size distribution was determined by laser diffraction using a particle size analyzer LS 13 320 single-wavelength (Beckman Coulter), with an analysis range from 0.37 to 2000 µm.

MD setup

The laboratory set-up was equipped with a Microdyn MD-020-2N-CP hollow fiber membrane module (nominal filtering area = 0.1 m2) The set-up consisted of 1 L glass bottle of feed placed on heating plate with stirrer and 1 L bottle of permeate placed on balance. Feed and permeate were pumped through a peristaltic pump Masterflex L/S Easy-Load® (model 77200-62) from the feed bottle through heater followed by the membrane module and back into the feed tank. The flow rate of pumping was 20 L h−1. Distilled permeate water was pumped from permeate bottle though a cooler and recirculated in the shell side (d = 2.1 cm) of the membrane module in a countercurrent mode, at a flow rate of 20 L h−1. Both feed and permeate were recirculated back to their reservoirs, after passing through the contactor. The temperature was measured at the membrane inlet and outlet at the feed (TF) and permeate (TP) sides, where TF1 > TF2 and TP1 > TP2.

Degradation experiments

In batch tests performed to develop mathematical model, 200 mL of BPA solution (10 mg L−1 in deionized water) was poured in a 500 mL three neck round bottom flask immersed in an oil bath. The solution was heated under reflux to given temperature. After reaching set temperatures of 30, 45, 50, 55, 60. and 65 °C in each experiment, the perovskite was added to reach concentration of 0.5 g L−1 and the pH was adjusted to 7.0. Solution was continuously stirred and samples were taken on regular time intervals. To determine kinetic constant rates for different catalyst concentration the same experiment was performed in temperature 65 °C and the proper amount of perovskite was added each time to reach concentration of 0.15, 0.35, 0.75, and 1 g L−1, respectively. The rate constant, k, values were determined for each temperature from the slope of the curve obtained when −ln(Ct/C0) was plotted with respect to time. Results obtained from both experiments were used to determine our model and are described in the Supplementary material.

To determine the effectiveness of perovskite in degradation of BPA in the catalytic MD process, the experiment described in the following was performed. 1800 mL of feed solution containing BPA of concentration of 10 mg L−1 was prepared. The permeate initial volume consisted of 300 mL of distilled water. The volume of dead water needed to start the process was 200 mL. The feed was heated to 65 °C and the proper amount of perovskite was added to obtain concentration of 1 g L−1. The pH was adjusted to 7.0 and the solution was under continuous stirring. The samples of feed and permeate were taken on regular intervals. For the experiment studying effectiveness of catalyst reuse in thermocatalytic MD process, the same procedure was repeated as described above, but the amount of catalyst needed to reach concentration of 1 g L−1 was added only in the first cycle. After addition, the solution of feed was heated to 65 °C, BPA was added at the beginning of each cycle to reach concentration of 10 g L−1 and pH was adjusted to 7.0. The procedure was repeated four times. In each experiment, collected samples were filtered using RC 0.45 µm syringe filters. Then, the liquid phases were analyzed through HPLC with UV detection (Summit-Dionex, with a Luna 5u C18 100 Å column (250 × 4.60 mm), mobile phase flow of 1 mL min−1 (acetonitrile/water = 60/40), UV detector at 230 nm) in order to determine the concentration of the contaminant in the sample. A calibration curve was determined using several solutions of BPA in concentrations between 1 and 10 mg L−1.