Next Article in Journal
An Overview of Lean Exhaust deNOx Aftertreatment Technologies and NOx Emission Regulations in the European Union
Next Article in Special Issue
UV Stimulated Manganese Dioxide for the Persulfate Catalytic Degradation of Bisphenol A
Previous Article in Journal
Synthesis of Novel Heteroleptic Oxothiolate Ni(II) Complexes and Evaluation of Their Catalytic Activity for Hydrogen Evolution
Previous Article in Special Issue
Colour Changes during the Carbamazepine Oxidation by Photo-Fenton
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Photocatalytic Nanocomposite Polymer-TiO2 Membranes for Pollutant Removal from Wastewater

by
Khelil Bouziane Errahmani
1,
Ouassila Benhabiles
2,
Sohbi Bellebia
1,
Zohra Bengharez
1,
Mattheus Goosen
3 and
Hacene Mahmoudi
4,*
1
Laboratory of Advanced Materials and Physicochemistry for Environment and Health, Faculty of Exact Sciences, Djillali Liabes University Sidi Bel Abbes, P.O. Box 89, Sidi Bel Abbes 22000, Algeria
2
Unité de Développement des Equipements Solaires, UDES/Centre de Développement des Energies Renouvelables, CDER, Bou Ismail, Tipaza 42004, Algeria
3
Office of Research & Graduate Studies, Alfaisal University, P.O. Box 50927, Riyadh 11533, Saudi Arabia
4
Faculty of Technology, University Hassiba Benbouali of Chlef, Chlef 02000, Algeria
*
Author to whom correspondence should be addressed.
Catalysts 2021, 11(3), 402; https://doi.org/10.3390/catal11030402
Submission received: 8 February 2021 / Revised: 16 March 2021 / Accepted: 17 March 2021 / Published: 23 March 2021
(This article belongs to the Special Issue Photocatalysis in the Wastewater Treatment)

Abstract

:
Photocatalytic TiO2-PVDF/PMMA nano-composites flat sheet membranes were fabricated by phase inversion and then employed in a crossflow filtration pilot to remove model pollutants of various sizes and charge from aqueous solution. The dope solution contained a mixture of PVDF and PMMA as polymers, polyethylene glycol (PEG) and polyvinylpyrrolidone (PVP) as additives, triethyl phosphate (TEP) as green solvent and TiO2 as immobilized photo catalyst. After undergoing characterization tests such as SEM morphology thickness, porosity, contact angle and water permeability, the membranes were used to eliminate the model pollutants from synthetic aqueous solution. The impact of the operating conditions (i.e., pH, pressure and initial pollutant concentration) and composition of the doping solution on the performance and photocatalytic and antifouling activity of the membranes was investigated. The results showed that Congo Red and Tartrazine despite their small size were rejected at 99% and 81%, respectively, because of their negative charge, while Ciprofloxacin, which is larger than Tartrazine but of neutral charge, crossed the membrane. The permeability did not decrease with a decline in pollutant concentration but diminished when the pressure increased and was reduced by more than half for wastewater.

1. Introduction

Efficient techniques for wastewater treatment are critical not only to limit the release of pollutants into the natural environment, but also to produce safe potable water for human consumption. Organic compound contaminants for example are found in the effluents from the textile, food, and pharmaceutical industries [1]. Furthermore, the water produced by conventional purification processes can still contain micropollutants such as pharmaceuticals, pesticides and chemicals which are harmful to the ecosystem and human health, especially for young children, infants, and pregnant women [2]. The incidence of a variety of recently recognized compounds of anthropogenic or natural origin in the marine environment has also turned out to be a worldwide environmental concern. These pollutants are mainly organic in nature and usually occur in trace concentrations in the range from parts per trillion (ppt or ng/L) to parts per billion (ppb or μg/L) [1,3]. There is thus an urgent need for developing efficient effluent treatment practices.
Advanced oxidation techniques for the treatment of water and wastewater have been the subject of several research projects aimed at the selection of materials such as semiconductors and their composites as well as optimal process treatment operating conditions [4,5,6,7,8,9]. Among the numerous photocatalysts assessed titanium dioxide (TiO2) was found to be the best due to its ready availability and low cost [10]. The effectiveness of TiO2, as a heterogeneous catalyst for photo-degradation of aqueous pollutants and disinfection, was found to depend predominantly on the initial concentration of pollutants as well as on the light intensity on the TiO2 surface.
As well, membrane filtration technology has been extensively utilized not only in desalination but also in wastewater treatment, the food industry, pharmaceuticals manufacturing, and fermentation reactions [11,12]. Several researches on the application of membranes for wastewater treatment were investigated. For example, A.M. Khalil et al. [13] developed a cross-linked β-cyclodextrin nanofiber composite membrane for steroid hormone micropollutant removal. Similarly, L. Cseri et al. [14] suggest that nanofibrous polyimide membranes enhanced with ion exchange properties are promising candidates for the treatment of dye-laden textile wastewater.
As a real-world example of the application of nanocomposite materials, Ahdab and Rehman [15] studied brackish water desalination for greenhouses by employing mono- valent selective electrodialysis reversal (MSED-R) for improving groundwater quality for irrigation. Experimentally determined membrane selectivities were used to evaluate the nutrient and fertilizer cost savings of MSED-R relative to Reverse Osmosis (RO).
For environmental remediation, A. Alammar et al. [16] prepared nanocomposite hydrogels based on sustainable cellulose acetate and demonstrated their robustness and practicality in continuous environmental remediation by using the hydrogels to treat contaminated groundwater from the Adyar River in India.
However, a major drawback of membrane processes is fouling. This phenomenon is due to the deposition of minerals, as well as colloidal and organic substances on the membrane surface [10,17]. The deposition process can be complex. Quantitative analysis for example has been done of membrane fouling mechanisms involved in microfiltration of humic acid–protein mixtures [17]. Clogging decreases the filtration flow, which considerably increases energy requirements, the rate at which membranes must be changed, the washing frequency and consequently the overall cost of the operation.
Furthermore, in the case of photocatalytic membranes which are a hybrid technology, as with all new processes, there are challenges that need to be overcome. Progress has been made for instance in photocatalytic membrane reactors (PMR) for water treatment. Such reactors exhibit enormous potential in the field of water treatment and in the cleansing of the environment [18,19,20,21,22]. In this photocatalysis-membrane system the benefits of two systems are combined [23].
A variety of studies have been reported on hybrid ultrafiltration/photocatalytic membranes for water treatment [3,24,25,26]. These include flat micro ultrafiltration membranes [24]. Among recent studies on photocatalytic membranes, Polyethersulfone (PES)/sulfonated polysulfone (SPSf)/TiO2 mixed matrix membranes (MMMs) were fabricated for oil-in-water emulsion separation. Results show that small concentrations of TiO2 NPs can be used to successfully modify morphology and separation performance of membranes according to C. N. Matindi et al. [27]. Jie Yu et al. [28] report that membranes fabricated using a solvothermal-induced assembly of a 2D-2D reduced graphene oxide (rGO)-TiO2 mesoporous material with a laminar structure have an impressive self-cleaning ability and thus exhibit great potential application in the field of membrane separation.
Polyvinylidene fluoride (PVDF) membranes have great potential since a negative charge on the surface of the membrane prevents the adhesion of bacteria, thus limiting biofouling [23,25,26]. Furthermore, PVDF is a highly crystalline linear polymer with chemical and mechanical thermal stability. In addition, PMMA (polymethyl methacrylate) is a polymer with a higher transparency index than the mineral glass allowing for enhanced penetration of light and thus improved photocatalytic activity [24]. However, according to Benhabiles et al. [20], membranes prepared using PMMA have a low mechanical resistance.
It can be argued that owing to the strong compatibility of PVDF and PMMA, the combination of both polymers in a membrane may be employed to give enhanced overall properties such as improved mechanical resistance, hydrophilicity, processability, and ionic conductivity. Furthermore, membranes have recently been fabricated using triethyl phosphate (TEP) as the polymer solvent. Substituting hazardous solvents with TEP represents an attractive alternative for membrane fabrication. The solvent which has a high boiling point (215 °C) and has complete miscibility with water and alcohols, has been investigated by several authors [20,29,30,31].
In the current study, the application of photocatalytic nanocomposite polymer-TiO2 membranes fabricated by phase inversion was assessed for pollutant removal from aqueous solutions including wastewater. TiO2-PVDF/PMMA nano-composites flat sheet membranes were prepared by NIPS (Non-Solvent Induced Phase Separation). Scanning electron microscopy (SEM) was employed to characterize the surface and the cross-section morphology of the membranes. Pore size, pure water permeability (PWP), porosity, and contact angle measurements were also carried out. The fabricated membranes were assessed in a crossflow filtration cell on their effectiveness in removing pollutants with diverse molecular weights, shapes, and charges. Filtration tests for gram- and gram + bacterial suspensions were also performed. The final part of this study focused on membrane filtration performance including the effect of different operating conditions such as pH, operating pressure, and initial pollutant concentration. Antifouling and antibiofouling properties were also investigated.

2. Results and Discussion

2.1. Membrane Morphology

Morphology plays a fundamental role in membrane behavior and filtration performance. Membrane permeability and selectivity are both affected by membrane morphology [32]. SEM analysis of the surface (top and bottom) and cross-section of the membranes indicated that the morphology of PVDF/PMMA nanocomposites is homogeneous and has a sponge-like symmetric formation (Figure 1).
The structure of the M1 membrane was homogeneous, with small pores of the same size distributed on the upper surface. The membrane showed a porous structure with interconnected pores and an absence of macro voids. This arrangement can be due to the higher polymer content in the M1 casting solution, which would have increased the viscosity [33]. It is generally recognized that a rise in solution viscosity strongly limits water passage through the polymer chains, thus hindering the formation of macro voids in the membrane. The presence of PVP and PEG additives in the dope solutions would also have contributed to the formation of membranes with a discontinuous cross-section structure. Furthermore, it can be argued that the presence of triethyl phosphate (TEP) as an alternative non-toxic solvent would have slowed down the phase separation rate, leading to a porous spongy membrane [34].
Membrane M2 was observed to contain visible macro voids according to the cross-section image (Figure 1). This structure can be induced by a lower polymer concentration which would have resulted in membranes with larger pores. The presence of 5% photocatalyst titanium dioxide (TiO2) particles in the membrane matrix would have led to an increase in the hydrophobicity of the dope solution and therefore affected the exchanges between the solvent and the non-solvent in the coagulation bath [35]. Additionally, TiO2 particles were evenly well distributed in the membrane, as seen in Figure 2. There was more TiO2 in M2 (5%) than in M1 (2.5%). The size of the nanoparticles of TiO2 appeared to be greater than 21 nm because the dispersion was not complete by simple agitation.

2.2. Membrane Characterization

Fabricated membranes were characterized by measuring thickness, porosity, pure water permeability, pore size and contact angle (Table 1). The thickness of M1 was estimated at 0.159 mm which was greater than M2 at 0.099 mm. Membrane thickness increased concomitantly with an increase in polymer content. For example, the concentrations of PVDF and PMMA was 7 wt % compared to 6 wt % in M1 and M2 respectively (Figure 1 and Figure 2). In a related study, Ortiz de Zarate et al. [36] also found that membrane thickness, with a sponge-like structure across the membrane and free of macro voids, increased with a higher polymer content, which presumably delayed separation during phase inversion. Moreover, it was observed that the porosity of M1 decreased (36.44%) compared to M2 (76.76%). A less-porous surface was detected when the polymer concentration increased (Figure 1 and Figure 2). The reduction in cavities is presumably a consequence of an increasing polymer concentration. This is a very well documented phenomenon [18,24]. High polymer concentrations, in fact, slow down the precipitation process leading to the formation of a membrane with a lower pore size and therefore a lower porosity.
All membranes exhibited a hydrophilic nature because of the presence of PVDF and TiO2, which increased the wettability characteristics [32]. This is supported by the low contact angle measurements which gave values of 90° and 85° for M1 and M2 respectively.
One of the most important indicators in assessing the structure and morphology of membranes is the pure water permeability (PWP). The PWPs of the fabricated PVDF/PMMA/TiO2 membranes are illustrated in Figure 3. The membrane prepared with a high polymer content (i.e., M1) led to a low PWP, which is associated with porosity and pore size. For example, for membranes M1 and M2 at a pressure of 1 bar the PWP was 125 and 275 L/h.m2.bar respectively. The PWP of membranes decreased with the pressure. For membrane M2 the PWP decreased from 300 to 225 L/h.m2.bar as the cross-membrane pressure increased from 0.5 to 1.5 bar. The reason for this could be two-fold. Firstly, for polymeric UF/MF membranes, compaction increases at high pressures which may alter/decrease the pore size, thus decreasing the water passage through the membrane. Secondly, there may have been membrane deformation caused by the metallic support. As the pressure increased, the membrane surface is compressed against the support, and thus exerts an additional resistance to water permeation. These experimental results are similar to those reported in the literature [37].

2.3. Filtration Tests

2.3.1. Impact of Pollutants

Figure 4 shows the changes in the permeate concentrations of Congo Red, Tartrazine, and Ciprofloxacin as a function of time for the same initial dye concentration. The results showed a good elimination of Congo Red, achieving 99% removal, and for Tartrazine 81% elimination despite a molecular weight smaller than the molecular weight cut-off (MWCO) of the membranes. The initial concentration of all pollutant models was 20 mg/L; after 10 min of filtration, the concentration of Congo Red and Tartrazine in the permeate decreased to 0.5 mg/L; while a concentration of 18 mg/L was noticed for Ciprofloxacin, even though the differences in molecular weights between the three pollutants were small (i.e., 697, 534, and 331 g/mol, respectively). The slight increase in Tatrazine concentration in the permeate as a function of time suggests that the separation process for molecules such as Tatrazine also depends on factors other than the MWCO, such as charge.
Recent studies have shown the importance of the charge and shape of the molecules in the ultrafiltration process [38,39]. In Figure 5 it can been seen that Congo Red and Tartrazine have a linear structure with negative charges making it easier for their rejection by membranes with a negative surface charge. On the other hand, the globular structure and neutral charge of Ciprofloxacin reduces its rejection as shown by the higher permeate concentration (Figure 4). These results are similar to those reported by others [38,39].
The elimination rate was higher for the Congo Red (99%) and for Tartrazine molecule (81%) than for the Ciprofloxacin molecule (15%). This can be explained with the steric and electrostatic effect between these molecules and the negative charge of the membrane (Figure 5).
Uncharged molecules were able to pass through pores, while small, charged molecules could not pass. For pollutants with low or neutral charge, shape becomes an important factor, with globular being favored over a linear structure.

2.3.2. Impact of Operating Conditions

The concentration of Congo Red in the permeate decreased from 20 mg/L to 0.2 mg/L and remained stable throughout the filtration time. The Figure 6 shows that the pressure does not have a visible effect on the membrane retention of the Congo Red.
As shown in Figure 7, the pressure applied does not affect the retention rate of Congo Red, unlike the retention rate of Tartrazine, which decreases with pressure. For example, with Tatrazine at 40 mg/L, as the pressure increased from 0.5 to 1.5 bar, retention decreased from 80% to 38%, respectively. This is presumably due to the smaller size of Tatrazine (slightly lower than MWCO) which allows it to be forced through the pores of the membrane at height pressures.
In Figure 8, it was observed that the total volume flux linearly increased as the applied pressure increased. On the other hand, it was not greatly affected by the pH. This behavior has also been observed by Bandini et al. [40]. One can speculate that this could be due to the presence of pollutant molecules close to the membrane surface resulting in pore clogging. Consequently, the fluid had difficulty in passing through the pores. In the case of Tatrazine at 20 mg/L the highest permeate flux (188 L/m2.h) was achieved at 1.5 bar and the lowest flux value (88 L/m2.h) at 0.5 bar at 90 min of operation. These results are better than that reported by Waeger et al. [41] who showed that the permeate flux did not increase beyond a 0.5 bar. The improved fluxes in the current study may be due to the charged membrane which helps to repel the pollutant molecules from the surface.
To access the impact of pollutant concentration on the performance of the photocatalytic membrane and on its antifouling properties, a solution of Congo Red was filtered at different concentrations. There were no significant differences in pollutant effluent concentrations between low and high feed concentrations of Congo Red (i.e., 10, 20, and 40 mg/L) (Figure 9). It can be argued that this was due to the antifouling properties of the negatively charged photocatalytic membrane. Similar results were found by Molinari et al. [42]. Figure 10 shows a difference between Tartrazine and Congo Red. Tartrazine retention increased at higher concentration. For example, from 10 to 20 mg/L, retention was about 65%, while at 40 mg/L, retention increased to 80%. At a higher dye concentration, the dye accumulation on membrane surface probably increased, thus reducing the flux [43].
Figure 11 illustrates the changes in Congo Red concentration in the permeate with time using the photocatalytic membrane M1. There was a significant effect at pH = 10 during the first 45 min. However, there was little apparent effect at pH 4 to 7. All three pollutants behaved the same after 45 min. Thus, the retention of Congo Red by the membrane M1 was not significantly affected by pH variation after an initial contact time, unlike pollutants of a monovalent and divalent ion nature, where the rejection rate is affected by the pH value [44].

2.3.3. Application of Photocatalytic Membranes for Removal of Bacteria from Wastewater

In preliminary photocatalytic membrane experiments with wastewater, there was a significant reduction in the bacterial (i.e., Escherichia coli and Streptococcus sp.) concentration due to the treatment. Water taken from a drainage effluent (conductivity = 11.18 ms/cm) gave a turbidity of 9.61 NTU (Nephelometric Turbidity Unit) before filtration and 0.17 NTU in the permeate after filtration using the M1 membrane. The conductivity, however, decreased very little because of filtration. The conductivity before and after filtration was 11.18 and 10.21 ms/cm, respectively. The lack of change was due presumably to the retention of organic matter and the presence of bivalent or monovalent cations which were retained. However, the pure water permeability (PWP) of the membrane decreased more than half from 140 to 67 L/h.m2 and was due likely to the phenomenon of clogging by algae and microorganisms which are resistant to photo catalytic degradation. Removal of algae and microorganisms will require pretreatment.
A rich solution of two bacterial species, Escherichia coli and Streptococcus sp. was filtered through the M1 membrane. After counting on nutrient agar, by the MPN method (Most Probable Number), the results obtained showed a decrease in the two cultures in the permeate to approximately 240 cfu/mL. In addition, it was noted that the microbial populations in the retentate were uncountable.

3. Experimental

3.1. Chemicals

The polymers polyvinylidene fluoride (PVDF CAS 24937-79-9, Mw = 275 kg/mol) and poly methyl methacrylate (PMMA CAS 9011-14-7, Mw = 350 kg/mol) were supplied by Sigma-Aldrich (82024 Taufkirchen, Germany). Triethyl phosphate (Purity ≥ 99.8%) 538728 Sigma Aldrich, Germany) was used as a solvent without further purification. Polyvinylpyrrolidone (PVP10 CAS 9003-39-8 Sigma-Aldrich, 82024 Taufkirchen, Germany, Mw = 10 kg/mol) and Polyethylene glycol (PEG-200, CAS 25322-68-3 Sigma Aldrich, 82024 Taufkirchen Germany, Mw = 200 g/mol) were added to the polymeric solution, as pore-forming agents. TiO2 (Aeroxide-Degussa P25) photocatalyst was dispersed in the dope solution. As reported by the supplier, the TiO2 nanoparticles have a primary mean diameter of 21 nm, with a density of 4 g/cm3 with a predominance of the anatase form. Bi-distilled water was employed as a non-solvent for polymer precipitation.

3.2. Membrane Fabrication

Membranes were prepared as described by Benhabiles et al. [45] via the phase inversion technique. A non-solvent induced phase separation (NIPS) was used to fabricate flat-sheet membranes using a dope solution containing PMMA, PVDF, PVP, PEG, TiO2 and triethyl phosphate (TEP) as an alternative non-toxic solvent. TiO2 particles are incorporated in the polymer matrix. The dope solution was cast on a glass plate to a predetermined thickness of 350 μm using a manual Casting knife (Elcometer 3700 Film Applicator Blade with Tank, Elcometer Instrument GmbH, Aalen, Germany). Two types of membranes were fabricated (Table 2). For example, membranes M1 & M2 contained 2.5 wt % and 5 wt % TiO2 respectively. The produced membranes (60 cm × 16 cm) are washed three times with water at 60 °C, then dried in open air for 12 h.

3.3. Membrane Characterization

3.3.1. Membrane Morphology

Scanning electron microscopy (SEM) was performed to assess the structure, porosity, and thickness of the membrane. A Quanta 250 from the FEI Company was employed for the SEM. Cross sections of the membranes were prepared by fracturing the membranes in liquid nitrogen. Membranes were observed at a magnification ranging from 500× to 24,000×.

3.3.2. Membrane Porosity

Porosity, defined as the pore volume divided by the total volume of the membrane, was calculated by the following equation:
P o r o s i t y ( % ) = W t w W t d ρ k W t w W t d ρ k + W t d ρ p × 100
where W t w is the wet membrane weight, W t d is the dry membrane weight, ρ k is the isopropanol density and ρ p is the polymer density. Each membrane sample was weighed and subsequently submerged in a container filled with isopropanol and stored for 24 h. The test was performed three times and the porosity value was calculated.

3.3.3. Contact Angle

The contact angle θ for the membrane surface was measured by an optical tensiometer (CAM100 Instrument, Nordtest srl, GI, Serravalle Scrivia (AL), Italy) via the drop method. The contact angle determines the wettability and hydrophobicity of the membrane.

3.3.4. Pure Water Permeability

A laboratory crossflow cell (DeltaE srl, Italy), operating at 25 °C, was employed to carry out pure water permeability (PWP) experiments. Pure water was passed across the membrane by means of a peristaltic pump (Tuthill Pump Co., Concord, CA, USA). Stability of the permeate flow was achieved before running the permeability tests. PWP was calculated by applying the following equation:
P W P = Q A t ρ
where A is the membrane area expressed in m2,
ρ is the pressure expressed in bar,
Q is the permeate volume in liters,
and t is the time expressed in hours.
One of the most important indicators in assessing the structure and morphology of membranes is the pure water permeability (PWP). It was carried out by measuring the flow of permeate at different working pressures in the range 0.5–1.5 bars.

3.3.5. Permeate Flux and Retention

The permeate flux was calculated by dividing the permeate volume by the membrane effective area and a specified time (Equation (3)):
P e r m e a t e f l u x = p e r m e a t e v o l u m e c o l l e c t e d e f f e c t i v e a r e a × t i m e
The retention indicates pollutant removal by the membrane and was calculated as follows:
R e t e n t i o n ( % ) = ( 1 C p C f ) × 100
where C p and C f are the concentrations in the permeate and in the feed respectively.

3.4. Experimental Setup

Figure 12 represents the experimental setup for membrane performance evaluation by a crossflow filtration cell, also known as tangential flow filtration. All experiments were carried out at room temperature. The system consisted of a reservoir, pump, valves, pressure regulators, and filtration cell with viewport for photocatalytic application designed by DeltaE SRL (Rende (CS) Italy). The peristaltic pump (ESMATEC-IDEX Corporation) was employed to circulate the feed and supply the operating pressure, manometers, and feed tank linked together with polymeric flexible pipes.
The filtration cell was circular with an effective membrane area of 0.0013 m2. The applied feed was formed from dissolving various amounts of model pollutant powder in purified water (i.e., 10 mg/L, 20 mg/L and 40 mg/L). The retentate was recirculated to the reservoir and the permeate was collected and measured. The volume of the feed solution was 1 L for all experiments.

3.5. Filtration Experiments

The filtration experiments were carried out using the pilot crossflow system shown in Figure 12 at the Waste Water Treatment and Valorization laboratory (EVER) of the Solar Equipment Development Unit (UDES). A flat sheet membrane with 47 mm diameter (0.0013 m2 effective surface) is supported by a stainless-steel grid integrated in the cell (PMR). Before each filtration test the membrane was washed with purified water for 30 min in recirculation mode.
The pollutants assessed were chosen according to their physico-chemical properties (e.g., Molecular Weight, pKa, charge) and the size of the pores of the membranes. Three model pollutant compounds were tested, Congo Red (MW = 696.66 Da, pKa = 4), Tartrazine (MW = 534.3 Da, pKa = 9.2), and Ciprofloxacin (MW = 331.3 Da, pKa = 6.09). The separation efficiency of the membranes was evaluated by filtration of molecules from different families: Congo Red (697 g/mol); textile dye with the empirical formula (C32H22N6Na2O6S2), Tartrazine (534 g/mol) which is a food color with formula (C16H9N4Na3O9S2), and a pharmaceutical product Ciprofloxacin (331 g/mol) with the molecular formula (C17H18FN3O3).
A volume of 1 L at 20 mg/L of each pollutant was filtered through the membrane M1 under a pressure of 0.5 bar. The filtration tests were carried out at room temperature under a transmembrane pressure varying from 0.5 bar to 1.5 bar, with recirculation of the retentate and permeation to the feed tank.
The concentration of pollutants in the permeate and the retentate were quantitatively determined using a spectrophotometer Shimadzu UV-VIS 18000, at a wavelength of 497 nm for Cong Red, 427 nm for Tatrazine, and 273 nm for Ciprofloxacin. The determined concentrations were used for calculation of the retention rate. The impact of operating conditions: pH, pressure, and pollutant concentration in the feed were studied. The evolution of concentration in the permeate and retentate solution was assessed by spectroscopy UV for the chemical pollutants. The flux and the retention values for each pollutant was measured and compared.

3.6. Application of Photocatalytic Membranes for Bacteria Removal from Wastewater

The use of filtration with a photocatalytic membrane to eliminate bacteria (Escherichia coli and Streptococcus sp.) present in a wastewater solution containing a mixture of the two strains was assessed. The conductivity of water taken from a drainage effluent before and after filtration by the M1 membrane was evaluated. A culture was performed on nutritive agar for the retentate and for the permeate. These results were analyzed to determine how well the photocatalytic membrane retained bacteria.

4. Conclusions

The resulting TiO2-PVDF/PMMA nano-composites flat sheet membranes had a high permeability and porosity that could retain organic molecules such as Congo Red (MW 696.66 g/mol), and thus is an excellent candidate for use in the treatment of wastewater from the pharmaceutical industry.
The results revealed an excellent elimination of Congo Red with 99% removal and 81% for Tartrazine. However, a decrease of only 15% was observed for Ciprofloxacin. This behavior suggests that the separation process depends on factors other than the molecular weight cut-off of the membrane (MWCO), such as charge. Results suggest that negative charge on the hydrophilic membrane plays a significant role in the rejection process. In addition to filtration performance, the TiO2 in the polymer matrix has anti-fouling properties.
In experiments with wastewater, there was a significant reduction in the bacterial (Escherichia coli and Streptococcus sp.) concentrationobserved.
Operating pressures (0.5–1.5 bar) do not have a significant effect on the retention of pollutants. In all cases, permeate flux was increased by raising the operating pressure and decreased by increasing the organic concentration. Under similar operating conditions, pH showed a variable influence on the retention of the model pollutant molecules with no significant influence observed for Tatrazine, Ciprofloxacin, and Red Congo.
Additional studies are still needed to take advantage of photocatalytic membrane potential and develop their anti-clogging performance.

Author Contributions

Conceptualization, K.B.E., O.B. and H.M.; Methodology, O.B. and H.M.; Validation, K.B.E., O.B., S.B. and Z.B.; Formal Analysis, O.B. and K.B.E.; Investigation, K.B.E., O.B.; Data Curation, M.G. and H.M.; All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Rout, P.R.; Zhang, T.C.; Bhunia, P.; Surampalli, R.Y. Treatment technologies for emerging contaminants in wastewater treatment plants: A review. Sci. Total Environ. 2020, 753, 141990. [Google Scholar] [CrossRef] [PubMed]
  2. Margot, J.; Rossi, L.; Barry, D.A.; Holliger, C. A review of the fate of micropollutants in wastewater treatment plants. Wiley Interdiscip. Rev. Water 2015, 2, 457–487. [Google Scholar] [CrossRef] [Green Version]
  3. Rodriguez-Narvaez, O.M.; Peralta-Hernandez, J.M.; Goonetilleke, A.; Bandala, E.R. Treatment technologies for emerging contaminants in water: A review. Chem. Eng. J. 2017, 323, 361–380. [Google Scholar] [CrossRef] [Green Version]
  4. Deng, Y.; Zhao, R. Advanced oxidation processes (AOPs) in wastewater treatment. Curr. Pollut. Rep. 2015, 1, 167–176. [Google Scholar] [CrossRef] [Green Version]
  5. Malato, S.; Fernández-Ibáñez, P.; Maldonado, M.I.; Blanco, J.; Gernjak, W. Decontamination and disinfection of water by solar photocatalysis: Recent overview and trends. Catal. Today 2009, 147, 1–59. [Google Scholar] [CrossRef]
  6. Al-Dawery, S.K. Photo-catalyst degradation of tartrazine compound in wastewater using TiO2 and UV light. J. Eng. Sci. Technol. 2013, 8, 683–691. [Google Scholar]
  7. da Silva, S.W.; Klauck, C.R.; Siqueira, M.A.; Bernardes, A.M. Degradation of the commercial surfactant nonylphenol ethoxylate by advanced oxidation processes. J. Hazard. Mater. 2015, 282, 241–248. [Google Scholar] [CrossRef]
  8. Mierzwa, J.C.; Rodrigues, R.; Teixeira, A.C.S.C.; Ameta, I.S.C.; Ameta, R. Advanced Oxidation Processes for Wastewater Treatment: Emerging Green Chemical Technology; Academic Press: Cambridge, MA, USA, 2018; pp. 13–48. [Google Scholar]
  9. Amor, C.; Marchão, L.; Lucas, M.S.; Peres, J.A. Application of advanced oxidation processes for the treatment of recalcitrant agro-industrial wastewater: A review. Water 2019, 11, 205. [Google Scholar] [CrossRef] [Green Version]
  10. Fernandes, A.; Makoś, P.; Wang, Z.; Boczkaj, G. Synergistic effect of TiO2 photocatalytic advanced oxidation processes in the treatment of refinery effluents. Chem. Eng. J. 2020, 391, 123488. [Google Scholar] [CrossRef]
  11. Norman, N.; Anthony, L.; Fane, G.; Ho, W.S.W.; Matsuura, T. Advanced Membrane Technology and Applications; John Wiley & Sons, Inc.: Hoboken, NJ, USA, 2008. [Google Scholar]
  12. Goh, P.S.; Wong, T.W.; Lim, J.W.; Ismail, A.F.; Hilal, N. Chapter 9-Innovative and sustainable membrane technology for wastewater treatment and desalination application. Innov. Strateg. Environ. Sci. 2020, 291–319. [Google Scholar]
  13. Khalil, A.M.; Schäfer, A.I. Cross-linked β-cyclodextrin nanofiber composite membrane for steroid hormone micropollutant removal from water. J. Membr. Sci. 2021, 618, 118228. [Google Scholar] [CrossRef]
  14. Cseri, L.; Topuz, F.; Abdulhamid, M.A.; Alammar, A.; Budd, P.M.; Szekely, G. Electrospun Adsorptive Nanofibrous Membranes from Ion Exchange Polymers to Snare Textile Dyes from Wastewater. Adv. Mater. Technol. 2021, 2000955. [Google Scholar] [CrossRef]
  15. Ahdab, Y.D.; Rehman, D. Brackish water desalination for greenhouses: Improving groundwater quality for irrigation using monovalent selective electrodialysis reversal. J. Membr. Sci. 2020, 610, 118072. [Google Scholar] [CrossRef]
  16. Abdulaziz, A.; Sang-Hee, P.; Izwaharyanie, I.; Deepak, A.; Tibor, H.; Ludovic, F.D.; Hong Ngee, L.; Gyorgy, S. Architecting neonicotinoid-scavenging nanocomposite hydrogels for environmental remediation. Appl. Mater. Today 2020, 21, 100878. [Google Scholar]
  17. Sun, C.; Zhang, N.; Li, F.; Ke, G.; Song, L.; Liu, X.; Liang, S. Quantitative analysis of membrane fouling mechanisms involved in microfiltration of humic acid–protein mixtures at different solution conditions. Water 2018, 10, 1306. [Google Scholar] [CrossRef] [Green Version]
  18. Galiano, F.; Figoli, A.; Deowan, S.A.; Johnson, D.; Altinkaya, S.A.; Veltri, L.; De Luca, G.; Mancuso, R.; Hilal, N.; Gabriele, B.; et al. A step forward to a more efficient wastewater treatment by membrane surface modification via polymerizable bicontinuous microemulsion. J. Membr. Sci. 2015, 482, 103–114. [Google Scholar] [CrossRef] [Green Version]
  19. Molinari, R.; Lavorato, C.; Argurio, P. Recent progress of photocatalytic membrane reactors in water treatment and in synthesis of organic compounds. A review. Catal. Today 2017, 281, 144–164. [Google Scholar] [CrossRef]
  20. Benhabiles, O.; Mahmoudi, H.; Lounici, H.; Goosen, M.F.A. Effectiveness of a photocatalytic organic membrane for solar degradation of methylene blue pollutant. Desalin. Water Treat. 2016, 57, 14067–14076. [Google Scholar] [CrossRef]
  21. Choi, H.; Stathatos, E.; Dionysiou, D.D. Photocatalytic TiO2 films and membranes for the development of efficient wastewater treatment and reuse systems. Desalination 2007, 202, 199–206. [Google Scholar] [CrossRef]
  22. Figoli, A.; Ursino, C.; Galiano, F.; Di Nicolò, E.D.; Campanelli, P.; Carnevale, M.C.; Criscuoli, A. Innovative hydrophobic coating of perfluoropolyether (PFPE) on commercial hydrophilic membranes for DCMD application. J. Membr. Sci. 2017, 522, 192–201. [Google Scholar] [CrossRef]
  23. Hsu, C.H.; Venault, A.; Huang, Y.T.; Wu, B.W.; Chou, C.J.; Ishihara, K.; Chang, Y. Toward antibiofouling PVDF membranes. Langmuir 2019, 35, 6782–6792. [Google Scholar] [CrossRef]
  24. Romanos, G.E.; Athanasekou, C.P.; Likodimos, V.; Aloupogiannis, P.; Falaras, P. Hybrid Ultrafiltration/Photocatalytic Membranes for Efficient Water Treatment. Ind. Eng. Chem. 2013, 52, 13938–13947. [Google Scholar] [CrossRef]
  25. Li, X.; Lu, X. Morphology of polyvinylidene fluoride and its blend in thermally induced phase separation process. J. Appl. Polym. Sci. 2006, 101, 2944–2952. [Google Scholar] [CrossRef]
  26. Gnanou, Y.; Fontanille, M. Organic and Physical Chemistry of Polymers; Wiley Blackwell: Hoboken, NJ, USA, 2008. [Google Scholar]
  27. Matindi, C.N.; Hu, M.; Kadanyo, S.; Ly, Q.V.; Gumbi, N.N.; Dlamini, D.S.; Li, J.; Hu, Y.; Cui, Z.; Li, J. Tailoring the morphology of polyethersulfone/sulfonated polysulfone ultrafiltration membranes for highly efficient separation of oil-in-water emulsions using TiO2 nanoparticles. J. Membr. Sci. 2021, 620, 118868. [Google Scholar] [CrossRef]
  28. Yu, J.; Zhang, Y.; Chen, J.; Cui, L.; Jing, W. Solvothermal-induced assembly of 2D-2D rGO-TiO2 nanocomposite for the construction of nanochannel membrane. J. Membr. Sci. 2020, 600, 117870. [Google Scholar] [CrossRef]
  29. Figoli, A.; Simone, S.; Drioli, E.; Hilal, I.N.; Ismail, A.F.; Wright, C. Membrane Fabrication; Taylor & Francis Group: Boca Raton, FL, USA, 2015; pp. 1–42. [Google Scholar]
  30. Marino, T.; Blefari, S.; di Nicolò, E.; Figoli, A. A more sustainable membrane preparation using triethyl phosphate as solvent. Green Process. Synth. 2017, 6, 295–300. [Google Scholar] [CrossRef]
  31. Mozia, S.; Darowna, D.; Przepiórski, J.; Morawski, A.W. Evaluation of performance of hybrid photolysis-DCMD and photocatalysis-DCMD systems utilizing UV-C radiation for removal of diclofenac sodium salt from water. Pol. J. Chem. Technol. 2013, 15, 51–60. [Google Scholar] [CrossRef] [Green Version]
  32. Said, M.; Nasir, S.; Priadi, D.P. The Effect of Pressure and Time Operation of Gasing River Water Treasure on Pollutant Concentration by Using Ceramic Membrane Separation. Sriwij. J. Environ. 2018, 3, 47–54. [Google Scholar] [CrossRef]
  33. Marino, T.; Russo, F.; Figoli, A. The Formation of polyvinylidene fluoride membranes with tailored properties via vapour/non-solvent induced phase separation. Membranes 2018, 8, 71. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Wang, L.; Yong, W.F.; Yu, L.E.; Chung, T. Design of high efficiency PVDF-PEG hollow fibers for air filtration of ultrafine particles. J. Membr. Sci. 2017, 535, 342–349. [Google Scholar] [CrossRef]
  35. Drelich, J.; Chibowsk, E. Superhydrophilic and superwetting surfaces: Definition and mechanisms of control. Langmuir 2010, 26, 18621–18623. [Google Scholar] [CrossRef]
  36. de Zárate, J.M.O.; Pen˜a, L.; Mengual, J.I. Characterization of membrane distillation membranes prepared by phase inversion. Desalination 1995, 100, 139–148. [Google Scholar] [CrossRef]
  37. Kim, Y.C.; Elimelech, M. Adverse impact of feed channel spacers on the performance of pressure retarded osmosis. Environ. Sci. Technol. 2012, 46, 4673–4681. [Google Scholar] [CrossRef]
  38. Arsuaga, J.M.; Sotto, A.; López-Muñoz, M.J.; Braeken, L. Influence of type and position of functional groups of phenolic compounds on NF/RO performance. J. Membr. Sci. 2011, 372, 380–386. [Google Scholar] [CrossRef]
  39. Revchuk, A.D.; Suffet, I.N. Ultrafiltration separation of aquatic natural organic matter: Chemical probes for quality assurance. Water Res. 2009, 43, 3685–3692. [Google Scholar] [CrossRef] [PubMed]
  40. Bandini, S.; Drei, J.; Vezzani, D. The role of pH and concentration on the ion rejection in polyamide nanofiltration membranes. J. Membr. Sci. 2005, 264, 65–74. [Google Scholar] [CrossRef]
  41. Waeger, F.; Delhaye, T.; Fuchs, W. The use of ceramic microfiltration and ultrafiltration membranes for particle removal from anaerobic digester effluents. Sep. Purif. Technol. 2010, 73, 271–278. [Google Scholar] [CrossRef]
  42. Molinari, R.; Pirillo, F.; Falco, M.; Loddo, V.; Palmisano, L. Photocatalytic degradation of dyes by using a membrane reactor. Chem. Eng. Process. 2004, 43, 1103–1114. [Google Scholar] [CrossRef] [Green Version]
  43. Koyuncu, I. Reactive dye removal in dye/salt mixtures by nanofiltration membranes containing vinylsulphone dyes: Effect of feed concentration and cross flow velocity. Desalination 2002, 143, 243–253. [Google Scholar] [CrossRef]
  44. Qin, J.-J.; Oo, M.H.; Lee, H.; Coniglio, B. Effect of feed pH on permeate pH and ion rejection under acidic conditions in NF process. J. Membr. Sci. 2004, 232, 153–159. [Google Scholar] [CrossRef]
  45. Benhabiles, O.; Galiano, F.; Marino, T.; Mahmoudi, H.; Lounici, H.; Figoli, A. Preparation and characterization of TiO2-PVDF/PMMA blend membranes using an alternative non-toxic solvent for UF/MF and photocatalytic application. Molecules 2019, 24, 724. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. SEM images: top surface, bottom surface, and cross-sections of membranes M1 and M2.
Figure 1. SEM images: top surface, bottom surface, and cross-sections of membranes M1 and M2.
Catalysts 11 00402 g001
Figure 2. Top surface of membranes M1 and M2 collected on the concentric backscatter (CBS) detector from the FEI company.
Figure 2. Top surface of membranes M1 and M2 collected on the concentric backscatter (CBS) detector from the FEI company.
Catalysts 11 00402 g002
Figure 3. Pure water permeability (PWP) as a function of transmembrane pressure through the membranes M1 and M2.
Figure 3. Pure water permeability (PWP) as a function of transmembrane pressure through the membranes M1 and M2.
Catalysts 11 00402 g003
Figure 4. Pollutant concentration in permeate as a function of time for membrane M1.
Figure 4. Pollutant concentration in permeate as a function of time for membrane M1.
Catalysts 11 00402 g004
Figure 5. Steric configuration of pollutants models.
Figure 5. Steric configuration of pollutants models.
Catalysts 11 00402 g005
Figure 6. Effect of pressure on permeate concentration of Congo Red solution versus time.
Figure 6. Effect of pressure on permeate concentration of Congo Red solution versus time.
Catalysts 11 00402 g006
Figure 7. Effect of transmembrane pressure on retention of Congo Red and Tartrazine for the membrane.
Figure 7. Effect of transmembrane pressure on retention of Congo Red and Tartrazine for the membrane.
Catalysts 11 00402 g007
Figure 8. Effect of pressure on permeate flux of pure water and aqueous solutions of Congo Red and Tartrazine through the photocatalytic membrane.
Figure 8. Effect of pressure on permeate flux of pure water and aqueous solutions of Congo Red and Tartrazine through the photocatalytic membrane.
Catalysts 11 00402 g008
Figure 9. Effect of initial concentration on elimination of Congo Red by filtration using photocatalytic membrane.
Figure 9. Effect of initial concentration on elimination of Congo Red by filtration using photocatalytic membrane.
Catalysts 11 00402 g009
Figure 10. Effect of initial concentration on retention of Congo Red and Tartrazine.
Figure 10. Effect of initial concentration on retention of Congo Red and Tartrazine.
Catalysts 11 00402 g010
Figure 11. Effect of pH on concentration of Congo Red in permeate during filtration with photocatalytic membrane M1 (C0 = 10 mg/L, P = 0.5 bar).
Figure 11. Effect of pH on concentration of Congo Red in permeate during filtration with photocatalytic membrane M1 (C0 = 10 mg/L, P = 0.5 bar).
Catalysts 11 00402 g011
Figure 12. Schematic of the crossflow system.
Figure 12. Schematic of the crossflow system.
Catalysts 11 00402 g012
Table 1. Characteristics of the fabricated membranes.
Table 1. Characteristics of the fabricated membranes.
MembraneMembrane Thickness Contact AnglePure Water PermeabilityPorosityPore Size-Average Value
(mm)(Degrees)(L/hm2 bar)(%)(nm)
M10.15690 ± 2.6015836.44150
M20.09985 ± 2.5122676.76300
Table 2. TiO2-PVDF/PMMA photocatalytic membranes produced by varying casting solution composition.
Table 2. TiO2-PVDF/PMMA photocatalytic membranes produced by varying casting solution composition.
Membrane CodeTiO2/wt %PVDF/wt %PMMA/wt%PVP/wt %PEG/wt %TEP/wt %
M12.5%7%7%5%5%73.5%
M25%6%6%5%5%73%
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Bouziane Errahmani, K.; Benhabiles, O.; Bellebia, S.; Bengharez, Z.; Goosen, M.; Mahmoudi, H. Photocatalytic Nanocomposite Polymer-TiO2 Membranes for Pollutant Removal from Wastewater. Catalysts 2021, 11, 402. https://doi.org/10.3390/catal11030402

AMA Style

Bouziane Errahmani K, Benhabiles O, Bellebia S, Bengharez Z, Goosen M, Mahmoudi H. Photocatalytic Nanocomposite Polymer-TiO2 Membranes for Pollutant Removal from Wastewater. Catalysts. 2021; 11(3):402. https://doi.org/10.3390/catal11030402

Chicago/Turabian Style

Bouziane Errahmani, Khelil, Ouassila Benhabiles, Sohbi Bellebia, Zohra Bengharez, Mattheus Goosen, and Hacene Mahmoudi. 2021. "Photocatalytic Nanocomposite Polymer-TiO2 Membranes for Pollutant Removal from Wastewater" Catalysts 11, no. 3: 402. https://doi.org/10.3390/catal11030402

APA Style

Bouziane Errahmani, K., Benhabiles, O., Bellebia, S., Bengharez, Z., Goosen, M., & Mahmoudi, H. (2021). Photocatalytic Nanocomposite Polymer-TiO2 Membranes for Pollutant Removal from Wastewater. Catalysts, 11(3), 402. https://doi.org/10.3390/catal11030402

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop