3.1. Reaction Mechanisms
3.1.1. Iron valence analysis
First, the Fe(II) and Fe(III) contents of the solution were determined. The total Fe in the solution was determined using the 1,10 phenanthroline spectrophotometric method, and the Fe(II) content of the solution was determined using the 1,10 phenanthroline spectrophotometric method without the addition of ascorbic acid. The results indicated that the absorbance of the Fe(II)-containing solution in the absence of ascorbic acid was the same as that of the blank solution. Moreover, the Fe contents of the solution with and without added hydrogen peroxide were the same. In summary, the primary Fe species in the solution was Fe(III), and K4[Fe(CN)6] was selected as the Fe removal agent. The Fe removal effect was investigated at different K4[Fe(CN)6] dosages, reaction temperatures, reaction times, stirring speeds, and ultrafiltration membranes with different specifications.
3.2. Results of iron removal under different conditions
The effects of K4[Fe(CN)6] dosage, temperature, reaction time, stirring speed, and film characteristics on iron removal were investigated separately.
Fig 2 (a) shows the effect of different K4[Fe(CN)6] dosages (the mole ratio of K4[Fe(CN)6] to Fe is 0.9, 1.0, 1.1, 1.2, 1.3, and 1.4) on iron removal. The reaction conditions were as follows: temperature of 25 °C, stirring speed of 300 rpm, and reaction time of 1.0 h. In addition, a 50,000 Da membrane was used for ultrafiltration. As the dosage of K4[Fe(CN)6] was increased, the Fe content of the solution decreased at first and then increased. By contrast, the Zr loss increased with increasing K4[Fe(CN)6] dosage. Upon the addition of K4[Fe(CN)6] to the Fe-containing zirconium sulfate solution, the Fe in the solution reacted with it to produce a precipitate. Consequently, the Fe content of the solution decreased gradually. However, because K4[Fe(CN)6] contains Fe, the Fe content of the solution gradually increased as the K4[Fe(CN)6]-to-Fe molar ratio was increased beyond 1.0. The gradual increase in the Zr loss was ascribed to the gradual increase in the amount of precipitate generated because Zr was adsorbed and entrapped in the precipitate. The residual Fe content of the solution was the lowest when the number of moles of K4[Fe(CN)6] matched the number of moles of Fe ions in the solution, that is, at a K4[Fe(CN)6]-to-Fe molar ratio of 1.0. Therefore, a K4[Fe(CN)6]-to-Fe molar ratio of 1.0 was selected for the subsequent experiments.
Fig 2 (b) shows the influence of different temperatures (5, 25, 45, 65, and 85℃) on iron removal. The experimental conditions were as follows: K4[Fe(CN)6]-to-Fe molar ratio of 1.0, stirring speed of 300 rpm, and reaction time of 1.0 h. Moreover, a 50,000 Da membrane was used for ultrafiltration. As the temperature increased, the Fe content first decreased and then reached a plateau. By contrast, the Zr loss increased significantly with temperature and then reached a plateau. As the temperature was increased, the mass transfer in the system was promoted and precipitates were more easily generated. Furthermore, the collision and growth of the small precipitate particles were favored, improving membrane separation performance. Moreover, the Zr loss increased with the increasing amount of precipitate because Zr was adsorbed and entrapped in the precipitates. At temperatures higher than 45 °C, upon slowly cooling the system to room temperature, a large number of zirconium sulfate crystals were produced. This led to an increase in the Zr loss, which reached approximately 6%. Considering the operation cost and crystallization behavior of the precipitates, 45 °C was selected as the optimal temperature for the subsequent experiments.
Fig 2 (c) shows the effect of different times (0.5, 1.0, 2.0, 4.0, 8.0, 24.0, 48.0 h) on iron removal. The reaction conditions were as follows: K4[Fe(CN)6]-to-Fe molar ratio of 1.0, stirring speed of 300 rpm, and reaction temperature of 45 °C. Moreover, a 50,000 Da membrane was used for ultrafiltration. As the reaction time was increased, the Fe content of the solution first decreased sharply and then increased slowly until it reached a plateau. Conversely, the Zr loss increased sharply and then decreased slowly until it reached a plateau. For short reaction times, the precipitate particles were small and could not be separated via ultrafiltration. Upon increasing the reaction time, the precipitate particles grew and the Fe content decreased. As the reaction time was further increased, a fraction of the agglomerated large particles disintegrated into small particles, which formed a suspension and increased the Fe content of the solution. The Zr loss was inversely correlated with the Fe content. Considering the Fe removal results, a reaction time of 2.0 h was selected for the subsequent experiments.
Fig 2 (d) shows the effect of different stirring speeds (100, 200, 300, 400, 500, and 600 RPM) on iron removal. The experimental conditions were as follows: K4[Fe(CN)6]-to-Fe molar ratio of 1.0, a reaction time of 4.0 h, and a reaction temperature of 45 °C. In addition, a 50,000 Da membrane was used for ultrafiltration. As the stirring speed was increased, the Fe content first decreased and then reached a plateau. Because stirring promoted mass transfer, it also promoted the precipitation reaction and the growth of the small precipitate particles via interparticle collisions. Considering the operation cost and Fe removal results, a stirring speed of 300 rpm was selected for the subsequent experiments.
Fig 2 (e) shows the effect of different molecular weight cut-offs (MWCO; 500,000, 200,000, 100,000, 50,000, and 20,000 Da) on the removal. The experimental conditions were as follows: K4[Fe(CN)6]-to-Fe molar ratio of 1.0, a reaction time of 4.0 h, a reaction temperature of 45 °C, and a stirring speed of 300 rpm. As the MWCO of the membranes was decreased, the ability of the membranes to separate small particles increased and the Fe content of the solution decreased linearly and reached a plateau, which was related to the size of the precipitate particles. Moreover, as the MWCO was decreased, the filtration rate decreased. In particular, at an MWCO of 20,000 Da, because of the small membrane pore size, which provided a large solid-phase surface area, zirconium sulfate crystals precipitated on the membrane surface, hindering filtration and causing Zr loss.
3.3. Physical and chemical properties of the system
The precipitation on the membrane is blue (Fig 3(a)). Precipitation is made up of smooth surface particles (Fig 3(b)), and the size of the particles is about dozens of microns. The particle size of the particle was measured using the Nano Measurer (Fig 3(c)), indicating that the particle size of the particle was mainly in the 2-32.9μm, and was accompanied by a very small number of large particles, with an average diameter of 14.85μm. In addition, the surface charge and particle size of the precipitated particles directly affect the removal of iron, so the ZetaPALS(Brook Havenus, US) and Laser particle size analyzer(Mastersizer 2000)were used to analyze the Zeta potential and particle size distribution of the precipitate, as shown in Fig. 4.
The size of the particle is between 6.6-30.2μm, and the average particle size is 16.581μm, the results of the laser particle size analyzer and Nano Measurer were similar. At present, the speed filter paper aperture of the market is 10-15μm, which can not effectively filter the precipitation, so the choice of ultrafiltration is better. To increase the particle size, the surface potential of the particle is one of the key factors of particle growth[60]. As shown in the particle's potential diagram (Fig. 4 (b), the zeta potential on the particle surface was negative in the range of -20 mV to -55 mV. The electrostatic repulsion could be eliminated and the particle should be gathered together, according to DLVO theory. Therefore, the addition of cationic flocculants can reduce the electrostatic repulsion between particles and promote the growth of particles. In this study, cationic polyacrylamide was selected as the flocculant.
3.4 Iron removal with flocculant
The effect of different flocculant dosages (0, 0.1, 0.2, 0.5, and 1.0 wt%) on the efficiency of iron removal was investigated with the K4[Fe(CN)6] dosage of 1.2 g, the reaction time of 4.0 h, reaction temperature of 25 °C, the membrane of 50,000 Da, and stirring speed of 300 rpm. The results are shown in Fig. 5.
With the flocculant addition, the iron content in the liquid after iron removal begins to decrease, and the zirconium loss increases. At 0.1wt % flocculant dosage, the iron content reached the lowest at 3.8 mg/L and then began to increase, while the zirconium loss reached the maximum at 0.1wt % flocculant dosage and then gradually decreased. This is because, with the addition of a flocculant, zirconium sulfate and precipitated particles grow up together. When the dosage is greater than 0.1wt %, the flocculant acts as a dispersant[61], impeding the growth of precipitated particles and reducing zirconium loss, ultimately leading to a poor iron removal effect.
3.5. Physical and chemical properties of the system upon flocculant addition
The particle size distribution and zeta potential of the precipitate in the presence of the flocculant are shown in Fig. 6.
Upon adding polyacrylamide cationic flocculant to the post-Fe-removal mixture, the zeta potential of the precipitate particles shifted from negative to approximately zero, which effectively prevented electrostatic repulsion. Consequently, the effective particle size was increased to 133.137 µm and was better for filtration.
The precipitated particles after flocculation were measured using Nano Measurer, and the particle size is shown in Fig. 7.
The particle size distribution is between 22.7-220.3μm, and the average particle size is 87.45μm. Particle size has several times or even tens of times of growth after adding flocculant. In addition, SEM images before and after adding the flocculant are shown in Fig. 8.
Before the adding flocculant, the precipitated particles were relatively dispersed, with the particle size mainly distributed within 2-15μm, and a few particles above 40μm (Fig. 8 (a)). After the addition of the flocculant, small particles gather together to form dozens or even hundreds of micron aggregates (Fig. 8 (b) (c) (d)), which is easier to filter and separate. The composition of Fig. 8(c) particles was analyzed by scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS), the result is shown in Fig. 9.
As can be seen from the Fig. 9, iron and zirconium are evenly distributed. Zr2(SO4)3 crystals precipitate with Fe4[Fe(CN)6]. It also proved that the decrease in iron content in Fig. 8 would increase the loss of zirconium sulfate. In addition, atomic force microscopy (AFM) of the membrane surface before and after adding the flocculant is shown in Fig. 10.
Before adding the flocculant, the filter membrane roughness was low (mean roughness (Sa) 1.31 nm), and the particles were small. The peak height and peak width of the sampled particles were about 20nm and 0.5 μm, respectively (Fig. 10 (a)). After flocculant addition, the filter membrane roughness increased considerably (mean roughness (Sa) 30.15 nm) and the number of particles decreased. The height of the particle peak reached 240 nm, and the width was approximately 2.5 μm (Fig. 10 (b)).
3.6. Mechanism of the precipitation—flocculation—ultrafiltration process
The above results can be summarized to ascertain the mechanism of deep iron removal, as shown in Fig. 11.
When a precipitation–ultrafiltration process is used, small precipitate particles with negatively charged surfaces are produced. Owing to electrostatic repulsion, the particles cannot grow, and the small particles cannot be separated via ultrafiltration, as illustrated in Fig. 11(a). Upon adding a cationic flocculant to the system, the surface charge of the particles was neutralized, and the electrostatic repulsion between them was eliminated, allowing the particles to grow and promoting their separation via ultrafiltration, as presented in Fig. 11(b).