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Original article
2021
:14;
202107
doi:
10.1016/j.arabjc.2021.103231

Invent of a simultaneous adsorption and separation process based on dynamic membrane for treatment Zn(II), Ni(II) and, Co(II) industrial wastewater

Department of Chemical Engineering, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
Department of Chemical Engineering, North Tehran Branch, Islamic Azad University, PO Box 1651153311, Tehran, Iran
Process Development and Equipment Technology Division, Research Institute of Petroleum Industry, Tehran, Iran

⁎Corresponding author. aliaghababai@yahoo.com (Ali Aghababai Beni)

Disclaimer:
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.

Abstract

Heavy metal ions wastewater threatens the environment. Removal of heavy metal ions at low concentrations using bio-sorbents is a new solution, but separating the adsorbent from the fluid is also difficult and costly. In this work, a plug reactor equipped with the dynamic membrane (DM) was used for the adsorption of Zn (II), Co(II), and Ni(II) ions from industrial wastewater. DM module equipped with vibrators for decreased membrane fouling. Central composite design (CCD) was applied to the experiments design. Brunauer–Emmett–Teller (BET) theory, scanning electron micro-scope (FE-SEM), and Fourier transform infrared spectroscopy (FT-IR) were employed to characterize and analyze. The Sargassum glaucescens nanoparticles (SGN) and hydroxyapatite with 50–150 n m and 10–20 μ m of particle size and 12.99–172.46 m 2 g - 1 of specific surface area were tested as adsorbent. DM support prepared with electrospinning of chitosan (Cs) and polyvinyl alcohol (PVA) on the polyester web. Cs/PVA nanofibers were cross-linked with the heat at 110 °C for 10 h . Membrane resistance and index fouling were calculated at different transmembrane pressure (TMP) and corresponding flux. In this study, the removal efficiencies of heavy metal ions and turbidity were obtained more than 90%.

Keywords

Adsorption
Cs/PVA nanofiber
Sargassum glaucescens nanoparticles
Hydroxyapatite powder
Dynamic membrane
1

1 Introduction

In the present century, population growth and meeting various human needs have increased water consumption. Therefore the volume of effluent from various urban and industrial sources has increased. One of the most dangerous effluents is heavy metal wastewater, which has a high potential for contamination of food sources and can lead to a variety of cancers in the human body (Xu et al., 2020). There are many reports on different methods of treatment of heavy metal wastewaters, such as: Coagulation and flocculation, Ion exchange, photocatalysis, reverse osmosis, nanofiltration, microfiltration, ultrafiltration, distillation technologies and adsorption (Benjelloun et al., 2021); but traditional methods to treat wastewater with low concentrations of heavy metal ions are inefficient given the cost and waste of operations (Leong and Chang, 2020). In recent years, biosorption has attracted the attention of scientists as biosorbent sources are free and have high adsorption capacity (Beni and Esmaeili, 2019). Different types of biosorbents are used for this purpose, for example, Sargasom algae showed a high capacity to absorb heavy metal ions (Qin et al., 2020) or hydroxyapatite from bone (Al-Ahmed et al., 2020). The chemical modifies and geometrical deformation of adsorbents are attractive topics to increase yield and reduce operating costs. Preparation of adsorbent at the nano size can increase adsorption kinetics and adsorption capacity (Zhou et al., 2017). For example, the electrospinning technique provides the nanofibers with high flexibility, stability and selectivity (Esmaeili and Beni, 2014); such as cellulose acetate/hydroxyapatite nanofiber (Hamad et al., 2020) or, β-cyclodextrin/chitosan/polyvinyl alcohol nanofiber (Fan et al., 2019). Despite the development of the nano-sized adsorbents synthesis, the separation of nano-sized adsorbents from the aqueous phase after the adsorption process is difficult and costly (Chandrashekhar Nayak et al., 2020). So, dynamic membranes are an attractive alternative to solid–liquid separation (Alibardi et al., 2016a).

Dynamic membrane (DM) is a new technique in industrial wastewater treatment (Guan et al., 2018b). In the DM process, a layer of wastewater material (cake layer) is formed on the support membrane (fabric, filter, stainless steel mesh or nonwoven fibers) (Ersahin et al., 2014). The DM consists of a cake layer and a gel layer on top of the cake layer, the structure of the gel layer is similar to a normal membrane, which plays an important role in DM permeability. The DM process consists of three steps: i) The cake layer formation, ii) Stable filtration and, iii) DM cleaning for regeneration. Liu et al. (Liu et al., 2009) defined four stages for cake layer formation: substrate formation, separation layer formation, fouling layer formation and filtration cake formation. Cake layer formation and DM stability depend on the membrane support and operating conditions.

Membrane support with 100 μ m of mesh size has higher outflow flux (up to 1000 L h - 1 m - 2 ); but, this mesh size increases the time of the cake layer formation, considerably and the solid particles leave the membrane system. The stable mode is dependent on the deposition of suspended solids in the fluid. In a stable mode, the flux output is approximately 120–50 L h - 1 m - 2 and the filtration time could vary from several hours to several days (Alibardi et al., 2016b). One of the obstacles to the development of DM is the mass accumulation on the cake layer and reduction in permeability (Guan et al., 2018a). Membrane fouling is relieved using air and water flow across the membrane support or brush without chemicals (Alibardi et al., 2018).

Low cost, low power consumption and easy cleaning are the advantages of DM because the filtration resistance is less than the micro and ultrafiltration, transmembrane pressure (TMP) is low and the DM process can be achieved using the force of gravity (Li et al., 2018). Previous studies have reported the use of DM in activated sludge systems in municipal wastewater treatment, but the DM process for heavy metal wastewater treatment in a non-living system has not been reported. Separation of nanoparticle size adsorbents from the effluent is a major problem. In this study, SGN and hydroxyapatite powder was used for adsorption and then separated with Cs/PVA nanofibers as DM support. This system is an innovation because the mixing of adsorbent and effluent is done without the use of a mechanical stirrer. In this system, adsorbent particles are used to form a dynamic membrane. Therefore, separation of adsorbent nanoparticles from the treated wastewater is performed at a low cost. A creative idea was used in the design of the membrane module, small vibrators were used around the membrane support to reduce membrane fouling and keep the process stable.

2

2 Experiment

2.1

2.1 Material

Chitosan (average Mw200,000), polyvinyl alcohol (average Mw72,000) from Sigma–Aldrich and Acetic acid (glacial) 100% was obtained from Merck. Sargassum glaucescens was collected from the Oman Sea on the coast of Chabahar, Iran. Nonwoven polyester fabric was purchased from Baftineh, Iran. Bovine bones were prepared and cleaned of meat. Industrial wastewater was collected from shahrekord industrial park, Iran. The wastewater details are given in Table 1.

Table 1 Wastewater details at each stage of the process (at 17.7 °C).
Characteristic Untreated wastewater Treated wastewater
pH 6.362 6
Turbidity (NTU) 154.46 13.90
Electrical Conductivity ( μ s c m - 1 ) 2750 2712
Settleable Solids ( m g L - 1 ) 105 8
Chemical Oxygen Demand ( m g L - 1 ) 96 14.5
Co(II) ( m g L - 1 ) 8.41 0.160
Zn(II) ( m g L - 1 ) 14.72 0.618
Ni(II) ( m g L - 1 ) 23.81 0.762

2.2

2.2 Preparation of dynamic particle and DM support

According to Fig. 1a SGN was washed twice with water. It was dried at 80 °C for 20 h in the oven and crushed with a high-energy planetary ball mill (Fara Pajouhesh, Isfahan FP2, Iran) at 600 rpm for 2 h. The bovine bones were boiled in water four times at 120 °C for 3 h , 4 times and all the fat of bovine bones was removed. The bones were washed and crushed in the range of 2–5 m m . Bovine bone was calcined to 850 °Cfor 6 h in the furnace, and then hydroxyapatite was crushed to the particle size range of 10–20 μ m using a kitchen mill (Pars Khazar, GR-1.2.3P, Iran) for 20 m i n .

Schematic of DM preparation steps (a), Schematic of the DM filtration process and DM cake after 60 min (b), the perspective drawing of membrane module (c) and, strategy of experiments and methodology (d).
Fig. 1
Schematic of DM preparation steps (a), Schematic of the DM filtration process and DM cake after 60 min (b), the perspective drawing of membrane module (c) and, strategy of experiments and methodology (d).
Schematic of DM preparation steps (a), Schematic of the DM filtration process and DM cake after 60 min (b), the perspective drawing of membrane module (c) and, strategy of experiments and methodology (d).
Fig. 1
Schematic of DM preparation steps (a), Schematic of the DM filtration process and DM cake after 60 min (b), the perspective drawing of membrane module (c) and, strategy of experiments and methodology (d).

The Cs (5 w t . % ) and PVA (10 wt%) solution were dissolved in acetic acid (2%, v\v) and were stirred for 18 h at 45 °C. Then, Cs and PVA were blended at a ratio of 7:3 on the magnetic heater stirrer for 24 h at 45 °C. The polyester web was installed on the collector at 50 °C The Cs/PVA solution was electrospanned on the polyester web at a high DC voltage of 20 KV, with a tip-collector distance of 17 c m and a flow rate of 0.6 m l h - 1 . In order to heat-cross-linking, the Cs/PVA nanofiber membrane was placed in the oven at 110 °C for 10 h .

2.3

2.3 Design process

A plug reactor was designed from a plastic pipe with a length of 16 m and an internal diameter of 12 mm. This long pipe was wrapped around a cylinder with a diameter of 100 mm. The input of the plug reactor was connected to a wastewater tank with a pump (Water Pump, 12 Volts). According to Fig. 1b, the effluent was mixed with the adsorbent (SGN and hydroxyapatite powder) in a circular flow inside the plug reactor.

According to Fig. 1c the membrane module made of two polyethylene pieces. The DM support (Cs/PVA nanofiber @ polyester) was installed between polyethylene pieces (DM support diameter = 20 mm). Four small vibrators (vibration DC, 5 Volt, 1500 round per minute, Taiwan) were installed in the piece. This system was equipped with an air compressor to fluid flowing through the DM (Positive pressure TMP). A valve was installed at the down of the polyethylene tube for rapid evacuation.

2.4

2.4 Measurement and methods

The heavy metal ions concentration was determined with atomic absorption spectrometry (Varian Atomic Absorption 240, USA). Turbidity was measured with a turbidity meter (ET266020, Lovibond Corporation, Germany). Nanofiber and nanoparticles morphology were studied using scanning electron microscope (FEI Quanta 200 SEM, USA). Functional groups of DM elements were determined with FT-IR spectra in the range of 400–4000 c m - 1 (Nicolet 8700, Thermo Fisher Scientific, Japan). The structure of hydroxyapatite was analyzed using X-ray diffraction (Philips PW3040). The specific surface area of dynamic membrane was determined using the Brunauer–Emmert–Teller method (Costech International Sorptometer 1042, Italy). In order to determine the stability of Cs/PVA nanofiber membranes, deswelling experiments were done on the platform shaker. The pieces of Cs/PVA nanofiber membrane ( 10 m m × 10 m m ) were immersed in 50 m L of deionized water at 25–45 °C for 24 h Degree of deswelling was calculated from Eq. (1):

(1)
D e s w e l l i n g % = W w - W d W d × 100 where W d is the mass of the dried Cs/PVA nanofiber membrane and W w is the wet mass for the swollen Cs/PVA nanofiber membrane. The piece of membrane was removed from the water and was kept in the laboratory environment for 2 min to remove the extra droplets, then , W w was weighed.

2.5

2.5 Adsorption and separation experiments

2000 m l of wastewater including Co(II), Zn(II) and Ni(II) ions was pumped in the plug reactor. The wastewater and adsorbents contacted during a circular flow in the plug reactor; Co(II), Zn(II) and Ni(II) ions were adsorbed onto the hydroxyapatite powder and SGN. This mixture (wastewater and adsorbents) was introduced into the tube of DM module, in several cycles (Each charge = 400 m l ). The hydroxyapatite powder and SGN were remained on the DM support and the DM cake was formed.

Fig. 1d shows the strategy of experiments and methodology. Experiments were done in three Sections: i) Adsorption: optimizing parameters affecting in the adsorption process in the plug reactor: The effect of pH 4–9 at SGN = 6 g , hydroxyapatite powder = 4 g and, Cs/PVA nanofiber@ polyester web = 10 m g with retention time of 40 min. The effect of adsorbent mass SGN = 2–10 g , hydroxyapatite powder = 1–5 g (Fig. S4 c) at optimized pH and retention time = 40 min. The effect of retention time 10–120 min at optimized adsorbent mass and pH. Experiments were performed at constant room temperature 28 °C to make the process cost-effective. This section was independent of the next two section.

ii) Separation: optimizing mass of SGN and hydroxyapatite powder and, interval between two vibration shocks at constant TMP (0.2 b a r ) with standard response surface methodology (RSM) design called CCD at the Design-Expert 11 software. Table S1 shows the ranges as well as coded and un-coded levels of the variables considered in this study.

iii) Optimization of TMP: experiment of filtration at different TMP (Fig. 3a) at optimized conditions.

Characterization of DM: The SEM image and diameter distribution of Cs/PVA nanofiber membranes (a), SGN (b) and hydroxyapatite powder (c), FT-IR spectra of Cs/PVA nanofiber membranes, SGN and hydroxyapatite (d) and deswelling test of nanofiber membranes (e), X-ray diffraction profile of hydroxyapatite (f).
Fig. 2
Characterization of DM: The SEM image and diameter distribution of Cs/PVA nanofiber membranes (a), SGN (b) and hydroxyapatite powder (c), FT-IR spectra of Cs/PVA nanofiber membranes, SGN and hydroxyapatite (d) and deswelling test of nanofiber membranes (e), X-ray diffraction profile of hydroxyapatite (f).
TMP profiles (a), Instantaneous membrane flux profiles (b), TMP effect on the removal efficiency of turbidity (e) and DM resistance profiles (f).
Fig. 3
TMP profiles (a), Instantaneous membrane flux profiles (b), TMP effect on the removal efficiency of turbidity (e) and DM resistance profiles (f).

In the output of plug reactor, the removal efficiency of heavy metal ions (R%) and adsorption capacity ( q e ) were calculated using Eq. (2) and Eq. (3), respectively:

(2)
R % = C 0 - C t C 0 100
(3)
q e = C 0 - C t V M
where C 0 is the initial concentration ( m g L - 1 ) of heavy metal ions, C t is any of the heavy-metal ion concentrations ( m g L - 1 ) at arbitrary time t and, M is the adsorbent mass (g) added to V volume of the solution (L). In the DM permeate, the removal efficiency of turbidity ( R T %) was calculated using Eq. (4):
(4)
R T % = T 0 - T t T 0 100
where T 0 is the effluent turbidity ( N T U ) of plug reactor output, T t is effluent turbidity ( N T U ) at arbitrary time t, output of DM.

2.6

2.6 DM resistance and fouling index

In the cake filtration model, membrane fouling led to the deposit of foulant material on the external surface of the membrane, which increased resistance (Choi et al., 2009) DM resistance was calculated using Eq. (5) (Tong et al., 2011):

(5)
R = T M P μ J 3600 where R is the total hydraulic resistances of DM ( m - 1 ), T M P is the trans-membrane pressure ( P a ), μ is water viscosity ( P a s ), J is the instantaneous membrane flux ( m 3 m - 2 h - 1 ) and, 3600 is a conversion factor for converting seconds to hours.

Harouna et al. (Mahamadou Harouna et al., 2019) developed the first order derivative equation by finite difference methods and conducted a direct comparison of the membrane fouling under different conditions. The fouling index ( m - 1 ) was calculated using Eq. (6) (Xiong et al., 2016):

(6)
Fouling i n d e x = - 1 J 0 d J d ( V A ) where J and J 0 are the filtrate flux and initial flux, respectively ( m 3 m - 2 h - 1 ), V A is the specific throughput ( m ). Almost all the fouling index are being investigated for reverse osmosis, ultrafiltration and nanofiltration process, but in this research, for DM, J vs. V A was plotted and slope d J d V A was calculated, thereafter, fouling index was obtained.

3

3 Results

3.1

3.1 Characterization of DM

The SEM of Cs/PVA in Fig. 2a showed that electrospanning produced a homogeneous and microporous nanofiber. The nanofibers have an average diameter and surface area of 95.5 n m and 172.46 m 2 g - 1 , respectively (Fig. S1 a). The Cs/PVA nanofiber membrane put in the oven at 110 °C for 10 h to cross-linking and nanofiber membrane stability in the aqueous solution was increased. Cross-linking leads to a decrease in polar O - H groups (Fig. S2), and water resistance increases (Tian et al., 2019). Cross-linked and non-cross-linked membrane stability was compared in Fig. 2e. For non-cross-linked membranes in the range of 10–20 h at 25–45 °C the degree of deswelling reached 60 % , while under this condition, deswelling degree of cross-linked membrane decreased by only 20%. According to previous results (Esmaeili and Beni, 2014), the high stability degree of the Cs/PVA nanofiber membranes in the aqueous medium with 350 % of the average deswelling degree indicates that the heat cross-linked is a more suitable method than cross linking by glutaraldehyde vapor with 93 % of average deswelling degree (Aliabadi et al., 2014).

The SGN was obtained with average size of 50–120 n m (Fig. 2b). In previous work (Akbar Esmaeili and Aghababai Beni, 2015), SGN were produced within 1 h in the planetary ball mill with range of 30–300 nm and a specific surface area of 11.25 m 2 g - 1 , but in this work, planetary ball mill worked for 2 h ; the specific surface area of SGN with BET analysis was obtained as 12.99 m 2 g - 1 (Fig. S1 b) and according to Fig. 2b, this nanoparticle average diameter was observed 95.6 nm. Also, the SEM of hydroxyapatite powder in Fig. 2c shown, the particle diameter is about 10–20 μ m . There are two reasons that SGN are nano-size but hydroxyapatite particles are not nano-size: SGN precipitate in the effluent after a short time; but nano-hydroxyapatite is very stable in the aqueous phase and does not precipitate easily; also, to create proper porosity in the dynamic membrane, the presence of a micrometer-sized particle is necessary to prevent membrane fouling.

According to FT-IR results in Fig. 2d, on the hydroxyapatite spectrum, free O - H bands are indicative at 3580 c m - 1 . The absorption bands from 947 to 1080 c m - 1 were assigned to the phosphate esters stretching R - P with two strong bands at 965 and 1048 c m - 1 , while Googerdchian et al. (Googerdchian et al., 2018) reported that the phosphate is visible from 460 to 1100 c m - 1 . In the Cs/PVA, SGN and hydroxyapatite spectrums, the vibrational band of from 2900 c m - 1 was attributed to C - H stretching of the alkyl groups. The broad and strong vibration around 3200 to 3400 c m - 1 is indicative of O - H stretching in H-bonded type of vibration and the strong peak at 1390 c m - 1 was assigned to the C H 2 and C H 3 stretching vibrations (Fan et al., 2019). The SGN for broad band at 3400 cm−1 was assigned to O—H stretching vibrations and other at 2900 cm−1 was C—H stretching. The stretching vibrations of carboxylate O—C—O related to 2889 cm−1. The C⚌O signal related to 1566 cm−1 SGN and hydroxyapatite spectrums, respectively. The absorption 415 cm−1 related to C—OH vibration and O—C—O (carboxylate group) stretching vibration for SGN. The bands measured at 1311, 1080 and 1029 cm−1 related to C—C—H and O—C—H, to C—O stretching vibrations. The bands C—O and C—C vibrations of rings. The band 946 cm−1 in SGN indicated of bond presence by the C—O stretching vibration hydroxyapatite spectrums. XRD pattern of hydroxyapatite was shown in Fig. 2f. It can be seen that the prepared hydroxyapatite belongs to the hexagonal structural type of hydroxyapatite with space group P 6 3 / m . According to Fig. S1 c, the water contact angle test of Cs/PVA nanofiber @ polyester web and DM (Cake layer) after separation process shown DM is hydrophilic.

3.2

3.2 Adsorption studies in the plug reactor

Adsorption of heavy metal ions onto adsorbents involves a combination of various mechanisms such as electrostatic adsorption, complexation, ion exchange, covalent forces, Van der Waals forces and surface adsorption (Esmaeili and Aghababai Beni, 2018). The pH is very important in the adsorption process with effects on the adsorbents-ion reactions (Beni, 2021). According to Fig. S3a, at pH = 6 adsorption efficiency was more than 95%, while at pH 3 and 9 the adsorption efficiency decreases. When the pH of the neutral metal ion solution was alkaline, the ions were converted to insoluble hydroxide (Googerdchian et al., 2012).

The stability of the membrane support layer was evaluated at acid and alkaline conditions. The pieces of Cs/PVA nanofiber@ polyester web (DM support) were contacted with a 200 ml wastewater sample for 40 min at pH 4, 6 and 8. According to Fig. S3b, at pH = 6 the stability of Cs/PVA nanofiber@ polyester was highest; these results showed that most heavy metal ions are adsorbed by SGN and hydroxyapatite (DM cake) compared to CS/PVA nanofibers. In the previous study, the optimum pH for the removal of Ni(II) and Co(II) by SGN and Cs/PVA nanofiber (Esmaeili and Aghababai Beni, 2018) at pH = 6 was optimized. Googerdchian et al. (Googerdchian et al., 2018) reported pH = 3 is suitable for the Pb(II) adsorption with nano-hydroxyapatite. At low pH the concentration of H + ions is high and causes protons to bind to functional groups in the adsorbent active sites and to interfere with the binding of metal ions and adsorbents (Beni and Esmaeili, 2020). The adsorbent mass and composition ratio were tested according to the pattern in Fig. S3c. The results showed that with increasing the adsorbent mass: the removal efficiency of heavy metal ions increased but the adsorbent capacity decreased. Previous results showed the SGN capacity for Ni(II) and Co(II) adsorption is about 7–9 and 2–3 m g g - 1 , respectively (Esmaeili and Aghababai Beni, 2015). Googerdchian et al. (Googerdchian et al., 2018) synthesized nanohydroxyapatite from bovine bone for Pb(II) adsorption with 180 m g L - 1 of concentration and adsorption capacity reported 200 m g g - 1 . Therefore, by using 6 g of SGN and 5 g hydroxyapatite powder, more than 90% of the heavy metal ions were removed. The SGN and hydroxyapatite are widely used in the wastewater treatment due to their low cost, high adsorption capacity and high removal efficiency (Beni and Esmaeili, 2020).

As shown in Fig. S3d, the adsorption process was very fast. At 10 m i n of retention time, the removal efficiency was about 60%, at 30 and 90 m i n the removal efficiency was 94% and 98%, respectively. The system was received to pseudo-equilibrium after 40 m i n .

3.3

3.3 Separation process in the DM module

3.3.1

3.3.1 Optimization of DM effective factors

The 3D surface response plot was used to investigate the effects of interaction between the SGN mass, hydroxyapatite powder mass and interval between two vibration shocks on the removal efficiency of turbidity. The quadratic effects such as the interaction effects between X 1 , X 2 and X 3 were considered moderate. Fig. S6 a shows the effect of SGN and hydroxyapatite mass on the yield of turbidity removal ( Y 1 ) at 5 s of interval between two vibration shocks. DM performance depends on the external surface of particles, shape and density of particles, solution concentration and quality of the agitator (Li et al., 2019). Table 2 compares different DM materials and yield of DM process. According to the experiment results, the turbidity removal efficiency was 91% at these conditions: 10 g of SGN and 5 g of hydroxyapatite powder with 5 s of interval between two vibration shocks. According to Fig. S6 b (at X 1  = 10 g and X 2  = 5 g ) with increasing the interval between two vibration shocks ( X 3 ) , a yield of turbidity removal ( Y 1 ) was improved because the local shock reduces and DM has the opportunity of becoming more stable. Optimization was evaluated using software optimization strategy. The software suggested 100 optimization strategy, as shown ramp in Fig. S5, first optimization strategy with 0.957 of desirability was selected.

Table 2 Comparison of DM Properties.
Ref. Removal efficiency Particles size ( μ m ) specific surface area ( m 2 g - 1 ) Material dose ( g L - 1 ) DM material
(Wu et al., 2017) 80% COD 43 1126.06 15 Powder activated carbon
95% Turbidity
(Hu et al., 2017) 88% COD 29.4 1100 3 Powder activated carbon
98% Ammonia
37% Total phosphorus
(Hu et al., 2016) 91% COD 0.4–2000 3.9 Activated sludge
83% Turbidity
99% Ammonia
40% Total phosphorus
(Chu et al., 2014) 95% COD 11.54–29.76 5.56 Activated sludge
98% Ammonia
100% Total phosphorus
85% Total nitrogen
(Kim et al., 2017) 42.6% Algal organic matter 0.1 37.5 12.5 Iron oxide
1 Goethite
In this work 98.1% Co (II) 95.6 n m 12.99 5 SGN
96.8% Ni (II) 10-20 μ m 2.5 Hydroxyapatite
95.8% Zn (II) 95.5 n m 172.46 Cs/PVA nanofiber
91% Turbidity

3.3.2

3.3.2 TMP profile and filtration resistance of DM

The instantaneous membrane flux has a direct relationship with TMP, experiments started using a constant TMP 0.2 b a r , after 4 m i n , instantaneous membrane flux was 2870 L m - 2 h - 1 and after 8 m i n , i t decreased by 20% of the initial flux. According to Fig. 3b, the pattern of instantaneous membrane flux was reduced with quick slope after 8, 12 and 36 m i n , because thickness of the cake layer increased significantly. At constant pressure and with the passage of the time, membrane flux decreases. Almost in all membrane bioreactor was the DM cleaned when flux decreased by 10% relative to the initial flux (Alibardi et al., 2016b). The increase in TMP was done to compensate membrane flux (Tong et al., 2011) in the second series experiments. Increasing the TMP or the DM cleaning affects the membrane stability. In line with our results, Saleem et al. (Saleem et al., 2017) showed that almost all NTU values became stable after the first few minutes (7 m i n ); while, in other systems DM can became stable after 1–2 days. Alibardi et al. (Alibardi et al., 2016a) showed that the anaerobic dynamic membrane bioreactor reached a stable mode after approximately three months; they reported the use of support mesh with large pore size of 200 μ m and stable fluxes at TMP values lower than 0.1 b a r were made. In this work, the DM reconstruction and membrane development to stable mode was rapid. The DM resistance is a function of physical and chemical properties of the fluid, membrane flux and TMP. In general, increased DM resistance results in increased permeate quality (Saleem et al., 2018).

According to Fig. 3c turbidity removal efficiency was measured at different TMP profile. By appropriate support can be improved performance of DM such as DM formation time. Time in the DM process is affected to support pore size; for example, if pore size of mesh was 10 μ m , DM formation time would be rapid, but membrane fouling will increase, therefore was selected mesh with 25 μ m of pore size; DM formed at lower than 5 m i n with membrane flux was acceptable (46–85 L m - 2 h - 1 ) (Hu et al., 2016). In this filtration process DM formation was rapid because this DM system was made of non-living algae nanoparticle without biological metabolisms; also DM support coating with Cs/PVA nanofiber and polyester web pore size was improved. So, the pore size of DM supports mesh affected the DM formation, operation stability and TMP.

In Fig. 3d, four stages are visible based on variations in membrane resistance: in stage 1, the resistance value is constant. In stage 2, the resistance increases at low rates. In stage 3, the rate of resistance increases quickly and then at stage 4, the resistance to its maximum value remains almost constant. By increasing the process, time resistance increases because the thickness of the cake layer increases and the membrane flux decreased. Comparing the TMP profiles in Fig. 3a and membrane resistance profiles in Fig. 3d, it was observed that the effect of increase in TMP on the resistance was very high than passing time. Therefore, after 28 m i n , a drain valve was rapidly opened and closed at the bottom of the membrane module; adsorbent concentrated fluid 300 ml was drained (The DM cake layer was removed) and the cycle continued, DM resistance decreased from 1.097 × 10 11 to 4.696 × 10 10 m - 1 . Also, an increase in TMP was not necessary with this strategy.

3.4

3.4 Effect of vibration on DM performance

Experimental condition was set in optimal state, DM filtration process was performed for 28 m i n without vibration and DM resistance was calculated. When the vibrator turned off, according to Fig. 4a-b, the instantaneous membrane flux was decreased, resistance increased and removal efficiency of turbidity was improved because DM was made with dense layers. Roebuck and Tremblay (Roebuck and Tremblay, 2016) synthesized highly porous 3D network of mono-dispersed particles without compressed; so, the membrane resistance was not increased. Turn on vibrator prevented DM layer condensation and reduced fouling index from 1.040 to 0.798 m - 1 . The cross-flow can be used to remove the attached sludge from the surface of DM support (Liu et al., 2009), whereas, in this research, the DM backwashed after 56 m i n filtration with 500 ml water at pressure of 12 bar for 30 s (Gasemloo et al., 2019). The vibrator placed DM particles in the best orientation; the large DM particles were placed close to the support layer (Fig. 4c). In vibrator “off” state, DM support layer lost its quality, after backwashing because nanoparticles were imprisoned between polyester base and PVA/Cs nanofibers. It should be noted that a continuous activation of the vibrator was inappropriate because it prolongs the formation of DM layer, also the removal efficiency of turbidity reduced severely, so according to the optimization results, Fig. S5 selected 5 s “on” and 5 s “off” pattern by programmable switch for the vibrator.

Schematic diagrams of DM filtration in vibrator “on” and “off” mode (a), the effect of turning off the vibrator on DM resistance (b) and removal efficiency of turbidity (c).
Fig. 4
Schematic diagrams of DM filtration in vibrator “on” and “off” mode (a), the effect of turning off the vibrator on DM resistance (b) and removal efficiency of turbidity (c).

4

4 Conclusion

Treatment of effluents contaminated with heavy metal ions is very important before entering the environment. SGN and hydroxyapatite powder had a high adsorption capacity to adsorb Ni(II), Co(II) and Zn(II) ions from industrial wastewater. In this study, a new design of a plug reactor was developed. In this design, the adsorbent particles were mixed with the wastewater effectively and completely. The adsorbent was separated from the treated wastewater using the DM method. The Cs/PVA nanofiber @polyester web was cross-linked by the thermal method as DM supports. The cake layer formed rapidly on the DM support with adsorbent dynamic particles. The results shown, the instantaneous membrane flux is inversely related to the thickness of the cake layer. The backwashing DM prevented the output flux reducing. Continuously activating the vibrator makes it impossible to form a stable DM and turbidity increases in output flux. The adsorption was dependent on the pH. Also, the retention time, dynamic particles and vibration shocks optimized.

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.

References

  1. , , , , , . Dye removal, antibacterial properties, and morphological behavior of hydroxyapatite doped with Pd ions. Arab. J. Chem.. 2020;13:8626-8637.
    [CrossRef] [Google Scholar]
  2. , , , , . Design and evaluation of chitosan/hydroxyapatite composite nanofiber membrane for the removal of heavy metal ions from aqueous solution. J. Taiwan Inst. Chem. Eng.. 2014;45:518-526.
    [CrossRef] [Google Scholar]
  3. , , , , . Anaerobic dynamic membrane bioreactor for wastewater treatment at ambient temperature. Chem. Eng. J.. 2016;284:130-138.
    [CrossRef] [Google Scholar]
  4. , , , , , . Assessment of dynamic membrane filtration for biological treatment of old landfill leachate. J. Environ. Manage.. 2018;213:27-35.
    [CrossRef] [Google Scholar]
  5. , , , , , . Analysis of fouling development under dynamic membrane filtration operation. Chem. Eng. J.. 2016;312:136-143.
    [CrossRef] [Google Scholar]
  6. , . Design of a solar reactor for the removal of uranium from simulated nuclear wastewater with oil-apatite ELM system. Arab. J. Chem.. 2021;14:102959
    [CrossRef] [Google Scholar]
  7. , , . Biosorption, an efficient method for removing heavy metals from industrial effluents: a review. Environ. Technol. Innov.. 2020;17:100503
    [CrossRef] [Google Scholar]
  8. , , . Design and optimization of a new reactor based on biofilm-ceramic for industrial wastewater treatment. Environ. Pollut.. 2019;255:113298
    [CrossRef] [Google Scholar]
  9. , , , , , . Recent advances in adsorption kinetic models: their application to dye types. Arab. J. Chem.. 2021;14:103031
    [CrossRef] [Google Scholar]
  10. Chandrashekhar Nayak, M., Isloor, A.M., Inamuddin, Lakshmi, B., Marwani, H.M., Khan, I., 2020. Polyphenylsulfone/multiwalled carbon nanotubes mixed ultrafiltration membranes: Fabrication, characterization and removal of heavy metals Pb2+, Hg2+, and Cd2+ from aqueous solutions. Arab. J. Chem. 13, 4661–4672. https://doi.org/10.1016/j.arabjc.2019.10.007.
  11. , , , , . A systematic approach to determine the fouling index for a RO/NF membrane process. Desalination. 2009;238:117-127.
    [CrossRef] [Google Scholar]
  12. , , , , , , . Dynamic membrane bioreactor for wastewater treatment: Operation, critical flux, and dynamic membrane structure. J. Memb. Sci.. 2014;450:265-271.
    [CrossRef] [Google Scholar]
  13. , , , , . Applicability of dynamic membrane technology in anaerobic membrane bioreactors. Water Res.. 2014;48:420-429.
    [CrossRef] [Google Scholar]
  14. Esmaeili, A., Aghababai Beni, A., 2018. Optimization and design of a continuous biosorption process using brown algae and chitosan/PVA nano-fiber membrane for removal of nickel by a new biosorbent. Int. J. Environ. Sci. Technol. https://doi.org/10.1007/s13762-017-1409-9.
  15. Esmaeili, Akbar, Aghababai Beni, A., 2015. Novel membrane reactor design for heavy-metal removal by alginate nanoparticles. J. Ind. Eng. Chem. https://doi.org/10.1016/j.jiec.2014.11.023.
  16. Esmaeili, A., Aghababai Beni, A., 2015. Biosorption of nickel and cobalt from plant effluent by Sargassum glaucescens nanoparticles at new membrane reactor. Int. J. Environ. Sci. Technol. https://doi.org/10.1007/s13762-014-0744-3.
  17. , , . A novel fixed-bed reactor design incorporating an electrospun PVA/chitosan nanofiber membrane. J. Hazard. Mater. 2014
    [CrossRef] [Google Scholar]
  18. , , , , , , , , , . A novel electrospun Β-CD/CS/PVA nanofiber membrane for simultaneous and rapid removal of organic micropollutants and heavy metal ions from water. Chem. Eng. J.. 2019;378
    [CrossRef] [Google Scholar]
  19. , , , , , . Response surface methodology (RSM) modeling to improve removal of Cr (VI) ions from tannery wastewater using sulfated carboxymethyl cellulose nanofilter. J. Clean. Prod.. 2019;208:736-742.
    [CrossRef] [Google Scholar]
  20. , , , . Lead sorption properties of nanohydroxyapatite-alginate composite adsorbents. Chem. Eng. J.. 2012;200–202:471-479.
    [CrossRef] [Google Scholar]
  21. , , , , . Optimization of Pb(II) ions adsorption on nanohydroxyapatite adsorbents by applying Taguchi method. J. Hazard. Mater. Elsevier B.V. 2018
    [CrossRef] [Google Scholar]
  22. , , , , . Comparison of different chemical cleaning reagents on fouling recovery in a Self-Forming dynamic membrane bioreactor (SFDMBR) Sep. Purif. Technol.. 2018;206:158-165.
    [CrossRef] [Google Scholar]
  23. , , , , . Changes in the physical properties of the dynamic layer and its correlation with permeate quality in a self-forming dynamic membrane bioreactor. Water Res.. 2018;140:67-76.
    [CrossRef] [Google Scholar]
  24. , , , , , , . Electrospun cellulose acetate nanofiber incorporated with hydroxyapatite for removal of heavy metals. Int. J. Biol. Macromol.. 2020;151:1299-1313.
    [CrossRef] [Google Scholar]
  25. , , , , , . Towards stable operation of a dynamic membrane bioreactor (DMBR): operational process, behavior and retention effect of dynamic membrane. J. Memb. Sci.. 2016;498:20-29.
    [CrossRef] [Google Scholar]
  26. , , , , , , , , . Effects of powdered activated carbon addition on filtration performance and dynamic membrane layer properties in a hybrid DMBR process. Chem. Eng. J.. 2017;327:39-50.
    [CrossRef] [Google Scholar]
  27. , , , . Dynamic membrane filtration using powdered iron oxide for SWRO pre-treatment during red tide event. J. Memb. Sci.. 2017;524:604-611.
    [CrossRef] [Google Scholar]
  28. , , . Bioremediation of heavy metals using microalgae: recent advances and mechanisms. Bioresour. Technol.. 2020;303:122886
    [CrossRef] [Google Scholar]
  29. , , , . Diatomite enhanced dynamic membrane technology for simultaneous backwash sludge pre-dewatering and backwash wastewater recycling. J. Clean. Prod.. 2019;211:1420-1426.
    [CrossRef] [Google Scholar]
  30. , , , , . Dynamic membrane for micro-particle removal in wastewater treatment: performance and influencing factors. Sci. Total Environ.. 2018;627:332-340.
    [CrossRef] [Google Scholar]
  31. , , , , . Formation mechanism and structure of dynamic membrane in the dynamic membrane bioreactor. Chem. Eng. J.. 2009;148:290-295.
    [CrossRef] [Google Scholar]
  32. , , , , . Modeling of transitional pore blockage to cake filtration and modified fouling index – Dynamical surface phenomena in membrane filtration. Chem. Eng. Sci.. 2019;193:298-311.
    [CrossRef] [Google Scholar]
  33. , , , , , . The improved methods of heavy metals removal by biosorbents: a review. Environ. Pollut.. 2020;258
    [CrossRef] [Google Scholar]
  34. , , . Optimal aggregate size distribution for the formation of highly efficient nanosheet dynamic membranes. J. Memb. Sci.. 2016;514:143-154.
    [CrossRef] [Google Scholar]
  35. , , , , , . Analysis of fouling development under dynamic membrane filtration operation. Chem. Eng. J.. 2017;312:136-143.
    [CrossRef] [Google Scholar]
  36. , , , , , , . Application of anaerobic dynamic membrane bioreactor (AnDMBR) for the successful enrichment of Anammox bacteria using mixed anaerobic and aerobic seed sludge. Bioresour. Technol.. 2018;266:532-540.
    [CrossRef] [Google Scholar]
  37. , , , , , , , , . Electrospinning of polyvinyl alcohol into crosslinked nanofibers: an approach to fabricate functional adsorbent for heavy metals. J. Hazard. Mater.. 2019;378
    [CrossRef] [Google Scholar]
  38. , , , , , , , . Membrane fouling in an anaerobic dynamic membrane bioreactor (AnDMBR) for municipal wastewater treatment: characteristics of membrane foulants and bulk sludge. Process Biochem.. 2011;46:1538-1544.
    [CrossRef] [Google Scholar]
  39. , , , , , . Dynamic membranes of powder-activated carbon for removing microbes and organic matter from seawater. J. Memb. Sci.. 2017;541:189-197.
    [CrossRef] [Google Scholar]
  40. , , , . Fouling of microfiltration membranes by flowback and produced waters from the Marcellus shale gas play. Water Res.. 2016;99:162-170.
    [CrossRef] [Google Scholar]
  41. , , , , , , , , . Association between urinary metals levels and metabolic phenotypes in overweight and obese individuals. Chemosphere. 2020;254
    [CrossRef] [Google Scholar]
  42. , , , , . Biosorption of U(VI) by modified Hottentot Fern: kinetics and equilibrium studies. J. Environ. Radioact.. 2017;167:13-19.
    [CrossRef] [Google Scholar]

Appendix A

Supplementary material

Supplementary data to this article can be found online at https://doi.org/10.1016/j.arabjc.2021.103231.

Appendix A

Supplementary material

The following are the Supplementary data to this article:

Supplementary data 1

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