Introduction

Over recent years, various techniques such as physical, chemical and biological methods have been employed for wastewater treatment. However, among these methods, the biological treatment technology especially conventional activated sludge (CAS) systems is widely used for treating different types of wastewaters (Pell and Wörman 2011). Overall, in biological treatment systems reaching an optimal biodegradation capability are vital for more effective microcontaminants removal. As far as the degradation mechanism of some pollutants is unknown (Sipma et al. 2010), the biodegradation potential of such micropollutants is generally low specially in the CAS systems owing to low biomass concentrations and relatively low sludge age (Sipma et al. 2010). Generally, the more biomass concentrations provide more biodegradation capacity in the biological treatment systems. Nevertheless, imposing high biomass loading to these conventional systems is somewhat difficult due to poor sludge settling in this situation. Consequently, parts of the sludge end up in treated water which results in low quality of the treatment process (Matošić et al. 2009). So, some researchers have paid much attention to this issue and presented some methods to keep the microbial community at high level of concentration along with easy separation of sludge from treated effluent without enlarging footprint (Chan et al. 2009; Jianlong et al. 2000; Zinadini et al. 2015; Liang et al. 2010; Luostarinen et al. 2006; Andrade et al. 2014). Membrane bioreactors (MBRs) have recently attracted many attentions from this point of view. It has been documented in the literature an MBR, known as an amendment of the CAS process, employs membrane in place of clarifier to remove sludge from the treated water; thereby, suspended solids concentration within the bioreactor can be kept at a much higher level (Visvanathan et al. 2000; Rhoida Eco Services Group 1998). This technology presents several benefits in comparison with the CAS system (Cicek 2003; Matošić et al. 2009). Despite numerous advantages, the membrane fouling still remained as a serious barrier, and efforts are still under investigation to overcome this problem (Hai et al. 2005; Sombatsompop 2007). The membrane filtration is well recognized as a versatile technology and has been used in other popular biological treatment system called microbial fuel cell (MFC). The MFC as an efficient device is able to treat wastewater and also produce energy concurrently (Ghasemi et al. 2016a, b, 2017). However, the membrane technology is still perplexed by fouling problem and high capital cost. In this regard, also myriad studies have been conducted to lessen the relevant problems (Ghasemi et al. 2016a, b).

Ultrasound is defined by the high-frequency (> 16,000 Hz) propagation of pressure waves in a fluid (Gibson et al. 2009). The ultrasound is categorized into: (1) high-frequency and low-power (1–10 MHz range) ultrasound and (2) low-frequency and high-power (20–100 kHz) ultrasound, based on the frequency range (Mason 2007). At low frequencies, the bubble has more time to grow and therefore the cavitational collapse is more violent and larger, generating more powerful hydrodynamic shear forces (Bussemaker and Zhang 2014). Consequently, some researches are being done to improve mass transfer using the lower frequency range. Additionally, the special interests in the use of the low-frequency ultrasound are concentrated on disturbing particles and reducing their size (Gibson et al. 2009). By contrast, at the higher ultrasonic frequencies, cavitation bubbles are more difficult to form, and those produced are smaller and more stable (Mason and Lorimer 2002; Kanthale et al. 2008; Bussemaker and Zhang 2014). These thin bubbles cause the movement of fluid along transducer axis; then, produced acoustic waves hit the upper surface and return to the fluid. Thus, the microbial flocculation will be enhanced, and subsequently, the sludge settling time is decreased (Gondrexon et al. 1998). Therefore, considering effective role of ultrasonic waves in formation of the sludge flocs, Zinadini et al. (2015) have compared the process performance of two sequence batch reactors (SBR) with/without employing ultrasonic transducer. The obtained findings showed that the high-frequency ultrasound led to considerable enhancement in sludge settling velocity at high mixed liquor suspended solids (MLSS) of 5000 mg/L. In addition, Rezaee et al. (2014) examined simultaneous removal of carbon, nitrogen and phosphorus (CNP) in an innovative up-flow anaerobic/aerobic/anoxic bioreactor (UAAASB) induced by ultrasound. Based on their report, ultrasonic irradiation showed effective impact on the sludge settling velocity and effluent turbidity.

In this research, in order to enhance the CAS capacity with a similar performance to an MBR system but without the challenges associated with membrane filtration, an ultrasound-equipped activated sludge (AS-US) system was proposed for treating milk processing wastewater (MPW). And the process performance of the proposed system was compared with once the US device was not used. Furthermore, in this study, fouling tendency of membrane was studied by applying 0.1 wt% NH2-functionalized multiwalled carbon nanotubes (MWCNTs) (NH2-MWCNTs)-embedded polyethersulfone (PES) ultrafiltration membrane, synthesized in our earlier study. The modified membrane with 0.1 wt% of NH2-MWCNTs was selected as an optimum membrane due to its good antifouling property (Rahimi et al. 2015). Finally, in order to evaluate the process performance, the flux parameter in membrane unit under 3 bar pressure, sludge volume index (SVI), settling velocity and height of sludge in ultrasound-equipped system and also treatment efficiency as effluent turbidity, removal parameters such as COD, TN, TKN and TP for both systems were evaluated.

Materials and methods

Composition of milk processing wastewater

The influent feed was prepared based on our previous study as follows (Rahimi et al. 2016). At first, certain amount of low-cream milk was mixed with potable water in order to reach pH of around 5–6 and chemical oxygen demand (COD) of 2000 mg/L. The resultant wastewater showed very similar characteristics to effluents obtained from dairy industries. This milk processing wastewater (MPW) was kept in a refrigerator at 4 °C before use. The ratio of COD/N/P was set as 100:15:3 for influent feed. In order to assess the phosphorous removal capacity, KH2PO4 was added into influent feed as supplement. Wastewater used in this study was characterized and is presented in Table 1.

Table 1 Milk processing wastewater characteristics

Bioreactor setup and operation

The schematic of laboratory-scale bioreactor employed in this work is depicted in Fig. 1. The CAS system comprised of an aeration tank and a settling tank with total volume of 14.74 and 6.45 L, respectively, was designed and fabricated. The working volume of the aeration tank was determined 5.46 L. The aeration tank was aerated via an air stone submerged at the bottom of the reactor. The applied air flow rate and concentration of dissolved oxygen (DO) into the bioreactor were 2.5–5 L/min and 3–4 mg/L, respectively. This amount of the air flow rate provided not only required mixing into the bioreactor, but also supplied enough dissolved oxygen for aerobic biocatalysts. To provide the required biomass concentration into the biological system, a clarification was placed after the aeration tank. The sludge periodically was returned from settling chamber bottom to the aeration tank by means of the recycle activated sludge (RAS) pump (Sisdoz-PRS6) controlled by a timer. Feeding was done using peristaltic pump (PD5201, Heidolph, Germany) with adjustable speed and analogue tuner.

Fig. 1
figure 1

Experimental setup used in this study. a Feed tank, b timer, c air pump, d bioreactor, e peristaltic pump, f settling tank, g filtration cell, h pressure gauge, i nitrogen cylinder, j permeate reservoir, k container with US, l ultrasound transducer, m reactor effluent with US, n container without US, o reactor effluent without US

The reactor was continuously fed with a milk processing wastewater with the COD concentration about 2000 mg/L. The reactor was inoculated with activated sludge taken from an industrial wastewater treatment plant (Bisotun, Kermanshah, Iran). The steady-state performance was assessed under different conditions of mixed liquor suspended solids (MLSS) concentrations of 6000–14,000 mg/L and hydraulic retention time (HRT) of 8–44 h at three levels. The experimental conditions are displayed in Table 2. Variation of ± 5% in the effluent COD concentration in each condition was considered as the criterion for steady-state conditions. pH adjustment was not necessary, as it was kept fairly constant (7–8) throughout the experiments. After being provided steady-state conditions, filtration performance of the selected membrane was assessed using mixed liquor from the aeration tank.

Table 2 Experimental conditions carried out

The selected ultrafiltration membrane was put on rigid sponge and placed in the dead-end stirred cell. The cell was fitted with a pressure gauge, and pressurized nitrogen gas was applied to force the liquid to pass through the membrane. The feed solution was stirred at the rate of 400 rpm to prevent concentration polarization. At the beginning, the membrane was hydraulically compressed at 4 bar for 15 min with the pure water to inhibit the compaction effect of the membrane and finally reach steady-state conditions. Then, the pressure was decreased to the operating pressure of 3 bar. The permeates drawn from the membrane were measured by an electronic balance (BP2215, Sartorius, Germany) to determine the membrane flux and investigate antifouling properties. The filtered samples were gathered in a vessel to measure the next process parameters. The permeating flux was calculated from the quantity of permeate gathered through the membrane over a given time period via equation below.

$$ J = \frac{V}{A \Delta t} $$
(1)

where V (kg) is the weight of the collected permeates, A (m2) is the membrane area, and Δt (h) is the permeation time.

The biological performance and also sludge compaction of the CAS were investigated with and without the presence of ultrasound transducer. In this mean, a sample of mixed liquor from the aeration basin was taken and moved into two bioreactors of 1.3 L, in which one of them was equipped with a 1.7-MHz piezoelectric ultrasound transducer (Model ANN-2517GRL, Annon Piezo Technology Co. Ltd, China). Sludge settleability test with and without ultrasonic transducer was examined for 120 min, and then, sludge settling velocity was measured; finally, the resultant supernatant was used to measure the process parameters.

Analytical methods

The parameters of COD, BOD5, TN, TKN, NO3, MLSS and SVI were analyzed based on standard methods (APHA 1999). For COD, a colorimetric method with closed reflux method was developed. Spectrophotometer (DR 5000, Hach, USA) at 600 nm was used to measure the absorbance of COD samples. The concentration of dissolved oxygen (DO) into bioreactor was measured by means of a DO probe supplied by WTW DO Cell OX 330, electro DO probe, Germany. A turbidity meter model 2100 P (Hach Co., USA) was used to measure turbidity. Sludge volume index (SVI) was used to quantify the settling characteristics of the mixture of liquid–solid suspensions from both clarifiers, viz. with and without ultrasound transducer. Sludge settling velocity was measured according to a study of Zheng et al. (2005).

Results and discussion

Biological treatment performance in bioreactor

The bioreactor was operated with MLSS concentrations of 6000, 10,000 and 14,000 mg/L at three HRTs (8, 6 and 44 h). In this section, performance of the bioreactor in terms of carbon and nutrients removal is discussed. The effects of membrane filtration and ultrasound-equipped clarifier on the combined system performance will be presented in the sections below in separate.

Table 3 indicates the average removal efficiency of the main physicochemical parameters of the bioreactor effluent throughout the experiments. Figure 2 shows effluent COD concentration and the respective removal efficiency in steady-state conditions. This figure has been plotted on the basis of the experiments number as shown in Table 2. The BOD5 to COD ratio was obtained as 0.72, and sludge retention time (SRT) was between 5 and 14 days. As clearly displayed in the figure, the bioreactor indicated a stable behavior in relation to COD removal throughout the design space, which means range of variables studied in this work, i.e., MLSS and HRT. The range of COD removal attained over various operational conditions was > 96%. It might be attributed to high biodegradability of the wastewater and high biomass concentration employed in the bioreactor (Andrade et al. 2013). High COD removal efficiencies have been also reported for the treatment of whey wastewater generated upon cheese manufacturing (Farizoglu et al. 2004; Castillo et al. 2007).

Table 3 The average removal efficiency of the main physicochemical parameters of the bioreactor effluent
Fig. 2
figure 2

COD removal at different operating conditions

In addition to the high COD removal, the system also showed to be efficient in removal of nutrients. High MLSS concentrations (10,000 and 140,000 mg/L) usually lead to the occurrence of simultaneous nitrification and denitrification (SND) processes and nitrogen removal (Hocaoglu et al. 2011). In this system, TKN was removed through nitrification process and assimilation for cell growth. Low food to microorganism (F/M) ratio usually favors nitrification process (Andrade et al. 2013). In this study, the F/M ratio was in the range of 0.1–1.06 g COD/g MLVSS which can be considered as a favorable condition for nitrification and removal of TKN. Andrade et al. (2013) observed nitrification process with the F/M of between 0.55 and 0.67 g COD/g MLVSS. However, total nitrogen (TN) removal is happened under denitrification process. In this study, the high concentration of MLSS and the relative high media viscosity led to reduce efficiency of oxygen transfer and air incomplete distribution in bioreactor. Consequently, anoxic zone is formed into bioreactor which provided favorable conditions for denitrification (Guadie et al. 2013; Puznava et al. 2000). However, the results presented in Table 3 show that the removal efficiency of both parameters is not very high which is maybe due to high influent concentration of nitrogenous compounds in terms of TN and TKN.

Phosphorus removal efficiencies of ˃ 55% were obtained all over the experiments (see Table 3). Conventionally, processes which have been considered appropriate for phosphorus removal must possess sequential aerobic and anaerobic conditions to create a convenient environment for the phosphate accumulating microorganisms’ growth (PAOs) (Von Sperling 2005). However, as aforementioned above, the high biomass concentrations applied in this system might lead to formation of microniches of anoxic or anaerobic within the sludge flocs which potentially provide the suitable condition for PAOs (Silva et al. 2012).

Other than phosphorus uptake by PAOs, partial removal of phosphorus is occurred through cell synthesis. The literature has reported similar results in MBR systems with various conditions; for example, Farizoglu et al. (2004) got phosphorus removal efficiencies between 65 and 85% in an aerobic jet loop membrane bioreactor with influent TP of 420–540 g/m3. Andrade et al. (2013) reached phosphorus removals of 53 and 83% for the HRTs of 8 and 6 h, respectively, while the concentrations of influent phosphorus were 27.5 and 20.4 mg/L, respectively. Andrade et al. (2014) in another study with influent phosphorus of 36.3 mg/L achieved the mean phosphorus removal efficiency of 89% for HRT of 8 h.

The performance of membrane filtration followed by the bioreactor

Ultrafiltration can be chosen as an appropriate separation process instead of secondary clarifier in bioreactors. However, widespread application of this technology is restricted by membrane fouling which gives rise to bad consequences such a remarkable increase in operation cost due to fouling mitigation. This fouling may be due to several causes, such as formation of a cake layer on the membrane surface, adsorptive fouling mechanisms and the blockage of membrane pores (Kaya et al. 2010). The membrane used in this study was the optimized membrane (0.1 wt% of PES/NH2-MWCNTs) obtained in an earlier study (Rahimi et al. 2015). The variations of the flux of the membrane as a function of the variables at different operating conditions are represented in Fig. 3. Once the HRT is constant, by increasing the MLSS, an increment in the flux was seen. It could be because of production of more extracellular polymeric substance (EPS) at low concentration of MLSS that accelerates the fouling of membrane via the formation of a cake layer with weak permeability on the membrane surface. The formation of a cake layer after permeation test on PES/NH2-MWCNTs ultrafiltration membrane surface is displayed in Fig. 4. Similar result was reported by Meng et al. (2007) that flux reduction was consistent with mitigation of biomass concentration attributed to the existence of high EPS and soluble microbial products (SMP) concentrations, as well as high sludge viscosity, due to an increase in the F/M ratio. By contrast, as MLSS concentration was kept constant, and the response was decreased in low HRT, which may be because of an increase in EPS content in the higher F/M ratios (Chae et al. 2006).

Fig. 3
figure 3

Flux variations of 0.1 wt% of PES/NH2-MWCNTs membrane

Fig. 4
figure 4

The formation of cake layer after permeation test with NH2-functionalized MWCNTs polyethersulfone (PES) ultrafiltration membrane filtration for 2 h

The performance of a high-frequency ultrasound-equipped clarifier followed by the bioreactor

As stated earlier, to overcome the problems associated with the systems operating in high MLSS, force compaction of the sludge in the clarifier using high-frequency ultrasound is suggested. Therefore, physical characteristics of the sludge at different operating conditions with and without ultrasound are compared in the next sections.

Sludge volume index (SVI)

Sludge volume index (SVI) was measured to quantify the settling characteristics of the mixed liquor exited from the activated sludge (AS) and ultrasound-equipped activated sludge (US-AS) systems. Figure 5 presents the variations of SVI with respect to HRT and MLSS concentration for the both systems without and with US. As can be seen in the figure, in both systems HRT did not have considerable effect on SVI in the range tested. As MLSS concentration increased, SVI was decreased by producing denser flocs with better settling properties. It can be attributed to the EPS production during cell lysis and subsequent bioflocculation in the condition with high MLSS concentration (Arabi and Nakhla 2009), implying on favored conditions for microbial aggregation at a lower F/M ratio. In contrary, when MLSS decreased from 14,000 to 6000 mg/L, the average particle size may be increased because of a further increase in EPS concentration, leading to an adverse effect on the sludge settling (Chae et al. 2006). The formation of bound EPS is growth-related and is extracted in direct proportion to substrate utilization (Chua et al. 2000). Thus, the increase in the organic loading rate (OLR) or F/M ratio will induce the production of more bound EPS. In addition, the readily biodegradable feed used in this study augmented the generation of more bound EPS in the low MLSS. The increase in the SVI at high OLRs implied on lower sludge compressibility and more viscous bulking (Chae et al. 2006). In this type of bulking, the bacterial cells are swollen by absorbing water to an extent in which their density becomes close to that of water causing poor settleability (Abdollahzadeh Sharghi and Bonakdarpour 2013).

Fig. 5
figure 5

Sludge volume index under different operating conditions

The results exhibited that in the presence of ultrasound waves, SVI was decreased greatly with increase in the MLSS compared to system without ultrasound transducer. As can be seen in the figure, the SVI values were in the range of 60.6–106.8 ml/g in the presence of ultrasonic irradiation, while they were in higher range of 68.7–138.3 ml/g in the system without applying sonication. The results of this study were in accordance with Zinadini et al. (2015), where the researchers claimed that the high-frequency ultrasound has a positive effect on the microbial flocculation and compaction of sludge, resulting in a clarifier with required smaller volume. The SVI values of 44.5–59 ml/g have been reported for reactor containing high-frequency ultrasound that were much less than those of the reactor without ultrasound transducer with values of 61–89 ml/g. According to Rezaee et al. (2014), the highest values of the SVI were observed in the feast and famine conditions that led to a damaging effect on sludge settling ability.

Zinadini et al. (2015) found at high content of MLSS, the microstream from ultrasonic waves can create very high mixing and effective mechanical shear force into the reactor. Therefore, these phenomena could lead to formation of compact flocs and subsequently minimize SVI (Zinadini et al. 2015). The influence of ultrasound on the SVI at MLSS concentration over 10,000 mg/L was not considerable which was because of very high concentration of suspended solids and their adverse interactive effect on settling. Also, the minimum SVI value obtained in research of Rezaee et al. (2014) was 71.69 ml/g under condition of MLSS of 10,000 mg/L and HRT of 6 h.

Height of sludge and sludge settling velocity

As water recovery or clear zone height is a key criterion to design a clarifier, so height of sludge was also monitored rather than SVI. The height of sludge at different operating conditions with and without the ultrasonic irradiation is shown in Fig. 6. As can be realized in the figure, by increasing the MLSS concentration, height of sludge was increased for the both systems. Ultrasonic waves had a less influence on height of sludge in the highest MLSS concentration (14,000 mg/L). That is attributed to the change of settling process type to hindered settling (Tchobanoglous et al. 2003). In this situation, the liquid tends to move upward through the interstices of the contacting particles. As the particles settle, a relatively clear layer of water is formed on top of the particles in the settling region. The rate of settling in such a system is dependent on the biomass concentration and its characteristics. As shown in Fig. 7, an identifiable interface between the upper zone and the hindered settling zone is created. Except the conditions with MLSS of 14,000 mg/L, ultrasound showed remarkable effect on sludge compression. So that at MLSS of < 10,000 mg/L about 40% water recovery was obtained in the ultrasound-induced system that might be related to low sludge concentration and good flocculation (Rezaee et al. 2014). Sludge settling velocity is another critical parameter for clarifier design. High settling velocity implies on less settling tank volume required. Figure 8 illustrates sludge settling velocity at different operating conditions. As presented in the figure, sludge settling velocity was in the ranges of 0.088–0.240 and 0.051–0.112 m/h, respectively, for the bioreactor with and without ultrasonication. As a conclusion, operation of the activated sludge system at high biomass concentration (up to 10,000 mg/L) will be possible by employing high-frequency ultrasound in the clarifier. Zinadini et al. (2015) reported the sludge settling velocity decreased after increasing the MLSS concentration to more than 5000 mg/L. The reduced sludge settling velocity was affected by high EPS concentration with negative charge, which causes the surface charge of microbes become more negative. Thus, repulsive forces between cells are enhanced, whereas diminishes the settling ability.

Fig. 6
figure 6

Height of sludge under different operating conditions

Fig. 7
figure 7

Effect of 1.7-MHz ultrasound irradiation on sludge volume in comparison with the condition without sonication at MLSS of 6000 mg/L and 30 min

Fig. 8
figure 8

Sludge settling velocity for the systems with and without US under different operating conditions studied

The quality comparison of effluent from two approaches studied

As far as the COD content of the influent feed is the same as soluble COD (SCOD), so effluent turbidity displays biomass washout degree. Turbidity, a measure of the light-transmitting properties of water, is used to indicate the amount of waste discharge and natural water with respect to colloidal and residual suspended matter (Akhbari et al. 2011). In the current work, the system performance was examined by controlling turbidity of the membrane permeate and the bioreactor effluent after ultrasound-induced clarifier. Findings revealed that turbidity was significantly decreased from the influent mean of 174.6 NTU to zero NTU in the membrane permeate and less than 10 NTU for the effluent after clarification. It revealed an excellent performance of the ultrafiltration membrane in relation to the effluent turbidity removal and total suspended solids (TSS) removal as well. However, the ultrasonication could also separate solids from the mixed liquor and provide an effluent with turbidity < 10 NTU which is standard for irrigation as well as discharge into the receiving waters. The values of effluent turbidity obtained by Rezaee et al. (2014) were ranged from 2 to 16 NTU. In the study reported by Zinadini et al. (2015) the ultrasonic waves did not show any effect on effluent turbidity.

Conclusions

In this work, the performance of an activated sludge system combined with a laboratory-made PES/NH2-MWCNTs UF membrane with high antifouling property and an ultrasound-equipped activated sludge was comparatively studied in treatment of milk processing wastewater. The effects of two operating parameters viz. MLSS and HRT on the biological performance in terms of sludge characteristics and flux, were investigated. Based on the obtained results, MLSS concentration and HRT had an increasing impact on the flux. However, the membrane and high-frequency ultrasound revealed no influence on removal efficiency of soluble compounds. Furthermore, the use of the ultrasonic transducer had no considerable destructing effect on the biological activity of the biomass and an effluent with high quality was achieved. As a conclusion, this system as a high rate process with smaller footprint can be considered as a promising approach to upgrade the activated sludge process. Nevertheless, it is also pointed out that application of the high-frequency ultrasound in industrial scale needs further comprehensive feasibility studies.