- 1Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India
- 2Department of Civil Engineering, Anna University Regional Campus Tirunelveli, Tirunelveli, India
- 3Institute of Research and Development, Duy Tan University, Da Nang, Vietnam
- 4Department of Environmental Energy Engineering, Kyonggi University, Suwon, South Korea
- 5Faculty of Science and Technology, Institute of Chemistry, Bioscience, and Environmental Engineering, University of Stavanger, Stavanger, Norway
The solubilization potential of biological pre-treatment for waste activated sludge (WAS) is limited due to the floc structure of the WAS. Extra polymeric substances (EPS) are responsible for floc formation. In this investigation, an attempt has been made to disturb the floc structure of WAS by removing EPS with a disperser. In the first stage, the disperser treatment released 242 mg/L of soluble EPS when operated at 3,000 rpm for a duration of 50 s and caused deflocculation of WAS. In the second stage, deflocculated sludge was subjected to bacterial pre-treatment to assess the effect of floc disruption. During bacterial pre-treatment, it was found that deflocculated sludge produced higher organic solubilization of 23.9% and a reduction in suspended solids of 19.1% when compared to control (10.2 and 8.7%, respectively). Biogas yields were recorded of 220 mL/g COD in deflocculated sludge and 93 mL/g COD in flocculated sludge. From the above, it is evident that deflocculation effectively enhanced bacterial pre-treatment, leading to more solubilization and biogas production.
Introduction
Currently, there is a high demand for energy to satisfy the day-to-day requirements of society. Obtaining this energy from waste is one prime option for meeting the energy demand. Among the different types of wastes, the waste activated sludge (WAS) generated from aerobic wastewater treatment plants has great potential for generating energy, as it has an ~70% organic content (Kannah et al., 2019a). WAS typically contains an abundance of organics, principally protein and carbohydrate, and also a certain amount of complex organic polymers (Saha et al., 2011). In addition, the management of WAS in treatment plants (stabilization, thickening, dewatering, and disposal) accounts for nearly 60% of the total operational cost. It is thus advantageous to generate energy from WAS, as this will not only reduce the total operational cost of the treatment but also generate energy (methane). The additional energy can be used to compensate for a certain portion of the total input energy to a wastewater treatment plant (Kannah et al., 2019b). Industries conventionally employ aerobic treatment systems to treat their wastewater. Dairy is one such industry where aerobic treatment systems are extensively used. Since the biodegradability of dairy wastewater is high and it is laden with a significant amount of organics, it generates a huge amount of waste activated sludge. Therefore, in this study, an attempt has been made to make use of this sludge to solve the energy crisis. In India, the dairy industry is maintaining 15% compounded annual growth and plays a vital role in the economy.
Energy in the form of methane can be generated from waste biomass through anaerobic digestion. The efficiency of anaerobic digestion depends upon substrate complexity (Kavitha et al., 2019a). The anaerobic biodegradability of complex substrates can be enhanced through solubilization (Banu and Kavitha, 2017; Banu et al., 2017). WAS is a complex substrate, and its anaerobic biodegradability can be increased by enhancing its solubilization through pre-treatment methods (Yang et al., 2013). There are numerous pre-treatments available in the literature to solubilize WAS (Banu et al., 2012; Devi et al., 2014; Kannah et al., 2017a; Kavitha et al., 2019b). By carefully observing the above-mentioned disintegration process, the thermal process has been proved to be efficient (Jang and Ahn, 2013). In thermal treatment, heating is achieved via convection, which demands a huge amount of electrical energy. This makes the process economically infeasible. In addition, temperature-based pre-treatment methods are known for their generation of recalcitrant compounds. These compounds inhibit substrate anaerobic biodegradability (Banu et al., 2019a; Jeong et al., 2019). Of late, a microwave disintegration process has been developed to decompose waste into distinct particles. Although biomass solubilization is high in ozone, microwave, and ultrasonic pre-treatment, these pre-treatment methods are not widely used as they demand a large amount of energy. Bacterial pre-treatment can be an alternative to these methods, as it consumes less energy (Kavitha et al., 2015a). It is reported in the literature that a minimum of 20% cell disintegration is essential for economical biogas production (Ebenezer et al., 2015; Banu et al., 2019b). The limitation of bacterial pre-treatment is that it fails to achieve this landmark 20% COD solubilization in WAS. This could be due to the structural integrity of WAS, which hides biomass from being exposed to the extracellular enzymes secreted by bacterial pre-treatment agents. In the present study, an attempt has been made to achieve this landmark 20% COD solubilization by disrupting the structural integrity of sludge flocs. This was achieved by a disperser that works on the principle of a pressure gradient and shear stress (Devi et al., 2014; Kavitha et al., 2016a). When WAS is subjected to disperser pre-treatment at low rpm, extracellular polymeric substance (EPS), which is responsible for floc formation in WAS (Yu et al., 2010), is removed. After attaining deflocculation, it is subjected to bacterial pre-treatment. The key goals of the present investigation are to (1) disturb the structural integrity of WAS through deflocculation by a disperser, (2) use bacterially mediated disintegration of deflocculated sludge to achieve 20% solubilization, and (3) evaluate the efficiency of deflocculation.
Materials and Methods
Characteristics of Waste Activated Sludge (WAS)
The WAS from the return line of an activated sludge treatment plant was collected from the Aavin dairy wastewater treatment plant located in the Madurai region, India. As soon as the sludge had been transported to the laboratory, it was stored at 4°C. The initial characteristics of the WAS are tabulated in Table 1.
Deflocculation of WAS
A mechanical disperser (Make: IKA; Model No. T25 Ultra Turrax) was used to deflocculate the waste activated sludge. Defloculation experiments were carried out in a 1 L beaker containing 500 mL of WAS. The experiments were conducted at various disperser rpm values from 1,000 to 5,000. During the study, samples were periodically collected and examined for protein, carbohydrate, DNA, and soluble EPS to optimize the operational conditions of the disperser for deflocculation.
Bacterial Pre-treatment of WAS
The bacterial strain used in this study was an exoenzyme-secreting strain, Bacillus licheniformis (genome accession number CP000002). Bacterial pre-treatment experiments were carried out in a 250 mL conical flask in a sterile environment. In the first set, 100 mL of deflocculated waste activated sludge (EPS removed) was inoculated with 2.0 g/L of bacteria. In the second set, flocculated waste activated sludge (EPS intact) was inoculated with 2.0 g/L of bacteria. The third set served as a control and contained only 100 mL of flocculated waste activated sludge. After inoculation, conical flasks were transferred to a low-speed stirrer and rotated at 100 rpm for 84 h.
Biochemical Methane Potential Test (BMP)
BMP was carried out as detailed in earlier studies (Uma Rani et al., 2014). Conventionally, researchers employ BMP as a tool to evaluate the efficiency of a pre-treatment method. BMP was carried out for bacterially pre-treated flocculated (EPS intact) and deflocculated (EPS removed) sludge samples. Raw sludge (untreated) was used as a control. BMP experiments were conducted in a 300-mL serum bottle. It is essential to neutralize the substrate pH before BMP, as pre-treatment decreases the pH of the medium. After adding substrate into the BMP bottles, it was inoculated with bovine rumen, with a substrate to inoculum ratio of 3:1. After inoculation, the head space of the BMP bottles was flushed with nitrogen, and the bottles were sealed immediately to ensure anaerobic conditions. A needle was inserted into the top of the sealed bottle to measure biogas production. The entire setup was kept at 35°C and shaken at 220 rpm in an incubator shaker. As the experiment proceeded, biogas generation occurred in the BMP bottles and created pressure, leading to displacement of the syringe piston. The distance traveled by the syringe piston was recorded and tabulated every day. The methane content of the biogas was measured using GC (Banu et al., 2019b). The BMP experiments were carried out for 25 days based on the findings of Gayathri et al. (2015). The modified Gompertz equation was employed in the study to validate the result.
Where,
Bt - Cumulative biogas produced (mL) at time (t),
B - Biogas production potential L/(g VS),
Rb - Maximum biogas production rate L/(g VS d),
λ - Lag phase (minimum period to produce methane).
Analytical Method
SS (suspended solids), TCOD (total chemical oxygen demand), and SCOD (soluble chemical oxygen demand) were measured according to predefined standard methods (APHA, 2005). The level of protein was computed by employing Lowry's method (Takahashi et al., 2010). Carbohydrate was examined via the anthrone-sulphuric acid method (Kavitha et al., 2015b), DNA was quantified with the diphenylamine calorimetric method (Merrylin et al., 2013), and EPS was calculated by following the procedure detailed in Kavitha et al. (2013).
Results and Discussion
Deflocculation of WAS Using Dispersion Treatment
During dispersion, the sludge particles are broken down with mechanical energy, leading to deflocculation of WAS. Deflocculation depends on EPS removal. During deflocculation, flocs release extra-cellular organic compounds, such as protein, carbohydrate, and DNA. These contribute a meager increase in the concentration of soluble organics in the medium. It is also reported in the literature that dispersers induce cell disintegration. During cell disintegration, the cell wall of the biomass is cleaved, and this results in the leakage of organic-rich intracellular compounds into the medium. A sharp increase in medium soluble COD indicates the process of cell disintegration. Among the rpm rates used, a disperser rpm of up to 3,000 did not induce a sharp increase in medium organics (Figure 1). Up to 3,000 rpm, the disperser released a marginal amount of organics. There was no significant release in organics after 50 s (Figure 1), indicating saturation of deflocculation. Hence, 50 s of disperser operation at 3,000 rpm is found to be an effective condition for deflocculating the sludge. At 3,000 rpm, 184 mg/L of protein and 46 mg/L of carbohydrate were released at 50 s. Likewise, 242 mg/L of soluble EPS and 363 mg/L soluble COD release were recorded. The released protein and carbohydrates are from the EPS, which is responsible for floc formation in waste activated sludge. Upon the action of the disperser, these components are released from EPS, resulting in floc disintegration. Beyond 50 s of dispersion, the release of organic compounds into the medium becomes saturated. The protein, carbohydrate, soluble EPS, and DNA release were found to be 196, 49, 257, and 36.3 mg/L, respectively. The disperser works on the principle of rotor-stator theory. Mechanical shear force is generated due to high rotational speed and minimal space between the rotor and stator, which effectively deflocculates the sludge matrix (Devi et al., 2014; Kavitha et al., 2014a, 2016b; Kannah et al., 2017b). Increasing the rotational speed resulted in a rapid increment in biopolymer release, which indicates the disintegration phase. A sharp increase in DNA can be used as an indicator of the shift in paradigms from deflocculation to disintegration (Gayathri et al., 2015). Hence, it is obligatory to take a sample before the disintegration stage for better phase separation. At 4,000 and 5,000 rpm, the disperser causes a sharp increment in DNA, which indicates that disintegration is in progress. Hence, for deflocculation, a higher disperser rpm cannot be used. Based on the results, the optimum conditions to deflocculate waste activated sludge were found to be 3,000 rpm and 50 s. A similar phenomenon during the deflocculation of WAS was previously reported in Packyam et al. (2015). Biomass contains a significant amount of intracellular biopolymers. Kavitha et al. (2018) have used proteins and carbohydrates as markers to phase-separate deflocculation and disintegration. Any abrupt change in the release of biopolymers can be taken as an indicator for phase separation. As expected, an abrupt increase in the release of protein (384, 412 mg/L) was noticed at 4,000 and 5,000 rpm, as depicted in Figure 1. Similarly, there was a leap in carbohydrate release (96 mg/L, 103 mg/L) at speeds of 4,000 and 5,000 rpm, again depicted in Figure 1. From the above, it was clear that cell disintegration was prominent when the rpm value of the disperser was increased above 3,000 rpm. Hence, it is clear that phase separation cannot be achieved in a disperser when its rpm is increased in excess of 3,000. At 3,000 rpm, phase separation was prominent, and the results of Figure 1 show a clear demarcation at 50 s.
Bacterial Disintegration of WAS
Biological disintegration is the most widely used method of biomass disintegration. However, its application in real time is limited due to its inability to induce solubilization of over 20%. In this study, an attempt has been made to achieve this with a biological pre-treatment experiment in the absence of EPS. During the experiment, performance parameters of disintegration, such as COD, protein, and carbohydrate release, were used to assess the difference between flocculated and deflocculated sludge samples. The reduction in suspended solids and the enhancement in COD solubilization were used to measure the process efficiency (Kavitha et al., 2014b).
Reduction of Suspended Solids
The efficiency of bacterially mediated disintegration on deflocculated and flocculated sludge was assessed by suspended solid disintegration (Ushani et al., 2018). The disparities in SS reduction between sludge samples are shown in Figure 2. According to Figure 2, a notable increase in SS reduction up to 42 h was observed in all three samples. During biological pre-treatment through the action of exoenzymes, suspended solids (SS) become solubilized, and this leads to a reduction in the concentration of solids in the medium. At 42 h, the SS reductions were observed to be 19.1, 8.7, and 4.1% for deflocculated, flocculated, and control samples, respectively. Among the samples, deflocculated sludge exhibited a greater SS (19.1%) reduction when compared to flocculated (8.7%) and control (4.1%) sludge. When SS was solubilized, it became either liquefied or mineralized. Figure 2 shows two phases of SS reduction in all samples (control, flocculated, and deflocculated), which were confirmed through linear regression analysis. Kavitha et al. (2017) noticed a similar pattern of SS reduction during bacterial pre-treatment of WAS. SS reduction was very fast in the first phase (from 0 to 42 h), and it slowed down in the second phase (48–84 h). A student t-test was conducted to estimate the correlation coefficient for the two phases, and it was found to be in the range of 0.88–0.92. This indicates that the model satisfies the experimental outcome, and a p-value of 0.028 was found for the SS reduction.
Researchers working on sludge disintegration have stated that liquefaction of suspended solids is one of the principal phenomena responsible for the rise in soluble organics (Ushani et al., 2018). Microbes secrete exoenzymes and liquefy particulate organics. However, under harsh pre-treatment conditions, particulate organics become mineralized by microorganisms. From the above, it is evident that as a result of deflocculation, more particulate organics become accessible to bacterially mediated disintegration. This leads to greater solubilization and reduction of SS into the medium. In a previous study, Packyam et al. (2015) achieved a 17.8% SS reduction by phase-separated pre-treatment. The presently observed SS reduction of 19.1% was higher than the earlier observations. It is observed that solid removal stabilizes at 42 h, and further increase over time did not significantly contribute to SS removal efficiency. At 42 h, bacterial treatment becomes saturated and, thereafter, inoculated bacteria exhibit insignificant lytic activity.
Soluble Chemical Oxygen Demand Release
For efficient anaerobic digestion, the substrate needs to contain a sufficient amount of soluble organics. Hydrolysis is responsible for the formation of soluble organics and is the rate-limiting step of anaerobic digestion. Bacterial pre-treatment enhances hydrolysis of the substrate by accelerating its disintegration and accumulating soluble organics in the medium. It is essential to obtain a minimum of 20% solubilization if the disintegrated biomass it to be used for biogas production. Figure 3 shows the effect of bacterial pre-treatment on the profile of soluble organics release with respect to time. The release of SCOD showed an incrementing tendency with time until 42 h, which was expected. After inoculation with bacteria, solubilization was evidenced in all samples by 6 h. From then onward, increment in COD solubilization occurred, lasting to 42 h. During this time interval, the increment for the control was from 0.7 to 5.2%, that for flocculated was from 1.5 to 10.9%, and that for deflocculated was from 3.3 to 23.9%. The maximum release of organics occurred at 42 h. The SCOD of control, flocculated, and deflocculated sludge at 42 h was found to be 624, 784, and 1,750 mg/L, respectively. According to Kavitha et al. (2017), for economically efficient biofuel production, pre-treatment should yield a minimum of 20% COD solubilization. In the present study, deflocculation enhanced the efficiency of bacterial pre-treatment. As a result, COD solubilization in excess of 20% was achieved in this study, whereas the rest of the experiments failed to induce the landmark COD solubilization of 20%. After 42 h, a decrement in the release of organics and COD solubilization was observed in all samples. Table 2 shows a comparison of COD solubilization and SS reduction with the various phase-separated bacterial pre-treatments.
Table 2. Comparison of COD solubilization and SS reduction with various phase-separated bacterial pre-treatments.
Biopolymer Release
The concentration contours of biopolymer release are shown in Figure 4. Protein and carbohydrate were found in the intracellular region of the activated sludge biomass. Disintegration induces the release of these biopolymers from inside the cell to the surroundings (Ushani et al., 2017). It was expected that the release of protein and carbohydrate from the biomass would improve with an increase in bacterial pre-treatment time. As expected, a gradual increase in biopolymer concentration with respect to bacterial pre-treatment time was noticed in the present study. Depending on the pre-treatment time, the release of biopolymers exhibited two phases: that up to 42 h is the solubilization phase, and that after 42 h is the mineralization phase. Similar to SS reduction, a meager amount of biopolymers were released from the control sludge. At 42 h, the protein and carbohydrate releases were found to be 187 and 396 mg/L for the control, 374 and 784 mg/L for flocculated, and 860 and 1,720 mg/L for deflocculated, respectively. A decrease in biopolymer concentration was noticed after 42 h of pre-treatment. After 42 h, the liquefied carbohydrates and proteins started to be converted into simple components by the action of enzymes (Jang et al., 2014). As a result, a decrease in biopolymer concentration occurred. The protein and carbohydrate concentrations after 42 h were found to be 1,530 and 762 mg/L, respectively. Overall, deflocculated sludge has a higher potential to release protein and carbohydrate than control and flocculated sludge. Based on the above, the optimal pre-treatment time for sludge disintegration was fixed at 42 h.
BMP Assay
Finally, BMP tests were carried out to determine the effect of deflocculation on biomethane production. In the literature, several researchers have employed BMP to study the effect of phase-separated pre-treatment on biogas production (Kannah et al., 2017b; Banu et al., 2018; Kavitha et al., 2018). Figure 5 denotes sluggish production of biogas at the start and end of the experiment. The initial sluggishness was due to acclimatization and proliferation of methanogens to new environmental conditions (De Gioannis et al., 2009). At the end of the experiment, the availability of substrate for microorganisms was limited, and this led to poor gas production. The Gompertz equation was used to evaluate the methane generation by fitting the observed data (Gil et al., 2011) and was used to calculate the kinetic parameters of substrate methane generation potential (Uma Rani et al., 2014). Figure 5 depicts data on daily biogas production. In the present study, the biogas profile of all of the samples exhibits lag, exponential, and stationary phases. Upto day 4, biogas production was marginal in all samples subjected to BMP. After the fourth day, the methane generation was amplified from 31 to 43 mL/gCOD for flocculated sludge and from 69 to 96 mL/gCOD for deflocculated sludge, and this exponential increase lasted up to 7 days. This indicates a shift of phase from lag to exponential, and as a result, more biogas production was achieved (Kannah et al., 2017b; Banu et al., 2018; Kavitha et al., 2018). Certainly, a higher yield of methane was recorded from the deflocculated sample. However, the yield of methane from the control (raw sludge) was comparatively lower (15–20 mL/gCOD) than from the flocculated and deflocculated sludge. This is because the control sample (raw sludge) consisted of refractory components, which resist anaerobic degradation during BMP assay. As a result, very low biogas production was recorded in the control. The production of methane reaches saturation due to non-availability of utilizable substrate, and this happens after 15 days of digestion. During this period, methanogenic microbes face limited substrate availability. This is the primary reason for the very low biogas release. On the twenty-first day, deflocculated sludge yielded 220 mL/gCOD of biogas. At the same time point, the biogas productions of the control and flocculated sludge were found to be 46 and 96 mL/g COD, respectively. From the above, it was evident that deflocculation effectively enhanced hydrolysis and that this resulted in the maximum biogas production when compared to flocculated sludge and control.
Even though biological pre-treatment has many promising features, a major impediment to employing biological agents for bioenergy production is its poor solubilizing potential. However, the outcome of this study provides new scope for biological pre-treatment methods, as it effectively increased this solubilizing potential. Energy and economic analysis have shown that 20% solubilization is essential for cost-effective biogas production. Apart from the present study, only a few studies in the literature have reported the achievement of the landmark 20% solubilization. Another advantage of biological pre-treatment is that it demands less energy than do other pre-treatment methods. Based on the above facts, it is important to determine whether the results of the present study are scalable. Further study at a pilot-scale level is essential for energy and cost analysis. Work in this regard is in progress.
Conclusion
The use of a disperser effectively removed EPS from waste activated sludge and disrupted its floc structure. Disperser operation at 3,000 rpm for a time duration 50 s resulted in deflocculation of WAS. A sharp increase in DNA concentration indicated phase separation in disperser operation. Enzyme-secreting Bacillus lichiniformis was used as a biological agent to disintegrate the sludge. Deflocculation effectively increased the solubilization of WAS, and at 42 h, a COD solubilization of 23% was achieved. The results from BMP clearly indicate the supremacy of deflocculation over control for the production of biogas. Biogas production in deflocculated waste activated sludge was found to be 220 mL/gCOD.
Data Availability Statement
The datasets generated for this study are available on request to the corresponding author.
Author Contributions
DR carried out the work. JB helped in manuscript preparation. RK helped in data processing. DN, GK, and SC have reviewed the manuscript. SR supervised the work.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
This work was supported in part by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. 20194110300040).
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Keywords: deflocculation, anaerobic biodegradability, disperser treatment, cell disintegration, biogas
Citation: Rufus DP, Banu JR, Kannah RY, Nguyen DD, Kumar G, Chang SW and Raja SA (2019) Effect of Dispersion Treatment on Dairy Waste Activated Sludge to Hasten the Production of Biogas. Front. Energy Res. 7:136. doi: 10.3389/fenrg.2019.00136
Received: 09 August 2019; Accepted: 11 November 2019;
Published: 12 December 2019.
Edited by:
Abdul-Sattar Nizami, King Abdulaziz University, Saudi ArabiaReviewed by:
Leandro Cardoso de Morais, São Paulo State University, BrazilQaisar Mahmood, COMSATS University, Islamabad Campus, Pakistan
Copyright © 2019 Rufus, Banu, Kannah, Nguyen, Kumar, Chang and Raja. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: S. Antony Raja, santonyraja@karunya.edu; J. Rajesh Banu, rajeshces@gmail.com