Skip to main content
  • Research article
  • Open access
  • Published:

Enhancing methane production using anaerobic co-digestion of waste activated sludge with combined fruit waste and cheese whey

Abstract

Background

Recently, it has been indicated that anaerobic co-digestion of waste activated sludge with other waste streams at wastewater treatment plants is a promising strategy for enhancing methane production and materials recovery. The enhanced methane production can be used as a renewable source of energy in wastewater treatment plants. It can also reduce the amount of greenhouse gas emission in landfilling of the waste streams.

Results

According to the results obtained in this study, anaerobic co-digestion of waste activated sludge with mixed fruit waste and cheese whey improves methane production and the quality of digested sludge in comparison to the anaerobic digestion of waste activated sludge individually. It was indicated that carbon/nitrogen ratio (C/N) in the mixture of waste activated sludge, fruit waste and cheese whey improved considerably, leading to better anaerobic organisms’ activity during digestion. With assessing the activity of protease and cellulase, as the main enzymes hydrolyzing organic matter in anaerobic digestion, it was indicated that co-digestion of waste activated sludge with mixed fruit waste and cheese whey enhances the activity of these enzymes by 22 and 9% respectively. At the end of digestion, the amount of cumulative methane production significantly increased by 31% in the reactor with 85% waste activated sludge and 15% mixed fruit waste and cheese whey, compared to the reactor with 100% waste activated sludge. In addition, chemical oxygen demand (COD) and volatile solid (VS) in digested sludge was improved respectively by 9 and 7% when mixed fruit waste and cheese whey was used.

Conclusions

This study revealed that mixed fruit waste and cheese whey is potentially applicable to anaerobic digestion of waste activated sludge, as fruit waste and cheese whey have high C/N ratio that enhance low C/N in waste activated sludge and provide a better diet for anaerobic organisms. This is of significant importance because not only could higher amount of renewable energy be generated from the enhanced methane production in wastewater treatment plants, but also capital costs of the companies whose waste streams are being transported to wastewater treatments plants could be reduced considerably.

Background

Nowadays, the importance of wastewater treatment plants in protecting water streams from pollution is widely recognized. Activated sludge process is a conventional method being widely used in wastewater treatment plants throughout the world due to its high efficiency in removing organic matter and simplicity of its application [1]. However, in this process, a large amount of waste activated sludge is produced, which increases sludge treatment costs in wastewater treatment plants. This is important because sludge treatment unit is the most cost-intensive section in wastewater treatment plants, accounting for around 60% of total operation costs [2, 3].Therefore, recent studies have been focused on enhancing digestion of sewage sludge, whereby sludge treatment costs would be reduced [4,5,6,7,8,9].

Anaerobic digestion is considered as a promising method for stabilizing sewage waste activated sludge, which not only dispenses with aeration facilities and its related capital and operation costs, but it also produces methane as a renewable energy resource in wastewater treatment plants [10,11,12,13]. In addition, anaerobic digestion harnesses methane that results in lower greenhouse gas emission when digested sludge is used in farms, forests, and landfills. This is of great importance because around 40% of total greenhouse gas emission in wastewater treatment plants is produced from sludge treatment sections [14,15,16,17]. However, an issue attributing to anaerobic digestion of waste activated sludge is its poor biochemical methane potential and slow fermentation process [11, 18,19,20].

Anaerobic co-digestion of sewage sludge with other waste streams is an environmentally friendly and economically attractive method to overcome low biochemical methane potential of sewage sludge [13, 21,22,23,24,25,26,27,28]. Hublin et al. [21] revealed that anaerobic co-digestion of cheese whey and cow manure reduces CO2 and CH4 emissions by 3.5 ktonnes CO2/year and 5.7 ktonnes CO2-eq/year respectively. They, also, indicated that a medium-scale biogas plant is profitable for 12 and 15 year effectuation periods. Sewage waste activated sludge has a C/N ratio of around 10, but the suitable ratio for anaerobic digestion of organic matter is around 20 to 30 [29]. Therefore, the low C/N in waste activated sludge results in imbalanced diet for anaerobic organisms and low biodegradability of organic matter [30]. C/N ratio in waste activated sludge is low because it mainly consists of microbial cells leading to high nitrogen content [31]. High organic loading rate (OLR) can also cause low C/N ratio due to ammonia accumulation that produces inhibitory effects on anaerobic organisms’ activity [32, 33]. Consequently, anaerobic co-digestion of waste activated sludge with other waste streams, which have higher carbon content, can provide a balanced diet for anaerobic organisms’ activity. Hosseini Koupaie et al. [34] revealed that anaerobic co-digestion of fruit-juice waste and municipal sludge reduces total net costs up to 37%. Anh et al. [35] investigated the effect of anaerobic digestion of sewage sludge with carbon-rich organic waste on microbial community. They showed that adding higher proportion of carbon-rich organic waste reduces diversity of microbial community, but increases biogas production. Fitamo et al. [36] demonstrated that co-digestion of food waste, grass clippings, garden waste with mixed municipal sludge enhances methane production by 35–48% and decreases hydraulic retention time (HRT) to 15 days. Maragkaki et al. [23] revealed that anaerobic co-digestion of sewage primary sludge (95%) with mixed olive mill and cheese whey wastewater (5%) in continuous reactors can enhance methane yield and biogas production around 127% and improve organic removal accordingly.

In this study, we hypothesized that combined cheese whey and fruit waste could enhance C/N ratio in waste activated sludge significantly, leading to better anaerobic microorganisms’ performance, meanwhile provide simultaneous digestion of these waste streams, which reduces related costs and environmental impacts in comparison to individual digestion of the waste streams. This is the first investigation focusing on anaerobic co-digestion of mixed cheese whey and fruit waste with sewage waste activated sludge. Substrate characterizations in different proportions of waste activated sludge with mixed fruit waste and cheese whey were measured before conducting the anaerobic co-digestion process. During anaerobic co-digestion, key hydrolytic enzymes activity, biogas and methane production, volatile solid (VS) and chemical oxygen demand (COD) were measured. In this study, different ratios of waste activated sludge and mixed fruit waste and cheese whey were used in biochemical methane potential tests, so as to investigate the feasibility of enhancing methane production and quality of the digested waste streams in the anaerobic co-digestion.

Results

Substrates and inoculum

In this study waste activated sludge and inoculum were collected from the south wastewater treatment of Tehran, the biggest wastewater treatment plant of the Middle East. This plant treats wastewater of 4,200,000 people living in central and southern parts of Tehran, Iran. In this study, the waste activated sludge was collected from belt thickener and the inoculum was collected from six anaerobic digesters being operated in mesophilic condition at this plant. The different characterizations of the collected sludge such as total chemical oxygen demand (TCOD), soluble chemical oxygen demand (SCOD), volatile solid (VS), volatile suspended solid (VSS), total solid (TS), total suspended solid (TSS), alkalinity, pH and C/N were measured as soon as the sludge was conveyed to the university’s laboratory (Table 1).

Table 1 Characterizations of the substrates and inoculum

Cheese whey used in this study was collected from a local cheese-producing factory, working with traditional cheese producing technologies in the same region. Fruit waste was also collected from fruit stores near the university’s laboratory. After shredding and homogenizing, the fruit waste was diluted with distilled water to reduce its dry solid (DS) to around 2 g/L, so as to set overall DS of the mixtures (substrate and inoculum) at 3 to 9%, which is suggested by Metcalf and Tchobanoglou [37] as the best DS in anaerobic digesters for uniform nutrient and heat distribution, and proper mixers’ performance. The fruit waste consisted of homogenized apple, tomato, carrot, orange and potato with equal proportion (based on weight). Characterizations of the cheese whey and fruit waste were measured as soon as they was conveyed to the university’s laboratory (Table 1).

For assessing the influence of adding mixed fruit waste and cheese whey to anaerobic digestion of waste activated sludge, four ratios of waste activated sludge with mixed cheese whey and fruit waste were considered; A mixture with 100% waste activated sludge was considered as a control, the three other ratios were 95, 90 and 85% waste activated sludge with 5, 10 and 15% mixed fruit waste and cheese whey respectively. Characterizations of the mixtures with different ratios were measured as soon as the waste streams were completely mixed with each other (Table 2).

Table 2 Characterizations of mixed substrates

Key hydrolytic enzymes activity

Protease and cellulase play an important role in decomposition of organic matter and provision of more readily biodegradable organic matter for anaerobic organisms. Cellulase catalyzes hydrolyze of polysaccharides to monoses and protease degrades proteins to amino acids [12]. In this study, the activity of protease and cellulase, as two key hydrolytic enzymes, were measured in the biochemical methane potential reactors with and without mixed fruit waste and cheese whey (Table 3). According to the data obtained, both protease and cellulase activities increased significantly (p < 0.05) in the bioreactors containing mixed cheese whey and fruit waste in comparison to the control bioreactors. The highest increase in the activity of protease and cellulase was observed in the reactor containing 85% waste activated sludge and 15% mixed fruit and cheese whey that accounted respectively for 22 and 10% in comparison to the control reactor. Followed by that, the reactor containing 90% waste activated sludge and 10% cheese whey had the second highest protease and cellulase activity with 17 and 6% higher than the control.

Table 3 Protease and cellulase activity in different proportions of mixed cheese whey and fruit waste

Daily biogas and methane production

Daily biogas production from different bioreactors was measured during anaerobic digestion. The amount of daily biogas production enhanced in all of the bioreactors containing mixed fruit waste and cheese whey in comparison to the control bioreactor (Fig. 1). The maximum daily biogas was achieved in the bioreactor containing 85% waste activated sludge and 15% mixed cheese whey and fruit waste with 350 mL in the third day of digestion (Additional file 1). Analogously, cumulative biogas production, which can be obtained by calculating the area below each chart, was the highest in this bioreactor with 2970 mL at the end of digestion process (30th day). This was 33% higher than the cumulative biogas produced from the control bioreactor with 2225 mL at the end of digestion process.

Fig. 1
figure 1

Daily biogas production from the bioreactors during digestion time. Error bars represent standard errors obtained from triplicate measurements

Methane production from the bioreactors was regularly measured during the anaerobic digestion. According to the data obtained, the amount of methane production from the bioreactors containing cheese whey and fruit waste enhanced considerably in comparison to the control bioreactor (Fig. 2-a). For normalizing the data, the produced methane (mL) was divided by the added volatile solids (gram) to each bioreactors. The highest amount of methane production was achieved in the bioreactor containing 15% mixed fruit waste and cheese whey with 85% waste activated sludge that accounted for 384.1 mL CH4/g VS added (Additional file 1). This is 31% higher than that of the control bioreactor with 292.76 mL CH4/g VS added and 5% higher than that of the bioreactor containing 90% waste activated sludge and 10% mixed cheese whey and fruit waste (with 370.77 CH4/ g VS added).

Fig. 2
figure 2

a Cumulative methane production from the bioreactors during digestion time. Error bars represent standard error obtained from triplicate tests. b Methane content during anaerobic digestion. Error bars represent standard error obtained from triplicate tests

The amount of methane content during the anaerobic digestion fluctuated between 53 and 65% (Fig. 2-b). Assessing the mean value of methane content from different bioreactors, it was indicated that the mean value in the bioreactors containing mixed cheese whey and fruit waste during digestion period increased by 3%, reaching to 59% from 56%.

Removal of organic matter

The amount of COD and VS in digested sludge play an important role in applicability of the sludge to agricultural lands and forests as they should meet the local environmental criteria. In addition, VS is an important characteristic affecting transportation costs of sludge [38] and it represents the metabolic status of microbial community in anaerobic system [39]. Therefore, it is imperative to reduce the costs of sludge management in wastewater treatment plants that accounts for around 60% of total operation costs of wastewater treatment plants [2, 20]. In this study, the amount of VS and COD were regularly measured during the anaerobic digestion process. It was demonstrated that the removal efficiency of COD and VS enhanced in the bioreactors containing mixed cheese whey and fruit waste (Fig. 3-a and -b respectively). The highest improvement achieved in the bioreactor containing 15% mixed cheese whey and fruit waste with 85% waste activated sludge, in which COD and VS removal enhanced by 9 and 7% in comparison to the control.

Fig. 3
figure 3

a Chemical oxygen demand from the bioreactors during digestion time. Error bars represent standard error obtained from triplicate tests. b Volatile solid from the bioreactors during digestion time. Error bars represent standard error obtained from triplicate tests

Discussion

The enhancement of enzymes’ activity in the reactors contained cheese whey and fruit waste could be mainly attributed to the balanced C/N ratio, which provides higher amount of nutrients for microbial activity. Analogously, Feng et al. [30] revealed that the activity of protease, as a protein degrading enzyme, increases by 25% when waste activated sludge (with C/N = 7.1) is anaerobically co-digested with rice (C/N = 20), corroborating the effectiveness of balanced C/N in improving the activity of key hydrolytic enzymes.

The enhancement of biogas was marked from the first day of digestion process, indicating the positive effect of hydrolytic key enzymes activity in providing more readily biodegradable organic matter for better microbial activity. Higher soluble chemical oxygen demand in these reactors in comparison to the control provided higher amount of readily biodegradable organic matter for anaerobic organisms that may lead to increase of biogas production. However, in previous studies it was indicated that extremely high SCOD may lead to accumulation of volatile fatty acids, making a delay in biogas production or reducing pH of bioreactors [4, 40, 41].

The methane production enhanced as the proportion of mixed cheese whey and fruit waste increased. This is probably attributed to more balanced nutrients available to microbial community, positive synergism effect, and higher hydrolytic enzymes activity (Table 3). The enhancement in the bioreactors containing mixed cheese whey and fruit waste was significant (p < 0.05) in comparison to the control, corroborating the effectiveness of anaerobic co-digestion of waste activated sludge with mixed cheese whey and fruit waste in enhancing methane production. The enhanced methane is of paramount importance because not only does it enhance renewable energy generation in wastewater treatment plants, but it also reduces methane emission to the atmosphere, as a major greenhouse gas emission [17]. However, the population means of methane content was not significantly different in the bioreactors containing 5 and 10% mixed cheese whey and fruit waste (p = 0.41 > 0.05), but that of the bioreactor contained 15% cheese whey and fruit waste was of significant difference (p = 0.01 < 0.05). This confirms that mixed cheese whey and fruit waste in higher proportion can be effective in improving methane content of the biogas. In comparison to this study, higher methane content (67%) was achieved in Maragkaki et al. [23] study, in which sewage sludge was co-digested with mixed cheese whey, food waste and olive mill wastewater. Also, Habiba et al. [42] assessed anaerobic co-digestion of waste activated sludge with fruit and vegetable waste, in which methane content fluctuated around 60% in all of the bioreactors. The difference in results can be attributed to wastes specifications and operation conditions employed in these studies, compared to the current study. In this study, methane production from the bioreactors containing mixed cheese whey and fruit waste enhanced considerably from the first day of digestion, indicating lower lag time in these bioreactors in comparison to the control. Analogous trend was observed in Zou et al. [22] study, in which lower lag time (0.2 day) was achieved in anaerobic co-digestion of residual sludge and lignocellulosic wastes. Also, Callaghan et al. [43] revealed that cattle slurry with fruit waste can enhance methane production to 450 mL CH4/g VS added and adding chicken manure to this mixture declines methane production and VS reduction due to the accumulation of free ammonia.

The improved removal of organic matter can be linked to higher biogas and methane production, which lead to higher degradation of organic matter during anaerobic co-digestion of waste streams. The improved VS and COD are of great significance because not only does it reduce the transportation costs of digested waste streams, but it also paves the way for having integrated, sustainable system for reusing digested wastes in agricultural lands and forests. Compared to the current research, the amount of VS reduction was higher in Habiba et al. [42] study, in which waste activated sludge with fruit and vegetable waste was anaerobically digested in sequencing batch reactors.

In spite of the significant results this study represents, applying new methods to sludge treatment section of wastewater treatment plants entails inspecting long-term effect of the anaerobic co-digestion on microbial community and assessing economic viability of the proposed methods. Therefore, in prospective research, the effect of the mixed waste streams on microbial behaviour, economic viability, and environmental impacts of the proposed method should be put into perspective.

Conclusions

This study investigated the viability of enhancing anaerobic digestion of waste activated sludge using mixed fruit waste and cheese whey. It was revealed that anaerobic co-digestion of waste activated sludge with mixed fruit and cheese whey could stimulate hydrolytic enzymes activity and providing better nutrients balance for microbial communities, whereby not only methane production increases, but also organic matter removal enhances at the end of digestion process. The increased methane production is of paramount importance because higher amount of renewable energy could be produced from anaerobic digestion. It also reduces methane emission from sludge treatment units with harnessing methane, as a major greenhouse gas, and converting it to renewable energy. The enhanced removal of organic matter paves the way for having more integrated system via heightening quality of the digested waste streams, which increases applicability of the digested wastes to agricultural lands and reduces transportation costs of the wastes in wastewater treatment plants.

Methods

Analytical methods

TS, VS, TSS, VSS, COD, SCOD and alkalinity were measured according to standard methods for the examination of water and wastewater [44]. To separate solid particles from liquid phase, samples were centrifuged at 10000 rpm for 30 min, then the supernatant was filtered through 0.45 μm pore size glass fiber filters, using Buchner funnel and vacuum pump. C/N ratio was measured in a commercial laboratory. Total nitrogen (TN) was measured according to persulfate digestion method using Hach spectrophotometer. Total carbon (TC) was measured by catalytic oxidation on a total organic carbon (TOC) Euroglace analyser.

Protease and cellulase activities were measured according to well agar diffusion method [45, 46], in which carboxymethyl cellulase agar (CMCA) and plate count skim milk agar (PSMA) were used as growth medium for protease and cellulose enzymes. Methanogens affect protease and cellulase activity by consuming hydrolyzed organic matter, so for removing the errors caused by methanogens in measuring enzymatic activity, sludge samples were heated at 102 °C for 30 min prior to well agar diffusion tests and the methanogens were removed from the samples [47, 48]. After removing methanogens, the reactors were flushed with N2 gas. Then, they were sealed and put into water bath (36 ± 1 °C) for 72 h. Then the samples were used in well agar diffusion method.

Biogas and methane production were measured regularly during the digestion process. For measuring biogas production, liquid displacement method was employed, in which liquid barrier was 100% saturated with NaCl and acidified with H2SO4 (pH = 2), so as to reduce dissolution of CO2 and CH4 into the liquid barrier [49]. Methane production was measured with gas chromatography (GC), using thermal conductivity detector (TCD), and helium as carrier gas. The biogas was collected in Tedlar gas bags prior to use in GC tests.

Biochemical methane potential tests

Biochemical methane potential tests were carried out in 1000 mL bioreactors with working volume of 500 mL (Fig. 4). Fruit waste and cheese whey were mixed (50%:50% V/V) prior to mix with waste activated sludge. Then, the mixed fruit waste and cheese whey was combined with waste activated sludge as substrate for the inoculums. The ratio between the inoculum and substrate (I/S) was considered as 2 in this study for better activity of anaerobic organisms [50]. A control reactor without mixed fruit waste and cheese whey was considered for comparing different bioreactors. The pH of substrates was set at 7 and their temperature was increased to 37 °C prior to mix with the inoculums, so as to prevent pH and temperature shock to anaerobic organisms. After the substrates and inoculums were mixed, they were flushed with N2 gas for 2 min (1 L/min) and precisely sealed for creating strict anaerobic condition. The bioreactors were kept in warm water bath, heated by automatic heaters at 36 ± 1 °C during the anaerobic digestion. For adequate distribution of nutrients to various microbial communities and making uniform temperature in different parts of each bioreactor, they were constantly blended with magnetic stirrers at 100 rpm. The measurements were performed for 30 days, when no biogas production was detected from the bioreactors.

Fig. 4
figure 4

Schematic of experimental system. 1) BMP reactor, 2) aquarium 3) saturated and acidified water, 4) automatic heater, 5) magnetic stirrer, 6) sampling pipe, 7) control valve, 8) biogas collecting pipe, 9) biogas control valve, 10) graduated cylinder

Data analyses

The significance of difference between the studied parameters was specified with one-way factor Analysis of Variance ANOVA and the significance level was considered as p < 0.05. Data analyses and graph processing were conducted with Microsoft Excel software (2010).

Abbreviations

CMCA:

Carboxymethyl cellulase agar

COD:

Chemical oxygen demand

GC:

Gas chromatography

PSMA:

Plate count skim milk agar

SCOD:

Soluble chemical oxygen demand

TC:

Total carbon

TCD:

Thermal conductivity detector

TN:

Total nitrogen

TOC:

Total organic carbon

TS:

Total solid

TSS:

Total suspended solid

VS:

Volatile solid

VSS:

Volatile suspended solid

References

  1. Nazari L, Yuan Z, Santoro D, Sarathy S, Ho D, Batstone D, et al. Low-temperature thermal pre-treatment of municipal wastewater sludge: process optimization and effects on solubilization and anaerobic degradation. Water Res. 2017;113:111–23.

    Article  CAS  Google Scholar 

  2. Neyens E, Baeyens J, Dewil R, De Heyder B. Advanced sludge treatment affects extracellular polymeric substances to improve activated sludge dewatering. J Hazard Mater. 2004;106:83–92.

  3. Appels L, Degrève J, Van der Bruggen B, Van Impe J, Dewil R. Influence of low temperature thermal pre-treatment on sludge solubilisation, heavy metal release and anaerobic digestion. Bioresour Technol. 2010;101(15):5743–8.

    Article  CAS  Google Scholar 

  4. Hallaji SM, Torabian A, Aminzadeh B, Zahedi S, Eshtiaghi N. Improvement of anaerobic digestion of sewage mixed sludge using free nitrous acid and Fenton pre-treatment. Biotechnol Biofuels. 2018;11(1):233.

    Article  Google Scholar 

  5. Zahedi S, Icaran P, Yuan Z, Pijuan M. Enhancing sludge biodegradability through free nitrous acid pre-treatment at low exposure time. Chem Eng J. 2017;321:139–45.

    Article  CAS  Google Scholar 

  6. Wei W, Wang Q, Zhang L, Laloo A, Duan H, Batstone DJ, et al. Free nitrous acid pre-treatment of waste activated sludge enhances volatile solids destruction and improves sludge dewaterability in continuous anaerobic digestion. Water Res. 2018;130:13–9.

    Article  CAS  Google Scholar 

  7. Svensson K, Kjørlaug O, Higgins MJ, Linjordet R, Horn SJ. Post-anaerobic digestion thermal hydrolysis of sewage sludge and food waste: effect on methane yields, dewaterability and solids reduction. Water Res. 2018;132:158–66.

    Article  CAS  Google Scholar 

  8. Peng L, Appels L, Su H. Combining microwave irradiation with sodium citrate addition improves the pre-treatment on anaerobic digestion of excess sewage sludge. J Environ Manag. 2018;213:271–8.

    Article  CAS  Google Scholar 

  9. Pei H, Hu W, Liu Q. Effect of protease and cellulase on the characteristic of activated sludge. J Hazard Mater. 2010;178(1–3):397–403.

    Article  CAS  Google Scholar 

  10. Mata-Alvarez J, Mace S, Llabres P. Anaerobic digestion of organic solid wastes. An overview of research achievements and perspectives. Bioresour Technol. 2000;74(1):3–16.

    Article  CAS  Google Scholar 

  11. Tiehm A, Nickel K, Zellhorn M, Neis U, Tiehm A. Ultrasonic waste activated sludge disintegration for improving anaerobic stabilization. Water Res. 2001;35(8):2003–9.

    Article  CAS  Google Scholar 

  12. Feng Y, Zhang Y, Quan X, Chen S. Enhanced anaerobic digestion of waste activated sludge digestion by the addition of zero valent iron. Water Res. 2014;52:242–50.

    Article  CAS  Google Scholar 

  13. Lin Y, Wang D, Liang J, Li G. Mesophilic anaerobic co-digestion of pulp and paper sludge and food waste for methane production in a fed-batch basis. Environ Technol. 2012;33(23):2627–33.

    Article  CAS  Google Scholar 

  14. McCarty PL, Bae J, Kim J. Domestic wastewater treatment as a net energy producer-can this be achieved? Environ Sci Technol. 2011;45(17):7100–6.

    Article  CAS  Google Scholar 

  15. Ni JQ, Naveau H, Nyns EJ. Biogas: exploitation of a renewable energy in Latin America. Renew Energy. 1993;3(6–7):763–79.

    Article  CAS  Google Scholar 

  16. Xie S, Lawlor PG, Frost JP, Hu Z, Zhan X. Effect of pig manure to grass silage ratio on methane production in batch anaerobic co-digestion of concentrated pig manure and grass silage. Bioresour Technol. 2011;102(10):5728–33.

    Article  CAS  Google Scholar 

  17. Pilli S, More TT, Yan S, Tyagi RD, Surampalli RY. Fenton pre-treatment of secondary sludge to enhance anaerobic digestion: energy balance and greenhouse gas emissions. Chem Eng J. 2016;283:285–92.

    Article  CAS  Google Scholar 

  18. Dai X, Li X, Zhang D, Chen Y, Dai L. Simultaneous enhancement of methane production and methane content in biogas from waste activated sludge and perennial ryegrass anaerobic co-digestion: the effects of pH and C/N ratio. Bioresour Technol. 2016;216:323–30.

    Article  CAS  Google Scholar 

  19. Sanscartier D, MacLean HL, Saville B. Electricity production from anaerobic digestion of household organic waste in Ontario: techno-economic and GHG emission analyses. Environ Sci Technol. 2012;46(2):1233–42.

    Article  CAS  Google Scholar 

  20. Appels L, Baeyens J, Degrève J, Dewil R. Principles and potential of the anaerobic digestion of waste-activated sludge. Prog Energy Combust Sci. 2008;34(6):755–81.

    Article  CAS  Google Scholar 

  21. Hublin A, Schneider DR, Džodan J. Utilization of biogas produced by anaerobic digestion of agro-industrial waste: energy, economic and environmental effects. Waste Manag Res. 2014;32(7):626–33.

    Article  CAS  Google Scholar 

  22. Zou H, Chen Y, Shi J, Zhao T, Yu Q, Yu S, et al. Mesophilic anaerobic co-digestion of residual sludge with different lignocellulosic wastes in the batch digester. Bioresour Technol. 2018;268:371–81.

    Article  CAS  Google Scholar 

  23. Maragkaki AE, Vasileiadis I, Fountoulakis M, Kyriakou A, Lasaridi K, Manios T. Improving biogas production from anaerobic co-digestion of sewage sludge with a thermal dried mixture of food waste, cheese whey and olive mill wastewater. Waste Manag. 2018;71:644–51.

    Article  CAS  Google Scholar 

  24. Stroot PG, McMahon KD, Mackie RI, Raskin L. Anaerobic codigestion of municipal solid waste and biosolids under various mixing conditions - II: microbial population dynamics. Water Res. 2001;35(7):1804–16.

    Article  CAS  Google Scholar 

  25. Heo NH, Park SC, Kang H. Effects of mixture ratio and hydraulic retention time on single-stage anaerobic co-digestion of food waste and waste activated sludge. J Environ Sci Heal Part A. 2004;39(7):1739–56.

    Article  Google Scholar 

  26. Kim S-H, Han S-K, Shin H-S. Feasibility of biohydrogen production by anaerobic co-digestion of food waste and sewage sludge. Int J Hydrog Energy. 2004;29(15):1607–16.

    Article  CAS  Google Scholar 

  27. Rizk MC, Bergamasco R, Tavares CRG. Anaerobic co-digestion of fruit and vegetable waste and sewage sludge. Int J Chem React Eng. 2007;5:CP6–U148.

    Google Scholar 

  28. Estevez MM, Linjordet R, Morken J. Effects of steam explosion and co-digestion in the methane production from Salix by mesophilic batch assays. Bioresour Technol. 2012;104:749–56.

    Article  CAS  Google Scholar 

  29. Parkin GF, Owen WF. Fundamentals of anaerobic digestion of wastewater sludges. J Environ Eng. 1986;112(5):867–920.

    Article  CAS  Google Scholar 

  30. Feng L, Chen Y, Zheng X. Enhancement of waste activated sludge protein conversion and volatile fatty acids accumulation during waste activated sludge anaerobic fermentation by carbohydrate substrate addition: the effect of pH. Environ Sci Technol. 2009;43(12):4373–80.

    Article  CAS  Google Scholar 

  31. Pilli S, Yan S, Tyagi RD, Surampalli RY. Overview of Fenton pre-treatment of sludge aiming to enhance anaerobic digestion. Rev Environ Sci Biotechnol. 2015;14(3):453–72.

    Article  CAS  Google Scholar 

  32. Dai X, Hu C, Zhang D, Dai L, Duan N. Impact of a high ammonia-ammonium-pH system on methane-producing archaea and sulfate-reducing bacteria in mesophilic anaerobic digestion. Bioresour Technol. 2017;245:598–605.

    Article  CAS  Google Scholar 

  33. Wang G, Dai X, Zhang D, He Q, Dong B, Li N, et al. Two-phase high solid anaerobic digestion with dewatered sludge: improved volatile solid degradation and specific methane generation by temperature and pH regulation. Bioresour Technol. 2018;259:253–8.

    Article  CAS  Google Scholar 

  34. Hosseini Koupaie E, Barrantes Leiva M, Eskicioglu C, Dutil C. Mesophilic batch anaerobic co-digestion of fruit-juice industrial waste and municipal waste sludge: process and cost-benefit analysis. Bioresour Technol. 2014;152:66–73.

    Article  CAS  Google Scholar 

  35. Nguyen AQ, Wickham R, Nguyen LN, Phan HV, Galway B, Bustamante H, et al. Impact of anaerobic co-digestion between sewage sludge and carbon-rich organic waste on microbial community resilience. Environ Sci Water Res Technol. 2018;4(12):1956–65.

    Article  CAS  Google Scholar 

  36. Fitamo T, Boldrin A, Boe K, Angelidaki I, Scheutz C. Co-digestion of food and garden waste with mixed sludge from wastewater treatment in continuously stirred tank reactors. Bioresour Technol. 2016;206:245–54.

    Article  CAS  Google Scholar 

  37. Tchobanoglous G, Burton FL, Stensel HD. Wastewater engineering. Management. 1991;7:1–4.

  38. Arnaiz C, Gutierrez JC, Lebrato J. Biomass stabilization in the anaerobic digestion of wastewater sludges. Bioresour Technol. 2006;97(10):1179–84.

    Article  CAS  Google Scholar 

  39. Elango D, Pulikesi M, Baskaralingam P, Ramamurthi V, Sivanesan S. Production of biogas from municipal solid waste with domestic sewage. J Hazard Mater. 2007;141(1):301–4.

    Article  CAS  Google Scholar 

  40. Zahedi S. Energy efficiency: importance of indigenous microorganisms contained in the municipal solid wastes. Waste Manag. 2018;78:763–9.

    Article  Google Scholar 

  41. Chen Y, Cheng JJ, Creamer KS. Inhibition of anaerobic digestion process: a review. Bioresour Technol. 2008;99:4044–64.

  42. Habiba L, Hassib B, Moktar H. Improvement of activated sludge stabilisation and filterability during anaerobic digestion by fruit and vegetable waste addition. Bioresour Technol. 2009;100(4):1555–60.

    Article  CAS  Google Scholar 

  43. Callaghan FJ, Wase DAJ, Thayanithy K, Forster CF. Continuous co-digestion of cattle slurry with fruit and vegetable wastes and chicken manure. Biomass Bioenergy. 2002;22(1):71–7.

    Article  CAS  Google Scholar 

  44. APHA. Standard Methods. For the examination of water and wastewater. 22 nd. 2012;

  45. Lorian V. Antibiotics in laboratory medicine: Lippincott Williams & Wilkins; 2005.

  46. Singh Rathore S, Narendhirakannan RT. Journal Of Advanced Scientific Research Screening Of Cellulase Producing Microorganisms From Lake Area Containing Water Hyacinth For Enzymatic Hydrolysis Of Cellulose. J Adv Sci Res J Adv Sci Res. 2014;5(53):23–30.

    Google Scholar 

  47. Oh S-E, Van Ginkel S, Logan BE. The relative effectiveness of pH control and heat treatment for enhancing biohydrogen gas production. Environ Sci Technol. 2003;37(22):5186–90.

    Article  CAS  Google Scholar 

  48. Basu SK, Oleszkiewicz JA, Sparling R. Effect of sulfidogenic and methanogenic inhibitors on reductive dehalogenation of 2-chlorophenol. Environ Technol. 2005;26(12):1383–91.

    Article  CAS  Google Scholar 

  49. Walker M, Zhang Y, Heaven S, Banks C. Potential errors in the quantitative evaluation of biogas production in anaerobic digestion processes. Bioresour Technol. 2009;100(24):6339–46.

    Article  CAS  Google Scholar 

  50. Boulanger A, Pinet E, Bouix M, Bouchez T, Mansour AA. Effect of inoculum to substrate ratio (I/S) on municipal solid waste anaerobic degradation kinetics and potential. Waste Manag. 2012;32(12):2258–65.

    Article  CAS  Google Scholar 

Download references

Acknowledgments

The authors acknowledge the University of Tehran for providing materials and experimental facilities and Tehran Sewerage Company for providing the required samples and data for this study.

Funding

The authors would appreciate Tehran Sewerage Company for financially assisting this study, sending the sludge samples to the university laboratory, and providing some general information about the south wastewater treatment of Tehran.

Availability of data and materials

All data generated during this study are included in this published article and its additional file.

Author information

Authors and Affiliations

Authors

Contributions

SMH reviewed literatures and chose the subject. SMH, MK, and SPM designed and provided the BMP systems. SMH and KM conducted experiments. SMH and SPM wrote the paper. SMH proofed data and text. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Seyed Mostafa Hallaji.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional file

Additional file 1:

Table S1. Daily biogas production during digestion process (average of triplicate tests). Table S2. Cumulative methane production during digestion process (average of triplicate tests). Figure S1. Gas chromatography samples. (DOCX 50 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hallaji, S.M., Kuroshkarim, M. & Moussavi, S.P. Enhancing methane production using anaerobic co-digestion of waste activated sludge with combined fruit waste and cheese whey. BMC Biotechnol 19, 19 (2019). https://0-doi-org.brum.beds.ac.uk/10.1186/s12896-019-0513-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12896-019-0513-y

Keywords