Components and their assessment in different biogas slurries for enhanced waste management

Abstract

In this study, liquid fermented wastes from 15 licensed biogas plants located within different regions of Türkiye were determined and the parameters that are important to waste management evaluations were revealed. Accordingly, some physical, chemical, and biological analyses include moisture, dry matter (DM), organic matter (OM), pH, EC, total N, P, K, Salmonella, Escherichia coli, E.coli O157:H7, and Enterobacteria were conducted. Spearman’s correlation analysis was conducted to determine the relationship among the results, and a regression analysis was conducted to reveal the effect of the results on each other. In the wastes, DM values were between 0.53-9.71%, OM values were between 0.53-7.76%, N contents were between 0.10-0.74%, P contents were between 0.04-0.22%, K contents were between 0.15-0.56%, EC values were between 1.50-6.51 dS m-1, B contents were between 16.96-34.63 mg kg-1, and Na contents were between 0.11-0.40%. A correlation analysis was conducted to reveal the relationship of OM and DM to other parameters. OM content had a significant correlation with N (73.9%), P (80.4%9, Fe (71.4%), Mn (75.7%), EC (53.2%), K (60.7%), and Mg at 72.1%. The DM contents had a significant correlation with N (68.2%), P (95.4%), Cu (60.0%), Fe (88.2%), Mn (94.3%), Zn (67.5%), EC (76.1%), K (81.4%), and Mg at 83.9%. A significant regression model and the variances of DM and OM variables were 37.8 and 24.8% for N (%), 61.7 and 31.5% for P (%), 53.9 and 22.4% for K (%), 46.6 and 23.8% for Ca (%), and 70.0 and 45.7% for Mg (%), respectively. Finally, these observations should be used to demonstrate the usability of liquid fermented wastes for agricultural purposes.

Keywords

• Biogas
• slurry
• dry matter
• organic matter
• correlation
• regression.

References

1. Al Seadi, T., Drosg, B., Fuchs, W., Rutz, D., Janssen, R., 2013. Biogas digestate quality and utilization. In: The biogas handbook. The Biogas Handbook : Science, Production and Applications. Wellinger, A., Murphy, J., Baxter, D. (Eds.). Woodhead Publishing, pp. 267-301.
2. Anonymous, 2021. European Biogas Association: Number of Biogas Plants in Europe. Available at [Acces date: 01.06.2021]. https://www.europeanbiogas.eu/the-contribution-of-the-biogas-and-biomethane-industries-to-medium-term-greenhouse-gas-reduction-targets-and-climate-neutrality-by-2050/
3. Bauer, A., Mayr, H., Hopfner-Sixt, K., Amon, T., 2009. Detailed monitoring of two biogas plants and mechanical solid-liquid separation of fermentation residues. Journal of Biotechnology 142(1): 56-63.
4. Bremner, J.M., 1965. Total nitrogen, In: Methods of soil analysis. Part 2. Chemical and microbiological properties. Black, C.A., Evans, D.D., White, J.L., Ensminger, L.E., Clark F.E. (Eds.), Soil Science Society of America. Madison, Wisconsin, USA. pp. 1149-1176.
5. Dahlin, J., Nelles, M., Herbes, C., 2017. Biogas digestate management: Evaluating the attitudes and perceptions of German gardeners towards digestate-based soil amendments. Resources, Conservation and Recycling 118: 27-38.
6. Egieya, J.M., Cucek, L., Zirngast, K., Isafiade, A.J., Pahor, B., Kravanja, Z., 2018. Biogas supply chain optimization considering different multi-period scenarios. Chemical Engineering Transactions 70: 985-990.
7. Fouda, S., von Tucher, S., Lichti, F., Schmidhalter, U., 2013. Nitrogen availability of various biogas residues applied to ryegrass. Journal of Plant Nutrition and Soil Science 176(4): 572-584. Herbes, C., Roth, U., Wulf, S., Dahlin, J., 2020. Economic assessment of different biogas digestate processing technologies: A scenario-based analysis. Journal of Cleaner Production 255: 120282.
8. ISO 21528-1, Microbiology of the food chain-Horizontal method for the detection and enumeration of Enterobacteriaceae-Part 1: Detection of Enterobacteriaceae.

9. Jackson, M.L. 1958. Soil Chemical Analysis. Prentice Hall Inc., Englewood Chiffs, 498p.
10. Kalra, Y. 1997. Handbook of reference methods for plant analysis. CRC press. 300p.
11. Leininger, D.J., Roberson, J.R., Elvinger, F., 2001. Use of eosin methylene blue agar to differentiate Escherichia coli from other gram-negative mastitis pathogens. Journal of Veterinary Diagnostic Investigation 13(3): 273-275.
12. Mooijman, K.A., Pielaat, A., Kuijpers, A.F.A., 2019. Validation of EN ISO 6579-1- Microbiology of the food chain-Horizontal method for the detection, enumeration and serotyping of Salmonella - Part 1 detection of Salmonella spp. International Journal of Food Microbiology 288: 3-12.
13. Nasir, I.M., Ghazi, T.I.M., Omar, R., 2012. Production of biogas from solid organic wastes through anaerobic digestion: a review. Applied Microbiology and Biotechnology 95(2): 321-329.
14. Stinner, W., Moller, K., Leithold, G., 2008. Effects of biogas digestion of clover/grass-leys, cover crops and crop residues on nitrogen cycle and crop yield in organic stockless farming systems. European Journal of Agronomy 29(2-3): 125-134.
15. Wang, H., Xu, J., Sheng, L., Liu, X., 2018. Effect of addition of biogas slurry for anaerobic fermentation of deer manure on biogas production. Energy 165: 411-418.
16. Warnars, L., Oppenoorth, H., 2014. Bio slurry: A supreme fertilizer. A study on bio slurry results and uses. Hivos People Unlimited, FSC. Hague, Netherlands. 49p.
17. Wentzel, S., Joergensen, R.G., 2016. Quantitative microbial indices in biogas and raw cattle slurries. Engineering in Life Sciences 16(3): 231-237.
18. Yan, L., Liu, Q., Liu, C., Liu, Y., Zhang, M., Zhang, Y., Gu, W., 2019. Effect of swine biogas slurry application on soil dissolved organic matter (DOM) content and fluorescence characteristics. Ecotoxicology and Environmental Safety 184: 109616.
19. Zadik, P.M., Chapman, P.A., Siddons, C.A., 1993. Use of tellurite for the selection of verocytotoxigenic Escherichia coli O157. Journal of Medical Microbiology 39(2): 155-158.