DOI: https://doi.org/10.14710/presipitasi.v21i1.26-40

Incorporating Inhibition Effects and Hydrolysis Biokinetics into the Mathematical Model of Anaerobic Fermentation

*Allen Kurniawan orcid scopus publons  -  Institut Pertanian Bogor, Indonesia
Yanuar Chandra Wirasembada orcid scopus  -  Sejong University, South Korea
Mark L. Sibag orcid scopus  -  Batangas State University-Alangilan, Philippines
Erizal Erizal scopus  -  Institut Pertanian Bogor, Indonesia
Chusnul Arif orcid scopus  -  Institut Pertanian Bogor, Indonesia

Citation Format:
Abstract

Anaerobic digestion is a well-known biological treatment process. It uses less energy, consumes fewer nutrients, converts organic pollutants into methane gas, and produces a small quantity of biomass. The interactions among the various microbes in this complex biological system need to be better understood, and as a consequence, mathematical models need to be revised. This review discusses the principles of biokinetic models published in the literature on anaerobic fermentation as part of the anaerobic digestion process for waste-activated sludge. Biokinetic models for anaerobic fermentation have been developed to predict cell growth, substrate consumption, and gas production. This exploration delves into the incorporation of the hydrolysis stage, a multi-step process entailing the breakdown of carbohydrates, proteins, and lipids within existing biokinetic models. Because there is no single analytical method for accurately determining the biokinetics of anaerobic fermentation of waste-activated sludge incorporating hydrolysis parameters and inhibition effects are proposed to improve the estimated trends of process variables as a function of the design variables.

Fulltext View|Download
Keywords: Anaerobic fermentation; biokinetic; hydrolysis; inhibition; model

Article Metrics:

Article Info
Section: Review Article
Language : EN
Recent articles
The Review Study of Environmental Education Curriculum in Climate Change Mitigation The Effectiveness of Using Eco-Friendly Bag to Support Sustainable Development Goals: A Review Incorporating Inhibition Effects and Hydrolysis Biokinetics into the Mathematical Model of Anaerobic Fermentation Biogas Purification using Modified Red Mud Adsorbent with a Study of the Length of the Adsorbent Column Relationship between Risk Factors for Dug Well Contamination with Total Coliform Counts in Dug Well Water Utilization of Sludge from Cow Dung Biogas as Additional Feed for Sangkuriang Catfish (Claries gariepinus) Spatial Planning for Agricultural Development Based on Carrying Capacity of Ecosystem Services in The Melolo Transmigration Area, East Sumba Water Purification Using SPZ and SPA Filter Media to Improve the Water Quality of Sekar Lepen Keprabon River The Analysis of the Household Wastewater Sewerage Ownership Factor in the Working Area of Pamotan Health Center, Rembang Regency, Central Java More recent articles
Most cited articles
KOMBINASI FEEDING BIOSTARTER DAN AIR DALAM ANAEROBIK DIGESTER Penerangan Jalan Umum Tenaga Surya: Studi Kasus di Kota Pangkalpinang KAJIAN PUSTAKA POTENSI PEMANFAATAN GREYWATERSEBAGAI AIR SIRAM WC DAN AIR SIRAM TANAMAN DI RUMAH TANGGA EVALUATION ON COMMUNITY BASED FOREST MANAGEMENT IMPLEMENTATION IN RANDUBLATUNG, BLORA POLA PENYEBARAN LIMPASAN LOGAM LINDI TPA JATIBARANG PADA AIR SUNGAI KREO More cited articles
  1. Aiba, S., Shoda, M., Nagatani, M., 1968. Kinetics of product inhibition in alcohol fermentation. Biotechnology and Bioengineering 10, 845–864
  2. Alavi, J., Ansari, S., 2022. Kinetic models evaluation for chemical organic matter removal prediction in a full-scale primary facultative pond treating municipal wastewater. Water Science and Technology 85, 1720–1735
  3. Appels, L., Lauwers, J., Degrve, J., Helsen, L., Lievens, B., Willems, K., Van Impe, J., Dewil, R., 2011. Anaerobic digestion in global bio-energy production: Potential and research challenges. Renewable and Sustainable Energy Reviews 15, 4295–4301
  4. Arnaldos, M., Amerlinck, Y., Rehman, U., Maere, T., Van Hoey, S., Naessens, W., Nopens, I., 2015. From the affinity constant to the half-saturation index: Understanding conventional modeling concepts in novel wastewater treatment processes. Water Research 70, 458–470
  5. Bamforth, C.W., Cook, D.J., 2019. Food, Fermentation and Micro-organisms, Food, Fermentation and Micro-organisms. John Wiley & Sons Inc., New York
  6. Bareha, Y., Girault, R., Guezel, S., Chaker, J., Trémier, A., 2019. Modeling the fate of organic nitrogen during anaerobic digestion: Development of a bioaccessibility based ADM1. Water Research 154, 298–315
  7. Barthakur, A., Bora, M., Singh, H.D., 1991. Kinetic Model for Substrate Utilization and Methane Production in the Anaerobic Digestion of Organic Feeds. Biotechnology Progress 7, 369–376
  8. Batstone, D.J., 2006. Mathematical Modelling of Anaerobic Reactors Treating Domestic Wastewater: Rational Criteria for Model Use. Reviews in Environmental Science and Bio/Technology 5, 57–71
  9. Batstone, D.J., Puyol, D., Flores-Alsina, X., Rodríguez, J., 2015. Mathematical modelling of anaerobic digestion processes: applications and future needs. Reviews in Environmental Science and Biotechnology 14, 595–613
  10. Bialek, K., 2012. A quantitative and qualitative analysis of microbial community. National University of Ireland
  11. Chezeau, B., Vial, C., 2019. Modeling and Simulation of the Biohydrogen Production Processes. In: Pandey, A., Mohan, S.V., Chang, J., Hallenbeck, P.C., Larroche, C. (Eds.), Biomass, Biofuels, Biochemicals: Biohydrogen. Elsevier, pp. 445–483
  12. Christy, P.M., Gopinath, L.R., Divya, D., 2014. A review on anaerobic decomposition and enhancement of biogas production through enzymes and microorganisms. Renewable and Sustainable Energy Reviews
  13. Delgadillo-Mirquez, L., Lopes, F., Taidi, B., Pareau, D., 2016. Nitrogen and phosphate removal from wastewater with a mixed microalgae and bacteria culture. Biotechnology Reports 11, 18–26
  14. Dionisi, D., 2017. Biological Wastewater Treatment Processes: Mass and Heat Balances. CRC Press, Boca Raton, US
  15. Doran, P.M., 2012. Bioprocess Engineering Principles, 2nd ed, Bioprocess Engineering Principles. Academic Press, Oxford
  16. Feng, L., Liu, Z., Lin, X., Yang, F., 2022. Solar energy application and its effect on microorganisms in food waste anaerobic fermentation regulated by organic load. Energy Reports 8, 679–688
  17. Frunzo, L., Fermoso, F.G., Luongo, V., Mattei, M.R., Esposito, G., 2019. ADM1-based mechanistic model for the role of trace elements in anaerobic digestion processes. Journal of Environmental Management 241, 587–602
  18. Gharasoo, M., Centler, F., Van Cappellen, P., Wick, L.Y., Thullner, M., 2015. Kinetics of substrate biodegradation under the cumulative effects of bioavailability and self-inhibition. Environmental Science and Technology 49, 5529–5537
  19. Ghose, T.K., Tyagi, R.D., 1979. Rapid ethanol fermentation of cellulose hydrolysate. II. Product and substrate inhibition and optimization of fermentor design. Biotechnology and Bioengineering 21, 1401–1420
  20. Harmand, J., Lobry, C., Rapaport, A., Sati, T., 2017. The Chemostat: Mathematical Theory of Microorganism Cultures. John Wiley & Sons Inc., New York
  21. Huang, Z., Chen, Y., Wang, S., 2020. Numerical studies on the electromagnetic and thermal performances of radio frequency disinfestation treatments for dried apricots. Postharvest Biology and Technology 163
  22. Jimenez, J., Latrille, E., Harmand, J., Robles, A., Ferrer, J., Gaida, D., Wolf, C., Mairet, F., Bernard, O., Alcaraz-Gonzalez, V., Mendez-Acosta, H., Zitomer, D., Totzke, D., Spanjers, H., Jacobi, F., Guwy, A., Dinsdale, R., Premier, G., Mazhegrane, S., Ruiz-Filippi, G., Seco, A., Ribeiro, T., Pauss, A., Steyer, J.P., 2015. Instrumentation and control of anaerobic digestion processes: a review and some research challenges. Reviews in Environmental Science and Biotechnology
  23. Kumar, J.A., Sathish, S., Krithiga, T., Praveenkumar, T.R., Lokesh, S., Prabu, D., Annam Renita, A., Prakash, P., Rajasimman, M., 2022. A comprehensive review on bio-hydrogen production from brewery industrial wastewater and its treatment methodologies. Fuel 319
  24. Kurniawan, A., Wirasembada, Y.C., Park, K.Y., Kim, Y.M., Hur, J., Cho, J., 2018. Estimation of biokinetic parameters in the acid fermentation of primary sludge using an anaerobic baffled reactor. Environmental Science: Water Research & Technology 4, 1997–2011
  25. Kythreotou, N., Florides, G., Tassou, S.A., 2014. A review of simple to scientific models for anaerobic digestion. Renewable Energy 71, 701–714
  26. Lee, E., Jalalizadeh, M., Zhang, Q., 2015. Growth kinetic models for microalgae cultivation: A review. Algal Research 12, 497–512
  27. Liu, S., 2012. Bioprocess Engineering: Kinetics, Biosystems, Sustainability, and Reactor Design, Bioprocess Engineering: Kinetics, Biosystems, Sustainability, and Reactor Design. Elsevier, Oxford
  28. Maier, R.M., Pepper, I.L., 2015. Bacterial growth. In: Environmental Microbiology. Academic Press, New York, pp. 37–56
  29. Maleki, E., Bokhary, A., Liao, B.Q., 2018. A review of anaerobic digestion bio-kinetics. Reviews in Environmental Science and Biotechnology 17, 691–705
  30. Mandli, A.R., Modak, J.M., 2014. Optimal control analysis of the dynamic growth behavior of microorganisms. Mathematical Biosciences 258, 57–67
  31. Mao, C., Feng, Y., Wang, X., Ren, G., 2015. Review on research achievements of biogas from anaerobic digestion. Renewable and Sustainable Energy Reviews
  32. Monod, J., 1949. The growth of bacterial cultures. Annual Review of Microbiology 3, 371–394
  33. Moser, A., Appl, C., Brüning, S., Hass, V.C., 2021. Mechanistic Mathematical Models as a Basis for Digital Twins. Advances in biochemical engineering/biotechnology 176, 133–180
  34. Mulchandani, A., Luong, J.H.T., 1989. Microbial inhibition kinetics revisited. Enzyme and Microbial Technology 32, 92–98
  35. Najafpour, G.D., 2007. Biochemical Engineering and Biotechnology, 2nd ed, Biochemical Engineering and Biotechnology. Elsevier Science, Amsterdam
  36. Noll, P., Henkel, M., 2020. History and Evolution of Modeling in Biotechnology: Modeling & Simulation, Application and Hardware Performance. Computational and Structural Biotechnology Journal
  37. Okpokwasili, G.C., Nweke, C.O., 2005. Microbial growth and substrate utilization kinetics. Journal of Biotechnology 5, 305–317
  38. Palanichamy, J., Palani, S., 2014. Simulation of anaerobic digestion processes using stochastic algorithm. Journal of Environmental Health Science and Engineering 12, 121
  39. Pavlostathis, S.G., Giraldo-Gomez, E., 1991. Kinetics of anaerobic treatment: A critical review. Critical Reviews in Environmental Control 21, 411–490
  40. Pavlostathis, S.G., Gossett, J.M., 1986. A kinetic model for anaerobic digestion of biological sludge. Biotechnology and Bioengineering 28, 1519–1530
  41. Perendeci, A., Arslan, S., Çelebi, S.S., Tanyolaç, A., 2008. Prediction of effluent quality of an anaerobic treatment plant under unsteady state through ANFIS modeling with on-line input variables. Chemical Engineering Journal 145, 78–85
  42. Perez-Garcia, O., Lear, G., Singhal, N., 2016. Metabolic network modeling of microbial interactions in natural and engineered environmental systems. Frontiers in Microbiology
  43. Priyadharshini, S.D., Bakthavatsalam, A.K., 2019. A comparative study on growth and degradation behavior of C. pyrenoidosa on synthetic phenol and phenolic wastewater of a coal gasification plant. Journal of Environmental Chemical Engineering 7
  44. Qasim, S.R., Zhu, G., 2018. Wastewater Treatment and Reuse - Volume 1: Principles and Basic Treatment. CRC Press, Boca Raton
  45. Rajagopal, R., Torrijos, M., Kumar, P., Mehrotra, I., 2013. Substrate removal kinetics in high-rate upflow anaerobic filters packed with low-density polyethylene media treating high-strength agro-food wastewaters. Journal of Environmental Management 116, 101–106
  46. Rosso, L., Lobry, J.R., Flandrois, J.P., 1993. An Unexpected Correlation between Cardinal Temperatures of Microbial Growth Highlighted by a New Model. Journal of Theoretical Biology 162, 447–463
  47. Tao, Y., Wu, D., Zhang, Q.A., Sun, D.W., 2014. Ultrasound-assisted extraction of phenolics from wine lees: Modeling, optimization and stability of extracts during storage. Ultrasonics Sonochemistry 21
  48. Teo, C.W., 2016. Unified Theory and Model for Anaerobic Hydrolysis in Municipal Wastewater Treatment: Review of Enzymological Aspects and Hydrolysis Assessments. Journal of Environmental Engineering 142
  49. Vavilin, V.A., Fernandez, B., Palatsi, J., Flotats, X., 2008. Hydrolysis kinetics in anaerobic degradation of particulate organic material: An overview. Waste Management 28, 939–951
  50. Wade, M.J., 2020. Not just numbers: Mathematical modelling and its contribution to anaerobic digestion processes. Processes
  51. Wainaina, S., Lukitawesa, Kumar Awasthi, M., Taherzadeh, M.J., 2019. Bioengineering of anaerobic digestion for volatile fatty acids, hydrogen or methane production: A critical review. Bioengineered
  52. Wan, K., Yu, Y., Xiao, C., Hu, J., Liu, X., Deng, X., Chi, R., 2022. Effect of rare earth element Y(III) on short-term denitrification performance of anaerobic ammonia oxidized granular sludge. Journal of Chemical Technology and Biotechnology 97, 1833–1841
  53. Wang, Z., Liu, T., Duan, H., Song, Y., Lu, X., Hu, S., Yuan, Z., Batstone, D., Zheng, M., 2021. Post-treatment options for anaerobically digested sludge: Current status and future prospect. Water Research
  54. Xie, S., Hai, F.I., Zhan, X., Guo, W., Ngo, H.H., Price, W.E., Nghiem, L.D., 2016. Anaerobic co-digestion: A critical review of mathematical modelling for performance optimization. Bioresource Technology
  55. Xu, F., Li, Y., Wang, Z.W., 2015. Mathematical modeling of solid-state anaerobic digestion. Progress in Energy and Combustion Science
  56. Xu, S.Y., Karthikeyan, O.P., Selvam, A., Wong, J.W.C., 2014. Microbial community distribution and extracellular enzyme activities in leach bed reactor treating food waste: Effect of different leachate recirculation practices. Bioresource Technology 168, 41–48
  57. Yaqub, M., Lee, W., 2022. Modeling nutrient removal by membrane bioreactor at a sewage treatment plant using machine learning models. Journal of Water Process Engineering 46
  58. Yu, L., Wensel, P.C., Ma, J.W., Chen, S.L., 2013. Mathematical Modeling in Anaerobic Digestion (AD). Journal of Bioremediation & Biodegradation 5, S4-003
  59. Yu, Q., Feng, L., Zhen, X., 2021. Effects of organic loading rate and temperature fluctuation on the microbial community and performance of anaerobic digestion of food waste. Environmental Science and Pollution Research 28, 13176–13187
  60. Zhen, G., Lu, X., Kato, H., Zhao, Y., Li, Y.Y., 2017. Overview of pretreatment strategies for enhancing sewage sludge disintegration and subsequent anaerobic digestion: Current advances, full-scale application and future perspectives. Renewable and Sustainable Energy Reviews
  61. Zhen, G., Lu, X., Li, Y.Y., Liu, Y., Zhao, Y., 2015. Influence of zero valent scrap iron (ZVSI) supply on methane production from waste activated sludge. Chemical Engineering Journal 263, 461–470
  62. Zhong, S., Zhang, K., Bagheri, M., Burken, J.G., Gu, A., Li, B., Ma, X., Marrone, B.L., Ren, Z.J., Schrier, J., Shi, W., Tan, H., Wang, T., Wang, X., Wong, B.M., Xiao, X., Yu, X., Zhu, J.J., Zhang, H., 2021. Machine Learning: New Ideas and Tools in Environmental Science and Engineering. Environmental Science and Technology 55, 12741–12754

Last update:

No citation recorded.

Last update: 2024-04-30 20:56:45

No citation recorded.