DOI: https://doi.org/10.9767/bcrec.16.2.10306.331-341

Mathematical Modelling of Alkaline and Ionic Liquid Pretreated Coconut Husk Enzymatic Hydrolysis

Chemical Engineering Department, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya 6011, Indonesia

Received: 8 Feb 2021; Revised: 27 Apr 2021; Accepted: 28 Apr 2021; Available online: 2 May 2021; Published: 30 Jun 2021.
Editor(s): Is Fatimah, Istadi Istadi
Open Access Copyright (c) 2021 by Authors, Published by BCREC Group
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Fulltext View|Download

Citation Format:
Cover Image
Abstract

The problem of crude oil reserve shortage and air quality decline currently have led researches on renewable fuel such as bioethanol and biohydrogen. The attempt to provide such biofuel involves the utilization of enormously available wasted materials, lignocellulose. Coconut husk is one of such materials available in Indonesia. The previous work had reported the quantity of total reducing sugar produced after the enzymatic hydrolysis of pretreated coconut husk. The pretreatment methods used were dilute sodium hydroxide solution (1 and 4% w/v), 1,3-methylmethylimidazolium dimethyl phosphate ionic liquid and the combination of both methods. This work focused on constructing the mathematical model which describes the kinetic of those enzymatic hydrolysis reactions. Mathematical model expressions help describing as well as predicting the process behavior, which is commonly needed in the process design and control. The development of mathematical model in this work was done based on the total reducing sugar concentration resulted in batch hydrolysis reaction. The kinetic parameters including initial available substrate (S0), maximum reaction rate (rmax), and half-maximum rate constant (KM). According to the values of half-maximum rate constant (KM), the enzymatic hydrolysis performance of coconut husk treated using ionic liquid is better than that treated using dilute alkaline solution as the former had shown lower KM value and hence higher enzyme affinity to the substrate. The best hydrolysis result was performed using combination of 1% dilute sodium hydroxide solution and ionic liquid with kinetic model parameter of 0.5524 g/L.h of rmax, 0.0409 g/L of KM, and 4.1919 g/L of S0. Copyright © 2021 by Authors, Published by BCREC Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).

 

Keywords: Reducing Sugar; Enzyme; Kinetic; Reaction; Lignocellulose
Funding: Ministry of Research and Technology of Republic of Indonesia

Article Metrics:

Article Info
Section: The 3rd International Conference on Chemistry, Chemical Process and Engineering 2020) (IC3PE 2020)
Language : EN
Recent articles
Evaluation of Corrosion Inhibition of 316L Stainless Steel by Permanganate Ions in Chloride Solution The Promotion Effect of Cu on the Pd/C Catalyst in the Chemoselective Hydrogenation of Unsaturated Carbonyl Compounds Mathematical Modelling of Alkaline and Ionic Liquid Pretreated Coconut Husk Enzymatic Hydrolysis Cellulose and TiO2–ZrO2 Nanocomposite as a Catalyst for Glucose Conversion to 5-EMF Investigating Photochromic Behavior of Organic Dyes in Solution Form using Multilevel Factorial Design Mesoporous Magnesium Oxide Adsorbent Prepared via Lime (Citrus aurantifolia) Peel Bio-templating for CO2 Capture Frontmatter (Front Cover, Editorial Team, Indexing, and Table of Contents) Backmatter (Publication Ethics, Copyright Transfer Agreement for Publishing Form) More recent articles
  1. V. (2015). The role of biomass and bioenergy in a future bioeconomy: Policies and facts. Environmental Development, 15, 3–34. DOI: 10.1016/j.envdev.2015.03.006
  2. Shafiee, S., Topal, E. (2009). When will fossil fuel reserves be diminished?. Energy Policy, 37(1), 181–189. DOI: 10.1016/j.enpol.2008.08.016
  3. Pereira, L., Cavalett, O., Bonomi, A., Zhang, Y., Warner, E., Chum, H. (2019). Comparison of biofuel life-cycle GHG emissions assessment tools: The case T studies of ethanol produced from sugarcane, corn, and wheat. Renewable and Sustainable Energy Reviews, 110, 1–12. DOI: 10.1016/j.rser.2019.04.043
  4. Chen, H., Fu, X. (2016). Industrial technologies for bioethanol production from lignocellulosic biomass. Renewable and Sustainable Energy Reviews, 57, 468–478. DOI: 10.1016/j.rser.2015.12.069
  5. Aditiya, H., Mahlia, T., Chong, W., Nur, H., Sebayang, A. (2016). Second generation bioethanol production: A critical review. Renewable and Sustainable Energy Reviews, 66, 631–653. DOI: 10.1016/j.rser.2016.07.015
  6. Chandel, A., Garlapati, V., Singh, A., Antunes, F., da Silva, S. (2018). The path forward for lignocellulose biorefineries: bottlenecks, solutions, and perspective on commercialization. Bioresource Technology, 264, 370–381. DOI: 10.1016/j.biortech.2018.06.004
  7. Menon, V., Rao, M. (2012). Trends in bioconversion of lignocellulose: Biofuels, platform chemicals & biorefinery concept. Progress in Energy and Combustion Science, 38, 522–550. DOI: 10.1016/j.pecs.2012.02.002
  8. FAOSTAT. (2017). FAOSTAT (Food and Agriculture Organization of the United State). Retrieved May 2019, from http://www.fao.org/faostat/en/#data/QC
  9. Brandt, A., Gräsvik, J., Hallett, J., Welton, T. (2013). Deconstruction of lignocellulosic biomass with ionic liquids. Green Chemistry, 15, 550–583. DOI: 10.1039/c2gc36364j
  10. Azarpira, A., Ralph, J., Lu, F. (2014). Catalytic Alkaline Oxidation of Lignin and its Model Compounds: a Pathway to Aromatic Biochemicals. BioEnergy Research, 7, 78–86. DOI 10.1007/s12155-013-9348-x
  11. Coimbra, M., Duque, A., Saéz, F., Manzanares, P., Grazia-Cruz, C., Ballesteros, M. (2016). Sugar production from wheat straw biomass by alkaline extrusion and enzymatic hydrolysis. Renewable Energy, 86, 1060–1068. DOI: 10.1016/j.renene.2015.09.026
  12. Lee, J. (2001). Biochemical Engineering. Washington, United States: Prentice-Hall, Inc
  13. Alvira, P., Tomás-Pejó, E., Ballesteros, M., Negro, M. (2010). Pretreatment technologies for an efficient bioethanol production process based on enzymatic hydrolysis: A review. Bioresource Technology, 101, 4851–4861. DOI: 10.1016/j.biortech.2009.11.093
  14. Chen, H., Liu, J., Chang, X., Chen, D., Xue, Y., Liu, P., Lin, H., Han, S. (2017). A review on the pretreatment of lignocellulose for high-value chemicals. Fuel Processing Technology, 160, 196–206. DOI: 10.1016/j.fuproc.2016.12.007
  15. Sun, Y., Cheng, J. (2002). Hydrolysis of lignocellulosic materials for ethanol production: a review. Bioresource Technology, 83, 1–11. DOI: 10.1016/s0960-8524(01)00212-7
  16. Taherzadeh, M., Karimi, K. (2008). Pretreatment of Lignocellulosic Wastes to Improve Ethanol and Biogas Production: A Review. International Journal of Molecular Sciences, 9, 1621–1651. DOI: 10.3390/ijms9091621
  17. Kim, J., Lee, Y., Kim, T. (2016). A review on alkaline pretreatment technology for bioconversion of lignocellulosic biomass. Bioresource Technology, 199, 42–48. DOI: 10.1016/j.biortech.2015.08.085
  18. Wang, Q., Wang, W., Tan, X., Zahoor, Chen, X., Guo, Y., Yu, Q., Yuan, Z., Zhuang, X. (2019). Low-temperature sodium hydroxide pretreatment for ethanol production from sugarcane bagasse without washing process. Bioresource Technology, 291, 121844. DOI: 10.1016/j.biortech.2019.121844
  19. Nagarajan, S., Skillen, N., Irvine, J., Lawton, L., Robertson, P. (2017). Cellulose II as bioethanol feedstock and its advantages over native cellulose. Renewable and Sustainable Energy Reviews, 77, 182–192. DOI: 10.1016/j.rser.2017.03.118
  20. Hayes, D. (2009). An examination of biorefining processes, catalysts and challenges. Catalysis Today, 145, 138–151. DOI: 10.1016/j.cattod.2008.04.017
  21. Mohan, M., Deshavath, N., Banaerjee, T., Goud, V., Dasu, V. (2018). Ionic liquid and sulfuric acid-based pretreatment of bamboo: biomass delignification and enzymatic hydrolysis for the production of reducing sugars. Industrial & Engineering Chemistry Research, 57(31), 10105–10117. DOI: 10.1021/acs.iecr.8b00914
  22. Sangian, H., Kristian, J., Rahma, S., Agnesty, S., Gunawan, S., Widjaja, A. (2015). Comparative Study of the Preparation of Reducing Sugars Hydrolyzed from High-Lignin Lignocellulose Pretreated with Ionic Liquid, Alkaline Solution and Their Combination. Journal of Engineering and Technological Sciences, 47(2), 137–148. DOI: 10.5614/j.eng.technol.sci.2015.47.2.3
  23. Sangian, H., Kristian, J., Rahma, S., Dewi, H., Puspasari, D., Agnesty, S.Y., Gunawan, S., Widjaja, A. (2015). Preparation of Reducing Sugar Hydrolyzed from High- Lignin Coconut Coir Dust Pretreated by the Recycled Ionic Liquid [mmim][dmp] and Combination with Alkaline. Bulletin of Chemical Reaction Engineering & Catalysis, 10(1), 8–22. DOI: 10.9767/bcrec.10.1.7058.8-22
  24. Miller, G. (1959). Use of DinitrosaIicyIic Acid Reagent for Determination of Reducing Sugar. Analytical Chemistry, 31(3), 426–428. DOI: 10.1021/ac60147a030
  25. Dorman, J., Prince, P. A. (1980). Family of embedded Runge-Kutta formulae. Journal of Computational and Applied Mathematics, 6, 19-26. DOI: 10.1016/0771-050X(80)90013-3
  26. Shampine, L., Reichelt, M. (1997). The Matlab Suite. SIAM Journal on Scientific Computing, 18, 1–22. DOI: 10.1137/S1064827594276424
  27. Lagarias, J., Reeds, J., Wright, M., Wright, P. (1998). Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions. SIAM Journal on Optimization, 9, 112–147. DOI: 10.1137/S1052623496303470
  28. Spiess, A., Neumeyer, N. (2010). An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: A Monte Carlo approach. BMC Pharmacology, 10(6), 4–11. DOI: 10.1186/1471-2210-10-6
  29. Yeh, A., Huang, Y., Chen, S. (2010). Effect of particle size on the rate of enzymatic hydrolysis of cellulose. Carbohydrate Polymers, 79, 192–199. DOI: 10.1016/j.carbpol.2009.07.049
  30. Cekmecelioglu, D., Uncu, O. (2013). Kinetic modeling of enzymatic hydrolysis of pretreated kitchen wastes for enhancing bioethanol production. Waste Management, 33, 735–739. DOI: 10.1016/j.wasman.2012.08.003
  31. Monschein, M., Reisinger, C., Nidetzky, B. (2013). Enzymatic hydrolysis of microcrystalline cellulose and pretreated wheat straw: A detailed comparison using convenient kinetic analysis. Bioresource Technology, 128, 679–687. DOI: 10.1016/j.biortech.2012.10.129
  32. Bin, Y., Hongzhang, C. (2010). Effect of the ash on enzymatic hydrolysis of steam-exploded rice straw. Bioresource Technology, 101, 9114–9119. DOI: 10.1016/j.biortech.2010.07.033
  33. Fatmawati, A., Agustriyanto, R. (2015). Kinetic study of enzymatic hydrolysis of acid-pretreated coconut coir. AIP Conference Proceedings. 1699, 030012. DOI: 10.1063/1.4938297
  34. Wang, L., Templer, R., Murphy, R. (2012). High-solids loading enzymatic hydrolysis of waste papers for biofuel production. Applied Energy, 99, 23–31. DOI: 10.1016/j.apenergy.2012.03.045

Last update:

No citation recorded.

Last update:

No citation recorded.