IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v191y2022icp394-404.html
   My bibliography  Save this article

Biological production and recovery of 2,3-butanediol using arabinose from sugar beet pulp by Enterobacter ludwigii

Author

Listed:
  • Narisetty, Vivek
  • Narisetty, Sudheera
  • Jacob, Samuel
  • Kumar, Deepak
  • Leeke, Gary A.
  • Chandel, Anuj Kumar
  • Singh, Vijai
  • Srivastava, Vimal Chandra
  • Kumar, Vinod

Abstract

Sugar beet pulp (SBP) is a major byproduct from the sugar industries and consists of >20% w/w arabinose. The current work evaluated the potential of Enterobacter ludwigii assimilating pure arabinose and arabinose rich hydrolysate from SBP pellets for 2,3-butanediol (BDO) production. The hydrolysate was obtained through dilute acid pretreatment (DAP) with sulphuric acid. The process was optimized for acid and solid loading to obtain a hydrolysate free from furan derivatives. The effect of different levels of substrate (10–60 g/L) using pure arabinose was conducted in shake flask experiments, followed by co-fermentation with small amounts of glucose and SBP hydrolysate. After flask cultivations, BDO fermentations were carried-out in a bench-top bioreactor in batch and fed-batch modes using pure arabinose as well as SBP hydrolysate. The fed-batch culture led to BDO production of 42.9 and 35.5 g/L from pure arabinose and SBP hydrolysate with conversion yields of 0.31 and 0.29 g/g, respectively. Finally, BDO accumulated on pure arabinose and SBP hydrolysate were recovered using an aqueous two-phase extraction system. The recovery yield of BDO accumulated on arabinose and hydrolysate was ∼97%. The work demonstrated the feasibility of using SBP as a suitable feedstock for manufacturing BDO.

Suggested Citation

  • Narisetty, Vivek & Narisetty, Sudheera & Jacob, Samuel & Kumar, Deepak & Leeke, Gary A. & Chandel, Anuj Kumar & Singh, Vijai & Srivastava, Vimal Chandra & Kumar, Vinod, 2022. "Biological production and recovery of 2,3-butanediol using arabinose from sugar beet pulp by Enterobacter ludwigii," Renewable Energy, Elsevier, vol. 191(C), pages 394-404.
    • Handle: RePEc:eee:renene:v:191:y:2022:i:c:p:394-404
    DOI: 10.1016/j.renene.2022.04.024
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148122004864
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2022.04.024?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Grahovac, Jovana & Jokić, Aleksandar & Dodić, Jelena & Vučurović, Damjan & Dodić, Siniša, 2016. "Modelling and prediction of bioethanol production from intermediates and byproduct of sugar beet processing using neural networks," Renewable Energy, Elsevier, vol. 85(C), pages 953-958.
    2. Hazeena, Sulfath Hakkim & Pandey, Ashok & Binod, Parameswaran, 2016. "Evaluation of oil palm front hydrolysate as a novel substrate for 2,3-butanediol production using a novel isolate Enterobacter cloacae SG1," Renewable Energy, Elsevier, vol. 98(C), pages 216-220.
    3. Vivek, Narisetty & Christopher, Meera & Kumar, M. Kiran & Castro, Eulogio & Binod, Parameswaran & Pandey, Ashok, 2018. "Pentose rich acid pretreated liquor as co-substrate for 1,3-propanediol production," Renewable Energy, Elsevier, vol. 129(PB), pages 794-799.
    4. Borowski, Sebastian & Kucner, Marcin & Czyżowska, Agata & Berłowska, Joanna, 2016. "Co-digestion of poultry manure and residues from enzymatic saccharification and dewatering of sugar beet pulp," Renewable Energy, Elsevier, vol. 99(C), pages 492-500.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marisutti, Estela & Viegas, Bruno Marques & Rodrigues, Naira Poerner & Ayub, Marco Antônio Záchia & Rossi, Daniele Misturini, 2024. "Characterization and treatments in soybean hull for 2,3-Butanediol production using Klebsiella pneumoniae BLh-1 and Pantoea agglomerans BL1," Renewable Energy, Elsevier, vol. 224(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cieciura-Włoch, Weronika & Borowski, Sebastian & Otlewska, Anna, 2020. "Biohydrogen production from fruit and vegetable waste, sugar beet pulp and corn silage via dark fermentation," Renewable Energy, Elsevier, vol. 153(C), pages 1226-1237.
    2. Gniewko Niedbała, 2019. "Application of Artificial Neural Networks for Multi-Criteria Yield Prediction of Winter Rapeseed," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    3. Joanna Berlowska & Katarzyna Pielech-Przybylska & Maria Balcerek & Weronika Cieciura & Sebastian Borowski & Dorota Kregiel, 2017. "Integrated Bioethanol Fermentation/Anaerobic Digestion for Valorization of Sugar Beet Pulp," Energies, MDPI, vol. 10(9), pages 1-16, August.
    4. Naveed, Muhammad Hamza & Khan, Muhammad Nouman Aslam & Mukarram, Muhammad & Naqvi, Salman Raza & Abdullah, Abdullah & Haq, Zeeshan Ul & Ullah, Hafeez & Mohamadi, Hamad Al, 2024. "Cellulosic biomass fermentation for biofuel production: Review of artificial intelligence approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    5. Fuchs, Werner & Wang, Xuemei & Gabauer, Wolfgang & Ortner, Markus & Li, Zifu, 2018. "Tackling ammonia inhibition for efficient biogas production from chicken manure: Status and technical trends in Europe and China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 186-199.
    6. Przemysław Liczbiński & Sebastian Borowski, 2021. "Co-Digestion of Kitchen Waste with Grass and Leaves after Hyperthermophilic Pretreatment for Methane and Hydrogen Production," Energies, MDPI, vol. 14(18), pages 1-9, September.
    7. Pomeroy, Brett & Grilc, Miha & Likozar, Blaž, 2022. "Artificial neural networks for bio-based chemical production or biorefining: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    8. Jafar Tavoosi & Amir Abolfazl Suratgar & Mohammad Bagher Menhaj & Amir Mosavi & Ardashir Mohammadzadeh & Ehsan Ranjbar, 2021. "Modeling Renewable Energy Systems by a Self-Evolving Nonlinear Consequent Part Recurrent Type-2 Fuzzy System for Power Prediction," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    9. Tańczuk, M. & Junga, R. & Werle, S. & Chabiński, M. & Ziółkowski, Ł., 2019. "Experimental analysis of the fixed bed gasification process of the mixtures of the chicken manure with biomass," Renewable Energy, Elsevier, vol. 136(C), pages 1055-1063.
    10. Małgorzata Smuga-Kogut & Tomasz Kogut & Roksana Markiewicz & Adam Słowik, 2021. "Use of Machine Learning Methods for Predicting Amount of Bioethanol Obtained from Lignocellulosic Biomass with the Use of Ionic Liquids for Pretreatment," Energies, MDPI, vol. 14(1), pages 1-16, January.
    11. Ahmad, Farah B. & Zhang, Zhanying & Doherty, William O.S. & O'Hara, Ian M., 2019. "The outlook of the production of advanced fuels and chemicals from integrated oil palm biomass biorefinery," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 386-411.
    12. Laura, Mitrea & Monica, Trif & Dan-Cristian, Vodnar, 2020. "The effect of crude glycerol impurities on 1,3-propanediol biosynthesis by Klebsiella pneumoniae DSMZ 2026," Renewable Energy, Elsevier, vol. 153(C), pages 1418-1427.
    13. Niaze, Ambereen A. & Sahu, Rohit & Sunkara, Mahendra K. & Upadhyayula, Sreedevi, 2023. "Model construction and optimization for raising the concentration of industrial bioethanol production by using a data-driven ANN model," Renewable Energy, Elsevier, vol. 216(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:191:y:2022:i:c:p:394-404. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.