IDEAS home Printed from https://ideas.repec.org/a/gam/jcltec/v7y2025i4p89-d1768691.html

Enhanced Biogas Production and Pathogen Reduction from Pig Manure Through Anaerobic Digestion: A Sustainable Approach for Urban Waste Management in Abidjan, Côte d’Ivoire

Author

Listed:
  • Alane Romaric N’guessan

    (Laboratory of Food Biotechnology and Microbiology, Faculty of Food Sciences and Technology (STA), University Nangui ABROGOUA (UNA), Abidjan 02 BP 801, Côte d’Ivoire)

  • Youan Charles Tra Bi

    (Laboratory of Biomass-Energy, Institute for Research on New Energies (IREN), University Nangui ABROGOUA (UNA), Abidjan 02 BP 801, Côte d’Ivoire)

  • Edi Guy-Alain Serges Yapo

    (Laboratory of Food Biotechnology and Microbiology, Faculty of Food Sciences and Technology (STA), University Nangui ABROGOUA (UNA), Abidjan 02 BP 801, Côte d’Ivoire)

  • Akeyt Richmond Hervé Koffi

    (Laboratory of Food Biotechnology and Microbiology, Faculty of Food Sciences and Technology (STA), University Nangui ABROGOUA (UNA), Abidjan 02 BP 801, Côte d’Ivoire)

  • Franck Orlando Yebouet

    (Laboratory of Food Biotechnology and Microbiology, Faculty of Food Sciences and Technology (STA), University Nangui ABROGOUA (UNA), Abidjan 02 BP 801, Côte d’Ivoire)

  • Alessio Campitelli

    (Department of Environmental Analytics and Pollutants, Institute IWAR, Technical University of Darmstadt, Franziska-Braun-Straße 7, 64287 Darmstadt, Germany)

  • Boko Aka

    (Laboratory of Biomass-Energy, Institute for Research on New Energies (IREN), University Nangui ABROGOUA (UNA), Abidjan 02 BP 801, Côte d’Ivoire)

  • N’Dédé Théodore Djeni

    (Laboratory of Food Biotechnology and Microbiology, Faculty of Food Sciences and Technology (STA), University Nangui ABROGOUA (UNA), Abidjan 02 BP 801, Côte d’Ivoire)

Abstract

In Abidjan, the treatment of pig waste is becoming a priority given the continued growth of pig farms, which readily reuse manure as organic fertilizer. This study evaluated the effectiveness of anaerobic digestion for simultaneous biogas production and pathogen reduction from pig farm residues. Two 1600 L biodigesters were installed at pig farms in Port Bouët (PBk) and Abobo (Ab). They were fed with pig manure and water (1:4 ratio) and monitored over 56 days. The total biogas production was 22.63 m 3 and 16.31 m 3 for the PBk and Ab digesters, respectively, with peak production occurring between days 14 and 28. Following biofilter treatment, the methane content increased to 80–82%, yielding potential energy outputs of 2.32–3.29 kWh/d, with optimal production occurring at a pH of 7.28–7.76. The COD, BOD 5 , organic acid, and total nitrogen levels decreased progressively in the biodigesters, while the mineral element content remained almost unchanged. Complete elimination was achieved for most of the bacteria tested ( E. coli , Enterococcus , Salmonella , etc.). However, Bacillus and Clostridium were able to persist, albeit with significant reductions of between 3.11 and 5.79 log 10 . Anaerobic digestion is an effective method of combining waste treatment and energy recovery. It eliminates major pathogens while producing valuable biogas. This makes it a sustainable waste management solution for urban agricultural systems.

Suggested Citation

  • Alane Romaric N’guessan & Youan Charles Tra Bi & Edi Guy-Alain Serges Yapo & Akeyt Richmond Hervé Koffi & Franck Orlando Yebouet & Alessio Campitelli & Boko Aka & N’Dédé Théodore Djeni, 2025. "Enhanced Biogas Production and Pathogen Reduction from Pig Manure Through Anaerobic Digestion: A Sustainable Approach for Urban Waste Management in Abidjan, Côte d’Ivoire," Clean Technol., MDPI, vol. 7(4), pages 1-19, October.
  • Handle: RePEc:gam:jcltec:v:7:y:2025:i:4:p:89-:d:1768691
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2571-8797/7/4/89/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2571-8797/7/4/89/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fida Hussain & Shakeel Ahmed & Syed Muhammad Zaigham Abbas Naqvi & Muhammad Awais & Yanyan Zhang & Hao Zhang & Vijaya Raghavan & Yiheng Zang & Guoqing Zhao & Jiandong Hu, 2025. "Agricultural Non-Point Source Pollution: Comprehensive Analysis of Sources and Assessment Methods," Agriculture, MDPI, vol. 15(5), pages 1-35, February.
    2. Zinat Mahal & Helmut Yabar & Takeshi Mizunoya, 2024. "Spatial Assessment of Greenhouse Gas Emissions and Eutrophication Potential from Livestock Manure in Bangladesh," Sustainability, MDPI, vol. 16(13), pages 1-18, June.
    3. Amon Abraham & Andrew G. Mtewa & Chimwemwe Chiutula & Richard Lizwe Steven Mvula & Alfred Maluwa & Fasil Ejigu Eregno & John Njalam’mano, 2025. "Prevalence of Antibiotic Resistance Bacteria in Manure, Soil, and Vegetables in Urban Blantyre, Malawi, from a Farm-to-Fork Perspective," IJERPH, MDPI, vol. 22(8), pages 1-30, August.
    Full references (including those not matched with items on IDEAS)

    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. Zinat Mahal & Helmut Yabar, 2025. "Spatial Optimization of Bioenergy Production by Introducing a Cooperative Manure Management System in Bangladesh," Resources, MDPI, vol. 14(7), pages 1-23, July.
    2. Jinrui Ren & Baoqing Hu & Jinsong Gao & Chunlian Gao & Zhanhao Dang & Shaoqiang Wen, 2025. "Spatio-Temporal Changes and Driving Mechanisms of the Ecological Quality in the Mountain–River–Sea Regional System: A Case Study of the Southwest Guangxi Karst–Beibu Gulf," Sustainability, MDPI, vol. 17(16), pages 1-21, August.
    3. Zinat Mahal & Helmut Yabar & Md Faisal Abedin Khan, 2025. "Optimization of Composting Locations for Livestock Manure in Bangladesh: Spatial Analysis-Based Potential Environmental Benefits Assessment," Clean Technol., MDPI, vol. 7(3), pages 1-25, August.
    4. Almando Morain & Ryan Nedd & Kevin Poole & Lauren Hawkins & Micala Jones & Brian Washington & Aavudai Anandhi, 2025. "Artificial Intelligence Application in Nonpoint Source Pollution Management: A Status Update," Sustainability, MDPI, vol. 17(13), pages 1-40, June.
    5. Zinat Mahal & Helmut Yabar, 2025. "A Spatial Modeling Approach for Optimizing the Locations of Large-Scale Biogas Plants from Livestock Manure in Bangladesh," Land, MDPI, vol. 14(1), pages 1-26, January.
    6. Yuxuan Luo & Xianglan Meng & Yutong Zhai & Dongqing Zhang & Kaiping Ma, 2025. "Prediction of Water Quality in Agricultural Watersheds Based on VMD-GA-LSTM Model," Mathematics, MDPI, vol. 13(12), pages 1-19, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:gam:jcltec:v:7:y:2025:i:4:p:89-:d:1768691. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.