IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i7p2933-d1368532.html
   My bibliography  Save this article

Enhancement of Anaerobic Digestion from Food Waste via Ultrafine Wet Milling Pretreatment: Simulation, Performance, and Mechanisms

Author

Listed:
  • Zongsheng Li

    (The State Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China)

  • Xiupeng Jiang

    (The State Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China)

  • Wenjie Shi

    (The State Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China)

  • Dongye Yang

    (The State Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China)

  • Youcai Zhao

    (The State Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China
    Shanghai Institute of Pollution Control and Ecological Security, 1515 North Zhongshan Rd. (No. 2), Shanghai 200092, China
    Tianfu Yongxing Laboratory, Chengdu 610213, China)

  • Tao Zhou

    (The State Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai 200092, China
    Shanghai Institute of Pollution Control and Ecological Security, 1515 North Zhongshan Rd. (No. 2), Shanghai 200092, China)

Abstract

Particle size reduction is a commonly used pretreatment technique to promote methane production from anaerobic digestion (AD) of food waste (FW). However, limited research has focused on the effect of micron-sized particles on AD of FW. This research presented an ultrafine wet milling (UFWM) pretreatment method to reduce the particle size of FW particles. After four hours of milling, D90 was reduced to 73 μm and cumulative methane production boosted from 307.98 mL/g vs. to 406.75 mL/g vs. without ammonia inhibition. We evaluated the performance of the AD systems and explored their facilitation mechanisms. Kinetic analysis showed that the modified Gompertz model predicted experimental values most accurately. UFWM pretreatment increased the maximum methane production rate by 44.4% and reduced the lag time by 0.65 days. The mechanical stress and collisions of milling resulted in a scaly surface of the particles, which greatly increased the voids and surface area. A rise in the XPS peak area of the C–N and C=O bonds proved the promotion of the liberation of carbohydrates and fats. Further microbial community analysis revealed that the relative abundance of Bacteroidota and Methanosarcina were enriched by UFWM. Meanwhile, methane metabolism pathway analysis confirmed that module M00567, module M00357, and related enzymes were stimulated. This study provided a theoretical basis for UFWM pretreatment applications and improvements in AD of FW.

Suggested Citation

  • Zongsheng Li & Xiupeng Jiang & Wenjie Shi & Dongye Yang & Youcai Zhao & Tao Zhou, 2024. "Enhancement of Anaerobic Digestion from Food Waste via Ultrafine Wet Milling Pretreatment: Simulation, Performance, and Mechanisms," Sustainability, MDPI, vol. 16(7), pages 1-19, April.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:2933-:d:1368532
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/7/2933/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/7/2933/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Zhiping & Tahir, Nadeem & Li, Yameng & Zhang, Tian & Zhu, Shengnan & Zhang, Quanguo, 2019. "Tailoring of structural and optical parameters of corncobs through ball milling pretreatment," Renewable Energy, Elsevier, vol. 141(C), pages 298-304.
    2. Liu, Quan & Zhang, Guanyu & Kong, Ge & Liu, Mingyang & Cao, Tianqi & Guo, Zhirui & Zhang, Xuesong & Han, Lujia, 2023. "Valorizing manure waste into green coal-like hydrochar: Parameters study, physicochemical characteristics, combustion behaviors and kinetics," Renewable Energy, Elsevier, vol. 216(C).
    3. Lina Luo & Youpei Qu & Weijia Gong & Liyuan Qin & Wenzhe Li & Yong Sun, 2021. "Effect of Particle Size on the Aerobic and Anaerobic Digestion Characteristics of Whole Rice Straw," Energies, MDPI, vol. 14(13), pages 1-15, July.
    4. Hidalgo, D. & Castro, J. & Díez, D. & Martín-Marroquín, J.M. & Gómez, M. & Pérez, E., 2023. "Torrefaction at low temperature as a promising pretreatment of lignocellulosic biomass in anaerobic digestion," Energy, Elsevier, vol. 263(PC).
    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. Maurizio Bressan & Elena Campagnoli & Carlo Giovanni Ferro & Valter Giaretto, 2023. "A Mass Balance-Based Method for the Anaerobic Digestion of Rice Straw," Energies, MDPI, vol. 16(11), pages 1-19, May.
    2. Oumaima Chaib & Nicolas Abatzoglou & Inès Esma Achouri, 2024. "Lignocellulosic Biomass Valorisation by Coupling Steam Explosion Treatment and Anaerobic Digestion," Energies, MDPI, vol. 17(3), pages 1-12, January.
    3. Liu, Changyu & Sun, Yongxiang & Bian, Ji & Hu, Wanyu & Zhang, Chengjun & Wu, Yangyang & Li, Pengfei & Li, Dong, 2023. "Mechanism of solar photo-thermal transformation for baffled liquid on energy and mass transfer efficiency in direct absorption anaerobic reactor," Energy, Elsevier, vol. 278(PA).
    4. Ma, Junfang & Liu, Jiaxun & Jiang, Xiumin & Zhang, Hai, 2021. "A two-dimensional distributed activation energy model for pyrolysis of solid fuels," Energy, Elsevier, vol. 230(C).
    5. Haorui Zhang & Jiaolin Li & Quanguo Zhang & Shengnan Zhu & Shuai Yang & Zhiping Zhang, 2020. "Effect of Substrate Concentration on Photo-Fermentation Bio-Hydrogen Production Process from Starch-Rich Agricultural Leftovers under Oscillation," Sustainability, MDPI, vol. 12(7), pages 1-8, March.
    6. Alexey Abdrashitov & Alexander Gavrilov & Evgeny Marfin & Vladimir Panchenko & Andrey Kovalev & Vadim Bolshev & Julia Karaeva, 2023. "Cavitation Reactor for Pretreatment of Liquid Agricultural Waste," Agriculture, MDPI, vol. 13(6), pages 1-15, June.
    7. Chen, Zhengyu & Wang, Huan & Wei, Weiqi & Yuan, Zhaoyang, 2021. "Enhancing bagasse enzymatic hydrolysis through combination of ball-milling and LiCl/DMSO dissolution and regeneration," Renewable Energy, Elsevier, vol. 171(C), pages 994-1001.

    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:jsusta:v:16:y:2024:i:7:p:2933-:d:1368532. 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.