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Microbial communities forming biofilms and mats represent complex, spatially structured ecosystems where metabolic processes are stratified according to light, oxygen, and nutrient gradients. Biofilms are initial colonization stages, only a few millimeters thick, while mature microbial mats can reach centimeter-scale thickness and display intricate vertical organization. Their structural and functional heterogeneity allows microorganisms to occupy distinct ecological niches within a few...
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Related Experiment Video

Updated: Jul 1, 2026

Continuously-stirred Anaerobic Digester to Convert Organic Wastes into Biogas: System Setup and Basic Operation
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Modelling methane production in trickle bed reactors: A biokinetic approach.

Ahmed Taha1, Muhammad Tahir Ashraf2, Emil de Bekker Steffensen2

  • 1Department of Chemical and P. Engineering, Khalifa University. PO Box 127788, Abu Dhabi, United Arab Emirates; Center for Membranes and Advanced Water Technology (CMAT), Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, United Arab Emirates.

Bioresource Technology
|March 16, 2026
PubMed
Summary

A new model for biogas upgrading via ex-situ biomethanation in trickle-bed reactors (TBRs) shows performance is mass-transfer-limited. Scaling flow increases methane production but reduces purity, offering a design tool for optimizing this technology.

Keywords:
BiogasBiokinetic ModelBiomethanationHydrogentrophic MethanogenesisKinetics

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Area of Science:

  • Biotechnology and Bioengineering
  • Chemical Engineering
  • Environmental Science

Background:

  • Ex-situ biomethanation is a key process for upgrading biogas from anaerobic digestion.
  • Trickle-bed reactors (TBRs) are utilized for efficient gas-product generation.
  • Optimizing TBR performance requires understanding complex biokinetic and mass transfer phenomena.

Purpose of the Study:

  • To develop and validate a mechanistic biokinetic model for ex-situ biomethanation in a TBR.
  • To investigate the influence of mass transfer, kinetics, and operational parameters on reactor performance.
  • To provide a predictive tool for designing and optimizing biomethanation processes.

Main Methods:

  • Development of a mechanistic biokinetic model incorporating spatial discretization, interphase mass transfer, axial dispersion, Monod kinetics with pH inhibition, and solid retention time (SRT) constraints.
  • Experimental validation using gas-phase data at three different temperatures.
  • Calibration of transport parameters, including mass transfer coefficient (kLa) and effective axial dispersion.

Main Results:

  • The model accurately reproduced measured axial gas-phase concentration profiles and outlet flows.
  • Reactor performance was found to be mass-transfer-limited across various operating conditions.
  • Increased inlet flow enhanced methane production capacity but decreased conversion and purity, producing hydrogen/methane mixtures (hythane) when desired.

Conclusions:

  • The developed model serves as a practical design tool for TBR biomethanation.
  • Reactor performance is significantly influenced by mass transfer limitations and axial dispersion.
  • The findings guide further experimental studies for advancing TBR biomethanation technology.