Oxygen Consumption in Filamentous Pellets of Aspergillus niger: Microelectrode Measurements and Modeling

Charlotte Deffur, Anna Dinius, Julian Pagel, Henri Müller, Stefan Schmideder, Heiko Briesen, Rainer Krull

Research output: Contribution to journalArticlepeer-review

Abstract

Filamentous fungi cultivated as biopellets are well established in biotechnology industries. A distinctive feature of filamentous fungi is that hyphal growth and fungal morphology affect product titers and require tailored process conditions. Within the pellet, mass transfer, substrate consumption, and biomass formation are intricately linked to the local hyphal fraction and pellet size. This study combined oxygen concentration measurements with microelectrode profiling and three-dimensional X-ray microtomography measurements of the same fungal pellets for the first time. This allowed for the precise correlation of micromorphological information with local oxygen concentrations of two Aspergillus niger strains (hyperbranching and regular branching). The generated results showed that the identified oxygen-penetrated outer pellet regions exhibited a depth of 90–290 µm, strain-specific, with the active part percentage in the pellet ranging from 18% to 69%, without any difference between strains. Using a 1D continuum diffusion consumption model, the oxygen concentration in the pellets was computed depending on the local hyphal fraction. The best simulation results were achieved by individually estimating the oxygen-related biomass yield coefficient of the consumption term within each examined pellet, with an average estimated value of 1.95 (± 0.72) kg biomass per kg oxygen. The study lays the foundation for understanding oxygen supply in fungal pellets and optimizing processes and pellet morphologies accordingly.

Original languageEnglish
Pages (from-to)306-321
Number of pages16
JournalBiotechnology and Bioengineering
Volume122
Issue number2
DOIs
StatePublished - Feb 2025

Keywords

  • 3D image analysis
  • X-ray microcomputed tomography
  • active part percentage
  • microelectrode technique
  • morphology
  • oxygen consumption
  • parameter estimation

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