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Peer-reviewedCC BYEngineering in Life Sciences

Quantitative analysis of moss gametophytes by magnetic resonance imaging: supervision of moss production in photobioreactors

  • Lena Trapp1
  • Maria Glaubitz2
  • Gisela Guthausen1
  • Claudia Grewe2
  • Clemens Posten3
  1. 1Institute of Mechanical Process Engineering and Mechanics, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany
  2. 2Applied Biosciences and Process Engineering, Anhalt University of Applied Sciences, 06366 Köthen, Germany
  3. 3Process Engineering in Life Sciences, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany
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Abstract

Recultivation of rewetted peat bogs requires large amounts of peat moss seeding material. Large-scale production can be carried out under submerged conditions in photobioreactors. Under these conditions, Sphagnum palustre L. does not grow into adult plants but remains in the gametophyte stage. This stage is characterized by filamentous growth, the formation of small leaves, and so-called innovations, which are small capitula. As a result of agitation, the gametophytes form macroscopic, clew-like structures. These can be subjected to disruption without further damage to the small plant structures. Nevertheless, the overall growth rate depends, to some extent, on the clew size and on the formation of leaves or innovations. For further control and optimization of the process, continuous observation of the current morphology is therefore required. Another aspect is that settling and initial growth in the bog after seeding depend on the state of the moss gametophytes. Sampling and microscopic examination would be extremely laborious. Furthermore, the application scenario envisages running the production reactors at remote sites with only limited expert supervision. In this paper, we present the possibility of using nuclear magnetic resonance imaging for automated process analysis with respect to moss morphology. It is shown that all important morphological details can be visualized and quantitatively evaluated.

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Cite

BibTeXRIS
BibTeX
@article{trapp2026quantitative,
  title = {{Quantitative analysis of moss gametophytes by magnetic resonance imaging: supervision of moss production in photobioreactors}},
  author = {Lena Trapp and Maria Glaubitz and Gisela Guthausen and Claudia Grewe and Clemens Posten},
  journal = {Engineering in Life Sciences},
  year = {2026},
  month = sep,
  doi = {10.48130/els-0026-0013},
  url = {https://doi.org/10.48130/els-0026-0013},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Quantitative analysis of moss gametophytes by magnetic resonance imaging: supervision of moss production in photobioreactors
AU  - Lena Trapp
AU  - Maria Glaubitz
AU  - Gisela Guthausen
AU  - Claudia Grewe
AU  - Clemens Posten
PY  - 2026
DA  - 2026/09/01
JO  - Engineering in Life Sciences
DO  - 10.48130/els-0026-0013
UR  - https://doi.org/10.48130/els-0026-0013
AB  - Recultivation of rewetted peat bogs requires large amounts of peat moss seeding material. Large-scale production can be carried out under submerged conditions in photobioreactors. Under these conditions, Sphagnum palustre L. does not grow into adult plants but remains in the gametophyte stage. This stage is characterized by filamentous growth, the formation of small leaves, and so-called innovations, which are small capitula. As a result of agitation, the gametophytes form macroscopic, clew-like structures. These can be subjected to disruption without further damage to the small plant structures. Nevertheless, the overall growth rate depends, to some extent, on the clew size and on the formation of leaves or innovations. For further control and optimization of the process, continuous observation of the current morphology is therefore required. Another aspect is that settling and initial growth in the bog after seeding depend on the state of the moss gametophytes. Sampling and microscopic examination would be extremely laborious. Furthermore, the application scenario envisages running the production reactors at remote sites with only limited expert supervision. In this paper, we present the possibility of using nuclear magnetic resonance imaging for automated process analysis with respect to moss morphology. It is shown that all important morphological details can be visualized and quantitatively evaluated.
SN  - 1618-2863
SN  - 1618-0240
ER  -