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Biomass-specific rates as key performance indicators: A nitrogen balancing method for biofilm-based electrochemical
Marijn Winkelhorst1, Oriol Cabau-Peinado1, Adrie J J Straathof1
1Department of Biotechnology, Faculty of Applied Sciences, Delft University of Technology, Delft, Netherlands.
Frontiers in Bioengineering and Biotechnology
|February 6, 2023
Summary
A new method accurately measures microbial biomass in microbial electrosynthesis (MES) reactors. This biomass-specific rate assessment improves understanding and comparison of MES performance.
Area of Science:
- Microbial electrochemistry
- Biotechnology
- Environmental engineering
Background:
- Microbial electrochemical technologies (METs) utilize microorganisms and electrodes for reactions like microbial electrosynthesis (MES).
- Traditional rate normalization in METs (electrode dimensions, electrolyte volume) overlooks biomass quantity.
- Accurate biomass quantification is crucial for understanding biofilm-based METs, especially in continuous, 3D electrode systems.
Purpose of the Study:
- To develop a non-destructive method for determining microbial biomass in biofilm-based METs.
- To enable biomass-specific rate calculations for improved performance assessment.
- To compare the performance of MES reactors using biomass-specific rates.
Main Methods:
- Developed a simple method combining nitrogen balance and optical density for biomass determination.
- Applied the method to four MES reactors converting CO2 to carboxylates.
- Monitored biomass distribution (biofilm vs. suspension) over 100 days.
Main Results:
- >99% of biomass formed a biofilm within 69 days in the MES reactors.
- Biomass-specific growth rates ranged from 0.12-0.16 days⁻¹, with growth becoming insignificant after 100 days.
- Biomass-specific carboxylate production rates varied from 0.08-0.37 molC molX⁻¹d⁻¹.
Conclusions:
- The developed method provides accurate, non-destructive biomass quantification in biofilm-based METs.
- Biomass-specific rates offer a more effective way to evaluate MES performance, identify limitations, and compare with other technologies.
- This approach enhances the assessment and optimization of microbial electrosynthesis systems.

