Submicron infrared spectroscopy assessment of single-cell phenotypic diversity in microbial lipid production
The O-PTIR method allows estimation of chemical composition of individual yeast cells and differentiation of two types of lipids (TAGs and FFAs). We have demonstrated that measurement at only four wavenumbers (the aforementioned wavenumbers for TAGs, FFAs and proteins plus one reference wavenumber at 1800 cm<sup>- 1</sup>) provides the assessment of major chemical constituents of high importance for optimization of SCO production. We foresee that rapid data acquisition through O-PTIR imaging will significantly aid in understanding and managing phenotypic diversity in microbial cells by providing a detailed representation of individual cells for population statistics.
Authors
- Dana Byrtusová (ORCID: https://orcid.org/0000-0002-1238-0130)
- Uladzislau Blazhko (ORCID: https://orcid.org/0000-0002-3249-950X)
- Christophe Sandt (ORCID: https://orcid.org/0000-0002-6432-2004)
- Achim Köhler (ORCID: https://orcid.org/0000-0001-5759-1989)
- Boris Zimmermann (ORCID: https://orcid.org/0000-0001-5046-520X)
- Volha Shapaval
Institutions
- Synchrotron soleil (FR)
- Norwegian University of Life Sciences (NO)
Publication Details
- Journal
- Microbial Cell Factories
- Published
- 2025-07-21
- DOI
- https://doi.org/10.1186/s12934-025-02794-x
- Citations
- 5
- Primary Topic
- Microbial Metabolic Engineering and Bioproduction
- Type
- article
- Field-Weighted Citation Impact
- 4.03
Funders
- NordForsk
- Norges Forskningsråd