Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1016/j.dib.2025.112157
Lizenz creative commons licence
Titel (primär) Experimental dataset on the characterization of a new photo-calorespirometry setup
Autor Linke, T.; Paufler, S.; Dusny, C.; Maskow, T. ORCID logo ; Schmid, A.
Quelle Data in Brief
Erscheinungsjahr 2025
Department SOMA; MIBITECH
Band/Volume 63
Seite von art. 112157
Sprache englisch
Topic T7 Bioeconomy
Daten-/Softwarelinks https://doi.org/10.17632/56s83cx3mp.1
Keywords Photo-Calorimetry; light adjustment/quantification; cyanobacterial phenotypes; dead cell preparation; pigment analysis; morphological characterization; thermal profiling
Abstract This dataset complements the main article “Direct Real-Time Determination of Photosynthetic Efficiency by Photo-Calorespirometry Using Synechocystis sp. PCC 6803 as Model Cyanobacterium” by providing detailed experimental data, calibration procedures, and validation measurements for the photo-calorespirometry (Photo-CR) method. The data ensure precise quantification of light energy input (PI), thermal signals, and photosynthetic performance, and validate control systems essential for accurate heat-based assessment of photosynthesis in phototrophic microorganisms.
Light delivery was optimized and in a dual-ampoule calorimetric setup trough calibrated LED–light guide assemblies. including distance-dependent attenuation profiles, peak (PI) determinations (20 mW), and corrections for thermal asymmetry. A photosynthetically inactive reference system was established by formaldehyde fixation of Synechocystis cells, preserving morphology and pigment content. Physiological and optical validations included Coulter counter cell-size analysis, pigment quantification, and absorption spectroscopy to confirm spectral similarity between fixed and living cells.
Control datasets include thermal profiles of living versus dead cells, medium-only baselines, and light-independent heat generation. Additional measurements capture temporal variations in photosynthetic performance during multi-step light ramp experiments, normalized to biomass via Monod-based growth modeling. Furthermore, a correlation dataset from 18 independent samples links cell number, optical density (OD₇₅₀), and cell dry weight, enabling conversion between these measures.
Collectively, these datasets provide a comprehensive reference for calibrating and validating Photo-CR experiments, supporting reproducible measurement of photosynthetic energy conversion in cyanobacteria. They are intended for reuse in methodological replication, adaptation to other phototrophic microorganisms, optimization of light-dependent calorimetric studies, and the development of standardized reference controls for heat-based photosynthetic efficiency assessment.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=31420
Linke, T., Paufler, S., Dusny, C., Maskow, T., Schmid, A. (2025):
Experimental dataset on the characterization of a new photo-calorespirometry setup
Data Brief 63 , art. 112157 10.1016/j.dib.2025.112157