A comprehensive dataset of biomass and critical variables for Verrucodesmus verrucosus culture in bubble column photobioreactors

Published: 7 July 2025| Version 3 | DOI: 10.17632/c7f34t83pd.3
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Description

The dataset provides the detailed quantification of biomass of Verrucodesmus verrucosus grown in a bubble column photobioreactor under controlled operation conditions for growth. The information presented contains direct biomass measurements and physicochemical parameter data readings obtained with calibrated sensors that allow kinetic analysis for growth and computational modeling. 1,080 records are added that demonstrate the interactions between critical variables such as temperature (°C), irradiance, dissolved oxygen (DO), nitrate concentration (NO3), oxygen gas (O2 Gas), and carbon dioxide gas (CO2 Gas), and electrical conductivity, which are essential to perform biomass growth modeling.

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Steps to reproduce

The inoculum of the microalgae Verrucodesmus verrucosus was prepared in Blue Green 11 (BG-11) medium in 1 l graduated vials with a volume of 225 ml, an initial cell density of 1x106 cells/ml. Samples were exposed to 2000 lx with a 12:12 light-dark photoperiod incubated for 12 days to promote growth. The microalgae were cultured in a bubble column photobioreactor with continuous aeration, with a volume of 2.25 l. The photobioreactor was illuminated with LED lights in a spectral range of 450 - 700 nm. The light intensity was maintained at 2000 lux with a photoperiod of 12:12 (light-dark). The microalgae were grown in BG-11 medium, which is commonly used to grow these species. The pH was established in a range of 7-9. The dry weight method was used to obtain the biomass measurements. 3 ml of culture were extracted to analyze the samples for each measurement; filtration was implemented on 0.45 μm cellulose acetate membranes and dried at 75 °C for 24 hours. The dry biomass was weighed using a ± 0.0001 g precision analytical balance. Critical variables were monitored in culture samples with calibrated sensors, such as irradiance, temperature, pH, nitrate concentration (NO₃), dissolved oxygen (DO), gaseous oxygen (O₂), carbon dioxide gas (CO₂), and conductivity. The variables were chosen according to the influence of each one on the growth and metabolic activity of the microalgae.

Institutions

Instituto Tecnologico de Tuxtla Gutierrez

Categories

Machine Learning, Biomass, Microalgae

Funding

Secretaría de Ciencia, Humanidades, Tecnología e Innovación

CVU 1035725

Licence