Stress-Tolerant Yeast Strain Growth Models for Bioethanol Fermentation

Thirteen native Saccharomyces cerevisiae strains from industrial fermentations in Tucumán, Argentina, were evaluated against a commercial reference strain. Predictive models with R² > 0.9 describe growth responses to temperature, pH, sucrose, and ethanol stress. The dataset was authored by María Alejandra Canseco Grellet and last updated on March 18, 2026.

Use Cases

• Selecting high-performance yeast strains based on modeled growth responses to temperature, pH, sucrose, and ethanol.
• Validating predictive microbiology models for industrial bioethanol fermentation processes.
• Identifying candidate strains for cell recycling and high-density fermentation based on described stress tolerance ranges.

Strengths

• Predictive models achieved excellent fits with R² > 0.9 for all evaluated strains.
• Compares thirteen native isolates with a commercial reference strain (Calsa).
• Focuses on four key industrial stress factors: temperature, pH, sucrose, and ethanol.

Limitations

• Dataset is a 255.6 KB DOCX file; the underlying data tables are not directly accessible.
• Row count and column-level documentation are unknown, limiting suitability assessment.
• Data may reflect geographic bias inherent to strains isolated from Tucumán, Argentina.

Provenance

Source

María Alejandra Canseco Grellet via figshare

Collection Method

Predictive microbiology models applied to evaluate yeast strains isolated from industrial fermentations.

Freshness

Last updated 2026-03-18 06:42:03

Geography

Tucumán, Argentina