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Related Experiment Video

Updated: Jul 4, 2026

Light-Controlled Fermentations for Microbial Chemical and Protein Production

Light-Controlled Fermentations for Microbial Chemical and Protein Production

Published on: March 22, 2022

A new function for overall optimization of yeast production.

M M Klibansky¹, M A Otero, L F González

¹Cuban Research Institute of Sugarcane By-Products, P.O. Box 4026, Havana, Cuba.

Biotechnology and Bioengineering

|November 1, 1983

Summary

This study optimized Candida utilis cultivation by analyzing operating variables like dilution rate and temperature. A new criterion, alpha = PdY, improves selection of optimal conditions for biomass yield and nutritional quality.

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Genetic Engineering of an Unconventional Yeast for Renewable Biofuel and Biochemical Production

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Published on: September 20, 2016

Area of Science:

Biotechnology
Microbial Physiology
Bioprocess Engineering

Background:

Candida utilis is a yeast with significant biotechnological applications.
Optimizing its growth conditions is crucial for maximizing both productivity and nutritional value.
Carbon-limited conditions present specific challenges for yeast cultivation.

Purpose of the Study:

To investigate the impact of key operating variables on Candida utilis productivity and nutritional quality.
To develop predictive correlations for biomass yield, digestibility, nucleic acid, and protein content.
To propose a novel, multi-objective criterion for optimizing yeast cultivation.

Main Methods:

Cultivation of Candida utilis under controlled carbon-limited conditions.
Systematic variation of dilution rate, temperature, and carbon-nitrogen ratio.
Analysis of biomass yield (Y), in vitro dry matter digestibility (d), nucleic acid, and protein content (P).
Development of response surface correlations and introduction of the alpha = PdY function.

Main Results:

Established correlations between operating variables and key response parameters.
Visualized relationships using response surface plots.
Demonstrated that the proposed alpha = PdY function is a superior criterion for multi-objective optimization compared to yield coefficient alone.

Conclusions:

Operating variables significantly influence Candida utilis productivity and nutritional quality.
The alpha = PdY function provides a more holistic approach to optimizing yeast cultivation for both yield and nutritional value.
This optimized approach is vital for applications requiring high-quality microbial biomass.