Document Type
Article
Language
eng
Format of Original
6 p.
Publication Date
2-2011
Publisher
Elsevier
Source Publication
Bioresource Technology
Source ISSN
0960-8524
Abstract
To reduce the cost of algal biomass production, mathematical model was developed for the first time to describe microalgae growth, lipid production and glycerin consumption under photoheterotrophic conditions based on logistic, Luedeking–Piret and Luedeking–Piret-like equations. All experiments were conducted in a 2 L batch reactor without considering CO2 effect on algae’s growth and lipid production. Biomass and lipid production increased with glycerin as carbon source and were well described by the logistic and Luedeking–Piret equations respectively. Model predictions were in satisfactory agreement with measured data and the mode of lipid production was growth-associated. Sensitivity analysis was applied to examine the effects of certain important parameters on model performance. Results showed that S0, the initial concentration of glycerin, was the most significant factor for algae growth and lipid production. This model is applicable for prediction of other single cell algal species but model testing is recommended before scaling up the fermentation of process.
Recommended Citation
Yang, Jinshui; Rasa, Ehsan; Tantayotai, Prapakorn; Scow, Kate M.; Yuan, Hong Li; and Hristova, Krassimira R., "Mathematical Model of Chlorella minutissima UTEX2341 Growth and Lipid Production Under Photoheterotrophic Fermentation Conditions" (2011). Biological Sciences Faculty Research and Publications. 284.
https://epublications.marquette.edu/bio_fac/284
Comments
Accepted version. Bioresource Technology, Vol. 102, No. 3 (February 2011): 3077-3082. DOI. © 2011 Elsevier. Used with permission.
NOTICE: this is the author’s version of a work that was accepted for publication in Bioresource Technology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Bioresource Technology, VOL 102, ISSUE 3, February 2011, DOI.