Abstract：
:Microalgal starch and lipids, carbon-based storage molecules, are useful as potential biofuel feedstocks. In this work, cultivation strategies maximising starch and lipid formation were established by developing a multi-parameter kinetic model describing microalgal growth as well as starch and lipid formation, in conjunction with laboratory-scale experiments. Growth dynamics are driven by nitrogen-limited mixotrophic conditions, known to increase cellular starch and lipid contents whilst enhancing biomass growth. Model parameters were computed by fitting model outputs to a range of experimental datasets from batch cultures of Chlamydomonas reinhardtii. Predictive capabilities of the model were established against different experimental data. The model was subsequently used to compute optimal nutrient-based cultivation strategies in terms of initial nitrogen and carbon concentrations. Model-based optimal strategies yielded a significant increase of 261% for starch (0.065gCL-1) and 66% for lipid (0.08gCL-1) production compared to base-case conditions (0.018gCL-1 starch, 0.048gCL-1 lipids).
journal_name
Bioresour Technoljournal_title
Bioresource technologyauthors
Figueroa-Torres GM,Pittman JK,Theodoropoulos Cdoi
10.1016/j.biortech.2017.05.177subject
Has Abstractpub_date
2017-10-01 00:00:00pages
868-878eissn
0960-8524issn
1873-2976pii
S0960-8524(17)30845-3journal_volume
241pub_type
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