LAPSE:2023.1170
Published Article
LAPSE:2023.1170
Optimization of the Cultivation Conditions of the Green Algae Dunaliella salina by Using Simplex Method
Najah Al-Mhanna, Michael Pistorius, Lanah Al Sammarraie
February 21, 2023
Abstract
The green algae Dunaliella salina offers great potential for the food industry due to its high β-carotene content. To guarantee the economic profitability of cultivation, growth conditions must be improved. Therefore, the effects of pH and salinity on the cultivation of the green alga D. salina were investigated and optimized. The simplex method was applied to find the optimum of these two parameters to maximize the biomass and the cell number of D. salina. The optimum pH was found at 7 and 8 at a salt content of 50 g/L, with a biomass content of 1.09 and 1.11 g/L, respectively. The highest biomass was found at a salinity of 50 g/L, with a final biomass of 1.11 g/L. However, by using the simplex method, an optimum product yield was found at a salinity of 64 g/L and an initial pH value of 7.2. Thus, a biomass of 1.23 mg/mL was achieved. In the single observation of both parameters, 14 experiments were conducted to obtain a satisfactory result, whereas eight runs only were required with the simplex method. This leads to the conclusion that using the simplex method is a useful way to drastically reduce the number of required experiments.
Keywords
algae, Dunaliella salina, pH value, salinity, simplex method
Suggested Citation
Al-Mhanna N, Pistorius M, Al Sammarraie L. Optimization of the Cultivation Conditions of the Green Algae Dunaliella salina by Using Simplex Method. (2023). LAPSE:2023.1170
Author Affiliations
Al-Mhanna N: Engineering Department, Faculty of Engineering and Computer Science, German University of Technology in Oman, P.O. Box 1816, Muscat PC 130, Oman [ORCID]
Pistorius M: Department of Biochemical Engineering, Faculty of Mechanical Engineering, RWTH Aachen University, Templergraben 55, 52064 Aachen, Germany
Al Sammarraie L: Engineering Department, Faculty of Engineering and Computer Science, German University of Technology in Oman, P.O. Box 1816, Muscat PC 130, Oman
Journal Name
Processes
Volume
11
Issue
1
First Page
292
Year
2023
Publication Date
2023-01-16
ISSN
2227-9717
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Original Submission
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PII: pr11010292, Publication Type: Journal Article
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LAPSE:2023.1170
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https://doi.org/10.3390/pr11010292
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