Rwanda Teachers College (RTC) Courses Offered
3 Departments
E
Education
M
Mathematics and Science
Dynamic modeling and optimization of cyanobacterial C-phycocyanin production process by artificial neural network.
Artificial neural networks have been widely applied in bioprocess simulation and control due to their advantageous properties. However, their feasibility in long-term photo-production process modeling and prediction as well as their efficiency on process optimization have not been well studied so far.
Dynamic Simulation and Optimization for Arthrospira platensis Growth and C-phycocyanin Production.
C-Phycocyanin is a high-value bioproduct synthesized from cyanobacterium Arthrospira platensis. To facilitate its application, advanced dynamic models were built to simulate the complex effects of light intensity, light attenuation, and nitrate concentration on cell growth and pigment production.
Dynamic modeling and optimization of cyanobacterial C-phycocyanin production process by artificial neural network.
Artificial neural networks have been widely applied in bioprocess simulation and control due to their advantageous properties. However, their feasibility in long-term photo-production process modeling and prediction as well as their efficiency on process optimization have not been well studied so far.
In the current study, an artificial neural network was constructed to simulate a 15-day fed-batch process for cyanobacterial C-phycocyanin production , which to the best of our knowledge has never been conducted. To guarantee the accuracy of artificial neural network, two strategies were implemented.
Harvesting of freshwater microalgae with microbial bioflocculant: a pilot-scale study
Phycobiliprotein: potential microalgae derived pharmaceutical and biological reagent
Ammonium chloride: a novel effective and inexpensive salt solution for phycocyanin extraction from Arthrospira (Spirulina) platensis
S
Social Science
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