Modeling and Simulation of Single Cell Protein Production

Olsen, Dres Foged; Jørgensen, John Bagterp; Jørgensen, Sten Bay

doi:10.3182/20100707-3-be-2012.0099

Cited by 11 publications

(10 citation statements)

References 7 publications

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“…The SCP producing U-loop reactor has been modeled to facilitate design of pH and temperature controllers along with synthesis of an optimal start-up procedure (Prado Rubio, 2007;Prado Rubio et al, 2009). A model intended for receding horizon optimizing control of SCP production in the U-loop reactor has also been developed (Olsen, 2009;Olsen et al, 2009). Bailey and Ollis (1986) as well as Nielsen et al (2003) provide general introductions to fermentation technology.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Operating Points for SCP Production in the U-Loop Reactor

Olsen

Jørgensen

2010

IFAC Proceedings Volumes

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Section: Introductionmentioning

confidence: 99%

“…In this paper we use the model developed by Olsen et al (2009) to determine optimal static operation points for SCP production in the U-loop reactor. The model consisting of stoichiometry, kinetics, and conservation equations is summarized in Sections 2 and 3.…”

Section: Introductionmentioning

confidence: 99%

Optimal Operating Points for SCP Production in the U-Loop Reactor

Olsen

Jørgensen

2010

IFAC Proceedings Volumes

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“…However, the operation of such a reactor and in particular the startup is non-trivial. Using a mathematical model that describes the dynamics of SCP production in a U-loop reactor [14]- [18], we use the EKF to estimate the state of the reactor during startup based on the economic optimizing control strategy described by Drejer et al [19]. The information provided by this state estimation is central to economic nonlinear model predictive control [20] for economically optimal operation and startup of the U-loop reactor.…”

Section: B Single Cell Protein Production In a U-loop Reactormentioning

confidence: 99%

The Extended Kalman Filter for Nonlinear State Estimation in a U-loop Bioreactor

Ritschel

Boiroux

Nielsen

et al. 2019

2019 IEEE Conference on Control Technology and Applications (CCTA)

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“…Increase in human population was predicted to rise in geometric progression which is in contrast with arithmetic pattern of expected food supply (Olsen et al, 2010). Similarly, the rise in the number of impoverished people necessitates the search for alternative protein sources to address the malnutrition challenges affecting vulnerable populations in developing countries including Nigeria (Ravindra, 2000).…”

Section: Introductionmentioning

confidence: 99%

Effect of nutrient supplementation on single cell protein production from watermelon and pineapple peels

Abarshi¹,

Mada²,

Amin³

et al. 2018

Nig J Bas App Sci

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The fast growing population of the world has led to an increased demand for protein rich food; this exerts great pressure on food and feed industries to produce sufficient quantities of protein to meet the high nutrient requirements of vulnerable populations (children and women). Single cell protein (SCP) has proven to be a sustainable approach since agricultural residues can be used for the production. In the present study, efforts were made to improve the growth support capacity of watermelon and pineapple fruit peels by submerged fermentation using Saccharomyces cerevisiae. Fruit hydrolysate media supplemented with glucose and nitrogen recorded the highest concentrations of total carbohydrate (6.6 g/L) and crude protein (20 g/L) on the 16 th day of fermentation, as compared to that of the fruit hydrolysate media without supplementation which produced 3.6 g/L of total carbohydrate and 5.6 g/L of crude protein. Similarly, fruit hydrolysate media supplemented with nitrogen recorded higher content of total carbohydrate (5.4 g/L) and crude protein (20 g/L); while fruit hydrolysate media supplemented with glucose produced 5.1 g/L and 6.0 g/L of total carbohydrate and crude protein, respectively. Thus, S. cerevisiae produces higher amount of Single Cell Protein by submerged fermentation of pineapple peel hydrolysate (9.8%) as compared to watermelon peel hydrolysate (2.42%). It was also observed that, the combination of the two fruit peels produces higher SCP than watermelon but lower than pineapple fruit peels. However, supplementation with nutrients (Glucose and Ammonium sulphate) at 2% (w/v) greatly increased SCP production in all the fruit combinations. This suggest that microbial growth support capacity of fruit peels can best be improved by addition of nutrient supplements rather than combining different fruit peels. The findings in this study indicated that pineapple peels could serve as a good substrate for SCP production which is strongly influenced by glucose and ammonium sulphate supplementations.

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Modeling and Simulation of Single Cell Protein Production

Cited by 11 publications

References 7 publications

Optimal Operating Points for SCP Production in the U-Loop Reactor

Optimal Operating Points for SCP Production in the U-Loop Reactor

The Extended Kalman Filter for Nonlinear State Estimation in a U-loop Bioreactor

Effect of nutrient supplementation on single cell protein production from watermelon and pineapple peels

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