Model re-parameterization and output prediction for a bioreactor system

Surisetty, Kartik; Siegler, Hector De la Hoz; McCaffrey, William C.; Ben-Zvi, Amos

doi:10.1016/j.ces.2010.04.024

Cited by 21 publications

(11 citation statements)

References 22 publications

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“…Also, K I CO 2 and K S I were estimated to be 1.79×10 3 mg CO 2 /L and 3.33 μmol photons.m −2 .s −1 , respectively, which are close to the values of 440 mg CO 2 /L and 14 μmol photons.m −2 .s −1 reported byHe et al (2012). Also,Surisetty et al (2010) reported a maximum glycine uptake rate of 0.08/h (1.92/day), which is close to the combination ammonium and nitrate uptake rate in our study (0.362/day). Thus, the parameter estimates obtained in our study are consistent with values available in the literature, with some differences existing because of the different media and conditions under which the microalgae were grown.…”

mentioning

confidence: 81%

Kinetic modeling and optimization of carbon dioxide fixation using microalgae cultivated in oil-sands process water

Kasiri

Ulrich

Prasad

2015

Chemical Engineering Science

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mentioning

confidence: 81%

Kinetic modeling and optimization of carbon dioxide fixation using microalgae cultivated in oil-sands process water

Kasiri

Ulrich

Prasad

2015

Chemical Engineering Science

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“…. Moreover, it is assumed that lipid production decreases as the lipid content reaches its theoretical maximum (De la Hoz Siegler et al, ; Surisetty, Hoz Siegler HD, McCaffrey, & Ben‐Zvi, ; Yoo et al, ).

π_{L I P} = π_{L I P}^{\max} . true(\frac{S}{K_{S, 2} + S + S^{2} true/ k_{I, 2}} true) true(1 - \frac{1}{α} \frac{X_{L}}{X_{T}} true) true(\frac{k_{2}}{k_{2} + C I T} true)

…”

Section: Methodsmentioning

confidence: 99%

Modeling and optimization of lipid accumulation by Yarrowia lipolytica from glucose under nitrogen depletion conditions

Robles-Rodriguez

Muñoz-Tamayo

Bideaux

et al. 2018

Biotech & Bioengineering

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Oleaginous yeasts have been seen as a feasible alternative to produce the precursors of biodiesel due to their capacity to accumulate lipids as triacylglycerol having profiles with high content of unsaturated fatty acids. The yeast Yarrowia lipolytica is a promising microorganism that can produce lipids under nitrogen depletion conditions and excess of the carbon source. However, under these conditions, this yeast also produces citric acid (overflow metabolism) decreasing lipid productivity. This work presents two mathematical models for lipid production by Y. lipolytica from glucose. The first model is based on Monod and inhibition kinetics, and the second one is based on the Droop quota model approach, which is extended to yeast. The two models showed good agreements with the experimental data used for calibration and validation. The quota based model presented a better description of the dynamics of nitrogen and glucose dynamics leading to a good management of N/C ratio which makes this model interesting for control purposes. Then, quota model was used to evaluate, by means of simulation, a scenario for optimizing lipid productivity and lipid content. For that, a control strategy was designed by approximating the flow rates of glucose and nitrogen with piecewise linear functions. Simulation results achieved productivity of 0.95 g L hr and lipid content fraction of 0.23 g g , which indicates that this strategy is a promising alternative for the optimization of lipid production.

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“…To demonstrate the proposed scheme, microalgal fed-batch bioreactor model proposed by Surisetty(2010) has been used. Model equations are given below: …”

Section: Case Study : Microalgal Fed-batch Bioreactormentioning

confidence: 99%