Comparison of unstructured kinetic bacterial growth models.

Muloiwa, Mpho; Nyende‐Byakika, Stephen; Dinka, Megersa Olumana

doi:10.1016/j.sajce.2020.07.006

Cited by 80 publications

(47 citation statements)

References 32 publications

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“…Nine Monod-based kinetic growth models (Table 1 ) were fitted to the shake flask cultivation data to evaluate the relationship between μ and C 0 . The parameters, function, and application of these models have been previously described in detail (Panikov 2010 ; Dutta et al 2015 ; Muloiwa et al 2020 ). Values of μ for the shake flask cultivations were calculated using Eq.…”

Section: Methodsmentioning

confidence: 99%

Optimized cell growth and poly(3-hydroxybutyrate) synthesis from saponified spent coffee grounds oil

Ingram

Martin

Winterburn

2022

Appl Microbiol Biotechnol

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Spent coffee ground (SCG) oil is an ideal substrate for the biosynthesis of polyhydroxyalkanoates (PHAs) by Cupriavidus necator. The immiscibility of lipids with water limits their bioavailability, but this can be resolved by saponifying the oil with potassium hydroxide to form water-soluble fatty acid potassium salts and glycerol. Total saponification was achieved with 0.5 mol/L of KOH at 50 °C for 90 min. The relationship between the initial carbon substrate concentration (C0) and the specific growth rate (µ) of C. necator DSM 545 was evaluated in shake flask cultivations; crude and saponified SCG oils were supplied at matching initial carbon concentrations (C0 = 2.9–23.0 g/L). The Han-Levenspiel model provided the closest fit to the experimental data and accurately described complete growth inhibition at 32.9 g/L (C0 = 19.1 g/L) saponified SCG oil. Peak µ-values of 0.139 h−1 and 0.145 h−1 were obtained with 11.99 g/L crude and 17.40 g/L saponified SCG oil, respectively. Further improvement to biomass production was achieved by mixing the crude and saponified substrates together in a carbon ratio of 75:25% (w/w), respectively. In bioreactors, C. necator initially grew faster on the mixed substrates (µ = 0.35 h−1) than on the crude SCG oil (µ = 0.23 h−1). After harvesting, cells grown on crude SCG oil obtained a total biomass concentration of 7.8 g/L and contained 77.8% (w/w) PHA, whereas cells grown on the mixed substrates produced 8.5 g/L of total biomass and accumulated 84.4% (w/w) of PHA. Key points • The bioavailability of plant oil substrates can be improved via saponification. • Cell growth and inhibition were accurately described by the Han-Levenpsiel model. • Mixing crude and saponified oils enable variation of free fatty acid content.

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Section: Methodsmentioning

confidence: 99%

Optimized cell growth and poly(3-hydroxybutyrate) synthesis from saponified spent coffee grounds oil

Ingram

Martin

Winterburn

2022

Appl Microbiol Biotechnol

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“…To date, the empirical Monod kinetic has proved to be the most popular model used to describe the bacteria growth rate. [ 29 ] Compared with the Michaelis‐Menten model, the Monod constant has no specific fundamental meaning, whereas the Michaelis‐Menten constant is the concentration of substrate when the activity of enzyme reaches half of the maximum activity. On the other hand, the Michaelis‐Menten model is based on theoretical derivation.…”

Section: Models Used For Fermentation During Cream Cheese Productionmentioning

confidence: 99%

Which model? Comparing fermentation kinetic expressions for cream cheese production

Guo

et al. 2021

Can J Chem Eng

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Knowing the time‐dependent concentrations of biomass, lactose, and lactic acid is crucial for the optimal production of cream cheese. This paper reviews the commonly used kinetic models for cream cheese fermentation and assesses their performance using cross‐validation, Akaike information criterion, and the coefficient of determination using laboratory data. The product inhibition model called the Boulton Model gives the best prediction. This model is a valuable instrument for cream cheese research.

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“…The Monod nitrification rate was: 55 [Y(x/s)] was incorporated to obtain a better performance according to empirical data.…”

Section: Monod Kinetics Modelmentioning

confidence: 99%

“…In general, research articles focused on operating a simulated effluent or by using simulation software [55,56]. In this work, the Monod model and Nernst equation were tested on diluted BRNW.…”

Section: Inhibition Assays: Maximum Load Of Brnwmentioning

confidence: 99%

Nitrification Process in a Nuclear Wastewater with High Load of Nitrogen, Uranium and Organic Matter under ORP Controlled

Venturini

Rossen²,

Paulo

2021

Water

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To produce nuclear fuels, it is necessary to convert uranium′s ore into UO2-ceramic grade, using several quantities of kerosene, methanol, nitric acid, ammonia, and, in low level, tributyl phosphate (TBP). Thus, the effluent generated by nuclear industries is one of the most toxic since it contains high concentrations of dangerous compounds. This paper explores biological parameters on real nuclear wastewater by the Monod model in an ORP controlled predicting the specific ammonia oxidation. Thermodynamic parameters were established using the Nernst equation to monitor Oxiders/Reductors relationship to obtain a correlation of these parameters to controlling and monitoring; that would allow technical operators to have better control of the nitrification process. The real nuclear effluent is formed by a mixture of two different lines of discharges, one composed of a high load of nitrogen, around 11,000 mg/L (N-NH4+-N-NO3−) and 600 mg/L Uranium, a second one, proceeds from uranium purification, containing TBP and COD that have to be removed. Bioprocesses were operated on real wastewater samples over 120 days under controlled ORP, as described by Nernst equations, which proved to be a robust tool to operate nitrification for larger periods with a very high load of nitrogen, uranium, and COD.

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Comparison of unstructured kinetic bacterial growth models.

Cited by 80 publications

References 32 publications

Optimized cell growth and poly(3-hydroxybutyrate) synthesis from saponified spent coffee grounds oil

Optimized cell growth and poly(3-hydroxybutyrate) synthesis from saponified spent coffee grounds oil

Which model? Comparing fermentation kinetic expressions for cream cheese production

Nitrification Process in a Nuclear Wastewater with High Load of Nitrogen, Uranium and Organic Matter under ORP Controlled

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