Modeling of pullulan fermentation by using a color variant strain of Aureobasidium pullulans

Cheng, Kuan‐Chen; Demirci, Ali; Catchmark, Jeffrey M.; Puri, Virendra M.

doi:10.1016/j.jfoodeng.2010.01.011

Cited by 35 publications

(21 citation statements)

References 33 publications

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“…However, the complexity can be minimized by determining only the limited critical parameters in the model showing sensitivity to DOT. In contrast to pullulan fermentation [37], curdlan fermentation resulted in apparent changes in m Glc , β max , Y P/G , and k p at various DOTs. m Glc decreased as the DOT concentration was increased from 15% to 30% and then slightly fluctuated as the concentration was further increased from 30% to 60%.…”

Section: Discussionmentioning

confidence: 58%

Model-based estimation of optimal dissolved oxygen profile in Agrobacterium sp. fed-batch fermentation for improvement of curdlan production under nitrogen-limited condition

Zhang

Zhu²,

Liu

et al. 2015

Biochemical Engineering Journal

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Section: Discussionmentioning

confidence: 58%

Model-based estimation of optimal dissolved oxygen profile in Agrobacterium sp. fed-batch fermentation for improvement of curdlan production under nitrogen-limited condition

Zhang

Zhu²,

Liu

et al. 2015

Biochemical Engineering Journal

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“…The full fat soya provides the lipids and carbon after the completion of the lag phase of growth as described earlier by Pouliot and coworkers [17]. The slow supply of carbon subunits and lipids from full fat soya seems to be responsible for the higher production of pullulan as noticed by other workers with other carbon [18] and nitrogen sources [19]. The concentrated hydrolyzed soya extract provides slow essential nitrogen source for the stationary phase cells to be complete in the production phase as it has complex forms of nitrogen compared to the readily available Yeast Extract.…”

Section: Discussionmentioning

confidence: 63%

Directive Production of Pullulan by Altering Cheap Source of Carbons and Nitrogen at 5 L Bioreactor Level

Sheoran

Dubey

Tiwari

et al. 2012

ISRN Chemical Engineering

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In the present paper, attempts have been made to control the production of pullulan by supplementing commercial source of carbons and protein, timely. Pullulan production was regulated by supplying full fat soya flour and hydrolyzed soya extract, individually and in combination. Pullulan quantification was assayed for sensitivity to pullulanase. Aureobasidium pullulans was found to produce 125.7 gL −1 of pullulan. The rotation speed of shake flask, the pH of broth, and the supply of air were maintained at 180 rpm, 5.9, and 1.5 vvm air, respectively. The effect of carbons and lipids on pullulan production was noticed to be substrate specific. However, after the lapse of 36 h, addition of full fat soya floor and hydrolyzed soya extract in combination enhanced the pullulan production 125.7 gL −1 . Besides this, pH of broth was also noticed as a critical factor in monitoring pullulan biosynthesis. The newly isolated mutant Aureobasidium pullulans, having high potential for pullulan production as compared to existing data, can be well used for commercialization of pullulan.

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“…A set of mathematical and unstructured kinetic models, significantly define the substrate usage and growth-related production formation kinetics in a batch system that were studied by many researchers. [21][22] Models of Logistic and Luedeking-Piret were used to simulate the cellular increase and antibacterial metabolite production of S. halotolerans VSM 2. The statistics acquired from the models had been used to calculate the specific cell growth rate (µ max ), d…”

Section: Unstructured Model Developmentmentioning

confidence: 99%

Improved Bioactive Metabolite Production by Saccharopolyspora halotolerans VSM-2 Using Response Surface Methodology and Unstructured Kinetic Modelling

Managamuri¹,

Vijayalakshmi²,

Indupalli³

et al. 2018

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Background:This study targets to optimize and analyse the interactive effects of process variables for improved bioactive metabolite production using RSM and unstructured kinetic modelling by S. halotolerans VSM 2. Materials and Methods: RSM was applied to optimize the interactive effects of five variables, viz., time of incubation, pH, temperature, concentration of maltose and meat extract on bioactive metabolite production and its effect against the five responses viz., S. flexneri, S. marcescens, P. vulgaris, P. aeruginosa and E. coli. Models of Logistic and Luedeking-Piret were used to simulate the cellular increase and bioactive metabolite production. Results: RSM optimal conditions for the bioactive metabolite production recorded were incubation time (12days), pH (8), and temperature (25 0 C), concentrations of maltose and meat extract (1 % w/v) (each). The effect of the bioactive metabolite produced (zone of inhibition) against the responses were found to be 17 mm for S. flexneri, 17 mm for S. marcescens, 16 mm for P. vulgaris, 17 mm for P. aeruginosa and 18 mm for E coli. The data obtained from experimental values are in close agreement with the predicted values of RSM. Model adequacy was evaluated using ANOVA variance where the quadratic effect of p<0.0001 which imply the significance of the model. The unstructured-, mathematical-kinetic models provided a better approximation of profiles of S. halotolerans VSM 2 growth, optimized media utilization and bioactive metabolite production. Conclusion: Optimization of the independent variables for the production of the bioactive metabolite using RSM by S. halotolerans VSM 2 and its effect against the five responses were documented. The predicted values are in good agreement with the experimental values. Unstructured models provided a better approximation of kinetic profiles for bioactive metabolite production by S. halotolerans VSM 2.

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Modeling of pullulan fermentation by using a color variant strain of Aureobasidium pullulans

Cited by 35 publications

References 33 publications

Model-based estimation of optimal dissolved oxygen profile in Agrobacterium sp. fed-batch fermentation for improvement of curdlan production under nitrogen-limited condition

Model-based estimation of optimal dissolved oxygen profile in Agrobacterium sp. fed-batch fermentation for improvement of curdlan production under nitrogen-limited condition

Directive Production of Pullulan by Altering Cheap Source of Carbons and Nitrogen at 5 L Bioreactor Level

Improved Bioactive Metabolite Production by Saccharopolyspora halotolerans VSM-2 Using Response Surface Methodology and Unstructured Kinetic Modelling

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