Kinetic models and parameters estimation study of biomass and ethanol production from inulin by Pichia caribbica (KC977491)

Ali, Mounira Kara; Hiligsmann, Serge; Outili, Nawel; Cherfia, Radia; Chaouche, Noreddine Kacem

doi:10.5897/ajb2016.15747

Cited by 13 publications

(6 citation statements)

References 43 publications

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“…This study confirmed that the Logistic equation for the growth and the Leudeking Piret kinetic model for substrate utilization were able to fit the experimental data, and the same result was obtained by Kara Ali et al [43] Where they used the logistic empirical kinetic model and Leudeking Piret model and they obtained good agreement with the experimental data.…”

Section: Estimated Regression Coefficients Of T and P And Analysis Of...supporting

confidence: 88%

Optimization of Baker’s Yeast Production on Grape Juice Using Response Surface Methodology

Mahmood¹,

Ali²,

Darwesh³

et al. 2023

Response Surface Methodology - Research Advances and Applications

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The purpose of this study is to complete as an example the fermentation conditions allowing the production of Saccharomyces cerevisiae yeast biomass in large quantities using the juice as the same carbon source. Determination of the best of five factors affects the production of dry biomass by baker’s yeast. The optimal value of the five factors affecting the process of biomass production by the baker’s sourdough was determined. The experimental design was performed using CCD (Central Composite Experimental Design), and the response surface methodology method was used to determine the best possible amount of production of yeast and has reached (41.44 g/L) after 12 hours of fermentation, under the following optimal conditions (temperature (30.11°С), pH (4.75), sugar concentration (158.36 g/L), the ratio of carbon to nitrogen (an essential nutrient for yeast growth) that is (11.9), and initial concentration of yeasts (2.5 g/L). Three kinematic models (Monod, Verhulst, and Tessier) were also selected for the purpose of studying the kinetic performance of S. cerevisiae yeast, and the best results were obtained based on the Verhulst model. The Leudeking Piret model has also been successfully used to estimate substrate during fermentation.

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Section: Estimated Regression Coefficients Of T and P And Analysis Of...supporting

confidence: 88%

Optimization of Baker’s Yeast Production on Grape Juice Using Response Surface Methodology

Mahmood¹,

Ali²,

Darwesh³

et al. 2023

Response Surface Methodology - Research Advances and Applications

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“…For substrate consumption, the Monod and Luedeking-Piret models are the ones that exhibit a closer fit to the experimental data, the latter being the one that best fits if the values of R 2 , AIC, and RMSE are considered. The experimental data resemble data reported in previous studies, where the data predicted with the model were highly compatible with the experimental kinetics, with satisfactory R 2 and RSME 60,61 .…”

Section: Mathematical Modeling To Determine the Kineticssupporting

confidence: 86%

“…The kinetics of product formation was based on the application of three unstructured models: Luedeking-Piret 27 , which depends on the growth rate and the instantaneous concentration of biomass ( 5), the logistic equation 28 that describes the production of LA ( 6), and the simple production model 29 that represents the generation of a product to be estimated (7).…”

Section: Mathematical Models For La Productionmentioning

confidence: 99%

“…The kinetics of substrate consumption was established by the use of different models, which are described below: Monod 30 , which in general is characterized by reaching a degree of adjustment close to the experimental data (8), Luedeking-Piret 27 expressed as a simple model ( 9) and Hanson-Tsao 31 , which is a mathematical model proposed to describe substrate consumption through biomass concentration (10).…”

Section: Mathematical Models For Substrate Consumptionmentioning

confidence: 99%

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Obtaining lactic acid through microbial fermentation from corn residues

Cantos-Macías,

Sánchez-Piguave,

Ponce

et al. 2023

Afinidad

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The production and kinetics of lactic acid (LA) by batch fermentation were studied, using corn residues as substrate with Lactobacillus delbrueckii spp. Bulgaricus. A factorial design was developed for the pretreatment stage of the residue and lactic fermentation to determine the best conditions for obtaining total reducing sugars and lactic acid. In the pretreatment, the best conditions were obtained by working with HCl at 3% (v/v), 75 °C, and 30 minutes of reaction. Fermentation was carried out, keeping the medium at a pH between 5.5-6, and the best working conditions were 100 µl of the microorganism, 37ºC, and 24 hours of fermentation, reaching a maximum concentration of 19.9 g/L. Kinetic models for LA production, bacterial growth, and substrate consumption were proposed. Likewise, to verify the observed data, different statistical indices were calculated to evaluate the accuracy of the models. Finally the Luedeking-Piret and logistic models, were selected as they presented the best fit to the experimental data for LA production, substrate consumption, and bacterial growth, respectively.

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“…Linear and nonlinear calibration methods were used to build a prediction model of POD information by hyperspectral data. The PLS analysis was generally used for linear calibrations, and the SVM method was investigated for nonlinear calibrations [24] . After six days, the 90 undamaged leaves were randomly selected as the calibration set for each variety, and the remaining 30 samples were taken as the prediction set for each variety.…”

Section: Spectral Data Analysismentioning

confidence: 99%

Kinetic models of peroxidase activity in potato leaves infected with late blight based on hyperspectral data

Li¹,

Hu²

2019

International Journal of Agricultural and Biological Engineering

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Potato late blight, which is caused by Phytophthorainfestans (Mont.) de Bary, is a worldwide devastating disease for potato. It decreased yields of potato and caused unpredictable losses all over the world. Various simple statistical methods and forecasting models have been developed to predict and manage potato late blight. Meanwhile, there is a rising need to develop prediction models reflecting peroxidase (POD) activity, which is an important health index that varies with infection and correlated with stress resistance in plants. Thus, the aim of this research was to develop kinetic models to predict POD activity. Infection-induced changes in potato leaves stored in an artificial climate chest at 25°C were analyzed using hyperspectroscopy. Four prediction models were developed by using linear partial least squares (PLS) and nonlinear support vector machine (SVM) methods based on the full spectrum and effective wavelengths. The effective wavelengths were selected by the successive projection algorithm (SPA). In this study, the prediction model developed by means of SPA-SVM method obtained the best performance, with a R p (correlation coefficient of prediction) value of 0.923 and a RMSEp (root mean square error of prediction) value of 24.326. Five-order kinetics models according to the prediction model were developed, and late blight disease can be predicted using this model. This study provided a theoretical basis for the prediction of latencies of late blight.

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Kinetic models and parameters estimation study of biomass and ethanol production from inulin by Pichia caribbica (KC977491)

Cited by 13 publications

References 43 publications

Optimization of Baker’s Yeast Production on Grape Juice Using Response Surface Methodology

Optimization of Baker’s Yeast Production on Grape Juice Using Response Surface Methodology

Obtaining lactic acid through microbial fermentation from corn residues

Kinetic models of peroxidase activity in potato leaves infected with late blight based on hyperspectral data

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