Evaluation of different strains of Saccharomyces cerevisiae for ethanol production from high-amylopectin BRS AG rice (Oryza sativa L.)

Almeida, I. C.; Pacheco, T. F.; Machado, Fabricio; Gonçalves, Sílvia Belém

doi:10.1038/s41598-022-06245-0

Cited by 11 publications

(6 citation statements)

References 24 publications

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“…Biomass concentration was measured with a spectrophotometer UV-VIS DR 6000 (HACH, Loveland, CO, USA) by optical density at 600 nm, values in g/L were obtained relating optical density with a calibration curve of the dry weight of K. marxianus . For glucose consumption and ethanol production by High-Performance Liquid Chromatography (HPLC series 1200, Agilent Technology, Palo Alto, CA, USA), a BIORAD HP-

ion exchange column was used, in an AGILENT® 1200 series equipment, with H

N as mobile phase, at a flow of

mL/min, the column temperature was

C, and the Refractive Index detector temperature was

C. The injection volume of 5

L, calibration curves were made with glucose and ethanol Sigma Aldrich

purity or higher, and a determination coefficient higher than

for each compound [ 36 , 37 ].…”

Section: Methodsmentioning

confidence: 99%

Mechanistic Modelling of Biomass Growth, Glucose Consumption and Ethanol Production by Kluyveromyces marxianus in Batch Fermentation

Salazar

Valle

Rodriguez

et al. 2023

Entropy

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This paper presents results concerning mechanistic modeling to describe the dynamics and interactions between biomass growth, glucose consumption and ethanol production in batch culture fermentation by Kluyveromyces marxianus (K. marxianus). The mathematical model was formulated based on the biological assumptions underlying each variable and is given by a set of three coupled nonlinear first-order Ordinary Differential Equations. The model has ten parameters, and their values were fitted from the experimental data of 17 K. marxianus strains by means of a computational algorithm design in Matlab. The latter allowed us to determine that seven of these parameters share the same value among all the strains, while three parameters concerning biomass maximum growth rate, and ethanol production due to biomass and glucose had specific values for each strain. These values are presented with their corresponding standard error and 95% confidence interval. The goodness of fit of our system was evaluated both qualitatively by in silico experimentation and quantitative by means of the coefficient of determination and the Akaike Information Criterion. Results regarding the fitting capabilities were compared with the classic model given by the logistic, Pirt, and Luedeking–Piret Equations. Further, nonlinear theories were applied to investigate local and global dynamics of the system, the Localization of Compact Invariant Sets Method was applied to determine the so-called localizing domain, i.e., lower and upper bounds for each variable; whilst Lyapunov’s stability theories allowed to establish sufficient conditions to ensure asymptotic stability in the nonnegative octant, i.e., R+,03. Finally, the predictive ability of our mechanistic model was explored through several numerical simulations with expected results according to microbiology literature on batch fermentation.

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ion exchange column was used, in an AGILENT® 1200 series equipment, with H

N as mobile phase, at a flow of

mL/min, the column temperature was

C, and the Refractive Index detector temperature was

C. The injection volume of 5

L, calibration curves were made with glucose and ethanol Sigma Aldrich

purity or higher, and a determination coefficient higher than

for each compound [ 36 , 37 ].…”

Section: Methodsmentioning

confidence: 99%

Mechanistic Modelling of Biomass Growth, Glucose Consumption and Ethanol Production by Kluyveromyces marxianus in Batch Fermentation

Salazar

Valle

Rodriguez

et al. 2023

Entropy

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“…The substrate's bioconversion into the product (g product •g glycerol −1 ) was calculated using Equation (2) to obtain the fermentation yield [42].…”

Section: Fermentation Yieldmentioning

confidence: 99%

Bioconversion of Glycerol into Lactic Acid by a New Bacterial Strain from the Brazilian Cerrado Soil

et al. 2022

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A lactic-acid-producing strain was isolated from the Brazilian Cerrado soil (Brazilian savanna). Glycerol, a byproduct of the biodiesel industry, can be converted into various chemical intermediates of industrial value by biotechnological routes. Klebsiella pneumoniae can metabolize glycerol in environments with or without oxygen and bioconvert it into several chemicals with high value-added, such as lactic acid, 3-hydroxypropionic acid and 1,3 propanediol. The wild-type bacterial strain (2GPP) isolated from a soil sample from the Brazilian Cerrado was determined to be a K. pneumoniae complex that was capable of successfully metabolizing glycerol. Fermentations were performed with different temperatures, pH, and inoculum concentrations to evaluate the best lactic acid production. At first, 1,3-propanediol and L-(+)-lactic acid were produced in mini reactors. A lactic acid production of 3.8 g·L−1 and a decrease in 1,3-propanediol output were observed. Thus, by adjusting process variables such as pH and temperature during fermentation, it was possible to maximize the production of lactic acid and decrease the formation of 1,3-propanediol by utilizing experimental design strategies.

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“…Recently, bioethanol has attracted much attention because it can achieve green biosynthesis. Apart from being a fuel with high octane number that can be mixed with existing energy substances, in this era of constant threats to human health, ethanol is also used widely as a medicine and food additive [ 1 , 2 ]. Bioethanol is synthesized primarily via fermentation by Saccharomyces cerevisiae using various substrates such as glucose, sucrose, and starch.…”

Section: Introductionmentioning

confidence: 99%

Key role of K+ and Ca2+ in high-yield ethanol production by S. Cerevisiae from concentrated sugarcane molasses

Wang,

et al. 2024

Microb Cell Fact

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Background Saccharomyces cerevisiae is an important microorganism in ethanol synthesis, and with sugarcane molasses as the feedstock, ethanol is being synthesized sustainably to meet growing demands. However, high-concentration ethanol fermentation based on high-concentration sugarcane molasses—which is needed for reduced energy consumption of ethanol distillation at industrial scale—is yet to be achieved. Results In the present study, to identify the main limiting factors of this process, adaptive laboratory evolution and high-throughput screening (Py-Fe3+) based on ARTP (atmospheric and room-temperature plasma) mutagenesis were applied. We identified high osmotic pressure, high temperature, high alcohol levels, and high concentrations of K+, Ca2+, K+ and Ca2+ (K+&Ca2+), and sugarcane molasses as the main limiting factors. The robust S. cerevisiae strains of NGT-F1, NGW-F1, NGC-F1, NGK+, NGCa2+ NGK+&Ca2+-F1, and NGTM-F1 exhibited high tolerance to the respective limiting factor and exhibited increased yield. Subsequently, ethanol synthesis, cell morphology, comparative genomics, and gene ontology (GO) enrichment analysis were performed in a molasses broth containing 250 g/L total fermentable sugars (TFS). Additionally, S. cerevisiae NGTM-F1 was used with 250 g/L (TFS) sugarcane molasses to synthesize ethanol in a 5-L fermenter, giving a yield of 111.65 g/L, the conversion of sugar to alcohol reached 95.53%. It is the highest level of physical mutagenesis yield at present. Conclusion Our results showed that K+ and Ca2+ ions primarily limited the efficient production of ethanol. Then, subsequent comparative transcriptomic GO and pathway analyses showed that the co-presence of K+ and Ca2+ exerted the most prominent limitation on efficient ethanol production. The results of this study might prove useful by promoting the development and utilization of green fuel bio-manufactured from molasses.

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Evaluation of different strains of Saccharomyces cerevisiae for ethanol production from high-amylopectin BRS AG rice (Oryza sativa L.)

Cited by 11 publications

References 24 publications

Mechanistic Modelling of Biomass Growth, Glucose Consumption and Ethanol Production by Kluyveromyces marxianus in Batch Fermentation

Mechanistic Modelling of Biomass Growth, Glucose Consumption and Ethanol Production by Kluyveromyces marxianus in Batch Fermentation

Bioconversion of Glycerol into Lactic Acid by a New Bacterial Strain from the Brazilian Cerrado Soil

Key role of K+ and Ca2+ in high-yield ethanol production by S. Cerevisiae from concentrated sugarcane molasses

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