Abstract:BACKGROUND: Succinic acid (SA) biotechnological production represents a promising alternative to the fossil-fuel based chemical production route. The goal of this study was to develop a SA production process conducted with biofilms of Actinobacillus succinogenes and fed with cheese whey, a lactose-rich by-product of the cheese-making processes.
“…Several renewable feedstocks are attractive for use as substrates in the microbial production of valuable bioproducts. Among them, cheese whey, a waste product of the dairy industry, is particularly interesting [13,14]. Due to the high lactose content (> 80%) of whey permeate, which is recovered from cheese whey during the production of whey protein concentrate, this by-product can be an attractive, easy-to-use and low-cost substrate for succinate production [5,15].…”
Section: Introductionmentioning
confidence: 99%
“…Many bacterial strains have been screened and investigated for succinic acid production, including Basfia succiniciproducens [16], Mannheimia succiniciproducens [18], Actinobacillus succinogenes [7,13,19], Anaerobiospirillum succiniciproducens [20], Corynebacterium glutamicum [21] and recombinant Escherichia coli strains [22,23]. These microorganisms are well studied and frequently used to produce succinate under anaerobic conditions [24].…”
Background: Succinic acid (SA), a valuable chemical compound with a broad range of industrial uses, has become a subject of global interest in recent years. The bio-based production of SA by highly efficient microbial producers from renewable feedstock is significantly important, regarding the current trend of sustainable development. Results: In this study, a novel bacterial strain, LU2, was isolated from cow rumen and recognized as an efficient producer of SA from lactose. Proteomic and genetic identifications as well as phylogenetic analysis were performed, and strain LU2 was classified as an Enterobacter aerogenes species. The optimal conditions for SA production were 100 g/L lactose, 10 g/L yeast extract, and 20% inoculum at pH 7.0 and 34 °C. Under these conditions, approximately 51.35 g/L SA with a yield of 53% was produced when batch fermentation was conducted in a 3-L stirred bioreactor. When lactose was replaced with whey permeate, the highest SA concentration of 57.7 g/L was achieved with a yield and total productivity of 62% and 0.34 g/(L*h), respectively. The highest productivity of 0.67 g/(L*h) was observed from 48 to 72 h of batch fermentation, when E. aerogenes LU2 produced 16.23 g/L SA. Conclusions: This study shows that the newly isolated strain E. aerogenes LU2 has great potential as a new biocatalyst for producing SA from whey permeate.
“…Several renewable feedstocks are attractive for use as substrates in the microbial production of valuable bioproducts. Among them, cheese whey, a waste product of the dairy industry, is particularly interesting [13,14]. Due to the high lactose content (> 80%) of whey permeate, which is recovered from cheese whey during the production of whey protein concentrate, this by-product can be an attractive, easy-to-use and low-cost substrate for succinate production [5,15].…”
Section: Introductionmentioning
confidence: 99%
“…Many bacterial strains have been screened and investigated for succinic acid production, including Basfia succiniciproducens [16], Mannheimia succiniciproducens [18], Actinobacillus succinogenes [7,13,19], Anaerobiospirillum succiniciproducens [20], Corynebacterium glutamicum [21] and recombinant Escherichia coli strains [22,23]. These microorganisms are well studied and frequently used to produce succinate under anaerobic conditions [24].…”
Background: Succinic acid (SA), a valuable chemical compound with a broad range of industrial uses, has become a subject of global interest in recent years. The bio-based production of SA by highly efficient microbial producers from renewable feedstock is significantly important, regarding the current trend of sustainable development. Results: In this study, a novel bacterial strain, LU2, was isolated from cow rumen and recognized as an efficient producer of SA from lactose. Proteomic and genetic identifications as well as phylogenetic analysis were performed, and strain LU2 was classified as an Enterobacter aerogenes species. The optimal conditions for SA production were 100 g/L lactose, 10 g/L yeast extract, and 20% inoculum at pH 7.0 and 34 °C. Under these conditions, approximately 51.35 g/L SA with a yield of 53% was produced when batch fermentation was conducted in a 3-L stirred bioreactor. When lactose was replaced with whey permeate, the highest SA concentration of 57.7 g/L was achieved with a yield and total productivity of 62% and 0.34 g/(L*h), respectively. The highest productivity of 0.67 g/(L*h) was observed from 48 to 72 h of batch fermentation, when E. aerogenes LU2 produced 16.23 g/L SA. Conclusions: This study shows that the newly isolated strain E. aerogenes LU2 has great potential as a new biocatalyst for producing SA from whey permeate.
“…PCs were analyzed with an HPLC method using an Agilent Infinity 1260 HPLC (Santa Clara, USA) and expressed as mg of gallic acid per liter (mg GA L –1 ); the instrument and method utilized are described in detail in Frascari et al 31 . VFAs were analysed with a Shimadzu Prominence HPLC (Kyoto, Japan), as reported in Longanesi et al 33 . VFAs concentration was determined as the sum of the single VFA concentrations.…”
“…In particular, this work represents the first published effort to write a computer code specifically designed to calibrate a partial differential equation system solved by means of Comsol Multiphysics, a solver that can incorporate any kinetic term, no matter how complex. The MATLAB‐Comsol Multiphysics code developed in this work, and made available in the Supplementary Material, can be used for model calibration in a wide range of physical problems described by non‐stationary partial differential equations, such as pollutant transport and degradation in porous media, equilibrium and mass‐transfer limited adsorption, and attached‐growth bioproduction of chemicals or biofuels . Secondly, while the statistical testing of model adequacy is typically neglected in simulation studies, in this work a simple and easily applicable multi‐variate model adequacy test is illustrated and applied to a system of non‐stationary second‐order partial differential equations with non‐linear kinetic terms.…”
Section: Introductionmentioning
confidence: 99%
“…The MATLAB-Comsol Multiphysics code developed in this work, and made available in the Supplementary Material, can be used for model calibration in a wide range of physical problems described by non-stationary partial differential equations, such as pollutant transport and degradation in porous media, equilibrium and masstransfer limited adsorption, and attached-growth bioproduction of chemicals or biofuels. [51][52][53][54][55] Secondly, while the statistical testing of model adequacy is typically neglected in simulation studies, in this work a simple and easily applicable multi-variate model adequacy test is illustrated and applied to a system of nonstationary second-order partial differential equations with nonlinear kinetic terms. Lastly, for the first time a kinetic model of CAH AC with terms accounting for NADH scarcity is calibrated on a continuous-flow pilot-scale CAH AC process, whereas the application of such a model to a batch CAH AC process was performed in a previous work.…”
Chlorinated solvents are toxic and poorly biodegradable pollutants frequently found in contaminated aquifers. Experimental data of chloroform (CF) aerobic cometabolic biodegradation in a sand column with butane as growth substrate were simulated with a system of non‐stationary second‐order partial differential equations with non‐linear kinetic terms. A MATLAB optimization code based on the Gauss‐Newton method and coupled with the Comsol Multiphysics finite elements solver was developed to calibrate the model. For each experimental phase, the best‐fit quality was evaluated by an innovative multi‐variable model adequacy test. The proposed code solved systems of up to 5 partial differential equations and optimized up to 6 unknown parameters, leading to statistically acceptable best‐fits. The optimization of the butane/oxygen pulsed feed led to an 82 % CF biodegradation and to a 0.27 gCF/gbutane transformation yield. When the substrate/pollutant ratio was minimized, the standard model of aerobic cometabolism initially tested required additional terms aimed at taking into account the depletion of reducing energy, in order to attain a statistically acceptable best‐fit. This is the first work in which a model of aerobic cometabolism taking into account reducing energy availability was applied to a continuous‐flow process. The proposed optimization code can be used for model calibration in a wide range of physical problems described by non‐stationary, non‐linear partial differential equations, a task that no commercial software can perform. The developed code is made available in the Supplementary Material.
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