Effect of commercial Saccharomyces cerevisiae and non-Saccharomyces yeasts on the chemical composition and bioaccessibility of pineapple wine.

Alcoholic fermentation is one of man's most efficient food preservation processes, and innovations in this area are a trend in food science and nutrition. In addition to the classic Saccharomyces yeasts, various other species may have desirable characteristics for obtaining fruit wines. This study investigated the profile of non-Saccharomyces commercial yeasts compared with S. cerevisiae regarding pineapple wine's chemical composition and bioaccessibility. The fermentation profile of the yeasts Lachancea thermotolerans, Brettanomyces bruxellensis, Brettanomyces lambicus, and S. cerevisiae was evaluated for sugar and alcohol content, and the pineapple wines obtained were analyzed for amino acids, phenolics, and organic acids by HPLC and volatile profile by GC/MS. All yeast strains were able to produce ethanol and glycerol at acceptable levels. L. thermotolerans produced higher levels of lactic acid (0.95 g/L) and higher consumption of free amino acids. B. bruxellensis produced higher levels of individual phenolics and ethanol 109 g/L. The alcoholic fermentation process improved the bioaccessibility of phenolics such as catechin (237 %), epigallocatechin gallate (81 %), procyanidin B1 (61 %) and procyanidin B2 (61 %). The yeasts differed in their volatile profiles, with Brettanomyces and Lachancea producing higher levels of compounds associated with pineapple aroma, such as ester ethyl butyrate (260-270 µg/L). These results demonstrate the importance of choosing the yeast strain for the conduction of alcoholic fermentation and that the yeasts Brettanomyces and Lachancea showed technological potential in obtaining pineapple wines. This study contributes to developing processes for obtaining fruit wines by highlighting two non-Saccharomyces yeast species with technological potential for alcoholic fermentations.

Development of a model for the ethanol concentration limit as a function of temperature and initial substrate concentration using the yeast Saccharomyces cerevisiae.

In this study, a model was developed to simulate the effect of temperature ( T $T$ ) and initial substrate concentration ( S 0 ${S}_{0}$ ) on the ethanol concentration limit ( P max ${P}_{\max }$ ) using the yeast Saccharomyces cerevisiae. To achieve this, regressions were performed using data provided by other authors for P max ${P}_{\max }$ to establish a model dependent on T $T$ and S 0 ${S}_{0}$ capable of predicting results with statistical significance. After constructing the model, a response surface was generated to determine the conditions where P max ${P}_{\max }$ reaches higher values: temperatures between 28°C and 32°C and an initial substrate concentration around 200 g/L. Thus, the proposed model is consistent with the observations that increasing temperatures decrease the ethanol concentration obtained, and substrate concentrations above 200 g/L lead to a reduction in ethanol concentration even at low temperatures such as 28°C.

Optimal trade-off between boosted tolerance and growth fitness during adaptive evolution of yeast to ethanol shocks.

BACKGROUND: The selection of Saccharomyces cerevisiae strains with higher alcohol tolerance can potentially increase the industrial production of ethanol fuel. However, the design of selection protocols to obtain bioethanol yeasts with higher alcohol tolerance poses the challenge of improving industrial strains that are already robust to high ethanol levels. Furthermore, yeasts subjected to mutagenesis and selection, or laboratory evolution, often present adaptation trade-offs wherein higher stress tolerance is attained at the expense of growth and fermentation performance. Although these undesirable side effects are often associated with acute selection regimes, the utility of using harsh ethanol treatments to obtain robust ethanologenic yeasts still has not been fully investigated. RESULTS: We conducted an adaptive laboratory evolution by challenging four populations (P1-P4) of the Brazilian bioethanol yeast, Saccharomyces cerevisiae PE-2_H4, through 68-82 cycles of 2-h ethanol shocks (19-30% v/v) and outgrowths. Colonies isolated from the final evolved populations (P1c-P4c) were subjected to whole-genome sequencing, revealing mutations in genes enriched for the cAMP/PKA and trehalose degradation pathways. Fitness analyses of the isolated clones P1c-P3c and reverse-engineered strains demonstrated that mutations were primarily selected for cell viability under ethanol stress, at the cost of decreased growth rates in cultures with or without ethanol. Under this selection regime for stress survival, the population P4 evolved a protective snowflake phenotype resulting from BUD3 disruption. Despite marked adaptation trade-offs, the combination of reverse-engineered mutations cyr1A1474T/usv1Δ conferred 5.46% higher fitness than the parental PE-2_H4 for propagation in 8% (v/v) ethanol, with only a 1.07% fitness cost in a culture medium without alcohol. The cyr1A1474T/usv1Δ strain and evolved P1c displayed robust fermentations of sugarcane molasses using cell recycling and sulfuric acid treatments, mimicking Brazilian bioethanol production. CONCLUSIONS: Our study combined genomic, mutational, and fitness analyses to understand the genetic underpinnings of yeast evolution to ethanol shocks. Although fitness analyses revealed that most evolved mutations impose a cost for cell propagation, combination of key mutations cyr1A1474T/usv1Δ endowed yeasts with higher tolerance for growth in the presence of ethanol. Moreover, alleles selected for acute stress survival comprising the P1c genotype conferred stress tolerance and optimal performance under conditions simulating the Brazilian industrial ethanol production.

How Do Different Ingredients and Additives Affect the Production Steps and the Bioactive Potential of Mead?

Mead is a fermented alcoholic beverage that is made from honey diluted in water and commonly with the addition of other ingredients. The chemical characteristics of mead are closely related to the ingredients and additives that are used in its preparation, especially the type of honey, yeast strain and prefermentation nutrients, as well as herbs, spices and/or fruits. These additives can affect not only the fermentation process, in particular the yeast activity, the formation of metabolites and fermentation time, but also the bioactive potential of the mead, which mainly depends on phenolic compounds. Scientific studies have shown that the mead with added different plant species contains considerable amounts of different classes of polyphenols, which have important biological activities. Within this context, this review study seeks to investigate how different ingredients and additives can affect each of the stages of the preparation of mead, as well as its bioactive potential, in order to understand the effects on its chemical composition, and thus add greater commercial value to this beverage.

Brewing a Craft Belgian-Style Pale Ale Using Pichia kudriavzevii 4A as a Starter Culture.

There is an expanding market for beer of different flavors. This study aimed to prepare a craft Belgian-style pale ale with a non-Saccharomyces yeast. Pichia kudriavzevii 4A was used as a sole starter culture, and malted barley as the only substrate. The ingredients and brewing process were carefully monitored to ensure the quality and innocuousness of the beverage. During fermentation, the yeast consumed 89.7% of total sugars and produced 13.8% v/v of ethanol. The product was fermented and then aged for 8 days, adjusted to 5% v/v alcohol, and analyzed. There were no traces of mycotoxins, lead, arsenic, methanol, or microbiological contamination that would compromise consumer health. According to the physicochemical analysis, the final ethanol concentration (5.2% v/v) and other characteristics complied with national and international guidelines. The ethyl acetate and isoamyl alcohol present are known to confer sweet and fruity flavors. The sensory test defined the beverage as refreshing and as having an apple and pear flavor, a banana aroma, and a good level of bitterness. The judges preferred it over a commercial reference sample of Belgian-style pale ale made from S. cerevisiae. Hence, P. kudriavzevii 4A has the potential for use in the beer industry.

The Impact of Yeast Encapsulation in Wort Fermentation and Beer Flavor Profile.

The food and beverage industry is constantly evolving, and consumers are increasingly searching for premium products that not only offer health benefits but a pleasant taste. A viable strategy to accomplish this is through the altering of sensory profiles through encapsulation of compounds with unique flavors. We used this approach here to examine how brewing in the presence of yeast cells encapsulated in alginate affected the sensory profile of beer wort. Initial tests were conducted for various combinations of sodium alginate and calcium chloride concentrations. Mechanical properties (i.e., breaking force and elasticity) and stability of the encapsulates were then considered to select the most reliable encapsulating formulation to conduct the corresponding alcoholic fermentations. Yeast cells were then encapsulated using 3% (w/v) alginate and 0.1 M calcium chloride as a reticulating agent. Fourteen-day fermentations with this encapsulating formulation involved a Pilsen malt-based wort and four S. cerevisiae strains, three commercially available and one locally isolated. The obtained beer was aged in an amber glass container for two weeks at 4 °C. The color, turbidity, taste, and flavor profile were measured and compared to similar commercially available products. Cell growth was monitored concurrently with fermentation, and the concentrations of ethanol, sugars, and organic acids in the samples were determined via high-performance liquid chromatography (HPLC). It was observed that encapsulation caused significant differences in the sensory profile between strains, as evidenced by marked changes in the astringency, geraniol, and capric acid aroma production. Three repeated batch experiments under the same conditions revealed that cell viability and mechanical properties decreased substantially, which might limit the reusability of encapsulates. In terms of ethanol production and substrate consumption, it was also observed that encapsulation improved the performance of the locally isolated strain.

Wort disinfection treatment with electron beam for bioethanol production

Microbial contamination of the wort during the fermentation process causes significant losses in ethanol production worldwide and creates a dependence of the industry on chemicals and antibiotics to control contamination. Therefore, this study used electron beam (e-beam) to disinfect wort from sugarcane (Saccharum officinarum L.) molasses and investigate the bioethanol fermentation. Four treatments (T0 - T3) were carried out using ionizing doses of radiation through the electron accelerator: 0 (control), 10, 20, and 40 kGy. Total mesophiles, total bacteria, sucrose, glucose, fructose, phenolics, flavonoids, hydroxymethylfurfural (5-HMF), and Furfural were measured. An alcoholic fermentation assay was performed after the irradiation process. The irradiated treatments showed no inversion of sugars and formation of the inhibitory by-products flavonoids, furfural and 5-HMF, except for the phenolic compounds. The lower dose tested (10 kGy) reduced more than 99.9 % of the total mesophiles and more than 99.99 % of the total bacteria in the substrate. In the fermentation, the irradiated worts presented similar (p > 0.05) yields (92, 93, and 94 %) and ethanol productivity levels (0.89, 0.88, and 0.87 g L-1 h-1, for T1, T2, and T3 respectively). However, all treatments presented higher yields and productivity (p < 0.05) when compared to the control (88 % and 0.85 g L-1 h-1), highlighting the possible use of e-beam in wort fermentation at a lower dose (10 kGy). This allows reduction in losses caused by microbial contamination, besides increasing fermentation yield and productivity with lower energy consumption.(AU)

Using wild yeasts to modulate the aroma profile of low-alcoholic meads.

In recent years, ample research has focused on applying wild (especially non-Saccharomyces) yeasts in producing alcoholic beverages. Common characteristics of wild yeast strains include simultaneous high production of fruity and floral aroma compounds and low ethanol production. In this study, mead starter cultures were selected based on preliminary screening of wild yeast strains from a Brazilian culture collection (n = 63) for their ability to produce aroma-active compounds. The selected strains included one strain of Saccharomyces cerevisiae and three non-Saccharomyces strains (Pichia jadinii, Torulaspora delbrueckii, and Kluyveromyces lactis). These strains were used to ferment honey must prepared with Aroeira honey, adjusted to 24°Brix, which took 36 days to complete. Single culture fermentations and co-fermentations with S. cerevisiae and non-Saccharomyces strains were carried out. The quality of the produced beverages was evaluated by sugar consumption and production of alcohols and organic acids, analyzed with high-performance liquid chromatography. The volatile organic compound composition was analyzed with gas chromatography-mass spectrometry. Meads with various ethanol amounts (4.7-11.0% v/v) and residual sugar contents (70.81-160.25 g l-1) were produced. In addition, in both single-strain fermentation and co-fermentation with S. cerevisiae, meads produced with either Torulaspora delbrueckii or Kluyveromyces lactis had a roughly three-fold higher content of honey-aroma compound phenethyl acetate and a higher hedonic impression score than meads produced with only S. cerevisiae. These results demonstrated non-Saccharomyces yeasts' ability to increase aroma complexity and improve the sensory quality of low-alcoholic meads.

Ethanol yield calculations in biorefineries.

The ethanol yield on sugar during alcoholic fermentation allows for diverse interpretation in academia and industry. There are several different ways to calculate this parameter, which is the most important one in this industrial bioprocess and the one that should be maximized, as reported by Pereira, Rodrigues, Sonego, Cruz and Badino (A new methodology to calculate the ethanol fermentation efficiency at bench and industrial scales. Ind Eng Chem Res 2018; 57: 16182-91). On the one hand, the various methods currently employed in industry provide dissimilar results, and recent evidence shows that yield has been consistently overestimated in Brazilian sugarcane biorefineries. On the other hand, in academia, researchers often lack information on all the intricate aspects involved in calculating the ethanol yield in industry. Here, we comment on these two aspects, using fuel ethanol production from sugarcane in Brazilian biorefineries as an example, and taking the work of Pereira, Rodrigues, Sonego, Cruz and Badino (A new methodology to calculate the ethanol fermentation efficiency at bench and industrial scales. Ind Eng Chem Res 2018; 57: 16182-91.) as a starting point. Our work is an attempt to demystify some common beliefs and to foster closer interaction between academic and industrial professionals from the fermentation sector. Pereira, Rodrigues, Sonego, Cruz and Badino (A new methodology to calculate the ethanol fermentation efficiency at bench and industrial scales. Ind Eng Chem Res 2018; 57: 16182-91).

Fermentación alcohólica por Saccharomyces cerevisiae y cuantificación de flavonoides del zumo de Citrus x clementina (naranja)

Objetivo: elaborar una bebida por fermentación alcohólica y la cuantificación de flavonoides del zumo de Citrus x clementina (naranja). Metodología: se utilizó el método de fermentación alcohólica por levadura de la variedad Saccharomyces cerevisiae, se fermento el jugo de naranja con una densidad de 1,050 glcm3 por 5 semanas y se cuantificó los flavonoides de la bebida alcohólica por el método de cromatografía HPLC. Resultados: después de las 5 semanas se analizó que la bebida por fermentación alcohólica tuvo un 11 % de alcohol y flavonoides de hesperidina 13,9 mgl100 ml y naringenina 6,3 mg/100 ml en su concentración.

SUMMARY Aim: to elaborate a drink by alcoholic fermentation and the quantification of flavonoids in Citrus x clementine (orange) juice. Methodology: the method of alcoholic fermentation by yeast of the Saccharomyces cerevisiae variety was used, the orange juice was fermented with a density of 1.050 glcm3 for 5 weeks and the flavonoids of the alcoholic beverage were quantified by the HPLC chromatography method. Results: after 5 weeks it was analyzed that the drink by alcoholic fermentation had 11 % alcohol and hesperidin flavonoids 13.9 mgl100 ml and 6.3 mg/100 ml naringenin in its concentration.

Objetivo: elaborar uma bebida por fermentação alcoólica e quantificação de flavonóides no suco Citrus x clementina (laranja). Metodologia: foi utilizado o método de fermentação alcoólica por levedura da variedade Saccharomyces cerevisiae, o suco de laranja foi fermentado com densidade de 1,050 glcm3 por 5 semanas e os flavonóides da bebida alcoólica foram quantificados pelo método de cromatografía HPLC. Resultados: após 5 semanas foi analisado que a bebida por fermentação alcoólica continha álcool a 11 % e flavonóides de hesperidina 13,9 mgl100 ml e 6,3 mg/100 ml naringenina em sua concentração.

Saccharomyces cerevisiae strains used industrially for bioethanol production.

Fuel ethanol is produced by the yeast Saccharomyces cerevisiae mainly from corn starch in the United States and from sugarcane sucrose in Brazil, which together manufacture ∼85% of a global yearly production of 109.8 million m3 (in 2019). While in North America genetically engineered (GE) strains account for ∼80% of the ethanol produced, including strains that express amylases and are engineered to produce higher ethanol yields; in South America, mostly (>90%) non-GE strains are used in ethanol production, primarily as starters in non-aseptic fermentation systems with cell recycling. In spite of intensive research exploring lignocellulosic ethanol (or second generation ethanol), this option still accounts for <1% of global ethanol production. In this mini-review, we describe the main aspects of fuel ethanol production, emphasizing bioprocesses operating in North America and Brazil. We list and describe the main properties of several commercial yeast products (i.e., yeast strains) that are available worldwide to bioethanol producers, including GE strains with their respective genetic modifications. We also discuss recent studies that have started to shed light on the genes and traits that are important for the persistence and dominance of yeast strains in the non-aseptic process in Brazil. While Brazilian bioethanol yeast strains originated from a historical process of domestication for sugarcane fermentation, leading to a unique group with significant economic applications, in U.S.A., guided selection, breeding and genetic engineering approaches have driven the generation of new yeast products for the market.

Machine learning applied for metabolic flux-based control of micro-aerated fermentations in bioreactors.

Various bio-based processes depend on controlled micro-aerobic conditions to achieve a satisfactory product yield. However, the limiting oxygen concentration varies according to the micro-organism employed, while for industrial applications, there is no cost-effective way of measuring it at low levels. This study proposes a machine learning procedure within a metabolic flux-based control strategy (SUPERSYS_MCU) to address this issue. The control strategy used simulations of a genome-scale metabolic model to generate a surrogate model in the form of an artificial neural network, to be used in a micro-aerobic fermentation strategy (MF-ANN). The meta-model provided setpoints to the controller, allowing adjustment of the inlet air flow to control the oxygen uptake rate. The strategy was evaluated in micro-aerobic batch cultures employing industrial Saccharomyces cerevisiae yeast, with defined medium and glucose as the carbon source, as a case study. The performance of the proposed control scheme was compared with a conventional fermentation and with three previously reported micro-aeration strategies, including respiratory quotient-based control and constant air flow rate. Due to maintenance of the oxidative balance at the anaerobiosis threshold, the MF-ANN provided volumetric ethanol productivity of 4.16 g·L-1 ·h-1 and a yield of 0.48 gethanol .gsubstrate-1 , which were higher than the values achieved for the other conditions studied (maximum of 3.4 g·L-1 ·h-1 and 0.35-0.40 gethanol ·gsubstrate-1 , respectively). Due to its modular character, the MF-ANN strategy could be adapted to other micro-aerated bioprocesses.

Ethanol determination in fermented sugarcane substrates by a diffusive micro-distillation device.

The determination of ethanol in fermented substrates is an important parameter for monitoring the production of distilled beverage samples. The correct measurement of its content has a direct impact on the profitability of the process. In this work, a diffusive micro-distillation device (DMDD) is proposed that allows the determination of ethanol directly in the fermented or distilled beverages samples. The DMDD consists of a 5 mL plastic test tube containing a reagent solution of potassium dichromate and sulfuric acid, inserted into another 50 mL polyethylene tube containing the sample. This set is heated in a water bath for 15 min at 80 °C, providing the ethanol diffusion, which reacts with the receptor solution contained in the test tube. The chromium (III) produced by the oxidation reaction, is spectrophotometrically quantified at 589 nm. The proposed procedure has a linear range between 1 and 12% (v/v) with R2 = 0.999 and RSD = 3.8% and results in agreement with those obtained by the distillation-densitometry official method.

Chemical and sensory features of Torrontés Riojano sparkling wines produced by second fermentation in bottle using different Saccharomyces strains.

Chemical and sensory properties of Torrontés Riojano sparkling wines, prepared using second fermentation with Saccharomyces strains EC1118, bayanus C12 and IFI473I, were explored. All sparkling wines showed high levels of several volatile ethyl esters and terpenes associated to fruity and floral aromas. The sensory profiles showed significant differences for the floral aroma descriptor among EC1118, bayanus C12 and IFI473I and for bubble persistence for strain bayanus C12. Our results suggest that the sensory properties of these sparkling wines could be dependent on the chemical and organoleptic properties of the base wine more than the yeast strain used for second fermentation.

Feasibility of bioethanol production from rice bran / Viabilidade da produção de bioetanol a partir do farelo de arroz

Rice bran is a by-product of rice production with a high carbohydrate and starch content and the potential for bioethanol production by alcoholic fermentation. This article describes bioethanol production by Saccharomyces cerevisiae from hydrolyzed defatted rice bran (DRB) a rice by-product applying ultrasonic treatment and protease addition, as well as a sequential strategy of experimental design (SEED). In the first Central Composite Rotatable Design (CCRD), the temperature (25-30 °C) and inoculum concentration (0.5-50 g L-¹) had positive effects on bioethanol production, while the effect of pH (4.0-6.0) was not significant. In the second CCRD, the temperature (28-35 °C) and inoculum concentration (10-70 g L-¹) had negative and positive effects on bioethanol production (p< 0.05). Protease addition (15 µL g-¹) increased the conversion of substrate into bioethanol by 76%. The optimized conditions for the production of 40.7 g L-¹ bioethanol were a temperature of 31.5 °C and an inoculum concentration of 70 g L-¹. Validation in a benchtop bioreactor produced 40.0 g L-¹ of bioethanol from hydrolyzed DRB, and the SEED was characterized as a useful tool to improve bioethanol production from DRB. Furthermore, the DRB proved to be a by-product with great potential for bioethanol production, derived from alternative sources not commonly used in human food.(AU)

O farelo de arroz é um subproduto com alto teor de carboidratos e amido, com potencial para produção de bioetanol por fermentação alcoólica. O presente artigo descreve a produção de bioetanol pela ação da Saccharomyces cerevisiae no farelo de arroz desengordurado hidrolisado (DRB) - um subproduto do arroz - com a aplicação do tratamento ultrassônico e adição de protease, e estratégia sequencial de planejamento experimental (SEED). No primeiro Delineamento Composto Central Rotacional (CCRD), a temperatura (25-30 °C) e a concentração de inóculo (0,5-50 g L-¹) tiveram efeitos positivos na produção de bioetanol, enquanto o pH (4,0-6,0) não foi significativo. No segundo CCRD, a temperatura (28-35 °C) e a concentração do inóculo (10-70 g L-¹) tiveram efeitos negativo e positivo, respectivamente, na produção de bioetanol (p < 0,05). A adição de protease (15 µL g-¹) aumentou a conversão do substrato em bioetanol em 76%. Na temperatura de 31,5 °C e concentração de inóculo de 70 g L-¹ obteve-se a condição otimizada para produção de bioetanol, com a produção de 40,7 g L-¹. Na validação, realizada em um fermentador de bancada, foram produzidos 40,0 g L-¹ de bioetanol a partir de DRB hidrolisado; e o SEED foi caracterizado como uma ferramenta útil para otimizar a produção de bioetanol a partir de DRB. Além disso, o DRB provou ser um subproduto com grande potencial para a produção de bioetanol, derivado de fontes alternativas normalmente não utilizadas na alimentação humana.(AU)

Feasibility of bioethanol production from rice bran / Viabilidade da produção de bioetanol a partir do farelo de arroz

Rice bran is a by-product of rice production with a high carbohydrate and starch content and the potential for bioethanol production by alcoholic fermentation. This article describes bioethanol production by Saccharomyces cerevisiae from hydrolyzed defatted rice bran (DRB) a rice by-product applying ultrasonic treatment and protease addition, as well as a sequential strategy of experimental design (SEED). In the first Central Composite Rotatable Design (CCRD), the temperature (25-30 °C) and inoculum concentration (0.5-50 g L-¹) had positive effects on bioethanol production, while the effect of pH (4.0-6.0) was not significant. In the second CCRD, the temperature (28-35 °C) and inoculum concentration (10-70 g L-¹) had negative and positive effects on bioethanol production (p< 0.05). Protease addition (15 µL g-¹) increased the conversion of substrate into bioethanol by 76%. The optimized conditions for the production of 40.7 g L-¹ bioethanol were a temperature of 31.5 °C and an inoculum concentration of 70 g L-¹. Validation in a benchtop bioreactor produced 40.0 g L-¹ of bioethanol from hydrolyzed DRB, and the SEED was characterized as a useful tool to improve bioethanol production from DRB. Furthermore, the DRB proved to be a by-product with great potential for bioethanol production, derived from alternative sources not commonly used in human food.

O farelo de arroz é um subproduto com alto teor de carboidratos e amido, com potencial para produção de bioetanol por fermentação alcoólica. O presente artigo descreve a produção de bioetanol pela ação da Saccharomyces cerevisiae no farelo de arroz desengordurado hidrolisado (DRB) - um subproduto do arroz - com a aplicação do tratamento ultrassônico e adição de protease, e estratégia sequencial de planejamento experimental (SEED). No primeiro Delineamento Composto Central Rotacional (CCRD), a temperatura (25-30 °C) e a concentração de inóculo (0,5-50 g L-¹) tiveram efeitos positivos na produção de bioetanol, enquanto o pH (4,0-6,0) não foi significativo. No segundo CCRD, a temperatura (28-35 °C) e a concentração do inóculo (10-70 g L-¹) tiveram efeitos negativo e positivo, respectivamente, na produção de bioetanol (p < 0,05). A adição de protease (15 µL g-¹) aumentou a conversão do substrato em bioetanol em 76%. Na temperatura de 31,5 °C e concentração de inóculo de 70 g L-¹ obteve-se a condição otimizada para produção de bioetanol, com a produção de 40,7 g L-¹. Na validação, realizada em um fermentador de bancada, foram produzidos 40,0 g L-¹ de bioetanol a partir de DRB hidrolisado; e o SEED foi caracterizado como uma ferramenta útil para otimizar a produção de bioetanol a partir de DRB. Além disso, o DRB provou ser um subproduto com grande potencial para a produção de bioetanol, derivado de fontes alternativas normalmente não utilizadas na alimentação humana.

Metabolic fluxes-oriented control of bioreactors: a novel approach to tune micro-aeration and substrate feeding in fermentations.

BACKGROUND: Fine-tuning the aeration for cultivations when oxygen-limited conditions are demanded (such as the production of vaccines, isobutanol, 2-3 butanediol, acetone, and bioethanol) is still a challenge in the area of bioreactor automation and advanced control. In this work, an innovative control strategy based on metabolic fluxes was implemented and evaluated in a case study: micro-aerated ethanol fermentation. RESULTS: The experiments were carried out in fed-batch mode, using commercial Saccharomyces cerevisiae, defined medium, and glucose as carbon source. Simulations of a genome-scale metabolic model for Saccharomyces cerevisiae were used to identify the range of oxygen and substrate fluxes that would maximize ethanol fluxes. Oxygen supply and feed flow rate were manipulated to control oxygen and substrate fluxes, as well as the respiratory quotient (RQ). The performance of the controlled cultivation was compared to two other fermentation strategies: a conventional "Brazilian fuel-ethanol plant" fermentation and a strictly anaerobic fermentation (with ultra-pure nitrogen used as the inlet gas). The cultivation carried out under the proposed control strategy showed the best average volumetric ethanol productivity (7.0 g L-1 h-1), with a final ethanol concentration of 87 g L-1 and yield of 0.46 gethanol g substrate -1 . The other fermentation strategies showed lower yields (close to 0.40 gethanol g substrate -1 ) and ethanol productivity around 4.0 g L-1 h-1. CONCLUSION: The control system based on fluxes was successfully implemented. The proposed approach could also be adapted to control several bioprocesses that require restrict aeration.

Beer Molecules and Its Sensory and Biological Properties: A Review.

The production and consumption of beer plays a significant role in the social, political, and economic activities of many societies. During brewing fermentation step, many volatile and phenolic compounds are produced. They bring several organoleptic characteristics to beer and also provide an identity for regional producers. In this review, the beer compounds synthesis, and their role in the chemical and sensory properties of craft beers, and potential health benefits are described. This review also describes the importance of fermentation for the brewing process, since alcohol and many volatile esters are produced and metabolized in this step, thus requiring strict control. Phenolic compounds are also present in beer and are important for human health since it was proved that many of them have antitumor and antioxidant activities, which provides valuable data for moderate dietary beer inclusion studies.

Interaction between the production of ethanol and glycerol in fed-batch bioreactors.

During alcoholic fermentation, most of the substrates supplied to the yeasts are converted into ethanol and carbon dioxide generating energy for cell maintenance. However, some of these substrates end up being diverted to other metabolic pathways generating by-products reducing the yield in ethanol production. Glycerol is the most important by-product quantitatively, and its production during fermentation is associated to the production of ethanol. The present study was carried out at a full scale in an industrial fermentation plant applied to sugar cane industry with bioreactors operated in fed-batch mode. Varying levels of the operating factors feeding time, temperature, and concentration of yeast were used in order to verify the interaction between ethanol and glycerol in the fermentative kinetics and how these factors can be optimized to increase ethanol production with reduced carbon losses during the formation of other products. The results obtained indicated that glycerol production is linearly associated with ethanol production and that this correlation is influenced by the process conditions. Feeding time had a significant effect and was inversely proportional to the glycerol/ethanol production ratio. Therefore, it can be said that a moderate feeding rate can reduce the production of glycerol in relation to the ethanol produced reducing losses and increasing the fermentation yield.

Lactobacillus plantarum as a malolactic starter culture in winemaking: a new (old) player?

Malolactic fermentation (MLF) is a process in winemaking responsible for the conversion of L-malic acid to L-lactic acid and CO2, which reduces the total acidity, improves the biological stability, and modifies the aroma profile of wine. MLF takes place during or after alcoholic fermentation and is carried out by one or more species of lactic acid bacteria (LAB), which are either present in grapes and cellars or inoculated with malolactic starters during the winemaking process. Although the main bacterium among LAB used in commercial starter cultures for MLF has traditionally been Oenococcus oeni, in the last decade, Lactobacillus plantarum has also been reported as a malolactic starter, and many works have shown that this species can survive and even grow under harsh conditions of wine (i.e., high ethanol content and low pH values). Furthermore, it has been proved that some strains of L. plantarum are able to conduct MLF just as efficiently as O. oeni. In addition, L. plantarum exhibits a more diverse enzymatic profile than O. oeni, which could play an important role in the modification of the wine aroma profile. This enzymatic diversity allows obtaining several starter cultures composed of different L. plantarum biotypes, which could result in distinctive wines. In this context, this review focuses on showing the relevance of L. plantarum as a MLF starter culture in winemaking.