Improved 1,3-propanediol production with maintained physical conditions and optimized media composition: Validation with statistical and neural approach

Microbial itaconic acid production from starchy food waste by newly isolated thermotolerant Aspergillus terreus strain

In the present study, we have explored the potential of newly isolated Aspergillus terreus BD strain, which can accumulate itaconic acid (IA) at higher temperature. The shake flask cultivation of thermotolerant strain with medium optimized using Box-Behnken Design at 45 °C resulted in IA accumulation of 28.9 g/L with yield of 0.27 g/g. The enzymatic saccharification of the synthetic food waste (SFW) consisting of potatoes, rice & noodles were optimized using Taguchi method of orthogonal array to maximize the release of fermentable sugar. The maximum glucose release of 0.60 g/g was achieved with 10% biomass loading, 5% enzyme concentration, pH 5.5 and temperature 60 ⁰C. The sugars obtained from SFW was integrated with IA production and maximum IA titer achieved with SFW hydrolysate during bioreactor cultivation was 41.1 g/L with conversion yield of 0.27 g/g while with pure glucose IA titer and yield were 44.7 g/L and 0.30 g/g, respectively.

Evaluation of 1,3-propanediol production by twoCitrobacter freundiistrains using crude glycerol and soybean cake hydrolysate

Biodiesel production processes using soybean as feedstock generates soybean cake and crude glycerol as by-products. These by-product streams were used as sole feedstocks for the production of 1,3-propanediol (PDO) using two bacterial strains of Citrobacter freundii. Soybean cake has been converted into a nutrient-rich hydrolysate by crude enzymes produced via solid state fermentation. The effect of initial glycerol and free amino nitrogen concentration on bacterial growth and PDO production has been evaluated in batch bioreactor cultures showing that C. freundii VK-19 is a more efficient PDO producer than C. freundii FMCC-8. The cultivation of C. freundii VK-19 in fed-batch bioreactor cultures using crude glycerol and soybean cake hydrolysates led to PDO concentration of 47.4 g/L with yield and productivity of 0.49 g/g and 1.01 g/L/h, respectively. The effect of PDO, metabolic by-products, and sodium and potassium salts on bacterial growth was evaluated showing that potassium salts initially enhance bacterial growth, whereas sodium salts cause significant inhibition to bacterial growth. Soybean cake hydrolysate and crude glycerol could be utilized for PDO production, but the fermentation efficiency is influenced by the catalyst used during biodiesel production.

Increased biomass and lipid production of Ettlia sp. YC001 by optimized C and N sources in heterotrophic culture

The culture conditions and media composition for the heterotrophic culture of an axenic strain of Ettlia sp. YC001 were firstly optimized using the Plackett-Burman design (PBD) and response surface methodology (RSM). The strain successfully showed higher productivity in the basal media without any light illumination at 32.2 to 33.3 °C. The PBD results showed that the most effective components for biomass productivity of Ettlia sp. were fructose and yeast extract for sources of C and N, respectively. The RSM results showed an optimal level of 72.2 g/L for fructose and 21.5 g/L for yeast extract, resulting in 46.1 g/L biomass with a lipid content of 13.8% over a course of 9 days. Using a 5 L scaled-up fermentation system for 6 days, the production of biomass and lipids was 7.21 g/L/day and 1.18 g/L/day, respectively. Consequently, heterotrophic cultivation of Ettlia sp. YC001 provided much higher production of biomass and lipids than those of autotrophic cultivation. As further research, the use of substitute substrates instead of fructose and yeast extract should be developed to reduce production costs.

Prediction Models to Control Aging Time in Red Wine

A combination of physical-chemical analysis has been used to monitor the aging of red wines from D.O. Toro (Spain). The changes in the chemical composition of wines that occur over the aging time can be used to distinguish between wine samples collected after one, four, seven and ten months of aging. Different computational models were used to develop a good authenticity tool to certify wines. In this research, different models have been developed: Artificial Neural Network models (ANNs), Support Vector Machine (SVM) and Random Forest (RF) models. The results obtained for the ANN model developed with sigmoidal function in the output neuron and the RF model permit us to determine the aging time, with an average absolute percentage deviation below 1%, so it can be concluded that these two models have demonstrated their capacity to predict the age of wine.

An efficient aqueous two phase systems using dual inorganic electrolytes to separate 1,3-propanediol from the fermented broth

An aqueous two phase extraction using K₂CO₃:K₂HPO₄/Isoproponal was investigated for the recovery of 1,3-propanediol from the fermented broth. Initially, the concentration of K₂CO₃ on phase formation, the partition co-efficient and recovery of 1,3-PDO was evaluated with a optimum salt concentration of 60%. Later the partition co-efficient was improved using dual inorganic salts, K₂CO₃ and K₂HPO₄ with an optimum concentration of 45% and 15% respectively. Using Central Composite Design, pH and temperature on partition and recovery of 1,3-PDO was evaluated. With the optimized physical conditions and inorganic salts concentration, ATPS extraction was carried out in synthetic solution as well as fermented broth resulting in maximum 1,3-PDO partition co-efficient value of 42.46 and 56.93 and recovery yield of 97.69 and 98.27% respectively. A fair partition was observed with organic acids and 1,3-PDO, with removal of lactic acid and acetic acid up to 93.29 and 90.42% respectively.