New insights on dimethylaminoethanol (DMAE) features as a free radical scavenger.

Recently, a number of synthetic drugs used in a variety of therapeutic indications have been reported to have antiaging effects. Among them, Dimethylaminoethanol (DMAE), an anologue of dietylaminoethanol, is a precursor of choline, which in turn allows the brain to optimize the production of acetylcholine that is a primary neurotransmitter involved in learning and memory. The data presented here includes new information on the ability of the compound to scavenge specific free radicals, assessed by Electron Spectroscopic Resonance (EPR), to further analyze the role of DMAE as an antioxidant. DMAE ability to directly react with hydroxyl, ascorbyl and lipid radicals was tested employing in vitro assays, and related to the supplemented dose of the compound.

Application of response surface methodology and artificial neural networks for optimization of recombinant Oryza sativa non-symbiotic hemoglobin 1 production by Escherichia coli in medium containing byproduct glycerol.

Production of recombinant Oryza sativa non-symbiotic hemoglobin 1 (OsHb1) by Escherichia coli was maximized in shake-flask cultures in media containing tryptone, yeast extract, sodium chloride and byproduct glycerol from biodiesel production. Response surface methodology (RSM) and artificial neural networks (ANNs), followed by multiple response optimization through a desirability function were applied to evaluate the amount of OsHb1 produced. The results obtained by the application of ANNs were more reliable since better statistical parameters were obtained. The optimal conditions were (gL(-1)), tryptone, 42.69; yeast extract, 20.11; sodium chloride, 17.77; and byproduct glycerol, 0.33. A maximum recombinant protein concentration of 3.50gL(-1) and a minimum biomass concentration of 18.48gL(-1) were obtained under these conditions. Although the concentrations of tryptone, yeast extract and sodium chloride are relatively high, the increase in the yield with respect to biomass formed (Y(P/X)) overcomes this disadvantage.

Application of response surface methodology and artificial neural networks for optimization of recombinant Oryza sativa non-symbiotic hemoglobin 1 production by Escherichia coli in medium containing byproduct glycerol.

Production of recombinant Oryza sativa non-symbiotic hemoglobin 1 (OsHb1) by Escherichia coli was maximized in shake-flask cultures in media containing tryptone, yeast extract, sodium chloride and byproduct glycerol from biodiesel production. Response surface methodology (RSM) and artificial neural networks (ANNs), followed by multiple response optimization through a desirability function were applied to evaluate the amount of OsHb1 produced. The results obtained by the application of ANNs were more reliable since better statistical parameters were obtained. The optimal conditions were (g L(-1)), tryptone, 42.69; yeast extract, 20.11; sodium chloride, 17.77; and byproduct glycerol, 0.33. A maximum recombinant protein concentration of 3.50 g L(-1) and a minimum biomass concentration of 18.48 g L(-1) were obtained under these conditions. Although the concentrations of tryptone, yeast extract and sodium chloride are relatively high, the increase in the yield with respect to biomass formed (Y(P/X)) overcomes this disadvantage.