In this work, we propose a Mixed Integer Nonlinear Programming (MINLP) model to determine the optimal design of a poly(hydroxyalkanoate)s (PHAs) production plant configuration. The superstructure based optimization model considers different carbon sources as raw material: glycerol (crude and purified), corn starch, cassava starch, sugarcane sucrose and sugarcane molasses. The PHA extraction section includes four alternatives: the use of enzyme, solvent, surfactant-NaOCl or surfactant-chelate. Model constraints include detailed capital cost for equipment, mass and energy balances, product specifications and operating bounds on process units. The resulting MINLP model maximizes the project net present value (NPV) as objective function and it is implemented in an equation oriented environment. Optimization results show the sugarcane-enzyme option as the most promising alternative (NPV = 75.01 million USD) for PHAs production with an energy consumption of 22.56 MJ/kg PHA and a production cost of 3.02 US$/kg PHA. Furthermore, an economic sensitivity analysis is performed.

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Poly(hydroxybutyrate-co-hydroxyvalerate) (P(HB-co-HV)) is a prominent biopolymer as a potential candidate for use in the biomedical area. Several Bacillus spp. strains show promising characteristics in the use of several carbon sources and are an interesting alternative for the production of P(HB-co-HV). Sewage from the agricultural and food processing industries can be used to obtain abundantly starch as a carbon source for PHA production. The aim of the present study was to optimize by response surface methodology and desirability, the production of PHA by a Bacillus megaterium strain using starch as the sole carbon source. Two optimal conditions were determined without sporulation and were used to perform new experiments to calibrate and validate a mechanistic model, developed to simulate the dynamics of PHA and biomass production. The developed model successfully represents the kinetics of the microorganism. Employing different characterization techniques, it was determined that the PHA produced by the strain is a copolymer composed of different HB:HV proportions. Using starch as the sole carbon source in a minimal salt medium, this work shows the first reports in the literature of: 1) a mathematical model for predicting growth kinetic and PHA production for B. megaterium strain and 2) a Bacillus spp. producing P(HB-co-HV) copolymer.

Many papers have reported that chronic hypercalcemia induced either by large doses of vitamin D or by the administration of calcium or parathormone, produces hypertrophy and hyperplasia of C cells. However, more recent studies suggest that the effect of elevated calcium or 1.25(OH)2D3 concentration on the production of calcitonin may be more complex than previously suspected. To assess the validity of such a response an experimental model, where hypercalcemia was induced with vitamin D3 overdose, was designed. Male Wistar rats were administered vitamin D3 chronically (50,000 IU per 100 ml of drinking water with or without CaCl2). Serum calcium and calcitonin levels were determined. C cells were stained by immunohistochemistry using calcitonin and neuronal specific enolase (NSE) antibodies and their percentage was calculated by a morphometric analysis. We also investigated the ultrastructural characteristic of the C cells under experimental conditions. C cells did not have a proliferative response rather a decrease in their number was observed after 1 month of treatment with 25,000 IU of vitamin D3 (1.55 vs 2.43% in control animals) and 3 months with vitamin plus CaCl2 (2.27% vs 3.62% in control animals). In addition, no significant changes in serum calcitonin levels were observed during the experimental period. We conclude that rat C cells do not respond with hypertrophic and hyperplastic changes in a hypercalcemic state due to an intoxication with vitamin D3.

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