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1.
Bioprocess Biosyst Eng ; 32(3): 381-8, 2009 Apr.
Article in English | MEDLINE | ID: mdl-18726617

ABSTRACT

Accurate monitoring and control of industrial bioprocess requires the knowledge of a great number of variables, being some of them not measurable with standard devices. To overcome this difficulty, software sensors can be used for on-line estimation of those variables and, therefore, its development is of paramount importance. An Asymptotic Observer was used for monitoring Escherichia coli fed-batch fermentations. Its performance was evaluated using simulated and experimental data. The results obtained showed that the observer was able to predict the biomass concentration profiles showing, however, less satisfactory results regarding the estimation of glucose and acetate concentrations. In comparison with the results obtained with an Extended Kalman Observer, the performance of the Asymptotic Observer in the fermentation monitoring was slightly better.


Subject(s)
Algorithms , Bioreactors/microbiology , Escherichia coli/metabolism , Glucose/metabolism , Models, Biological , Oxygen/metabolism , Software , Computer Simulation , Monitoring, Physiologic/methods
2.
J Dairy Sci ; 89(7): 2397-407, 2006 Jul.
Article in English | MEDLINE | ID: mdl-16772555

ABSTRACT

Terrincho cheese is an uncooked, pressed cheese made from raw whole ovine milk from the "Churra da Terra Quente" breed. It requires a minimum ripening time of 30 d. A detailed evaluation of the effect of ripening time on the breakdown of the casein fractions, along with the formation of major breakdown products of casein hydrolysis, was monitored by HPLC to contribute to a more complete characterization of this product. In 30-d-old cheeses, only 20% of alpha(S1)-casein remained intact; the beta-casein fraction was more resistant to hydrolysis. The ripening time of Terrincho cheese can be predicted using 2 variables of normalized peak areas of alpha(S1)-casein and alpha(S1)-I peptide, and a constant; the estimation error is 2.5 d. The pH 4.3-insoluble fraction of Terrincho and cheeses manufactured with bovine milk and with ovine milk combined with 2 levels of bovine milk (10 and 20%) revealed different chromatographic and electrophoretic profiles, especially the alpha(S1)-casein fraction. Similar proteolysis progress was observed, particularly in the percentage of casein fraction degradation. However, using both analytical methods, the detection of 10% bovine milk at 30 d of ripening was no longer possible as result of alpha(S1)-casein hydrolysis. The discriminate analysis applied to HPLC data indicated that at 30 d of ripening, differences between the casein fractions of Terrincho cheese and mixture cheeses were mainly from beta1-casein content. The function thus obtained was able to correctly classify all the samples according to cheese type. Using the descriptive sensory profile, Terrincho cheese at 30 d of ripening could be distinguished from bovine and mixture cheeses owing to its higher fracturability and adhesiveness and lower elasticity and hardness, which correlated with its lower total casein content.


Subject(s)
Caseins/analysis , Caseins/metabolism , Cattle , Cheese/analysis , Sheep , Animals , Chromatography, High Pressure Liquid , Electrophoresis, Polyacrylamide Gel , Female , Food Handling/methods , Humans , Hydrogen-Ion Concentration , Hydrolysis , Male , Odorants/analysis , Regression Analysis , Sensation , Smell , Taste , Time Factors , Urea
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