An electronic nose is described, which consists of a gas sensor array combined with a pattern recognition routine. The sensor array used consists of ten metal-oxide-semiconductor field effect transistors with gates of catalytically active metals. It also contains four commercially available chemical sensors based on tin dioxide, so-called Taguchi sensors. In some studies, a carbon dioxide monitor based on infrared absorption is also used. Samples of ground beef and pork, stored in a refrigerator, have been studied. Gas samples from the meat were then led to the sensor array, and t h e resulting patterns of sensor signats were treated with pattem recognition software based on an artificial neural network as well as with an algorithm based on an abductory induction mechanism. When using all sensors for learning, the two nets could predict both type of meat and storage time quite well. Omitting the carbon dioxide monitor, both nets could predict type of meat, but storage time not so well. Finally, it is also shown how a net based on unsupervised training could be used to predict storage time for ground beef.
The effects of imipenem on the growth of Escherichia coli ATCC 25922 were studied using a bioluminescence assay of bacterial ATP, microscopy and viable counting in iso-osmotic Mueller-Hinton broth (MHB) and hypo-osmotic nutrient broth (NB). Imipenem showed a post-antibiotic effect (PAE) of > 2 h for E. coli in both MHB and NB after 2 h exposure to 1 and 8 mg/L of imipenem when determined by bioluminescence and microscopy. The intracellular ATP level increased after 2 h exposure of E. coli to 1 mg/L of imipenem in MHB. In this culture there was a predominance of spheroplasts. These spheroplasts were large and osmotically fragile and a 10 min treatment in water-diluted MHB (hypo-osmotic) prior to the assays lysed the large spheroplasts. This reduced the intracellular ATP level and shortened the PAE when determined by bioluminescence, and caused more rapid initial killing and a negative PAE when determined by viable counting. At 8 mg/L imipenem in MHB and at all concentrations in NB there was a predominance of rods and only a small number of spheroplasts which all disappeared when the cultures resumed logarithmic growth. In these cultures there was a significant initial decrease in intracellular ATP. This study showed reasonable agreement between microscopy and bioluminescence, which are direct methods, for determining the initial killing and PAE of imipenem on E. coli. More rapid initial killing and shorter or no PAEs, were in general, obtained in both MHB and NB when determined by viable counting. However, the effective regrowth time, defined as the time for the bacterial density to increase 1 log10 from the pre-exposure inoculum, was independent of the method used for measuring regrowth in both MHB and NB.
A stable titanium-peroxy-radical complex is formed when metallic titanium interacts with hydrogen peroxide. The radical appears as one component in an aqueous gel formed when excess peroxides have been (catalytically) decomposed. The interaction between titanium and hydrogen peroxide may be of importance also in vivo during an inflammatory response at the implant. We report in this paper on the bactericidal effects of the titanium gel in the lacto- and myeloperoxidase-halogen systems. Escherichia coli viable count was used to evaluate the bactericidal properties of the gel and of H2O2 for comparison. The gel had only small or no toxic properties at high dilutions. Higher concentrations of the gel had bactericidal properties similar to those of H2O2. The results indicate that at physiological pH, the decomposition products of the gel ae titanium hydroxide (Ti(IV)(OH-)4) and hydrogen peroxide (H2O2). It was found that the gel probably oxidizes glutathione directly in contrast to H2O2, which needs a peroxidase to do so. A model for the interaction between titanium and hydrogen peroxide is suggested. Its consequences for the properties of titanium in vivo are also discussed.
The laminate consisted of several polymer layers, aluminium, and one cellulose-based layer containing the active enzymatic system (e.g., glucose oxidase, catalase, glucose, and CaCO3). During the industrial lamination process, the enzyme layer was exposed to three temperature spikes up to 325 degrees C without significant enzyme inactivation. Ninety-seven percent of the glucose oxidase activity still remained after the lamination process. The best laminate had an oxygen absorbing capacity of 7.6 +/- 1.0 L/m2. A reference that was not laminated expressed a corresponding oxygen absorbing capacity of 7.1 +/- 0.8 L/m2.
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