Multivariable logistic regression models were constructed to dete

Multivariable logistic regression models were constructed to determine the relationship between shedding of the bacterium and specific ribotypes and the independent variables: time of sampling and area of housing.\n\nCalves were twice more likely to test positive 1 week after arrival (51%) when compared to initial results (32%). Shedding at 17 and 21 weeks was significantly

lower (2% at both samplings). Ribotype 078 was the most common. Twelve different ribotypes were present initially with only three ribotypes found subsequently. Seventy-six percent (40/53) of isolates initially recovered were tetracycline resistant compared to 93% (81/87) from 2nd sampling. Tetracycline resistance genes were detected in 24% (13/53) of isolates during 1st and in 55% (50/91) during 2nd sampling.\n\nThe high prevalence of pathogenic C difficile in veal calves could be of zoonotic concern. The low prevalence before slaughter may be of importance learn more for the evaluation of foodborne risks. Oxytetracycline administration to calves may have an impact on prevalence of C. difficile colonization. (C) 2011 Elsevier B.V. All rights reserved.”
“A novel inverse CeO2/CuO catalyst for preferential oxidation

of CO in H-2-rich stream (CO-PROX) has been developed on the basis of a hypothesis extracted from previous work of the group (JACS 2007, 129, 12064). Possible separation of the two competing oxidation reactions involved in the process (of CO and H-2, respectively) is the AZD9291 key to modulation of overall CO-PROX activity and is based on involvement

of different sites as most active ones for each of the two reactions. Achievement of large size CuO particles and adequate CeO2-CuO interfacial configurations in the inverse catalyst apparently allows appreciable enhancement of the catalytic properties of this kind of system for CO-PROX, constituting an interesting alternative to classic direct configurations so far explored for this process. Reasons for such behavior are analyzed on the basis of operando-XRD, -XAFS, and -DRIFTS studies.”
“The aim of this paper is to assess the biodegradation of phenanthrene by Flavobacteria FCN2 which was isolated from coke plant sludge via a classical shaken liquid medium enrichment method. The strain FCN2 can decompose phenanthrene (50 mg l(-1)) completely within 5 days. The values of pH decrease to 6.7 from 7.2 during degradation periods. And a detailed phenanthrene metabolism was assayed by using FTIR, UV and GC-MS. For FTIR, appearance of new broad absorption bands at 2858cm(-1), 2927cm(-1), 2955cm(-1) and another new strong absorption band at 1734cm(-1) in metabolites demonstrates that carboxyl group produced during phenanthrene degradation. Besides this, a very strong absorption band appears at 1260cm(-1). It is ascribed to C-C stretching vibration band in carbonyl group of arone. Two weak adsorption at 334 nm and 349 nm in UV spectra were assigned to the n-pi* transition of C=O of aldehyde.

Comments are closed.