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However, solar pasteurization shows promise for inactivating microorganisms at different temperatures.
These wastewaters contain both soluble (S) and particulate (X) organic load that are assimilated by microorganisms at different rates.
The honey collected during the dry season showed higher activity, inhibiting five out of six microorganisms, at different dilution rates.
While several computational methods exist for phylogenetic analysis of metagenomic samples, each method can identify microorganisms at different levels in the taxonomical hierarchy.
ether, and chloroform fractions of C. bonducella possess better antimicrobial activities against certain microorganisms at different doses, but all samples demonstrated significant inhibition of diarrhoea in rat against castor oil-induced defecation.
The number of patients with different concentrations of microorganisms at different endpoints is presented in Figures 2 and 3. P > 0.2 for all comparisons (antibiotic versus no antibiotic treatment).
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Table 1 includes the averages and the standard deviations of the model parameters (Kmax and Sl), expressed in time terms, obtained from the fitting of the UV-H survival curves of all microorganisms tested at different temperatures.
The results indicated that out of 18 plants, 10 plants exhibited antimicrobial activity against one or more of the tested microorganisms at three different concentrations of 1.25, 2.5 and 5 mg/disc.
For the first line of experiments (microorganisms in contact with OSO at different content of peroxides), microorganisms from an overnight culture in tryptic soy agar (Oxoid) were suspended (density of 0.5 McFarland standard) in buffered physiological solution pH 7.4 (denominated saline) with Tween 80 (2%) and diluted in order to obtain about 10 CFU mL−1.
Phototrophic microorganisms cultures were contaminated at different Cr(NO3 3 concentrations, 1, 5, 10, 25, 50, 100, and 200 μM Cr III), and incubated under the same conditions as mentioned above for a period of 9 days.
Such a convenient FBA model has decent predictive power for in silico studies of a non-model environmental microorganism for bioethanol production at different growth rates.
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