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On the basis of morphology after performing Gram staining one was identified as Gram positive Cocci while other was identified as Gram negative Bacilli.
Further, colony characteristics, biochemical tests as well as specific tests the micro-organisms were carried out to reach to the correct identification of the micro-organism. The Catalase test was performed which was positive, eliminating the chances of unknown sample to be Streptococcus (which is catalase negative). Further, Mannitol fermentation was positive for this unknown sample which eliminates the chances of S. aureus (Mannitol negative) from the sample. Further, presence of pigment was observed to eliminate the chances of S. epidermidis and S. saprophyticus (both these organisms do not have pigment). Since the colony color was found to be yellow the identification tapers to the presence of Micrococcus sp. In order to further segregate the Micrococcus sp. presence or absence of glucose fermentation was observed. The result was negative confirming the absence of Micrococcus varians (which displays glucose fermentation) and presence of Micrococcus luteus (does not display glucose fermentation).
The second unknown bacteria was aerobic as it was catalase as well as oxidase positive. Since it is Gram negative aerobic bacilli the identification tapers to the possibility of either Helicobacter salinarum, Alcaligenes faecalis, Pseudomonas aeruginosa. Since citrate utilization was positive in the biochemical test it could be Pseudomonas aeruginosa or Alcaligenes faecalis. To eliminate one of the species to taper the identification further, growth was observed which was moderate and hence probability of Pseudomonas was eliminated (as Pseudomonas display abundant growth).
Manipulative skills and cognitive microbiological knowledge are essential for the identification of microorganism beyond
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Bacteria were discovered by Anton Von Leeuwenhoek in 1676, which he called animalcules. Louis Pasteur in 1859 discovered that fermentation is an effect of microbial activity. Robert Koch postulated the ‘Germ Theory’ and went on to win the Nobel Prize in 1905.
It is highly imperative to classify bacteria and to identify microorganisms as they have enough potential to cause various diseases. Essentially, identification process is highly pragmatic for the correct diagnosis and treatment. Identification of the bacteria provides line of treatment.
Since 19th century scientists were aware of some unique identity of an individual which distinguish from others, like finger prints. In 1970, DNA was established as key element in human life and which makes individual as unique creature. Variability in DNA sequences among individual to individual have attracted forensic experts to develop technique based on DNA to identify individual or criminal similar to finger prints.
This was achieved through fractionating the liver cells into three different components: the supernatant, liver particulate and lysed liver particulate. MDH was localised primarily in the lysed liver particulate, while LDH was mainly localised within the supernatant
1. E. coli is in competition with S. euglensis at a temperature of 20-35 degrees and a pH of 6-7.5. E. coli is also in competition with N. atol at a temperature of 20-30 degrees and a pH of 4.5 -6.5. P.
Through this study, we can observe the amazing reactions. The unknown microorganism was able to ferment sucrose anaerobically hence the production of carbon dioxide and the color change. From the obtained results, the identity of the unknown microorganism was the bacterium Proteus vulgaris.
o calibrate the pressure transducer and then perform an uncertainty analysis and compare your pressure transducer calibration to the manufacturer’s calibration.
1. Excite the pressure transducer, with a voltage of 10v. The figure above had J17 and J18 as AO (Analog Out). It
e results of the experiment indicated that biuret protein analysis methods is a more definitive method of protein determination as the concentration mean of protein using this method was 1.88 x 10-3 while Folin protein assay methods had a standard deviation of 0.026.
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