Isolation, Purification and Characterization of Oil Degrading Bacteria

Table 1 : Oil consumed by different bacterial cultures from all the three samples.

Samples

Culture

Observations

Sample 1

Culture 1-1

0.4 ml

Sample 1

Culture 1-2

0.5 ml

Sample 2

Culture 2-1

0.2 ml

Sample 2

Culture 2-2

0.1 ml

Sample 3

Culture 3-1

0.3 ml

Sample 3

Culture 3-2

0.4 ml

Various biochemical tests, namely starch hydrolysis test, catalase test and urease

production test were done on all the cultures. The following table shows the

results obtained from the Starch hydrolysis was the first test for all the samples.

It was done to check if the culture can use starch or not as a carbon and energy

source for growth. Different samples gave different results for the above test. The

next test was catalase production. The catalase test facilitates the detection of the

enzyme catalase in bacteria. It is essential for differentiating catalase-positive

Micrococcaceae from catalase-negative Streptococcaceae. All the samples gave

positive result. The next and the last test was urease production test. The urease

test identifies those organisms that are capable of hydrolyzing urea to produce

ammonia and carbon dioxide. It is primarily used to distinguish urease-positive

Proteeae from other Enterobacteriaceae.

Table 3.2 Biochemical Characterization of bacterial cultures

S. No.

Biochemical Test

Sample 1

Sample 2

Sample 3

1.

Starch hydrolysis

+

-

-

2.

Catalase production

+

+

+

3.

Urease production

+

-

-

Conclusion

Environment pollution caused by released of a wide range of compound as a

consequence of industrial progress has assumed serious proportions. To prevent

development of hazardous waste the process of bioremediation has been followed.

My present study follows the isolation of oil degrading bacteria from different oil

cakes. Different oil cakes were grinded and dried. 0.1 gm of dried sample was

added to 100 ml of DW and then serially diluted. Then bacteria was grown using

International Journal of Bioinformatics and Biological Sciences : v.2 n.3&4. Dec. 2014

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