This study aimed to isolate and identifye the growth of microorganisms and
their effect on pickled cucumber and cabbage, the study also investigated the effect of
garlic (in the form of segments, chopped or crushed) on the mentioned pickled –food
features . Furthermore, a sense based comparison is made between vinegar-preserved
samples and vinegar-garlic preserved ones.
The following results have been obtained:
1- The isolation of staph. aureus alone from the samples and the study of its physical
and biochemical features.
2- The fresh garlic (segments, chopped and crushed) with concentration of 5%, 7.5%,
and 10% showed a damaging percentage of 100% to bacterial growth of staph. Aureus
after 24 hours of incubation time compared to the control sample which a mounted to
5.7x104 cell/ml.
3- Decrease in pH values in pickled cucumber and cabbage samples as a result of
acid production by lactic–acid bacteria. The final values for the pickled cucumber
were 3.2 and for the pickled cabbage 3.4.
4- The results also indicate that the pickled cucumber and cabbage with garlic at
various concentrations in their three forms (segment, chopped and crushed) did not
show any signs of waste after storage, where as such signs appeared in pickled
cucumber and cabbage not treated with garlic after two months of storage.This
confirms that garlic has an active and positive effect as a food – preserving material
on a ccount of the vital and anti – bacterial compounds contains.
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... Show MoreThe dynamic development of computer and software technology in recent years was accompanied by the expansion and widespread implementation of artificial intelligence (AI) based methods in many aspects of human life. A prominent field where rapid progress was observed are high‐throughput methods in biology that generate big amounts of data that need to be processed and analyzed. Therefore, AI methods are more and more applied in the biomedical field, among others for RNA‐protein binding sites prediction, DNA sequence function prediction, protein‐protein interaction prediction, or biomedical image classification. Stem cells are widely used in biomedical research, e.g., leukemia or other disease studies. Our proposed approach of
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