The objective of this investigation was the Identification of Salmonella spp.
isolated from white cheese (traditional processed from sheep milk) and classify
it by using API 20E and PCR techniques.
80 samples of white cheese (traditional processed
from sheep milk) were
collected from different locations in Syria.
According to PCR technique, 17 samples gave positive result for salmonella
meaning that 21.25 % did not match the levels of the Syrian Standardization
and Metrology (S.S.M.).
According to API 20E technique, the dominat type of Salmonella was
Salmonella Arizona (47%), followed by Salmonella typhim (23.61 %),
Salmonella paratyphi (17.6 %) and Salmonella spp. (11.76 %).
Results showed that samples from local cheese positive for Salmonella were
much more than samples from Akkawi cheese.
The results showed that the PCR technique is fast and accurate and can be
used to Identify Salmonella in cheese.
This study was conducted in the years 2008-2009-2010, it has analyzed for
Staph. aureus and isolated from 100 samples of traditional ice cream sold to
customers it has had collected from different regions parts of Damascus and his
countryside. The
study has been found that there was no violation of the Syrian
standard for Staph. aureus. And the results were also diagnosed using the
techniques of API Staph and PCR equal.
This study aimed to investigate the possibility of rapid identification of
isolated bacteria Leuconostoc from Syrian white fresh cheese made of cow and
ewe milk using Fourier transform infrared spectroscopy (FTIR). 20 isolates (14
from ewe milk ch
eese and 6 from cow milk cheese) were isolated. These isolates
were pretasted with PCR technique using specific primers. Results indicated
that these isolates are belonged to the genus Leuconostoc and 12 of them are
belonged to Ln. mesenteroides species. The results of FTIR technique showed in
comparison to device library that all isolates are belonged to genus
Leuconostoc, and 4 of these isolates are belonged to Ln. citreum species which
could not be identified using PCR method (with the used primers), and helped
to identify the following subspecies: Ln.mesenteroides subsp mesenteroides and
Ln. mesenteroides subsp dextranicum while PCR technique described them
belonging only to a Ln. mesenteroides species. Moreover, FTIR technique was
able to give the results within 25 hours, thus it can be used in identification of
food bacteria more quickly.
This paper presents a technique for the identification of participant slots in English language contracts. Taking inspiration from unsupervised slot extraction techniques, the system presented here uses a supervised approach to identify terms used to
refer to a genre-specific slot in novel contracts. We evaluate the system in multiple feature configurations to demonstrate that the best performing system in both genres of contracts omits the exact mention form from consideration---even though such mention forms are often the name of the slot under consideration---and is instead based solely on the dependency label and parent; in other words, a more reliable quantification of a party's role in a contract is found in what they do rather than what they are named.