Dataset Information

Data on microbiological quality of raw cow milk in East Azerbaijan province, Iran.

ABSTRACT: Microbial contamination of milk can lead to undesirable effects on texture, color, odor, or flavor that result in shorter shelf life. It may also cause serious illnesses in consumers if it contains over than standard limit of these parameters. In this data, we evaluate the total bacterial count (TBC) and somatic cell count (SCC) of raw milk in East Azerbaijan province using BactoScan and Fossomatic equipment, respectively. According to the 30 points selected in the province map, the 10,800 samples were collected during a one-year period. Microbiological results in this data show heavy contaminations of milk samples with TBC indicator (73.6%), while SCC in only 6.4% samples were over the recommended levels by the Iranian standard. Therefore, it is necessary to take attention in order to control of these microbial parameters especially TBC during of milk production to avoid the potential risk of high microbial contamination.

SUBMITTER: Safaei P

PROVIDER: S-EPMC6240637 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Data on microbiological quality of raw cow milk in East Azerbaijan province, Iran.

Safaei Payam P Seilani Fatemeh F Sajedi Seied Reza SR Pirhadi Mohadeseh M Mohajer Afsaneh A

Data in brief 20181103

Microbial contamination of milk can lead to undesirable effects on texture, color, odor, or flavor that result in shorter shelf life. It may also cause serious illnesses in consumers if it contains over than standard limit of these parameters. In this data, we evaluate the total bacterial count (TBC) and somatic cell count (SCC) of raw milk in East Azerbaijan province using BactoScan and Fossomatic equipment, respectively. According to the 30 points selected in the province map, the 10,800 sampl ...[more]

PMID: 30480070

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Project description:This study was organized to investigate the prevalence, antibiotic and disinfectant resistance phenotypes and genotypes as well as plasmid profiles of Shigella species isolated from raw cow milk and milk products in Egypt. Genotypic analysis was performed to determine the presence of β-lactamase encoding genes (blaTEM, blaCTX-M, blaOXA-1 and blaSHV), tet(A) and qacE∆. Forty-two (7%) Shigella isolates (S. dysenteriae, S. flexneri, and S. sonnei) were recovered, with S. dysenteriae as the predominant type. Antibiotic sensitivity tests showed that 71.4% of Shigella isolates were resistant to three or more antibiotic classes (multidrug-resistant). High resistance rates were observed against tetracyclines (100%), ampicillin, amoxicillin-clavulanate (90.5%, each) and cefaclor (66.7%), while no resistance was detected against imipenem, sulfamethoxazole/trimethoprim, and azithromycin. Disinfectant susceptibility test of Shigella isolates revealed resistance to phenolic compound (vanillic acid), while 85.7% of the Shigella isolates were resistant to benzalkonium chloride. Uniplex PCR analysis declared the existence of β-lactamase encoding genes (blaTEM in all isolates and blaCTX-M in 28.6% of isolates) and, tet(A) in all isolates and 85.7% of the isolates were positive for qacE∆1, while all isolates were negative for blaOXA-1 and blaSHV. All Shigella extended spectrum β-lactamases (ESBL) producers (12, 100%) were positive for the blaTEM, blaCTX-M, and qacE∆1 genes. Furthermore, plasmid profiling revealed seven distinct plasmid patterns (P1-P7), ranging from 1.26 to 33.61 kb, among all the Shigella strains; S. dysenteriae exhibited the greatest variance. The co-transfer of β-lactamase genes (blaTEM and blaCTX-M) and qacE∆1 genes was observed by conjugation from all ESBL producers to a recipient strain. These findings indicate the emergence of Shigella species in Egypt that exhibited multi-resistance to either antibiotics (particularly ESBL producer strains) or disinfectants. Thus, the resistance of Shigella species should regularly be monitored and appropriate measures should be taken to manage this problem.

Dataset Information

Data on microbiological quality of raw cow milk in East Azerbaijan province, Iran.

Publications

Data on microbiological quality of raw cow milk in East Azerbaijan province, Iran.

Similar Datasets

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