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Molecular assay to fraud identification of meat products

Overview of attention for article published in Journal of Food Science and Technology, July 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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1 blog
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2 X users

Citations

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141 Dimensions

Readers on

mendeley
248 Mendeley
Title
Molecular assay to fraud identification of meat products
Published in
Journal of Food Science and Technology, July 2011
DOI 10.1007/s13197-011-0456-3
Pubmed ID
Authors

Abbas Doosti, Payam Ghasemi Dehkordi, Ebrahim Rahimi

Abstract

Detection of species fraud in meat products is important for consumer protection and food industries. A molecular technique such as PCR method for detection of beef, sheep, pork, chicken, donkey, and horse meats in food products was established. The purpose of this study was to identification of fraud and adulteration in industrial meat products by PCR-RFLP assay in Iran. In present study, 224 meat products include 68 sausages, 48 frankfurters, 55 hamburgers, 33 hams and 20 cold cut meats were collected from different companies and food markets in Iran. Genomic DNA was extracted and PCR was performed for gene amplification of meat species using specific oligonucleotid primers. Raw meat samples are served as the positive control. For differentiation between donkey's and horse's meat, the mitochondrial DNA segment (cytochrome-b gene) was amplified and products were digested with AluI restriction enzyme. Results showed that 6 of 68 fermented sausages (8.82%), 4 of 48 frankfurters (8.33%), 4 of 55 hamburgers (7.27%), 2 of 33 hams (6.6%), and 1 of 20 cold cut meat (5%) were found to contain Haram (unlawful or prohibited) meat. These results indicate that 7.58% of the total samples were not containing Halal (lawful or permitted) meat and have another meat. These findings showed that molecular methods such as PCR and PCR-RFLP are potentially reliable techniques for detection of meat type in meat products for Halal authentication.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 248 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Thailand 1 <1%
Unknown 247 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 35 14%
Student > Bachelor 33 13%
Student > Ph. D. Student 23 9%
Researcher 22 9%
Lecturer 18 7%
Other 46 19%
Unknown 71 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 45 18%
Agricultural and Biological Sciences 40 16%
Chemistry 19 8%
Business, Management and Accounting 9 4%
Engineering 9 4%
Other 44 18%
Unknown 82 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 April 2015.
All research outputs
#2,892,671
of 22,739,983 outputs
Outputs from Journal of Food Science and Technology
#148
of 1,435 outputs
Outputs of similar age
#14,679
of 117,066 outputs
Outputs of similar age from Journal of Food Science and Technology
#7
of 30 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,435 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 117,066 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.