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Proteomic Analysis of Sarcoplasmic Peptides of Two Related Fish Species for Food Authentication

Overview of attention for article published in Applied Biochemistry and Biotechnology, August 2013
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Title
Proteomic Analysis of Sarcoplasmic Peptides of Two Related Fish Species for Food Authentication
Published in
Applied Biochemistry and Biotechnology, August 2013
DOI 10.1007/s12010-013-0384-y
Pubmed ID
Authors

Sudhir Kumar Barik, Sudeshna Banerjee, Soma Bhattacharjee, Sujoy Kumar Das Gupta, Sasmita Mohanty, Bimal Prasanna Mohanty

Abstract

Detection of species-specific sarcoplasmic peptides can be used as proteomic markers for fish food authentication and identification of species of origin in processed products. In the present study, proteomics technology was employed for differential characterization of sarcoplasmic peptides of two closely related fish species, Sperata seenghala and Sperata aor. Species-specific peptides were searched in white muscle extracts of the two species for identification of unique peptides that might aid in differentiation of the species, under two-dimensional gel electrophoresis platform. A total of 19 proteins were identified by combined matrix-assisted laser desorption ionization time-of-flight mass spectrometry and liquid chromatography-tandem mass spectrometry, of which nine and two proteins were found to be unique to S. seenghala and S. aor, respectively. One of the proteins, triosephosphate isomerase (TPI) was found to have three isoforms, out of which two were specific to S. aor, and one was specific to S. seenghala. All the three isoforms of TPI were present in the mixed samples of raw protein extracts of S. seenghala and S. aor, an observation that can be exploited to differentiate between the species and detection of deceptive practices of fraudulent substitution of commercially valuable fish species with inferior ones and differential characterization between closely related fish species.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Researcher 5 15%
Unspecified 3 9%
Professor 3 9%
Student > Doctoral Student 2 6%
Other 5 15%
Unknown 9 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 29%
Unspecified 3 9%
Chemistry 3 9%
Biochemistry, Genetics and Molecular Biology 2 6%
Environmental Science 1 3%
Other 4 12%
Unknown 11 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 September 2014.
All research outputs
#20,237,640
of 22,764,165 outputs
Outputs from Applied Biochemistry and Biotechnology
#2,030
of 2,499 outputs
Outputs of similar age
#173,318
of 197,374 outputs
Outputs of similar age from Applied Biochemistry and Biotechnology
#24
of 26 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,499 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.