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LC-ESI-Q-TOF-MS identification of porcine-specific peptide biomarker in cooked pork for halal authentication


Citation

Zainal Abidin, Siti Aimi Sarah and Wan Jamaluddin, Wan Noor Faradalila and Karsani, Saiful Anuar and Ismail, Amin and Sazili, Awis Qurni (2014) LC-ESI-Q-TOF-MS identification of porcine-specific peptide biomarker in cooked pork for halal authentication. In: Malaysia International Halal Research & Education Conference 2014 (MIHREC 2014), 2-4 Dec. 2014, Marriott Putrajaya Hotel, Malaysia. (pp. 47-52).

Abstract

Identifying pork adulteration in the mixture of meat is nearly impossible with the naked eye. Therefore, with the aid of modern technology, an authentication technique can be developed from various sample state which range from small to molecular level. The present research focused on protein-based method as an approach to differentiate pork from beef, chevon and chicken. Instead of using DNA markers, species authentication using proteomics approach was chosen as the state-of-the-art technology offers high discriminating power and specificity. The purpose of this study was to determine porcine-specific peptide biomarker from thermally processed meat using liquid chromatography electrospray ionization quadrupole time of flight mass spectrometry (LC-ESI-Q-TOF-MS) in which the marker peptides were derived from the trypsin hydrolysis of myosin-4. A thorough investigation of LC-ESI-Q-TOF-MS data revealed two myosin-4 peptides at position 1450-1472 which demonstrated species-specific properties to porcine.


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Additional Metadata

Item Type: Conference or Workshop Item (Other)
Divisions: Faculty of Agriculture
Faculty of Medicine and Health Science
Halal Products Research Institute
Publisher: Halal Products Research Institute, Universiti Putra Malaysia
Keywords: Species authentication; Mass spectrometry; Pork; Peptide biomarkers
Depositing User: Nabilah Mustapa
Date Deposited: 07 Jun 2018 06:24
Last Modified: 07 Jun 2018 06:24
URI: http://psasir.upm.edu.my/id/eprint/60504
Statistic Details: View Download Statistic

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