Relative quantification of pork and beef in meat products using global and species-specific peptide markers for the authentication of meat composition

被引:14
作者
Nalazek-Rudnicka, Katarzyna [1 ]
Klosowska-Chomiczewska, Ilona E. [2 ]
Brockmeyer, Jens [3 ]
Wasik, Andrzej [1 ]
Macierzanka, Adam [2 ]
机构
[1] Gdansk Univ Technol, Dept Analyt Chem, Fac Chem, Narutowicza 11 12, PL-80233 Gdansk, Poland
[2] Gdansk Univ Technol, Dept Colloid & Lipid Sci, Fac Chem, Narutowicza 11 12, PL-80233 Gdansk, Poland
[3] Univ Stuttgart, Inst Biochem & Tech Biochem, Dept Food Chem, Allmandring 5B, D-70569 Stuttgart, Germany
关键词
Meat authentication; Peptide markers; Global markers; MRM-MS; Pork; Beef; MASS-SPECTROMETRY; IDENTIFICATION; HORSE;
D O I
10.1016/j.foodchem.2022.133066
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
We used global and species-specific peptide markers for a relative quantitative determination of pork and beef in raw and processed meat products made of the two meat species. Four groups of products were prepared (i.e., minced raw meats, sausages, raw and fried burgers) in order to represent products with different extents of food processing. In each group, the products varied in the pork/beef proportions. All products were analysed by multiple reaction monitoring mass spectrometry (MRM-MS) for the presence/concentration of pork- and beef-specific peptide markers, as well as global markers - peptides widely distributed in muscle tissue. The combined MRM-MS analysis of pork-specific peptide HPGDFGADAQGAMSK, beef-specific peptide VLGFHG and global marker LFDLR offered the most reliable validation of declared pork/beef compositions across the whole range of meat products. Our work suggests that a simultaneous analysis of global and species-specific peptide markers can be used for composition authentication in commercial pork/beef products.
引用
收藏
页数:10
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共 30 条
  • [1] Species identification and animal authentication in meat products: a review
    Alikord, Mahsa
    Momtaz, Hassan
    Keramat, Javad
    Kadivar, Mahdi
    Rad, Aziz Homayouni
    [J]. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION, 2018, 12 (01) : 145 - 155
  • [2] Authenticity of meat products: Tools against fraud
    Angel Sentandreu, Miguel
    Sentandreu, Enrique
    [J]. FOOD RESEARCH INTERNATIONAL, 2014, 60 : 19 - 29
  • [3] Brummer I., 2022, LC MS MS APPRO UNPUB
  • [4] EC Knowledge for Policy, 2018, KNOWL CTR FOOD FRAUD
  • [5] A quantitative method for detecting meat contamination based on specific polypeptides
    Feng, Chaoyan
    Xu, Daokun
    Liu, Zhen
    Hu, Wenyan
    Yang, Jun
    Li, Chunbao
    [J]. ANIMAL BIOSCIENCE, 2021, 34 (09) : 1532 - 1543
  • [6] Effect of heat and pressure processing on DNA fragmentation and implications for the detection of meat using a real-time polymerase chain reaction
    Hird, H
    Chisholm, J
    Sanchez, A
    Hernandez, M
    Goodier, R
    Schneede, K
    Boltz, C
    Popping, B
    [J]. FOOD ADDITIVES AND CONTAMINANTS, 2006, 23 (07): : 645 - 650
  • [7] TMT-based quantitative proteomic analysis of porcine muscle associated with postmortem meat quality
    Hou, Xinhua
    Liu, Qiufeng
    Meng, Qingshi
    Wang, Ligang
    Yan, Hua
    Zhang, Longchao
    Wang, Lixian
    [J]. FOOD CHEMISTRY, 2020, 328
  • [8] A Machine Learning Method for the Quantitative Detection of Adulterated Meat Using a MOS-Based E-Nose
    Huang, Changquan
    Gu, Yu
    [J]. FOODS, 2022, 11 (04)
  • [9] Near-infrared hyperspectral imaging for detection and visualization of offal adulteration in ground pork
    Jiang, Hongzhe
    Ru, Yu
    Chen, Qing
    Wang, Jinpeng
    Xu, Linyun
    [J]. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2021, 249
  • [10] Assessment of carbonic anhydrase 3 as a marker for meat authenticity and performance of LC-MS/MS for pork content
    Li, Yingying
    Zhang, Yingying
    Kang, Chaodi
    Zhao, Wentao
    Li, Shilei
    Wang, Shouwei
    [J]. FOOD CHEMISTRY, 2021, 342