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A quantitative method for detecting meat contamination based on specific polypeptides

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초록

Objective: This study was aimed to establish a quantitative detection method for meat contamination based on specific polypeptides.Methods: Thermally stable peptides with good responses were screened by high resolution liquid chromatography tandem mass spectrometry. Standard curves of specific polypeptide were established by triple quadrupole mass spectrometry. Finally, the adulteration of commercial samples was detected according to the standard curve.Results: Fifteen thermally stable peptides with good responses were screened. The selected specific peptides can be detected stably in raw meat and deep processed meat with the detection limit up to 1% and have a good linear relationship with the corresponding muscle composition.Conclusion: This method can be effectively used for quantitative analysis of commercial samples.

Abstract

Objective: This study was aimed to establish a quantitative detection method for meat contamination based on specific polypeptides. Methods: Thermally stable peptides with good responses were screened by high resolution liquid chromatography tandem mass spectrometry. Standard curves of specific polypeptide were established by triple quadrupole mass spectrometry. Finally, the adulteration of commercial samples was detected according to the standard curve. Results: Fifteen thermally stable peptides with good responses were screened. The selected specific peptides can be detected stably in raw meat and deep processed meat with the detection limit up to 1% and have a good linear relationship with the corresponding muscle composition. Conclusion: This method can be effectively used for quantitative analysis of commercial samples.

참고문헌 (31)

  1. Zhao HT, "Application of invasive weed optimization and least square support vector machine for prediction of beef adulteration with spoiled beef based on visible near-infrared(Vis-NIR)hyperspectral imaging", Meat Sci, 151, pp.75~81 (2019)[DOI]
  2. Black C, "Rapid detection and specific identification of offals within minced beef samples utilising ambient mass spectrometry", Sci Rep, 9, pp.6295~ (2019)[DOI]
  3. Jira W, "A sensitive HPLC-MS", MS screening method for the simultaneous detection of barley, maize, oats, rice, rye and wheat proteins in meat products, 2019, pp.275, 214~223
  4. Thienes CP, "Quantitative detection of beef contamination in cooked meat products by ELISA", J AOAC Int, 102, pp.898~902 (2019)[DOI]
  5. Ha Y, "Comparison of ELISA and DNA lateral flow assays for detection of pork, horse, beef, chicken, turkey, and goat contamination in meat products", J AOAC Int, 102, pp.189~195 (2019)[DOI]
  6. Thienes CP, "Quantitative detection of chicken and turkey contamination in cooked meat products by ELISA", J AOAC Int, 102, pp.557~563 (2019)[DOI]
  7. Zheng X, "Detection of adulteration with duck meat in minced lamb meat by using visible near-infrared hyperspectral imaging", Meat Sci, 149, pp.55~62 (2019)[DOI]
  8. López-Maestresalas A, "Detection of minced lamb and beef fraud using NIR spectroscopy", Food Control, 98, pp.465~473 (2019)[DOI]
  9. Tian X, "Discrimination of pork", chicken adulteration in minced mutton by electronic taste system, 2019, pp.54, 670~678
  10. Wang Q, "Adulterant identification in mutton by electronic nose and gas chromatography mass spectrometer", Food Control, 98, pp.431~438 (2019)[DOI]
  11. Pavlidis DE, "A volatilomics approach for off-line discrimination of minced beef and pork meat and their admixture using HSSPME GC", MS in tandem with multivariate data analysis, 2019, pp.151, 43~53
  12. Qin P, "Self-signal-on fluorescent colorimetric protocol for rapid authentication of horsemeat adulterated beef samples with functional designed probes", Int J Food Sci Technnol, 54, pp.1752~1759 (2019)[DOI]
  13. Liu W, "A multiplex PCR assay mediated by universal primers for the detection of adulterated meat in mutton", J. Food Prot, 82, pp.325~330 (2019)[DOI]
  14. Li X, "Specific identification of the adulterated components in beef or mutton meats using multiplex PCR", J AOAC Int, 102, pp.1181~1185 (2019)[DOI]
  15. Köppel R, "Duplex digital PCR for the determination of meat proportions of sausages containing meat from chicken, turkey, horse, cow, pig and sheep", Eur Food Res Technol, 245, pp.853~862 (2019)[DOI]
  16. Qin P, "A sensitive multiplex PCR protocol for simultaneous detection of chicken, duck, and pork in beef samples", J Food Sci Technol, 56, pp.1266~1274 (2019)[DOI]
  17. Montowska M, "Absolute quantification of targeted meat and allergenic protein additive peptide markers in meat products", Food Chem, 274, pp.857~864 (2019)[DOI]
  18. Pan XD, "Authentication of pork in meat mixtures using PRM mass spectrometry of myosin peptides", RSC Adv, 8, pp.11157~11162 (2018)[DOI]
  19. Prandi B, "Species specific marker peptides for meat authenticity assessment : A multispecies quantitative approach applied to Bolognese sauce", Food Control, 97, pp.15~24 (2019)[DOI]
  20. Fornal E, "Species-specific peptide-based liquid chromatography mass spectrometry monitoring of three poultry species in processed meat products", Food Chem, 283, pp.489~498 (2019)[DOI]
  21. Nakamoto A, "Monolithic silica spin column extraction and simultaneous derivatization of amphetamines and 3, 4-methylenedioxyamphetamines in human urine for gas chromatographic-mass spectrometric detection", Anal Chim Acta, 661, pp.42~46 (2010)[DOI]
  22. Von Bargen C, "Meat authentication : a new HPLC–MS", MS based method for the fast and sensitive detection of horse and pork in highly processed food, 2014, pp.62, 9428~9435
  23. Sentandreu MA, "A proteomic-based approach for detection of chicken in meat mixes", J Proteome Res, 9, pp.3374~3383 (2010)[DOI]
  24. Bunch DR, "Applications of monolithic solid-phase extraction in chromatography-based clinical chemistry assays", Anal Bioanal Chem, 405, pp.3021~3033 (2013)[DOI]
  25. Palmblad M, "Quantitation of binding, recovery and desalting efficiency of peptides and proteins in solid phase extraction micropipette tips", J Chromatogr B, 814, pp.309~313 (2005)[DOI]
  26. Schmelter C, "Comparison of two solid-phase extraction(spe)methods for the identification and quantification of porcine retinal protein markers by LC-MS", MS, 2018, pp.19, 3847~
  27. Watson AD, "Meat authentication via multiple reaction monitoring mass spectrometry of myoglobin peptides", Anal Chem, 87, pp.10315~10322 (2015)[DOI]
  28. Li Y, "Simultaneous determination of heat stable peptides for eight animal and plant species in meat products using UPLC-MS", MS method, 2018, pp.245, 125~131
  29. Wang GJ, "Peptide biomarkers identified by LC–MS in processed meats of five animal species", J Food Compost Anal, 73, pp.47~54 (2018)[DOI]
  30. Montowska M, "Label-free quantification of meat proteins for evaluation of species composition of processed meat products", Food Chem, 237, pp.1092~1100 (2017)[DOI]
  31. Bax ML, "Cooking temperature is a key determinant of in vitro meat protein digestion rate : investigation of underlying mechanisms", J Agric Food Chem, 60, pp.2569~2576 (2012)[DOI]

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