1
|
Tai J, Hu H, Cao X, Liang X, Lu Y, Zhang H. Identification of animal species of origin in meat based on glycopeptide analysis by UPLC-QTOF-MS. Anal Bioanal Chem 2023; 415:7235-7246. [PMID: 37957327 DOI: 10.1007/s00216-023-04992-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 08/31/2023] [Accepted: 09/26/2023] [Indexed: 11/15/2023]
Abstract
Adulteration of meat and meat products causes a concerning threat for consumers. It is necessary to develop novel robust and sensitive methods which can authenticate the origin of meat species to compensate for the drawbacks of existing methods. In the present study, the sarcoplasmic proteins of six meat species, namely, pork, beef, mutton, chicken, duck and turkey, were analyzed by one-dimensional gel electrophoresis. It was found that enolase could be used as a potential biomarker protein to distinguish between livestock and poultry meats. The glycosylation sites and glycans of enolase were analyzed by UPLC-QTOF-MS and a total of 41 glycopeptides were identified, indicating that the enolase N-glycopeptide profiles of different meats were species-specific. The identification models of livestock meat, poultry and mixed animal were established based on the glycopeptide contents, and the explanation degree of the three models was higher than 90%. The model prediction performance and feasibility results showed that the average prediction accuracy of the three models was 75.43%, with the animal-derived meat identification model showing superiority in identifying more closely related species. The obtained results indicated that the developed strategy was promising for application in animal-derived meat species monitoring and the quality supervision of animal-derived food.
Collapse
Affiliation(s)
- Jingjing Tai
- School of Food and Bioengineering, Zhejiang Gongshang University, Hangzhou, 310018, Zhejiang, China
| | - Huang Hu
- School of Agriculture, JinHua Polytechnic, Jinhua, 321016, Zhejiang, China
| | - Xiaoji Cao
- Research Center of Analysis and Measurement, Zhejiang University of Technology, Hangzhou, 310014, Zhejiang, China
| | - Xinle Liang
- School of Food and Bioengineering, Zhejiang Gongshang University, Hangzhou, 310018, Zhejiang, China
| | - Yanbin Lu
- School of Food and Bioengineering, Zhejiang Gongshang University, Hangzhou, 310018, Zhejiang, China
| | - Hong Zhang
- School of Food and Bioengineering, Zhejiang Gongshang University, Hangzhou, 310018, Zhejiang, China.
| |
Collapse
|
2
|
Häfner L, Brockmeyer J, Haase I, Kranz B, Jira W. Identification of Cross-Species Marker Peptides for the Detection of Mammalian and Poultry Meat in Vegan and Vegetarian Foods. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:12597-12608. [PMID: 37561394 DOI: 10.1021/acs.jafc.3c01100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/11/2023]
Abstract
Authentication of vegan and vegetarian foods is important since these increasingly popular food items could be adulterated with cheap meat to increase profit margins. In this study, nine marker peptides for the detection of meat (several species) were identified applying liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). These marker peptides enable the crucial differentiation of beef versus milk and chicken meat versus egg, demonstrated by the investigation of 19 commercial vegetarian meat substitutes containing milk and egg. Extensive experimental testing proved the presence of the cross-species meat marker peptides in 19 food-relevant types of mammals and poultry as well as their absence in more than 136 plant-based ingredients for the production of vegan and vegetarian foods. An authentic vegan sausage matrix based on an actual retail product was produced and spiked with 5.0%, w/w meat to confirm the high signal intensities and the heat stability of the marker peptides.
Collapse
Affiliation(s)
- Lukas Häfner
- National Reference Centre for Authentic Food, Max Rubner-Institut (MRI), E.-C.-Baumann-Straße 20, Kulmbach 95326, Germany
| | - Jens Brockmeyer
- Department of Food Chemistry, Institute for Biochemistry and Technical Biochemistry, University of Stuttgart, Allmandring 5B, Stuttgart 70569, Germany
| | - Ilka Haase
- National Reference Centre for Authentic Food, Max Rubner-Institut (MRI), E.-C.-Baumann-Straße 20, Kulmbach 95326, Germany
| | - Bertolt Kranz
- National Reference Centre for Authentic Food, Max Rubner-Institut (MRI), E.-C.-Baumann-Straße 20, Kulmbach 95326, Germany
| | - Wolfgang Jira
- Department of Safety and Quality of Meat, Max Rubner-Institut (MRI), E.-C.-Baumann-Straße 20, Kulmbach 95326, Germany
| |
Collapse
|
3
|
Stachniuk A, Trzpil A, Montowska M, Fornal E. Heat-stable peptide markers specific to rabbit and chicken liver tissue for meat product authentication testing. Food Chem 2023; 424:136432. [PMID: 37245471 DOI: 10.1016/j.foodchem.2023.136432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 05/03/2023] [Accepted: 05/18/2023] [Indexed: 05/30/2023]
Abstract
A three-step analysis was used to detect and identify heat-stable peptide markers specific to liver tissue from rabbit and chicken. It involved peptide discovery by liquid chromatography coupled to high resolution mass spectrometer (LC-HRMS), followed by protein identification using Spectrum Mill software and multiple reaction monitoring (MRM) based confirmation of the discovered peptides using a liquid chromatography coupled to triple quadrupole mass spectrometer (LC-TQ). We identified 50 and 91 heat-stable peptide markers unique to chicken and rabbit liver, respectively. The markers were validated in commercial food samples with declared liver tissue contents ranging from 5% to 30%. The best candidate peptides for distinguishing liver tissue from skeletal muscle were selected and then confirmed using MRM-based approach. Limit of detection of liver was found to be in the range of 0.13 to 2.13% (w/w) for chicken liver-specific peptide markers, and from 0.04 to 0.6% (w/w) for rabbit liver-specific peptide markers.
Collapse
Affiliation(s)
- Anna Stachniuk
- Department of Bioanalytics, Medical University of Lublin, ul. Jaczewskiego 8b, 20-090 Lublin, Poland.
| | - Alicja Trzpil
- Department of Bioanalytics, Medical University of Lublin, ul. Jaczewskiego 8b, 20-090 Lublin, Poland
| | - Magdalena Montowska
- Department of Meat Technology, Poznan University of Life Sciences, ul. Wojska Polskiego 31, 60-624 Poznan, Poland
| | - Emilia Fornal
- Department of Bioanalytics, Medical University of Lublin, ul. Jaczewskiego 8b, 20-090 Lublin, Poland
| |
Collapse
|
4
|
Pork liver tissue-specific peptide markers for food authenticity testing and adulteration detections. Food Chem 2022; 405:135013. [DOI: 10.1016/j.foodchem.2022.135013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 11/16/2022] [Accepted: 11/17/2022] [Indexed: 11/23/2022]
|
5
|
Simultaneous Mass Spectrometric Detection of Proteins of Ten Oilseed Species in Meat Products. Foods 2022; 11:foods11142155. [PMID: 35885397 PMCID: PMC9323756 DOI: 10.3390/foods11142155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/14/2022] [Accepted: 07/17/2022] [Indexed: 02/06/2023] Open
Abstract
Food fraud is a common issue in the modern food industry. The undeclared use of foreign proteins in meat products is a major concern in this context. Oilseeds are ideal for this purpose due to their high protein content and since huge amounts of oil meal are obtained as a by-product of oil production. Therefore, a UHPLC-MS/MS method was developed for the simultaneous detection of chia, coconut, flaxseed, hemp, peanut, pumpkin, rapeseed, sesame, soy, and sunflower proteins in meat products. Potential tryptic peptide markers were identified by high-resolution mass spectrometry. The final twenty peptide markers selected, which are specific for one of the ten species targeted, were each measured by multiple reaction monitoring. To the best of our knowledge, twelve new heat-stable marker peptides for chia, coconut, flaxseed, pumpkin, rapeseed, sesame and sunflower have not been reported previously. Emulsion-type sausages with 0.01, 0.25, 0.50, 0.75 and 1.00% protein addition by each oilseed species were produced for matrix calibration. No false-positive results were recorded. In the quantification of the ten oilseed species, 466 of 480 measuring data points of the recovery rate in unknown sausages (0.15 and 0.85% protein addition by each oilseed species) were in the accepted range of 80–120%.
Collapse
|
6
|
Dirong G, Nematbakhsh S, Selamat J, Chong PP, Idris LH, Nordin N, Fatchiyah F, Abdull Razis AF. Omics-Based Analytical Approaches for Assessing Chicken Species and Breeds in Food Authentication. Molecules 2021; 26:6502. [PMID: 34770913 PMCID: PMC8587031 DOI: 10.3390/molecules26216502] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/04/2021] [Accepted: 10/06/2021] [Indexed: 11/07/2022] Open
Abstract
Chicken is known to be the most common meat type involved in food mislabeling and adulteration. Establishing a method to authenticate chicken content precisely and identifying chicken breeds as declared in processed food is crucial for protecting consumers' rights. Categorizing the authentication method into their respective omics disciplines, such as genomics, transcriptomics, proteomics, lipidomics, metabolomics, and glycomics, and the implementation of bioinformatics or chemometrics in data analysis can assist the researcher in improving the currently available techniques. Designing a vast range of instruments and analytical methods at the molecular level is vital for overcoming the technical drawback in discriminating chicken from other species and even within its breed. This review aims to provide insight and highlight previous and current approaches suitable for countering different circumstances in chicken authentication.
Collapse
Affiliation(s)
- Goh Dirong
- Natural Medicines and Products Research Laboratory, Institute of Bioscience, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia;
| | - Sara Nematbakhsh
- Laboratory of Food Safety and Food Integrity, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia; (S.N.); (J.S.); (N.N.)
| | - Jinap Selamat
- Laboratory of Food Safety and Food Integrity, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia; (S.N.); (J.S.); (N.N.)
- Department of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia
| | - Pei Pei Chong
- School of Biosciences, Faculty of Health and Medical Sciences, Taylor’s University, Subang Jaya 47500, Selangor, Malaysia;
| | - Lokman Hakim Idris
- Department of Veterinary Preclinical Sciences, Faculty of Veterinary Medicine, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia;
| | - Noordiana Nordin
- Laboratory of Food Safety and Food Integrity, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia; (S.N.); (J.S.); (N.N.)
| | - Fatchiyah Fatchiyah
- Department of Biology, Faculty of Mathematic and Natural Science, Brawijaya University, JI. Veteran, Malang 65145, Indonesia;
| | - Ahmad Faizal Abdull Razis
- Natural Medicines and Products Research Laboratory, Institute of Bioscience, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia;
- Laboratory of Food Safety and Food Integrity, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia; (S.N.); (J.S.); (N.N.)
- Department of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia
| |
Collapse
|
7
|
Kotecka-Majchrzak K, Kasałka-Czarna N, Sumara A, Fornal E, Montowska M. Multispecies Identification of Oilseed- and Meat-Specific Proteins and Heat-Stable Peptide Markers in Food Products. Molecules 2021; 26:molecules26061577. [PMID: 33809348 PMCID: PMC7998630 DOI: 10.3390/molecules26061577] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 03/08/2021] [Accepted: 03/09/2021] [Indexed: 01/31/2023] Open
Abstract
Consumer demand for both plant products and meat products enriched with plant raw materials is constantly increasing. Therefore, new versatile and reliable methods are needed to find and combat fraudulent practices in processed foods. The objective of this study was to identify oilseed species-specific peptide markers and meat-specific markers that were resistant to processing, for multispecies authentication of different meat and vegan food products using the proteomic LC-MS/MS method. To assess the limit of detection (LOD) for hemp proteins, cooked meatballs consisting of three meat species and hemp cake at a final concentration of up to 7.4% were examined. Hemp addition at a low concentration of below 1% was detected. The LOD for edestin subunits and albumin was 0.9% (w/w), whereas for 7S vicilin-like protein it was 4.2% (w/w). Specific heat-stable peptides unique to hemp seeds, flaxseed, nigella, pumpkin, sesame, and sunflower seeds, as well as guinea fowl, rabbit, pork, and chicken meat, were detected in different meat and vegan foods. Most of the oilseed-specific peptides were identified as processing-resistant markers belonging to 11S globulin subunits, namely conlinin, edestin, helianthinin, pumpkin vicilin-like or late embryogenesis proteins, and sesame legumin-like as well as 2S albumins and oleosin isoforms or selected enzymic proteins.
Collapse
Affiliation(s)
- Klaudia Kotecka-Majchrzak
- Department of Meat Technology, Poznan University of Life Sciences, Wojska Polskiego 31, 60-624 Poznan, Poland; (K.K.-M.); (N.K.-C.)
| | - Natalia Kasałka-Czarna
- Department of Meat Technology, Poznan University of Life Sciences, Wojska Polskiego 31, 60-624 Poznan, Poland; (K.K.-M.); (N.K.-C.)
| | - Agata Sumara
- Department of Pathophysiology, Medical University of Lublin, Jaczewskiego 8b, 20-090 Lublin, Poland; (A.S.); (E.F.)
| | - Emilia Fornal
- Department of Pathophysiology, Medical University of Lublin, Jaczewskiego 8b, 20-090 Lublin, Poland; (A.S.); (E.F.)
| | - Magdalena Montowska
- Department of Meat Technology, Poznan University of Life Sciences, Wojska Polskiego 31, 60-624 Poznan, Poland; (K.K.-M.); (N.K.-C.)
- Correspondence: ; Tel.: +48-61-848-7257
| |
Collapse
|