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Nalazek-Rudnicka K, Kłosowska-Chomiczewska IE, Brockmeyer J, Wasik A, Macierzanka A. Relative quantification of pork and beef in meat products using global and species-specific peptide markers for the authentication of meat composition. Food Chem 2022; 389:133066. [PMID: 35567862 DOI: 10.1016/j.foodchem.2022.133066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 03/24/2022] [Accepted: 04/21/2022] [Indexed: 11/04/2022]
Abstract
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.
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Affiliation(s)
- Katarzyna Nalazek-Rudnicka
- Department of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology, Narutowicza 11/12, 80-233 Gdańsk, Poland
| | - Ilona E Kłosowska-Chomiczewska
- Department of Colloid and Lipid Science, Faculty of Chemistry, Gdańsk University of Technology, Narutowicza 11/12, 80-233 Gdańsk, Poland
| | - Jens Brockmeyer
- Department of Food Chemistry, Institute for Biochemistry and Technical Biochemistry, University of Stuttgart, Allmandring 5B, 70569 Stuttgart, Germany
| | - Andrzej Wasik
- Department of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology, Narutowicza 11/12, 80-233 Gdańsk, Poland
| | - Adam Macierzanka
- Department of Colloid and Lipid Science, Faculty of Chemistry, Gdańsk University of Technology, Narutowicza 11/12, 80-233 Gdańsk, Poland.
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2
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Prandi B, Righetti L, Caligiani A, Tedeschi T, Cirlini M, Galaverna G, Sforza S. Assessing food authenticity through protein and metabolic markers. ADVANCES IN FOOD AND NUTRITION RESEARCH 2022; 102:233-274. [PMID: 36064294 DOI: 10.1016/bs.afnr.2022.04.010] [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: 06/15/2023]
Abstract
This chapter aims to address an issue of ancient origins, but more and more topical in a globalized world in which consumers and stakeholders are increasingly aware: the authenticity of food. Foods are systems that can also be very complex, and verifying the correspondence between what is declared and the actual characteristics of the product is often a challenging issue. The complexity of the question we want to answer (is the food authentic?) means that the answer is equally articulated and makes use of many different analytical techniques. This chapter will consider the chemical analyses of foods aimed at guaranteeing their authenticity and will focus on frontier methods that have been developed in recent years to address the need to respond to ever-increasing guarantees of authenticity. Targeted and non-targeted approaches will be considered for verifying the authenticity of foods, through the study of different classes of constituents (proteins, metabolites, lipids, flavors). The numerous approaches available (proteomics, metabolomics, lipidomics) and the related analytical techniques (LC-MS, GC-MS, NMR) are first described from a more general point of view, after which their specific application for the purposes of authentication of food is addressed.
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Affiliation(s)
- Barbara Prandi
- Department of Food and Drug, University of Parma, Parma, Italy.
| | - Laura Righetti
- Department of Food and Drug, University of Parma, Parma, Italy
| | | | - Tullia Tedeschi
- Department of Food and Drug, University of Parma, Parma, Italy
| | - Martina Cirlini
- Department of Food and Drug, University of Parma, Parma, Italy
| | | | - Stefano Sforza
- Department of Food and Drug, University of Parma, Parma, Italy
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3
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Kang C, Zhang Y, Zhang M, Qi J, Zhao W, Gu J, Guo W, Li Y. Screening of specific quantitative peptides of beef by LC-MS/MS coupled with OPLS-DA. Food Chem 2022; 387:132932. [PMID: 35421655 DOI: 10.1016/j.foodchem.2022.132932] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 04/05/2022] [Accepted: 04/07/2022] [Indexed: 12/14/2022]
Abstract
A rapid, simple, and efficient analysis methodology for screening specific quantitative peptides of beef was established based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) coupled with orthogonal partial least squares-discriminant analysis (OPLS-DA). The OPLS-DA model was built to select species-specific peptides that make a significant contribution to classification. Peptides with statistical significance were selected based on the variable importance in the projection (VIP) values and univariate P values. After the workflow of the statistical process, three specific quantitative peptides were identified by using homemade products with different beef contents. A quantification method for selected specific quantitative peptides was established by using LC-MS/MS. The quantitative results were applied to commercialized beef products. The developed method has high sensitivity, specificity, and repeatability. The results of this study proved that the integration of LC-MS/MS coupled with OPLS-DA is an efficient method for screening specific quantitative peptides and identification of the authenticity of meat products.
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Affiliation(s)
- Chaodi Kang
- China Meat Research Center, 100068 Beijing, China
| | | | | | - Jing Qi
- China Meat Research Center, 100068 Beijing, China
| | - Wentao Zhao
- China Meat Research Center, 100068 Beijing, China
| | - Jin Gu
- China Meat Research Center, 100068 Beijing, China
| | - Wenping Guo
- China Meat Research Center, 100068 Beijing, China
| | - Yingying Li
- China Meat Research Center, 100068 Beijing, China.
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4
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Accardo F, Leni G, Tedeschi T, Prandi B, Sforza S. Structural and chemical changes induced by temperature and pH hinder the digestibility of whey proteins. Food Chem 2022; 387:132884. [PMID: 35397269 DOI: 10.1016/j.foodchem.2022.132884] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 04/01/2022] [Accepted: 04/01/2022] [Indexed: 11/16/2022]
Abstract
In the food and feed industry, protein extraction is commonly performed under acid or basic conditions, combined with heat, in order to increase the extraction yield. Under severe processing conditions, proteins may undergo molecular modifications. Here, the effects of heating (30, 60, 90 °C) at different pH values (2, 7, 9, 11, 13) were evaluated on commercial whey proteins, used as a simplified protein model. The main structure and chemical modifications concerning protein aggregation, hydrolysis, insolubilization, amino acid degradation and racemization were investigated in detail. Using in vitro static models, the degree of protein hydrolysis and the released peptides were determined after the digestive process. Accumulation of molecular modifications was mostly observed after basic pH and high temperatures treatments, together with a marked decrease and modification of the digestibility profile. Instead, protein digestibility increased in neutral and acidic conditions in a temperature-dependent manner, even if some modification in the structure occurs.
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Affiliation(s)
- Francesca Accardo
- Department of Food and Drug, University of Parma, Parco Area delle Scienze, 27/A, 43124 Parma, Italy.
| | - Giulia Leni
- Department of Food and Drug, University of Parma, Parco Area delle Scienze, 27/A, 43124 Parma, Italy.
| | - Tullia Tedeschi
- Department of Food and Drug, University of Parma, Parco Area delle Scienze, 27/A, 43124 Parma, Italy.
| | - Barbara Prandi
- Department of Food and Drug, University of Parma, Parco Area delle Scienze, 27/A, 43124 Parma, Italy.
| | - Stefano Sforza
- Department of Food and Drug, University of Parma, Parco Area delle Scienze, 27/A, 43124 Parma, Italy.
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5
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Zhang Y, Liu M, Wang S, Kang C, Zhang M, Li Y. Identification and quantification of fox meat in meat products by liquid chromatography-tandem mass spectrometry. Food Chem 2022; 372:131336. [PMID: 34818744 DOI: 10.1016/j.foodchem.2021.131336] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 09/02/2021] [Accepted: 10/03/2021] [Indexed: 12/16/2022]
Abstract
Over the years, food adulteration has become an important global problem, threatening public health safety and the healthy development of food industry. This study established a liquid chromatography-tandem mass (LC-MS/MS) method for accurate identification and quantitative analysis of fox meat products. High-resolution mass was used for data collection, and Proteome Discoverer was used for data analysis to screen fox-specific peptides. Multivariate statistical analysis was conducted using the data obtained from the label-free analysis of different contents of simulated samples. Samples with different contents were distinguished without interfering with each other, suggesting the feasibility of quantitative analysis of fox meat content. The linear correlation coefficient and recovery rate were calculated to determine the fox peptides that can be used for accurate quantification. The established LC-MS/MS method can be used for the accurate identification and quantification of actual samples. In addition, this method can provide technical support for law enforcement departments.
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Affiliation(s)
| | - Mengyao Liu
- China Meat Research Center, 100068 Beijing, China
| | - Shouwei Wang
- China Meat Research Center, 100068 Beijing, China
| | - Chaodi Kang
- China Meat Research Center, 100068 Beijing, China
| | | | - Yingying Li
- China Meat Research Center, 100068 Beijing, China.
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6
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Zhang M, Li Y, Zhang Y, Kang C, Zhao W, Ren N, Guo W, Wang S. Rapid LC-MS/MS method for the detection of seven animal species in meat products. Food Chem 2022; 371:131075. [PMID: 34543926 DOI: 10.1016/j.foodchem.2021.131075] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 08/07/2021] [Accepted: 09/05/2021] [Indexed: 12/20/2022]
Abstract
The adulteration of meat products has been reported worldwide, and detection of specific peptides through mass spectrometry (MS) is a reliable method for meat species identification. However, the practical application of this method is limited by complicated steps and long reaction time of the traditional sample preparation. Therefore, this paper introduced a convenient and time-saving sample preparation by optimizing the steps of reduction, alkylation, digestion, and purification. With the rapid sample preparation, 35 species-specific peptides for seven species (pig, cattle, sheep, deer, chicken, duck, and turkey) were screened using high-resolution MS, and a rapid LC-MS/MS method was established. The method only takes 3 h from sample receipt to results. The meat species of 20 processed meat products were detected, and three samples were found potentially adulterated. The method is proved to have high sensitivity, specificity, practicability with respect to rapid identification of meat species in meat products.
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Affiliation(s)
| | - Yingying Li
- China Meat Research Center, 100068 Beijing, China
| | | | - Chaodi Kang
- China Meat Research Center, 100068 Beijing, China
| | - Wentao Zhao
- China Meat Research Center, 100068 Beijing, China
| | - Nan Ren
- China Meat Research Center, 100068 Beijing, China
| | - Wenping Guo
- China Meat Research Center, 100068 Beijing, China
| | - Shouwei Wang
- China Meat Research Center, 100068 Beijing, China.
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7
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Butler F, Luijckx NL, Marvin HJP, Bouzembrak Y, Mojtahed V. Role of analytical testing for food fraud risk mitigation - A commentary on implementation of analytical fraud testing: Role of analytical testing for food fraud mitigation. Curr Res Food Sci 2021; 4:301-307. [PMID: 33997797 PMCID: PMC8105182 DOI: 10.1016/j.crfs.2021.03.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 03/30/2021] [Accepted: 03/30/2021] [Indexed: 11/05/2022] Open
Abstract
Food fraud is of high concern to the food industry. A multitude of analytical technologies exist to detect fraud. However, this testing is often expensive. Available databases detailing fraud occurrences were systematically examined to determine how frequently analytical testing triggered fraud detection. A conceptual framework was developed for deciding when to implement analytical testing programmes for fraud and a framework to consider the economic costs of fraud and the benefits of its early detection. Factors associated with statistical sampling for fraud detection were considered. Choice of sampling location on the overall food-chain may influence the likelihood of fraud detection. A conceptual framework was developed for deciding when to implement analytical testing programmes for fraud. A conceptual framework for the economic impact damage of food fraud is presented. Sampling for fraudulent activity poses several unique challenges compared to other food safety related sampling activities.
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Affiliation(s)
- Francis Butler
- UCD School of Biosystems and Food Engineering, University College Dublin, Belfield, Dublin 4, Ireland
| | | | - Hans J P Marvin
- Wageningen Food Safety Research, P.O. Box 230, 6700, AE, Wageningen, the Netherlands
| | - Yamine Bouzembrak
- Wageningen Food Safety Research, P.O. Box 230, 6700, AE, Wageningen, the Netherlands
| | - Vahid Mojtahed
- Institute for Global Food Security, Queen's University Belfast, University Road, Belfast, BT7 1NN, UK
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8
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Stachniuk A, Sumara A, Montowska M, Fornal E. LIQUID CHROMATOGRAPHY-MASS SPECTROMETRY BOTTOM-UP PROTEOMIC METHODS IN ANIMAL SPECIES ANALYSIS OF PROCESSED MEAT FOR FOOD AUTHENTICATION AND THE DETECTION OF ADULTERATIONS. MASS SPECTROMETRY REVIEWS 2021; 40:3-30. [PMID: 31498909 DOI: 10.1002/mas.21605] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
This review offers an overview of the current status and the most recent advances in liquid chromatography-mass spectrometry (LC-MS) techniques with both high-resolution and low-resolution tandem mass analyzers applied to the identification and detection of heat-stable species-specific peptide markers of meat in highly processed food products. We present sets of myofibrillar and sarcoplasmic proteins, which turned out to be the source of 105 heat-stable peptides, detectable in processed meat using LC-MS/MS. A list of heat-stable species-specific peptides was compiled for eleven types of white and red meat including chicken, duck, goose, turkey, pork, beef, lamb, rabbit, buffalo, deer, and horse meat, which can be used as markers for meat authentication. Among the 105 peptides, 57 were verified by multiple reaction monitoring, enabling identification of each species with high specificity and selectivity. The most described and monitored species by LC-MS/MS so far are chicken and pork with 26 confirmed heat-stable peptide markers for each meat. In thermally processed samples, myosin, myoglobin, hemoglobin, l-lactase dehydrogenase A and β-enolase are the main protein sources of heat-stable markers. © 2019 John Wiley & Sons Ltd. Mass Spec Rev.
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Affiliation(s)
- Anna Stachniuk
- Department of Pathophysiology, Medical University of Lublin, ul. Jaczewskiego 8b, 20-090, Lublin, Poland
| | - Agata Sumara
- Department of Pathophysiology, 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 Pathophysiology, Medical University of Lublin, ul. Jaczewskiego 8b, 20-090, Lublin, Poland
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9
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An Overview on Cyclic Fatty Acids as Biomarkers of Quality and Authenticity in the Meat Sector. Foods 2020; 9:foods9121756. [PMID: 33260946 PMCID: PMC7760578 DOI: 10.3390/foods9121756] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 11/24/2020] [Accepted: 11/25/2020] [Indexed: 11/25/2022] Open
Abstract
A survey was conducted to determine the content of cyclopropane fatty acids (CPFAs) and ω-cyclohexyl fatty acids (CHFAs) by using gas chromatography- mass spectrometry (GC-MS) and proton nuclear magnetic resonance (1H NMR) techniques in various meat samples from different species, including commercial samples and complex and thermally processed products (i.e., Bolognese sauce). The CPFAs concentration (as the sum of two isomers, namely dihydrosterculic acid and lactobacillic acid) in bovine meat fat (ranging between 70 and 465 mg/kg fat) was positively related to a silage-based diet, and therefore, they are potential biomarkers for monitoring the feeding system of cattle. CHFAs, such as 11-cyclohexylundecanoic and 13-cyclohexyltridecanoic acids, were only found in lipid profiles from ruminant species, and a linear trend was observed in their content, together with iso-branched fatty acids (iso-BCFAs) deriving from ruminal fermentation, as a function of bovine meat percentage in both raw and cooked minced meat. Thus, CHFAs are potential biomarkers for the assurance of the meat species and, combined with iso-BCFAs, of the beef/pork ratio even in complex meat matrices. The proposed approaches are valuable novel tools for meat authentication, which is pivotal in the management of meat quality, safety, and traceability.
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10
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Čapla J, Zajác P, Čurlej J, Belej Ľ, Kročko M, Bobko M, Benešová L, Jakabová S, Vlčko T. Procedures for the identification and detection of adulteration of fish and meat products. POTRAVINARSTVO 2020. [DOI: 10.5219/1474] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The addition or exchange of cheaper fish species instead of more expensive fish species is a known form of fraud in the food industry. This can take place accidentally due to the lack of expertise or act as a fraud. The interest in detecting animal species in meat products is based on religious demands (halal and kosher) as well as on product adulterations. Authentication of fish and meat products is critical in the food industry. Meat and fish adulteration, mainly for economic pursuit, is widespread and leads to serious public health risks, religious violations, and moral loss. Economically motivated adulteration of food is estimated to create damage of around € 8 to 12 billion per year. Rapid, effective, accurate, and reliable detection technologies are keys to effectively supervising meat and fish adulteration. Various analytical methods often based on protein or DNA measurements are utilized to identify fish and meat species. Although many strategies have been adopted to assure the authenticity of fish and meat and meat a fish products, such as the protected designation of origin, protected geographical indication, certificate of specific characteristics, and so on, the coverage is too small, and it is unrealistic to certify all meat products for protection from adulteration. Therefore, effective supervision is very important for ensuring the suitable development of the meat industry, and rapid, effective, accurate, and reliable detection technologies are fundamental technical support for this goal. Recently, several methods, including DNA analysis, protein analysis, and fat-based analysis, have been effectively employed for the identification of meat and fish species.
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11
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Leni G, Prandi B, Varani M, Faccini A, Caligiani A, Sforza S. Peptide fingerprinting of Hermetia illucens and Alphitobius diaperinus: Identification of insect species-specific marker peptides for authentication in food and feed. Food Chem 2020; 320:126681. [PMID: 32247168 DOI: 10.1016/j.foodchem.2020.126681] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 03/15/2020] [Accepted: 03/21/2020] [Indexed: 02/08/2023]
Abstract
Insects have been proposed as new source of proteins to meet the growing demand connected to the increasing world population. In the EU the inclusion of insect proteins in feed and food is strictly regulated. Hence, analytical methods able to discriminate and identify different insect species in food and feed are a necessity. In this work, a peptidomic approach was applied to determine peptide biomarkers for two edible insect species: lesser mealworm and black soldier fly. Three species specific peptide biomarkers were identified using LC-MS/MS. The two insects were mixed with fish standard feed at different concentrations, to evaluate the feasibility of their use as markers in complex matrices. The detection of marker peptides was confirmed down to 1% insect amount. The data here reported constitutes the first proof of concept for the potential application of the peptide marker approach for the identification and quantification of insect ingredients.
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Affiliation(s)
- Giulia Leni
- Department of Food and Drug, University of Parma, Parma, Italy
| | - Barbara Prandi
- Department of Food and Drug, University of Parma, Parma, Italy.
| | - Martina Varani
- Department of Food and Drug, University of Parma, Parma, Italy
| | - Andrea Faccini
- Centro Interdipartimentale Misure "Giuseppe Casnati", Parma, Italy
| | | | - Stefano Sforza
- Department of Food and Drug, University of Parma, Parma, Italy
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12
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Li YC, Liu SY, Meng FB, Liu DY, Zhang Y, Wang W, Zhang JM. Comparative review and the recent progress in detection technologies of meat product adulteration. Compr Rev Food Sci Food Saf 2020; 19:2256-2296. [PMID: 33337107 DOI: 10.1111/1541-4337.12579] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 05/06/2020] [Accepted: 05/06/2020] [Indexed: 12/11/2022]
Abstract
Meat adulteration, mainly for the purpose of economic pursuit, is widespread and leads to serious public health risks, religious violations, and moral loss. Rapid, effective, accurate, and reliable detection technologies are keys to effectively supervising meat adulteration. Considering the importance and rapid advances in meat adulteration detection technologies, a comprehensive review to summarize the recent progress in this area and to suggest directions for future progress is beneficial. In this review, destructive meat adulteration technologies based on DNA, protein, and metabolite analyses and nondestructive technologies based on spectroscopy were comparatively analyzed. The advantages and disadvantages, application situations of these technologies were discussed. In the future, determining suitable indicators or markers is particularly important for destructive methods. To improve sensitivity and save time, new interdisciplinary technologies, such as biochips and biosensors, are promising for application in the future. For nondestructive techniques, convenient and effective chemometric models are crucial, and the development of portable devices based on these technologies for onsite monitoring is a future trend. Moreover, omics technologies, especially proteomics, are important methods in laboratory detection because they enable multispecies detection and unknown target screening by using mass spectrometry databases.
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Affiliation(s)
- Yun-Cheng Li
- College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China.,Key Laboratory of Meat Processing of Sichuan Province, Chengdu University, Chengdu, China
| | - Shu-Yan Liu
- College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China
| | - Fan-Bing Meng
- College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China.,Key Laboratory of Meat Processing of Sichuan Province, Chengdu University, Chengdu, China
| | - Da-Yu Liu
- College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China.,Key Laboratory of Meat Processing of Sichuan Province, Chengdu University, Chengdu, China
| | - Yin Zhang
- College of Pharmacy and Biological Engineering, Chengdu University, Chengdu, China.,Key Laboratory of Meat Processing of Sichuan Province, Chengdu University, Chengdu, China
| | - Wei Wang
- Key Laboratory of Meat Processing of Sichuan Province, Chengdu University, Chengdu, China
| | - Jia-Min Zhang
- Key Laboratory of Meat Processing of Sichuan Province, Chengdu University, Chengdu, China
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13
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Khvostov D, Vostrikova N, Chernukha I. Comparison of heat-stable peptides using a multiple-reaction monitoring method to identify beef muscle tissue. POTRAVINARSTVO 2020. [DOI: 10.5219/1317] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
Nowadays, proteomics is widely used as an analytical control method. A new method for determining animal tissue species-specificity based on a combination of two effective methods of food analysis, liquid chromatography (LC) and mass spectrometry (MS), was used in this work. Using this approach, it became possible to detect peptides. This work presents a comparison of species-specific, heat-stable peptides for the identification of beef. The objects of the study were native and boiled model mixtures containing beef with concentrations of 8% (w/w) and 16% (w/w). Pork was also added to the recipe to control for false-positive results. A high-performance liquid chromatography technique with mass spectrometric detection (LC-MS/MS) was used. Analysis of finished samples takes 25 minutes and is adapted to detect marker peptides. From the processing of the obtained data, three beef marker peptides were identified that were accepted as the best candidates. Two peptide prototypes, NDMAAQYK and YLEFISDAIIHVLHAK from the myoglobin protein and SNVSDAVAQSAR from the triosephosphate isomerase protein, were selected as potential biomarkers. For all samples, the signal-to-noise ratio (S/N) was set above 10. Temperature was not found to affect the structure and detection of marker peptides in samples with a muscle tissue concentration of 8% (w/w) at p <0.05. This approach is universally applicable for comparing biomarkers of other types of meat and to identify the most suitable candidates.
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14
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Zia Q, Alawami M, Mokhtar NFK, Nhari RMHR, Hanish I. Current analytical methods for porcine identification in meat and meat products. Food Chem 2020; 324:126664. [PMID: 32380410 DOI: 10.1016/j.foodchem.2020.126664] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 03/20/2020] [Accepted: 03/20/2020] [Indexed: 12/21/2022]
Abstract
Authentication of meat products is critical in the food industry. Meat adulteration may lead to religious apprehensions, financial gain and food-toxicities such as meat allergies. Thus, empirical validation of the quality and constituents of meat is paramount. Various analytical methods often based on protein or DNA measurements are utilized to identify meat species. Protein-based methods, including electrophoretic and immunological techniques, are at times unsuitable for discriminating closely related species. Most of these methods have been replaced by more accurate and sensitive detection methods, such as DNA-based techniques. Emerging technologies like DNA barcoding and mass spectrometry are still in their infancy when it comes to their utilization in meat detection. Gold nanobiosensors have shown some promise in this regard. However, its applicability in small scale industries is distant. This article comprehensively reviews the recent developments in the field of analytical methods used for porcine identification.
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Affiliation(s)
- Qamar Zia
- A New Mind, Ash Shati, Al Qatif 32617-3732, Saudi Arabia.
| | - Mohammad Alawami
- A New Mind, Ash Shati, Al Qatif 32617-3732, Saudi Arabia; Depaartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, United Kingdom
| | | | | | - Irwan Hanish
- Halal Product Research Institute, Universiti Putra Malaysia, UPM Serdang, Selangor 43400, Malaysia; Department of Microbiology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, UPM Serdang, Selangor 43400, Malaysia
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15
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Prandi B, Lambertini F, Varani M, Faccini A, Suman M, Leporati A, Tedeschi T, Sforza S. Assessment of Enzymatic Improvers in Flours Using LC-MS/MS Detection of Marker Tryptic Peptides. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:240-248. [PMID: 32031395 DOI: 10.1021/jasms.9b00109] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Enzymatic improvers are enzymes obtained from microbial or fungal cultures, added as technical adjuvants to flour, with the aim of improving the dough characteristics in bakery products. They are used in a low ppm range and, being technical adjuvants, can go undeclared on the label. Many types of enzymatic improvers are present on the market, such as amylases, lipases, proteases, xylanases, glucose oxidases, and others, each with a different function. Analytical methods capable of detecting these enzymes are needed, particularly for bakery companies, in order to monitor the quality of raw materials and to detect any undeclared presence. In the present work, specific peptide markers, obtained by enzymatic digestion, have been used to detect the presence of enzymatic improvers by LC-MS/MS techniques. Promising results were obtained for some enzymes acting on the carbohydrate fraction (glucoamylase, glucose oxidase, xylanase) in which amounts as low as 20 ppm could be identified in blind flour samples. For lipases and proteases the method proved to be very effective in terms of specific identification, even if less sensitive.
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Affiliation(s)
- Barbara Prandi
- Department of Food and Drug , University of Parma , Parco Area delle Scienze 27/A , 43124 Parma , Italy
- Department of Human Sciences and Quality of Life Promotion , Telematic University San Raffaele Roma , via Val Cannuta 247 , 00166 Rome , Italy
| | - Francesca Lambertini
- Advanced Research Laboratory , Barilla G.R. F.lli SpA , via Mantova 166 , 43122 Parma , Italy
| | - Martina Varani
- Department of Food and Drug , University of Parma , Parco Area delle Scienze 27/A , 43124 Parma , Italy
| | - Andrea Faccini
- Interdepartmental Centre for Measurements , University of Parma , Parco Area delle Scienze 23/A , 43124 Parma , Italy
| | - Michele Suman
- Advanced Research Laboratory , Barilla G.R. F.lli SpA , via Mantova 166 , 43122 Parma , Italy
| | - Andrea Leporati
- Advanced Research Laboratory , Barilla G.R. F.lli SpA , via Mantova 166 , 43122 Parma , Italy
| | - Tullia Tedeschi
- Department of Food and Drug , University of Parma , Parco Area delle Scienze 27/A , 43124 Parma , Italy
| | - Stefano Sforza
- Department of Food and Drug , University of Parma , Parco Area delle Scienze 27/A , 43124 Parma , Italy
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16
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Zhang Y, Wang S, Ma Y, Li H, Li Y. Identification and absolute quantification of animal blood products by peptide markers using an UPLC–MS/MS method. Eur Food Res Technol 2020. [DOI: 10.1007/s00217-019-03421-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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17
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Sha XM, Hu ZZ, Ye YH, Xu H, Tu ZC. Effect of extraction temperature on the gelling properties and identification of porcine gelatin. Food Hydrocoll 2019. [DOI: 10.1016/j.foodhyd.2019.01.059] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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18
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Nunes KM, Andrade MVO, Almeida MR, Fantini C, Sena MM. Raman spectroscopy and discriminant analysis applied to the detection of frauds in bovine meat by the addition of salts and carrageenan. Microchem J 2019. [DOI: 10.1016/j.microc.2019.03.076] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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19
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Boschetti E, Hernández-Castellano LE, Righetti PG. Progress in farm animal proteomics: The contribution of combinatorial peptide ligand libraries. J Proteomics 2019; 197:1-13. [DOI: 10.1016/j.jprot.2019.02.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2018] [Revised: 01/17/2019] [Accepted: 02/07/2019] [Indexed: 02/08/2023]
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20
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Prandi B, Varani M, Faccini A, Lambertini F, Suman M, Leporati A, Tedeschi T, Sforza S. Species specific marker peptides for meat authenticity assessment: A multispecies quantitative approach applied to Bolognese sauce. Food Control 2019. [DOI: 10.1016/j.foodcont.2018.10.016] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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21
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Montowska M, Fornal E. Absolute quantification of targeted meat and allergenic protein additive peptide markers in meat products. Food Chem 2019; 274:857-864. [PMID: 30373020 DOI: 10.1016/j.foodchem.2018.08.131] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Revised: 08/23/2018] [Accepted: 08/28/2018] [Indexed: 12/11/2022]
Abstract
We present an implementation of the absolute quantification (AQUA) method for monitoring of peptide abundance in complex mixtures of processed proteins. Specific peptide markers from meats (chicken, duck, goose, pork and beef) and common protein allergenic additives (soy, milk and egg white preparations) were chosen and synthesised with stable isotopes (13C and 15N) for use as internal standards. A wide range of food samples, from cooked or raw meat to sterilised pâté, was analysed by a triggered multiple reaction monitoring mode experiment and triple quadrupole mass spectrometry for the direct measure of tryptic peptides representing the amounts of specific proteins. Considerable differences among the abundances of meat and non-meat proteins were observed, and illegal addition and replacement of ingredients were discovered, i.e. undeclared addition of pork and egg white proteins, and illegal substitution of veal, goose and duck meat with cheaper pork.
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Affiliation(s)
- Magdalena Montowska
- Department of Meat Technology, Poznan University of Life Sciences, Wojska Polskiego 31, Poznan 60-624, Poland.
| | - Emilia Fornal
- Department of Pathophysiology, Medical University of Lublin, Jaczewskiego 8b, Lublin 20-090, Poland.
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22
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Fornal E, Montowska M. Species-specific peptide-based liquid chromatography-mass spectrometry monitoring of three poultry species in processed meat products. Food Chem 2019; 283:489-498. [PMID: 30722903 DOI: 10.1016/j.foodchem.2019.01.074] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Revised: 12/28/2018] [Accepted: 01/08/2019] [Indexed: 12/23/2022]
Abstract
The detection of adulteration and mislabeling of food products, including intensively processed meat, is a challenge which needs urgent solutions to protect consumers' rights. The aim of the study was to demonstrate the feasibility of species-specific peptide-based LC-MS methods for monitoring duck, goose and chicken in processed meat products. Food commodities of various compositions, subjected to various treatments, including homogenization, cooking, roasting, drying, and sterilization during production, were examined to ensure that MS-based methods are resistant to matrix composition changes. A qualitative LC-QQQ multiple reaction monitoring (MRM) method was developed which allows high-confidence monitoring of duck, goose and chicken meat (ten specific peptides), simultaneously with beef and pork (seven peptides), in the presence of turkey meat, in highly processed food. The developed LC-MS methods can be used for food authentication, monitoring of the food composition conformity with label statements and detection of adulteration of poultry-containing food products.
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Affiliation(s)
- Emilia Fornal
- Department of Pathophysiology, 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.
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23
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The scientific challenges in moving from targeted to non-targeted mass spectrometric methods for food fraud analysis: A proposed validation workflow to bring about a harmonized approach. Trends Food Sci Technol 2018. [DOI: 10.1016/j.tifs.2018.08.007] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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24
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Quantification of species-specific meat proteins in cooked and smoked sausages using infusion mass spectrometry. Journal of Food Science and Technology 2018; 55:4984-4993. [PMID: 30482994 PMCID: PMC6233461 DOI: 10.1007/s13197-018-3437-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Revised: 04/16/2018] [Accepted: 09/11/2018] [Indexed: 11/08/2022]
Abstract
Label-free quantification combined with high-resolution infusion-based mass spectrometry (MS) was evaluated to authenticate ‘horse sausages’ made from horse meat and pork. Four types of industrially processed sausages, including cooked horse meat, pork and beef, and their mixtures were analysed. Quantitation and evaluation of the species composition were based on a set of 11 species-specific meat proteins and 14 unique heat-stable peptide markers. Using infusion MS, the highest distinguishing value was found in four proteins, namely, horse myosin-7 (MYH7_HORSE) and horse myoglobin (MYG_HORSE), porcine myosin-4 (MYH4_PIG) and bovine myoglobin (MYG_BOVIN). The limit of detection was 5% (w/w) for pork and beef in the three-component matrix and 1% (w/w) for horse meat. The proteins’ abundance was computed using a peak intensity measurement technique for precursor ions, based on the extracted ion currents/intensities of precursor ions. The procedure enabled discrimination between horse meat, pork and beef proteins, as well as estimation of the relative changes in protein abundance in all the examined samples. Substantial differences in the abundance of specific proteins were obtained from the pure meat samples, three-component mixtures and commercial sausages. The method may be useful in the preliminary screening of protein-rich food samples, aimed at fraud detection and estimation of the overall level of adulteration.
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25
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Valdés A, Beltrán A, Mellinas C, Jiménez A, Garrigós MC. Analytical methods combined with multivariate analysis for authentication of animal and vegetable food products with high fat content. Trends Food Sci Technol 2018. [DOI: 10.1016/j.tifs.2018.05.014] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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26
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Tedeschi T, Prandi B, Buhler S, Caligiani A, Galaverna G, Sforza S. Peptides as probes for food authentication. Pept Sci (Hoboken) 2018. [DOI: 10.1002/pep2.24068] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Tullia Tedeschi
- Food and Drug Department, Parco Area delle Scienze 27/AUniversity of ParmaParma43124 Italy
| | - Barbara Prandi
- Food and Drug Department, Parco Area delle Scienze 27/AUniversity of ParmaParma43124 Italy
- Department of Human Sciences and Quality of Life Promotion, via Val Cannuta 247Telematic University San Raffaele RomaRome Italy
| | - Sofie Buhler
- Food and Drug Department, Parco Area delle Scienze 27/AUniversity of ParmaParma43124 Italy
| | - Augusta Caligiani
- Food and Drug Department, Parco Area delle Scienze 27/AUniversity of ParmaParma43124 Italy
| | - Gianni Galaverna
- Food and Drug Department, Parco Area delle Scienze 27/AUniversity of ParmaParma43124 Italy
| | - Stefano Sforza
- Food and Drug Department, Parco Area delle Scienze 27/AUniversity of ParmaParma43124 Italy
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27
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Hołda K, Natonek-Wiśniewska M, Krzyścin P, Głogowski R. Qualitative and quantitative detection of chicken deoxyribonucleic acid (DNA) in dry dog foods. J Anim Physiol Anim Nutr (Berl) 2018; 102 Suppl 1:37-42. [PMID: 29623687 DOI: 10.1111/jpn.12887] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2017] [Accepted: 02/15/2018] [Indexed: 11/28/2022]
Abstract
Chicken is a common protein source in pet foods and is concurrently listed among food allergens. Commercial over-the-counter (OTC) diets with an alternative animal protein source are considered suitable for dietary elimination trials by pet owners. The potential presence of undeclared chicken-derived ingredients in these diets can compromise the outcome of the trial during the diagnosis of adverse food reactions. The aim of this study was to selectively verify the absence or presence of chicken DNA in 10 OTC dry canine foods, using qualitative and quantitative approaches. The method of identification of chicken-derived protein was elaborated with the polymerase chain reaction (PCR) technology, whereas quantitative real-time PCR was used for the quantitative assessment. In most of the analysed samples, the chicken DNA was detectable; however, the quantified amounts were predominantly low, although differences between batches were observed.
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Affiliation(s)
- K Hołda
- Department of Animal Breeding and Production, Faculty of Animal Sciences, Warsaw University of Life Sciences, Warsaw, Poland
| | - M Natonek-Wiśniewska
- Department of Genomics and Animal Molecular Biology, National Research Institute of Animal Production, Balice, Poland
| | - P Krzyścin
- Department of Genomics and Animal Molecular Biology, National Research Institute of Animal Production, Balice, Poland
| | - R Głogowski
- Department of Animal Breeding and Production, Faculty of Animal Sciences, Warsaw University of Life Sciences, Warsaw, Poland
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28
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Pan XD, Chen J, Chen Q, Huang BF, Han JL. Authentication of pork in meat mixtures using PRM mass spectrometry of myosin peptides. RSC Adv 2018; 8:11157-11162. [PMID: 35541512 PMCID: PMC9078958 DOI: 10.1039/c8ra00926k] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Accepted: 03/12/2018] [Indexed: 11/29/2022] Open
Abstract
Adulteration of meat products is a major concern not only for economic fraud, but also for ethical reasons. In this study, we presented a parallel reaction monitoring (PRM) mass spectrometry approach for detection of trace pork in meat mixtures (chicken, sheep, and beef). Specific peptides were identified and screened by a shotgun proteomic approach based on tryptic digests of certain protein. Five surrogate peptides from myosin were screened and then used for pork detection by PRM of Orbitrap MS. When the most sensitive peptide was selected, the LOD in mixed meat can be up to 0.5%. The RSD values between detected and designated pork levels (1%, 5% and 50%) were 4–15%. The targeted method developed can be applied to identify and quantify the pork in meat mixture. Adulteration of meat products is a major concern not only for economic fraud, but also for ethical reasons.![]()
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Affiliation(s)
- Xiao-Dong Pan
- Zhejiang Provincial Center for Disease Control and Prevention
- Hangzhou
- China
| | - Jiang Chen
- Zhejiang Provincial Center for Disease Control and Prevention
- Hangzhou
- China
| | - Qing Chen
- Zhejiang Provincial Center for Disease Control and Prevention
- Hangzhou
- China
| | - Bai-Fen Huang
- Zhejiang Provincial Center for Disease Control and Prevention
- Hangzhou
- China
| | - Jian-Long Han
- Zhejiang Provincial Center for Disease Control and Prevention
- Hangzhou
- China
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29
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Montowska M, Fornal E. Detection of peptide markers of soy, milk and egg white allergenic proteins in poultry products by LC-Q-TOF-MS/MS. Lebensm Wiss Technol 2018. [DOI: 10.1016/j.lwt.2017.08.091] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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30
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Label-free quantification of meat proteins for evaluation of species composition of processed meat products. Food Chem 2017; 237:1092-1100. [DOI: 10.1016/j.foodchem.2017.06.059] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2017] [Revised: 05/16/2017] [Accepted: 06/07/2017] [Indexed: 01/01/2023]
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31
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