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Dias C, Costa J, Mafra I, Fernandes D, Brandão ATSC, Silva AF, Pereira CM, Costa R. Electrochemical immunosensor for point-of-care detection of soybean Gly m TI allergen in foods. Talanta 2024; 268:125284. [PMID: 37866307 DOI: 10.1016/j.talanta.2023.125284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 10/02/2023] [Accepted: 10/05/2023] [Indexed: 10/24/2023]
Abstract
Soybean is a legume with high technological functionality, commonly used by the food industry as an ingredient in different products. However, soybean is an allergenic food whose undeclared presence in processed foods may represent a public health risk. In this work, it was developed an efficient electrochemical immunosensor, targeting the soybean trypsin inhibitor (Gly m TI) allergen using commercial anti-Gly m TI IgG, aiming at detecting/quantifying minute amounts of soybean in different food formulations. For this purpose, model mixtures of different foods (sausages, cooked-hams, biscuits) were prepared to contain known amounts of soybean protein isolate (100,000-0.1 mg kg-1) and submitted to specific thermal treatments (autoclaving, oven-cooking, baking). The electrochemical immunosensor allowed quantifying down to 0.1 mg kg-1 of soybean in the three food matrices, raw and processed (0.0012 mg of Gly m TI/kg of matrix). Accordingly, the immunosensor is suitable for detecting traces of soybean in raw, processed, and complex foods, thus protecting 99 % of soybean-allergic patients.
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Affiliation(s)
- Catarina Dias
- Centro de Investigação em Química da Universidade do Porto/Instituto de Ciências Moleculares (CIQUP-IMS), Faculdade de Ciências da Universidade do Porto, Departamento de Química e Bioquímica, Rua do Campo Alegre 687, 4169-007, Porto, Portugal
| | - Joana Costa
- REQUIMTE-LAQV, Faculdade de Farmácia da Universidade do Porto, Rua de Jorge Viterbo Ferreira, 228, Porto, Portugal
| | - Isabel Mafra
- REQUIMTE-LAQV, Faculdade de Farmácia da Universidade do Porto, Rua de Jorge Viterbo Ferreira, 228, Porto, Portugal
| | - Daniela Fernandes
- Centro de Investigação em Química da Universidade do Porto/Instituto de Ciências Moleculares (CIQUP-IMS), Faculdade de Ciências da Universidade do Porto, Departamento de Química e Bioquímica, Rua do Campo Alegre 687, 4169-007, Porto, Portugal
| | - Ana T S C Brandão
- Centro de Investigação em Química da Universidade do Porto/Instituto de Ciências Moleculares (CIQUP-IMS), Faculdade de Ciências da Universidade do Porto, Departamento de Química e Bioquímica, Rua do Campo Alegre 687, 4169-007, Porto, Portugal
| | - A Fernando Silva
- Centro de Investigação em Química da Universidade do Porto/Instituto de Ciências Moleculares (CIQUP-IMS), Faculdade de Ciências da Universidade do Porto, Departamento de Química e Bioquímica, Rua do Campo Alegre 687, 4169-007, Porto, Portugal
| | - Carlos M Pereira
- Centro de Investigação em Química da Universidade do Porto/Instituto de Ciências Moleculares (CIQUP-IMS), Faculdade de Ciências da Universidade do Porto, Departamento de Química e Bioquímica, Rua do Campo Alegre 687, 4169-007, Porto, Portugal
| | - Renata Costa
- Centro de Investigação em Química da Universidade do Porto/Instituto de Ciências Moleculares (CIQUP-IMS), Faculdade de Ciências da Universidade do Porto, Departamento de Química e Bioquímica, Rua do Campo Alegre 687, 4169-007, Porto, Portugal.
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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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Holzhauser T, Johnson P, Hindley JP, O'Connor G, Chan CH, Costa J, Fæste CK, Hirst BJ, Lambertini F, Miani M, Robert MC, Röder M, Ronsmans S, Bugyi Z, Tömösközi S, Flanagan SD. Are current analytical methods suitable to verify VITAL® 2.0/3.0 allergen reference doses for EU allergens in foods? Food Chem Toxicol 2020; 145:111709. [PMID: 32866515 DOI: 10.1016/j.fct.2020.111709] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 08/21/2020] [Accepted: 08/24/2020] [Indexed: 01/25/2023]
Abstract
Food allergy affects up to 6% of Europeans. Allergen identification is important for the risk assessment and management of the inadvertent presence of allergens in foods. The VITAL® initiative for voluntary incidental trace allergen labeling suggests protein reference doses, based on clinical reactivity in food challenge studies, at or below which voluntary labelling is unnecessary. Here, we investigated if current analytical methodology could verify the published VITAL® 2.0 doses, that were available during this analysis, in serving sizes between 5 and 500 g. Available data on published and commercial ELISA, PCR and mass spectrometry methods, especially for the detection of peanuts, soy, hazelnut, wheat, cow's milk and hen's egg were reviewed in detail. Limit of detection, quantitative capability, matrix compatibility, and specificity were assessed. Implications by the recently published VITAL® 3.0 doses were also considered. We conclude that available analytical methods are capable of reasonably robust detection of peanut, soy, hazelnut and wheat allergens for levels at or below the VITAL® 2.0 and also 3.0 doses, with some methods even capable of achieving this in a large 500 g serving size. Cow's milk and hen's egg are more problematic, largely due to matrix/processing incompatibility. An unmet need remains for harmonized reporting units, available reference materials, and method ring-trials to enable validation and the provision of comparable measurement results.
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Affiliation(s)
- Thomas Holzhauser
- Paul-Ehrlich-Institut, Division of Allergology, D-63225, Langen, Germany.
| | - Philip Johnson
- University of Nebraska-Lincoln, Department of Food Science and Technology, FARRP, Rm 266 Food Innovation Center, 1901 N 21 Street, PO Box 886207, Lincoln, NE, 68588-6207, USA.
| | | | - Gavin O'Connor
- Physikalisch-Technische Bundesanstalt, Bundesallee 100, 38116, Braunschweig, Germany.
| | | | - Joana Costa
- REQUIMTE-LAQV, Faculdade de Farmácia, Universidade do Porto, Rua de Jorge Viterbo Ferreira, 228, 4050-313, Porto, Portugal.
| | - Christiane K Fæste
- Norwegian Veterinary Institute, Toxicology Research Group, P.O. Box 750 Sentrum, 0106, Oslo, Norway.
| | | | | | - Michela Miani
- International Life Sciences Institute, European Branch, ILSI Europe a.i.s.b.l., Brussels, Belgium.
| | - Marie-Claude Robert
- Nestlé Research, Institute of Food Safety and Analytical Sciences, Lausanne, Switzerland.
| | - Martin Röder
- Ifp Institut für Produktqualität GmbH, Wagner-Régeny-Str. 8, 12489, Berlin, Germany.
| | | | - Zsuzsanna Bugyi
- Budapest University of Technology and Economics, Department of Applied Biotechnology and Food Science, Research Group of Cereal Science and Food Quality, Budapest, Hungary.
| | - Sándor Tömösközi
- Budapest University of Technology and Economics, Department of Applied Biotechnology and Food Science, Research Group of Cereal Science and Food Quality, Budapest, Hungary.
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Smirnova NI, Zvereva EA, Zherdev AV, Dzantiev BB. Development of Immunoenzyme Assay for Detection of Soybean Raw Material in Food Products. APPL BIOCHEM MICRO+ 2020. [DOI: 10.1134/s0003683820040158] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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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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Hou SW, Wei W, Wang Y, Gan JH, Lu Y, Tao NP, Wang XC, Liu Y, Xu CH. Integrated recognition and quantitative detection of starch in surimi by infrared spectroscopy and spectroscopic imaging. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2019; 215:1-8. [PMID: 30818215 DOI: 10.1016/j.saa.2019.02.080] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2018] [Revised: 01/11/2019] [Accepted: 02/17/2019] [Indexed: 06/09/2023]
Abstract
Surimi products have become increasingly-consumed food with prominent characteristics of high nutrition and convenience and its supply falls short of demand. However, due to exhausted fishery resource in recent years, surimi adulteration, such as addition of plant proteins, starch and other animal origin meat, is becoming serious, so recognition of these exogenous substances has become an urgent issue. In this study, Fourier transform infrared spectroscopy (FT-IR) combined with infrared spectroscopic imaging could distinguish heterogeneity in surimi qualitatively and quantitatively and obtain integral chemical images so that spatial distribution of each component in surimi could be visually displayed, thus a rapid recognition method and a prediction model were developed. The different starch contents in surimi had been primarily identified through intensity change of infrared absorption peaks at 1045cm-1 and 988cm-1, specifically with peak shifts to 1041cm-1 and to 992cm-1, respectively. In infrared imaging analysis, principal components (PCs) were separated and one key PC was confirmed as starch by characteristic peaks comparison at 1147cm-1, 1075cm-1, 997cm-1 and 930cm-1. Meanwhile, an established statistic model could predict starch content in surimi correctly with a reliable correlation coefficient (R=0.9856) and root mean square error of prediction (RMSEP=5.64). Therefore, FT-IR combined with infrared spectroscopic imaging could be applicable to integrally recognize and quantitatively detect starch in surimi.
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Affiliation(s)
- Shi-Wei Hou
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Wei Wei
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Yang Wang
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300112, China
| | - Jian-Hong Gan
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Ying Lu
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Ning-Ping Tao
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Xi-Chang Wang
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Yuan Liu
- Department of Food Science and Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Chang-Hua Xu
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, China; Shanghai Engineering Research Center of Aquatic-Product Processing & Preservation, Shanghai 201306, China; Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai 201306, China; National R&D Branch Center for Freshwater Aquatic Products Processing Technology (Shanghai), Shanghai 201306, China.
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Sharma GM, Khuda SE, Parker CH, Eischeid AC, Pereira M. Detection of Allergen Markers in Food: Analytical Methods. Food Saf (Tokyo) 2016. [DOI: 10.1002/9781119160588.ch4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
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8
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Costa J, Fernandes TJ, Villa C, P.P. Oliveira MB, Mafra I. Advances in Food Allergen Analysis. Food Saf (Tokyo) 2016. [DOI: 10.1002/9781119160588.ch9] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
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