1
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Suh SM, Kim K, Yang SM, Lee H, Jun M, Byun J, Lee H, Kim D, Lee D, Cha JE, Kim JS, Kim E, Park ZY, Kim HY. Comparative analysis of LC-MS/MS and real-time PCR assays for efficient detection of potential allergenic silkworm. Food Chem 2024; 445:138761. [PMID: 38367561 DOI: 10.1016/j.foodchem.2024.138761] [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: 09/20/2023] [Revised: 02/13/2024] [Accepted: 02/13/2024] [Indexed: 02/19/2024]
Abstract
The silkworm (Bombyx mori) has long been valued food and feed in East Asia for its abundant nutritional and medicinal attributes, conversely, it can elicit allergic responses in susceptible individuals. Therefore, the development of silkworm detection method is required to avert allergenic incidents. In this study, two methodologies, tandem mass spectrometry (LC-MS/MS) and real-time PCR, were developed to achieve effective silkworm detection. These methods exhibited exceptional sensitivity in identifying silkworm presence in processed foods. Furthermore, model cookies spiked with silkworm were used to validate the sensitivities of LC-MS/MS (0.0005%) and real-time PCR (0.001%). Overall, these techniques were useful for trace silkworm detection in food products; therefore, they may help prevent allergic reactions. To the best of our knowledge, this study represents the first comparison of LC-MS/MS and real-time PCR methods for silkworm detection, marking an important contribution to the field. Data are available from ProteomeXchange under identifier PXD042494.
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Affiliation(s)
- Seung-Man Suh
- Institute of Life Sciences & Resources and Department of Food Science & Biotechnology, Kyung Hee University, Yongin 17104, Republic of Korea
| | - Kyungdo Kim
- School of Life Science, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
| | - Seung-Min Yang
- Institute of Life Sciences & Resources and Department of Food Science & Biotechnology, Kyung Hee University, Yongin 17104, Republic of Korea
| | - Hana Lee
- School of Life Science, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
| | - Minkyung Jun
- School of Life Science, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
| | - Jisun Byun
- School of Life Science, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
| | - Hyeongjoo Lee
- School of Life Science, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
| | - Daseul Kim
- School of Life Science, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
| | - Dain Lee
- School of Life Science, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
| | - Jae-Eun Cha
- Institute of Life Sciences & Resources and Department of Food Science & Biotechnology, Kyung Hee University, Yongin 17104, Republic of Korea
| | - Jun-Su Kim
- Institute of Life Sciences & Resources and Department of Food Science & Biotechnology, Kyung Hee University, Yongin 17104, Republic of Korea
| | - Eiseul Kim
- Institute of Life Sciences & Resources and Department of Food Science & Biotechnology, Kyung Hee University, Yongin 17104, Republic of Korea
| | - Zee-Yong Park
- School of Life Science, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea.
| | - Hae-Yeong Kim
- Institute of Life Sciences & Resources and Department of Food Science & Biotechnology, Kyung Hee University, Yongin 17104, Republic of Korea.
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2
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Bianco M, Ventura G, Calvano CD, Losito I, Cataldi TRI. Food allergen detection by mass spectrometry: From common to novel protein ingredients. Proteomics 2023; 23:e2200427. [PMID: 37691088 DOI: 10.1002/pmic.202200427] [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: 05/30/2023] [Revised: 08/04/2023] [Accepted: 08/10/2023] [Indexed: 09/12/2023]
Abstract
Food allergens are molecules, mainly proteins, that trigger immune responses in susceptible individuals upon consumption even when they would otherwise be harmless. Symptoms of a food allergy can range from mild to acute; this last effect is a severe and potentially life-threatening reaction. The European Union (EU) has identified 14 common food allergens, but new allergens are likely to emerge with constantly changing food habits. Mass spectrometry (MS) is a promising alternative to traditional antibody-based assays for quantifying multiple allergenic proteins in complex matrices with high sensitivity and selectivity. Here, the main allergenic proteins and the advantages and drawbacks of some MS acquisition protocols, such as multiple reaction monitoring (MRM) and data-dependent analysis (DDA) for identifying and quantifying common allergenic proteins in processed foodstuffs are summarized. Sections dedicated to novel foods like microalgae and insects as new sources of allergenic proteins are included, emphasizing the significance of establishing stable marker peptides and validated methods using database searches. The discussion involves the in-silico digestion of allergenic proteins, providing insights into their potential impact on immunogenicity. Finally, case studies focussing on microalgae highlight the value of MS as an effective analytical tool for ensuring regulatory compliance throughout the food control chain.
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Affiliation(s)
- Mariachiara Bianco
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Giovanni Ventura
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Bari, Italy
- Centro interdipartimentale SMART, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Cosima D Calvano
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Bari, Italy
- Centro interdipartimentale SMART, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Ilario Losito
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Bari, Italy
- Centro interdipartimentale SMART, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Tommaso R I Cataldi
- Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Bari, Italy
- Centro interdipartimentale SMART, Università degli Studi di Bari Aldo Moro, Bari, Italy
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3
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Gut Microbiome Proteomics in Food Allergies. Int J Mol Sci 2023; 24:ijms24032234. [PMID: 36768555 PMCID: PMC9917015 DOI: 10.3390/ijms24032234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/17/2023] [Accepted: 01/19/2023] [Indexed: 01/26/2023] Open
Abstract
Food allergies (FA) have dramatically increased in recent years, particularly in developed countries. It is currently well-established that food tolerance requires the strict maintenance of a specific microbial consortium in the gastrointestinal (GI) tract microbiome as alterations in the gut microbiota can lead to dysbiosis, causing inflammation and pathogenic intestinal conditions that result in the development of FA. Although there is currently not enough knowledge to fully understand how the interactions between gut microbiota, host responses and the environment cause food allergies, recent advances in '-omics' technologies (i.e., proteomics, genomics, metabolomics) and in approaches involving systems biology suggest future headways that would finally allow the scientific understanding of the relationship between gut microbiome and FA. This review summarizes the current knowledge in the field of FA and insights into the future advances that will be achieved by applying proteomic techniques to study the GI tract microbiome in the field of FA and their medical treatment. Metaproteomics, a proteomics experimental approach of great interest in the study of GI tract microbiota, aims to analyze and identify all the proteins in complex environmental microbial communities; with shotgun proteomics, which uses liquid chromatography (LC) for separation and tandem mass spectrometry (MS/MS) for analysis, as it is the most promising technique in this field.
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4
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Tree Nuts and Peanuts as a Source of Beneficial Compounds and a Threat for Allergic Consumers: Overview on Methods for Their Detection in Complex Food Products. Foods 2022; 11:foods11050728. [PMID: 35267361 PMCID: PMC8909911 DOI: 10.3390/foods11050728] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 02/15/2022] [Accepted: 02/25/2022] [Indexed: 12/18/2022] Open
Abstract
Consumption of tree nuts and peanuts has considerably increased over the last decades due to their nutritional composition and the content of beneficial compounds. On the other hand, such widespread consumption worldwide has also generated a growing incidence of allergy in the sensitive population. Allergy to nuts and peanuts represents a global relevant problem, especially due to the risk of the ingestion of hidden allergens as a result of cross-contamination between production lines at industrial level occurring during food manufacturing. The present review provides insights on peanuts, almonds, and four nut allergens—namely hazelnuts, walnuts, cashew, and pistachios—that are likely to cross-contaminate different food commodities. The paper aims at covering both the biochemical aspect linked to the identified allergenic proteins for each allergen category and the different methodological approaches developed for allergens detection and identification. Attention has been also paid to mass spectrometry methods and to current efforts of the scientific community to identify a harmonized approach for allergens quantification through the detection of allergen markers.
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5
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Chang Y, Peng H, Zhang G. Development of a simplified, sensitive, and accurate LC-MS/MS method for peanut quantification in wheat flour-based dry matrices. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2021; 38:1260-1272. [PMID: 34047678 DOI: 10.1080/19440049.2021.1923822] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
In this study, an ELISA-based method was observed to overestimate quantification of peanut in three wheat flour-based dry matrices (both raw and cooked). A reliable method using liquid chromatography tandem mass spectrometry (LC-MS/MS) was developed to quantify peanut accurately in these matrices. This method simplified both sample preparation and quantification compared with previous approaches, by digesting peanut proteins without reduction and alkylation and using Ara h 1 to build calibration curves. A significantly increased amount of peanut peptides was detected by heating the extracts. The sensitivity and linearity were superior to most commercial ELISA kits. The limit of quantification (LOQ) was 0.31 mg/kg total peanut in wheat flour and the linear range was between 0.3 and 40 mg/kg. This LC-MS/MS method could be applied as a confirmatory method for peanut allergen management when positive ELISA results raise suspicion of contamination.
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Affiliation(s)
- Yuwei Chang
- Mars Global Food Safety Center, Beijing, China
| | - Hong Peng
- Mars Global Food Safety Center, Beijing, China
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6
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Chen S, Yang C, Downs M. Targeted mass spectrometry quantification of total soy protein residues from commercially processed ingredients for food allergen management. J Proteomics 2021; 239:104194. [PMID: 33757881 DOI: 10.1016/j.jprot.2021.104194] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 03/08/2021] [Accepted: 03/11/2021] [Indexed: 12/21/2022]
Abstract
Soybean is one of the most commonly allergenic foods in the U.S. However, the variety of commercial soy ingredients used in the food industry makes soybean a challenging allergen to detect and quantify. The processing methods used to produce soy-derived ingredients result in protein modifications that often substantially impact detection and quantification with commonly used antibody-based methods. This study aimed to develop a mass spectrometry (MS)-based method capable of quantifying commercially processed soy ingredients in food matrices. A quantification strategy using external standards with internal calibrants was developed and evaluated, resulting in the ultimate use of a matrix-independent standard curve of non-roasted soy flour with milk proteins as carrier proteins. The method performance was evaluated by quantifying six soy-derived ingredients in incurred food matrices using three quantification strategies. Out of the twelve ingredient-matrix combinations with 10 ppm incurred total soy protein, eight had maximum recoveries between 60 and 120% using the full standard curve strategy. Other quantification strategies may be useful for internal quality control and interlaboratory calibrations. Compared with three commercial ELISA kits, the MS method showed a substantial advantage in quantifying the highly processed soy proteins in food matrices. SIGNIFICANCE: The ability to quantify undeclared soy protein in food products regardless of the soy ingredient source is essential for food allergen management, risk assessment, and regulatory enforcement. The MS-based method described here is able to reliably quantify six different soy-derived ingredients incurred in a model processed food. When compared with existing commercial ELISA methods, the MS method is much less affected by matrices and ingredient types, indicating its wider applicability to a range of soy-derived ingredients and processed products.
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Affiliation(s)
- Shimin Chen
- Food Allergy Research and Resource Program, Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, NE 68588, United States.
| | - Charles Yang
- Thermo Fisher Scientific, San Jose, California 95134, United States.
| | - Melanie Downs
- Food Allergy Research and Resource Program, Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, NE 68588, United States.
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7
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Pilolli R, Van Poucke C, De Angelis E, Nitride C, de Loose M, Gillard N, Huet AC, Tranquet O, Larré C, Adel-Patient K, Bernard H, Mills ENC, Monaci L. Discovery based high resolution MS/MS analysis for selection of allergen markers in chocolate and broth powder matrices. Food Chem 2020; 343:128533. [PMID: 33183874 DOI: 10.1016/j.foodchem.2020.128533] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 10/19/2020] [Accepted: 10/29/2020] [Indexed: 12/12/2022]
Abstract
Peptide marker identification is an important step in development of a mass spectrometry method for multiple allergen detection, since specificity, robustness and sensitivity of the overall analytical method will depend on the reliability of the proteotypic peptides. As part of the development of a multi-analyte reference method, discovery analysis of two incurred food matrices has been undertaken to select the most reliable peptide markers. Six allergenic ingredients (milk, egg, peanut, soybean, hazelnut, and almond) were incurred into either chocolate or broth powder matrix. Different conditions of protein extraction and purification were tested and the tryptic peptide pools were analysed by untargeted high resolution tandem mass spectrometry and the resulting fragmentation spectra were processed via a commercial software for sequence identification. The analysis performed on incurred foods provides both a prototype effective and straightforward sample preparation protocol and delivers reliable peptides to be included in a standardized selected reaction monitoring method.
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Affiliation(s)
- Rosa Pilolli
- Institute of Sciences of Food Production, CNR-ISPA, Bari, Italy
| | - Christof Van Poucke
- Flanders Research Institute for Agriculture, Fisheries and Food, Melle, Belgium
| | | | - Chiara Nitride
- School of Biological Sciences, Division of Infection, Immunity and Respiratory Medicine, Manchester Academic Health Science Centre, Manchester Institute of Biotechnology, The University of Manchester, UK
| | - Marc de Loose
- Flanders Research Institute for Agriculture, Fisheries and Food, Melle, Belgium
| | | | | | | | | | - Karine Adel-Patient
- INRA-CEA, Service de Pharmacologie et d'Immunoanalyse, Laboratoire d'Immuno-Allergie Alimentaire, Gif-sur-Yvette, France
| | - Hervé Bernard
- INRA-CEA, Service de Pharmacologie et d'Immunoanalyse, Laboratoire d'Immuno-Allergie Alimentaire, Gif-sur-Yvette, France
| | - E N Clare Mills
- School of Biological Sciences, Division of Infection, Immunity and Respiratory Medicine, Manchester Academic Health Science Centre, Manchester Institute of Biotechnology, The University of Manchester, UK
| | - Linda Monaci
- Institute of Sciences of Food Production, CNR-ISPA, Bari, Italy.
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8
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Monaci L, De Angelis E, Montemurro N, Pilolli R. Comprehensive overview and recent advances in proteomics MS based methods for food allergens analysis. Trends Analyt Chem 2018. [DOI: 10.1016/j.trac.2018.06.016] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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9
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Bräcker J, Brockmeyer J. Characterization and Detection of Food Allergens Using High-Resolution Mass Spectrometry: Current Status and Future Perspective. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2018; 66:8935-8940. [PMID: 30080969 DOI: 10.1021/acs.jafc.8b02265] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Allergic reactions to food are among the major food safety concerns in industrialized countries, and it is estimated that approximately 5% of the population suffers from immunoglobulin-E-mediated food allergy. High-resolution mass spectrometry has become one of the most important techniques for the molecular characterization of allergens, including structural modification, degradation in the gastrointestinal environment, or identification of suitable marker peptides for the development of novel analytical approaches, in the past decade. This perspective aims to briefly summarize the current situation and discuss future developments.
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Affiliation(s)
- Julia Bräcker
- Institute of Biochemistry and Technical Biochemistry, Department of Food Chemistry , University of Stuttgart , Allmandring 5b , 70569 Stuttgart , Germany
| | - Jens Brockmeyer
- Institute of Biochemistry and Technical Biochemistry, Department of Food Chemistry , University of Stuttgart , Allmandring 5b , 70569 Stuttgart , Germany
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10
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Puente-Lelievre C, Eischeid AC. Development and Evaluation of a Real-Time PCR Multiplex Assay for the Detection of Allergenic Peanut Using Chloroplast DNA Markers. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2018; 66:8623-8629. [PMID: 30074393 DOI: 10.1021/acs.jafc.8b02053] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Peanut is one of the most commonly consumed allergy-causing foods in the United States. Prevention of accidental consumption by allergic individuals is assisted by methods that effectively identify the presence of peanut in food, even at trace levels. This study presents a multiplex real-time polymerase chain reaction (PCR) assay that uses chloroplast markers ( matK, rpl16, and trnH-psbA) to specifically detect peanut in three types of foods: baked goods, chocolate, and tomato sauces. Food matrices were spiked with raw peanut at concentrations ranging from 0.1 to 105 ppm. The assay was evaluated with respect to linear range and reaction efficiency. High reaction efficiencies were generally obtained across 6-7 orders of magnitude. Limits of detection were between 0.1 and 1 ppm, and reaction efficiencies were mostly within the preferred range of 100 ± 10%. Our results indicate that real-time PCR assays using chloroplast markers can be a valuable tool for peanut detection.
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Affiliation(s)
- Caroline Puente-Lelievre
- Center for Food Safety and Applied Nutrition, Office of Regulatory Science , U.S. Food and Drug Administration , 5001 Campus Drive , College Park , Maryland 20740 , United States
| | - Anne C Eischeid
- Center for Food Safety and Applied Nutrition, Office of Regulatory Science , U.S. Food and Drug Administration , 5001 Campus Drive , College Park , Maryland 20740 , United States
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11
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Carrera M, Cañas B, Gallardo JM. Advanced proteomics and systems biology applied to study food allergy. Curr Opin Food Sci 2018. [DOI: 10.1016/j.cofs.2017.12.001] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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12
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In house validation of a high resolution mass spectrometry Orbitrap-based method for multiple allergen detection in a processed model food. Anal Bioanal Chem 2018; 410:5653-5662. [PMID: 29435638 DOI: 10.1007/s00216-018-0927-8] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Revised: 01/24/2018] [Accepted: 01/29/2018] [Indexed: 10/18/2022]
Abstract
In recent years, mass spectrometry (MS) has been establishing its role in the development of analytical methods for multiple allergen detection, but most analyses are being carried out on low-resolution mass spectrometers such as triple quadrupole or ion traps. In this investigation, performance provided by a high resolution (HR) hybrid quadrupole-Orbitrap™ MS platform for the multiple allergens detection in processed food matrix is presented. In particular, three different acquisition modes were compared: full-MS, targeted-selected ion monitoring with data-dependent fragmentation (t-SIM/dd2), and parallel reaction monitoring. In order to challenge the HR-MS platform, the sample preparation was kept as simple as possible, limited to a 30-min ultrasound-aided protein extraction followed by clean-up with disposable size exclusion cartridges. Selected peptide markers tracing for five allergenic ingredients namely skim milk, whole egg, soy flour, ground hazelnut, and ground peanut were monitored in home-made cookies chosen as model processed matrix. Timed t-SIM/dd2 was found the best choice as a good compromise between sensitivity and accuracy, accomplishing the detection of 17 peptides originating from the five allergens in the same run. The optimized method was validated in-house through the evaluation of matrix and processing effects, recoveries, and precision. The selected quantitative markers for each allergenic ingredient provided quantification of 60-100 μgingred/g allergenic ingredient/matrix in incurred cookies.
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13
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14
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Sayers RL, Gethings LA, Lee V, Balasundaram A, Johnson PE, Marsh JA, Wallace A, Brown H, Rogers A, Langridge JI, Mills ENC. Microfluidic Separation Coupled to Mass Spectrometry for Quantification of Peanut Allergens in a Complex Food Matrix. J Proteome Res 2017; 17:647-655. [DOI: 10.1021/acs.jproteome.7b00714] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Rebekah L. Sayers
- School of Biological Sciences, Manchester Academic Health Science Centre, Manchester Institute of Biotechnology, University of Manchester, Manchester, U.K. M1 7DN
| | - Lee A. Gethings
- Waters Corporation, Stamford Avenue, Altrincham Road, Wilmslow, U.K. SK9 4AX
| | - Victoria Lee
- School of Biological Sciences, Manchester Academic Health Science Centre, Manchester Institute of Biotechnology, University of Manchester, Manchester, U.K. M1 7DN
| | - Anuradha Balasundaram
- School of Biological Sciences, Manchester Academic Health Science Centre, Manchester Institute of Biotechnology, University of Manchester, Manchester, U.K. M1 7DN
| | - Philip E. Johnson
- School of Biological Sciences, Manchester Academic Health Science Centre, Manchester Institute of Biotechnology, University of Manchester, Manchester, U.K. M1 7DN
| | - Justin A. Marsh
- School of Biological Sciences, Manchester Academic Health Science Centre, Manchester Institute of Biotechnology, University of Manchester, Manchester, U.K. M1 7DN
| | - Antonietta Wallace
- Waters Corporation, Stamford Avenue, Altrincham Road, Wilmslow, U.K. SK9 4AX
| | - Helen Brown
- Campden BRI (Chipping Campden) Ltd, Chipping Campden, U.K. GL55 6LD
| | - Adrian Rogers
- Romer Labs U.K., The Heath Business and Technical Park, Runcorn, Cheshire, U.K. WA7 4QX
| | - James I. Langridge
- Waters Corporation, Stamford Avenue, Altrincham Road, Wilmslow, U.K. SK9 4AX
| | - E. N. Clare Mills
- School of Biological Sciences, Manchester Academic Health Science Centre, Manchester Institute of Biotechnology, University of Manchester, Manchester, U.K. M1 7DN
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15
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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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16
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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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17
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MRM 3-based LC-MS multi-method for the detection and quantification of nut allergens. Anal Bioanal Chem 2016; 408:7845-7855. [PMID: 27590318 DOI: 10.1007/s00216-016-9888-y] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2016] [Revised: 08/04/2016] [Accepted: 08/16/2016] [Indexed: 10/21/2022]
Abstract
Food allergies have become a global challenge to food safety in industrialized countries in recent years. With governmental monitoring and legislation moving towards the establishment of threshold allergen doses, there is a need for sensitive and quantitative analytical methods for the determination of allergenic food contaminants. Targeted proteomics employing liquid chromatography-mass spectrometry (LC-MS) has emerged as a promising technique that offers increased specificity and reproducibility compared to antibody and DNA-based technologies. As the detection of trace levels of allergenic food contaminants also demands excellent sensitivity, we aimed to significantly increase the analytical performance of LC-MS by utilizing multiple reaction monitoring cubed (MRM3) technology. Following a bottom-up proteomics approach, including a straightforward sample preparation process, 38 MRM3 experiments specific to 18 proteotypic peptides were developed and optimized. This permitted the highly specific identification of peanut, almond, cashew, hazelnut, pistachio, and walnut. The analytical performance of the method was assessed for three relevant food matrices with different chemical compositions. Limits of detection were around 1 μg/g or below in fortified matrix samples, not accounting for the effects of food processing. Compared to an MRM-based approach, the MRM3-based method showed an increase in sensitivity of up to 30-fold. Regression analysis demonstrated high linearity of the MRM3 signal in spiked matrix samples together with robust intersample reproducibility, confirming that the method is highly applicable for quantitative purposes. To the best of our knowledge, we describe here the most sensitive LC-MS multi-method for food allergen detection thus far. In addition, this is the first study that systematically compares MRM3 with MRM for the analysis of complex foods. Graphical abstract Allergen detection by MRM3.
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18
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Korte R, Monneuse JM, Gemrot E, Metton I, Humpf HU, Brockmeyer J. New High-Performance Liquid Chromatography Coupled Mass Spectrometry Method for the Detection of Lobster and Shrimp Allergens in Food Samples via Multiple Reaction Monitoring and Multiple Reaction Monitoring Cubed. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2016; 64:6219-6227. [PMID: 27391354 DOI: 10.1021/acs.jafc.6b02620] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Crustacean shellfish allergy ranks among the most frequent and severe food allergies for adults, demanding rugged and sensitive analytical routine methods. The objective of this study was therefore to develop a mass spectrometric approach for the detection of contamination with shrimp and lobster, two economically important types of crustaceans, in complex food matrices. Following a biomarker approach, we identified proteotypic peptides and developed a multiple reaction monitoring (MRM) method allowing for the identification and differentiation of shrimp and lobster in the food matrix at concentrations down to 0.1%. To further enhance sensitivity, we employed the MRM-cubed (MRM(3)) mode, which allowed us to detect crustaceans down to concentrations of 25 μg/g (crustacean/food, 0.0025%). We hereby present the first mass spectrometric method for the detection of shrimp and lobster in food matrices.
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Affiliation(s)
- Robin Korte
- Institute of Food Chemistry, Westfälische Wilhelms-Universität Münster , Corrensstraße 45, 48149 Münster, Germany
| | | | | | | | - Hans-Ulrich Humpf
- Institute of Food Chemistry, Westfälische Wilhelms-Universität Münster , Corrensstraße 45, 48149 Münster, Germany
| | - Jens Brockmeyer
- Institute of Food Chemistry, Westfälische Wilhelms-Universität Münster , Corrensstraße 45, 48149 Münster, Germany
- Analytical Food Chemistry, University of Stuttgart , Allmandring 5b, 70563 Stuttgart, Germany
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19
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Weng X, Neethirajan S. A microfluidic biosensor using graphene oxide and aptamer-functionalized quantum dots for peanut allergen detection. Biosens Bioelectron 2016; 85:649-656. [PMID: 27240012 DOI: 10.1016/j.bios.2016.05.072] [Citation(s) in RCA: 100] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2016] [Revised: 05/20/2016] [Accepted: 05/22/2016] [Indexed: 11/25/2022]
Abstract
The increasing prevalence of food allergies and the intake of packing foods in the past two decades urge the need for more rapid, accurate, and sensitive assays to detect potential allergens in food in order to control the allergen content. Most of the commercial analytical tools for allergen detection rely on immunoassays such as ELISA. As far as disadvantages, ELISA can be time-consuming and expensive. Biosensors appear as a suitable alternative for the detection of allergens because they are rapid, highly sensitive, selective, less expensive, environmentally friendly, and easy to handle. In this study, we developed a microfluidic system integrated with a quantum dots (Qdots) aptamer functionalized graphene oxide (GO) nano-biosensor for simple, rapid, and sensitive food allergen detection. The biosensor utilized Qdots-aptamer-GO complexes as probes to undergo conformational change upon interaction with the food allergens, resulting in fluorescence changes due to the fluorescence quenching and recovering properties of GO by adsorption and desorption of aptamer-conjugated Qdots. This one-step 'turn on' homogenous assay in a ready-to-use microfluidic chip took ~10min to achieve a quantitative detection of Ara h 1, one of the major allergens appearing in peanuts. The results suggested this system had remarkable sensitivity and selectivity. The integration of a microfluidics platform in a homemade miniaturized optical analyzer provides a promising way for the rapid, cost-effective, and accurate on-site determination of food allergens. This biosensor can also be extended to the detection of other food allergens with a selection of corresponding aptamers.
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Affiliation(s)
- Xuan Weng
- BioNano Laboratory, School of Engineering, University of Guelph, Guelph, Canada N1G 2W1
| | - Suresh Neethirajan
- BioNano Laboratory, School of Engineering, University of Guelph, Guelph, Canada N1G 2W1.
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Ahsan N, Rao RSP, Gruppuso PA, Ramratnam B, Salomon AR. Targeted proteomics: Current status and future perspectives for quantification of food allergens. J Proteomics 2016; 143:15-23. [PMID: 27113134 DOI: 10.1016/j.jprot.2016.04.018] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2015] [Revised: 04/06/2016] [Accepted: 04/18/2016] [Indexed: 11/28/2022]
Abstract
UNLABELLED Allergen levels in fresh and processed foods can vary dynamically. As different sources of foods can cause different types of allergic reactions, the food industry and regulatory bodies urgently require reliable detection and absolute quantitation methods for allergen detection in complex food products to effectively safeguard the food-allergic population. Recent advances of targeted proteomic technologies namely multiple-reaction monitoring (MRM) mass spectrometry (MS) coupled with isotope-labeled internal standard, also known as AQUA peptides offers absolute quantitation of food allergens even at 10ppb level in a multiplex fashion. However, development of successful AQUA-MRM assay relies on a number of pre and post MS criteria. In this review, we briefly describe how allergen levels could potentially change in plant and animal based foods, necessitating the development of a high throughput multiplexed allergen quantification methodology for successful AQUA-MRM assay. We also propose some future strategies that could provide better management of food allergy. BIOLOGICAL SIGNIFICANCE Given the rapid increases of food allergenicity, it has become imperative to know absolute allergen levels in foods. This essential information could be the most effective means of protecting humans suffering from allergies. In this review, we emphasize the significance of the absolute quantitation of food allergens using AQUA-MRM approach and discuss the likely critical steps for successful assay development.
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Affiliation(s)
- Nagib Ahsan
- Division of Biology and Medicine, Alpert Medical School, Brown University, Providence, RI 02903, USA; Center for Cancer Research and Development, Proteomics Core Facility, Rhode Island Hospital, Providence, RI 02903, USA.
| | - R Shyama Prasad Rao
- Biostatistics and Bioinformatics Division, Yenepoya Research Center, Yenepoya University, Mangalore 575018, India
| | - Philip A Gruppuso
- Department of Pediatrics, Rhode Island Hospital, Brown University, Providence, RI 02903, USA; Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI 02903, USA
| | - Bharat Ramratnam
- Division of Biology and Medicine, Alpert Medical School, Brown University, Providence, RI 02903, USA; Center for Cancer Research and Development, Proteomics Core Facility, Rhode Island Hospital, Providence, RI 02903, USA
| | - Arthur R Salomon
- Center for Cancer Research and Development, Proteomics Core Facility, Rhode Island Hospital, Providence, RI 02903, USA; Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI 02903, USA
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Korte R, Lepski S, Brockmeyer J. Comprehensive peptide marker identification for the detection of multiple nut allergens using a non-targeted LC-HRMS multi-method. Anal Bioanal Chem 2016; 408:3059-69. [PMID: 26894760 DOI: 10.1007/s00216-016-9384-4] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Revised: 01/28/2016] [Accepted: 02/01/2016] [Indexed: 10/22/2022]
Abstract
Food allergies have emerged as a global problem over the last few decades; therefore, reliable and sensitive analytical methods to ensure food safety for allergic consumers are required. The application of mass spectrometry is of growing interest in this field and several procedures based on low resolution tandem mass spectrometry using single tryptic peptides as analytical targets have recently been described. However, a comprehensive survey of marker peptides for the development of multi-methods is still missing, as is a consensus guide to marker identification. In this study, we therefore report a consistent approach to the development of liquid chromatography-mass spectrometry (LC-MS) multi-screening methods for the detection of allergens in food matrices. Proteotypic peptides were identified by a shotgun proteomics approach and verified through a thorough investigation of specificity and sensitivity. On the basis of this procedure, we identified 44 suitable tryptic marker peptides from six allergenic nut species and developed the first analytical LC-MS method for the detection of trace nut contaminations in processed foods using high resolution mass spectrometry (HRMS). The analysis of spiked matrix samples gave limits of detection (LODs) below 10 μg/g for several nuts; these LODs are comparable with routinely used methods such as ELISA and PCR. Notably, the HRMS approach can be used in an untargeted fashion to identify multiple allergens also retrospectively. In conclusion, we present here the so far largest consensus set of analytical markers from nut allergens and to the best of our knowledge the first multi-allergen method based on LC-HRMS.
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Affiliation(s)
- Robin Korte
- Department of Chemistry, Institute of Food Chemistry, Westfälische Wilhelms-Universität Münster, Corrensstr. 45, 48149, Münster, Germany
| | - Silke Lepski
- Department of Chemistry, Institute of Food Chemistry, Westfälische Wilhelms-Universität Münster, Corrensstr. 45, 48149, Münster, Germany
| | - Jens Brockmeyer
- Department of Chemistry, Institute of Food Chemistry, Westfälische Wilhelms-Universität Münster, Corrensstr. 45, 48149, Münster, Germany.
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