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Tramuta C, Decastelli L, Ingravalle F, Barcucci E, Fragassi S, Bianchi DM. Performance Evaluation of a Commercial Real-Time PCR Method for the Detection of Lupin Traces in Food. Foods 2024; 13:609. [PMID: 38397586 PMCID: PMC10888417 DOI: 10.3390/foods13040609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/16/2024] [Accepted: 02/16/2024] [Indexed: 02/25/2024] Open
Abstract
In accordance with U.S. FDA Foods Program Regulatory Science Steering Committee guidelines, with this study, we optimized and validated a commercial real-time PCR method for the detection of low amounts of lupin in four classes of food matrices: chocolate cookies, ragù, Olivier salad, and barley and rice flour. DNA extracted from blank (true negative) samples artificially contaminated with lupin (Lupinus albus) flour at 1000 ppm underwent dilutions with the DNA extracted from the true negative samples up to 0.5 ppm. The limit of detection for real-time PCR was 0.5 ppm in the complex matrices (range, Ct 26-34), making this a specific, robust, and rapid method for lupin allergen detection and labeling. Our validation data support the suitability of this commercially available real-time PCR method for this purpose.
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Affiliation(s)
- Clara Tramuta
- Experimental Zooprophylactic Institute of Piedmont, Liguria and Valle d’Aosta, Italian National Reference Center for the Detection of Food Allergens and Substances Causing Food Intolerance (CReNaRiA), 10154 Turin, Italy; (L.D.); (E.B.); (S.F.); (D.M.B.)
| | - Lucia Decastelli
- Experimental Zooprophylactic Institute of Piedmont, Liguria and Valle d’Aosta, Italian National Reference Center for the Detection of Food Allergens and Substances Causing Food Intolerance (CReNaRiA), 10154 Turin, Italy; (L.D.); (E.B.); (S.F.); (D.M.B.)
| | - Francesco Ingravalle
- Experimental Zooprophylactic Institute of Piedmont, Liguria and Valle d’Aosta, Department Biostatistics, Epidemiology and Risk Analysis (BEAR), 10154 Turin, Italy;
| | - Elisa Barcucci
- Experimental Zooprophylactic Institute of Piedmont, Liguria and Valle d’Aosta, Italian National Reference Center for the Detection of Food Allergens and Substances Causing Food Intolerance (CReNaRiA), 10154 Turin, Italy; (L.D.); (E.B.); (S.F.); (D.M.B.)
| | - Sandra Fragassi
- Experimental Zooprophylactic Institute of Piedmont, Liguria and Valle d’Aosta, Italian National Reference Center for the Detection of Food Allergens and Substances Causing Food Intolerance (CReNaRiA), 10154 Turin, Italy; (L.D.); (E.B.); (S.F.); (D.M.B.)
| | - Daniela Manila Bianchi
- Experimental Zooprophylactic Institute of Piedmont, Liguria and Valle d’Aosta, Italian National Reference Center for the Detection of Food Allergens and Substances Causing Food Intolerance (CReNaRiA), 10154 Turin, Italy; (L.D.); (E.B.); (S.F.); (D.M.B.)
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Kim K, Kim Y, Lee H, Lee C, Kim S, Oh S, Park ZY. Discovery, verification, and validation of walnut protein marker peptides using LC-MS approaches. Food Chem 2023; 429:136889. [PMID: 37467671 DOI: 10.1016/j.foodchem.2023.136889] [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: 12/20/2022] [Revised: 06/17/2023] [Accepted: 07/12/2023] [Indexed: 07/21/2023]
Abstract
A key requirement of liquid chromatography-mass spectrometry (LC-MS)-based allergenic food protein analysis methods is to use protein marker peptides with good analytical performances in LC-MS analysis of commercial processed foods. In this study, we developed a multi-stage walnut protein marker peptide selection strategy involving marker peptide discovery and verification and LC-MS validation of chemically equivalent stable isotope-labeled peptides. This strategy proposed three walnut protein marker peptides, including two new marker peptides. Our LC-MS-based walnut protein analysis method using the three stable isotope-labeled peptides showed acceptable linearity (R2 >0.99), matrix effects (coefficient of variation <±15%), sensitivity (limit of detection >0.3 pg/μL, limit of quantification >0.8 pg/μL), recovery (85.1-103.4%), accuracy, and precision (coefficient of variation <10%). In conclusion, our multi-stage marker peptide selection strategy effectively selects specific protein marker peptides for sensitive detection and absolute quantification of walnut proteins in LC-MS analysis of commercial processed foods.
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Affiliation(s)
- Kyungdo Kim
- School of Life Sciences, Gwangju Institute of Science and Technology, Cheomdangwagiro123, Buk-gu, Gwangju 61005, Republic of Korea.
| | - Yourim Kim
- School of Life Sciences, Gwangju Institute of Science and Technology, Cheomdangwagiro123, Buk-gu, Gwangju 61005, Republic of Korea.
| | - Hana Lee
- School of Life Sciences, Gwangju Institute of Science and Technology, Cheomdangwagiro123, Buk-gu, Gwangju 61005, Republic of Korea.
| | - Chaeyoon Lee
- Department of Food Science and Engineering, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul, Republic of Korea.
| | - Sooyeon Kim
- Department of Food Science and Engineering, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul, Republic of Korea.
| | - Sangsuk Oh
- Department of Food Science and Engineering, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul, Republic of Korea
| | - Zee-Yong Park
- School of Life Sciences, Gwangju Institute of Science and Technology, Cheomdangwagiro123, Buk-gu, Gwangju 61005, Republic of Korea.
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A sensitive sandwich enzyme-linked immunosorbent assay (sELISA) for the detection of walnut residues in processed food. J Food Compost Anal 2023. [DOI: 10.1016/j.jfca.2023.105221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
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Tuppo L, Giangrieco I, Tamburrini M, Alessandri C, Mari A, Ciardiello MA. Detection of Allergenic Proteins in Foodstuffs: Advantages of the Innovative Multiplex Allergen Microarray-Based Immunoassay Compared to Conventional Methods. Foods 2022; 11:foods11060878. [PMID: 35327300 PMCID: PMC8949930 DOI: 10.3390/foods11060878] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 03/12/2022] [Accepted: 03/17/2022] [Indexed: 02/04/2023] Open
Abstract
Several factors can affect the allergen content and profile of a specific food, including processing procedures often leading to a decrease in allergenicity, although no change, or even an increase, have also been reported. Evaluation of the effectiveness of a processing procedure requires the availability of reliable methodologies to assess the variation in molecules able to induce allergic reactions in the analyzed food. Conventional and innovative strategies and methodologies can be exploited to identify allergenic proteins in foodstuffs. However, depending on the specific purposes, different methods can be used. In this review, we have critically reviewed the advantages of an innovative method, the multiplex allergen microarray-based immunoassay, in the detection of allergens in foodstuffs. In particular, we have analyzed some studies reporting the exploitation of an IgE-binding inhibition assay on multiplex allergen biochips, which has not yet been reviewed in the available literature. Unlike the others, this methodology enables the identification of many allergenic proteins, some of which are still unknown, which are recognized by IgE from allergic patients, with a single test. The examined literature suggests that the inhibition test associated with the multiplex allergen immunoassay is a promising methodology exploitable for the detection of IgE-binding proteins in food samples.
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Affiliation(s)
- Lisa Tuppo
- Institute of Biosciences and BioResources (IBBR), CNR, 80131 Naples, Italy; (L.T.); (I.G.); (M.T.)
| | - Ivana Giangrieco
- Institute of Biosciences and BioResources (IBBR), CNR, 80131 Naples, Italy; (L.T.); (I.G.); (M.T.)
| | - Maurizio Tamburrini
- Institute of Biosciences and BioResources (IBBR), CNR, 80131 Naples, Italy; (L.T.); (I.G.); (M.T.)
| | - Claudia Alessandri
- Associated Centers for Molecular Allergology (CAAM), 00100 Rome, Italy; (C.A.); (A.M.)
- Allergy Data Laboratories (ADL), 04100 Latina, Italy
| | - Adriano Mari
- Associated Centers for Molecular Allergology (CAAM), 00100 Rome, Italy; (C.A.); (A.M.)
- Allergy Data Laboratories (ADL), 04100 Latina, Italy
| | - Maria Antonietta Ciardiello
- Institute of Biosciences and BioResources (IBBR), CNR, 80131 Naples, Italy; (L.T.); (I.G.); (M.T.)
- Correspondence:
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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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Detection of Peanut Traces in Food by an Official Food Safety Laboratory. Foods 2022; 11:foods11050643. [PMID: 35267276 PMCID: PMC8909111 DOI: 10.3390/foods11050643] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 02/16/2022] [Accepted: 02/19/2022] [Indexed: 02/04/2023] Open
Abstract
Food safety laboratories rely on validated methods that detect hidden allergens in food to ensure the safety and health of allergic consumers. Here we present test results for the validation and accreditation of a real-time PCR assay for the detection of peanut traces in food products. The method was tested on five classes of food matrices: bakery and pastry products, meats, ready-to-eat and dairy products, and grains and milling products. Blank samples were spiked starting with the peanut samples (Arachis hypogaea) at a concentration of 1000 ppm. Serial dilutions were then prepared with the DNA extracted from the blank samples to a final concentration of 0.5 ppm. The limit of detection in grains and milling products, ready-to-eat, meats, bakery and pastry products was 0.5 ppm (range, Ct 27–34) and 2.5 ppm in dairy products (range, Ct 25–34). In order to determine the exclusivity parameter of the method, the ragù matrix was contaminated with Prunus dulcis (almonds), Glycine max (soy), Sinapis alba (mustard), Apium graveolens (celery), Allium cepa (onion), Pisum sativum (peas), Daucus carota (carrots), and Theobroma cacao (cocoa); no cross-reactions were observed. The method was rated satisfactory for sensitivity (98%), specificity (100%), robustness, and repeatability and it was fully validated and accredited.
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Bu Y, Qiao W, Zhai Z, Liu T, Gong P, Zhang L, Hao Y, Yi H. Establishment and Evaluation of a Loop-Mediated Isothermal Amplification Assay for Rapid Detection of Pseudomonas fluorescens in Raw Milk. Front Microbiol 2022; 12:810511. [PMID: 35069513 PMCID: PMC8770903 DOI: 10.3389/fmicb.2021.810511] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Accepted: 11/22/2021] [Indexed: 01/22/2023] Open
Abstract
Raw milk is susceptible to microbial contamination during transportation and storage. Pseudomonas fluorescens producing heat-resistant enzymes have become the most common and harmful psychrophilic microorganisms in the cold chain logistics of raw milk. To rapidly detect P. fluorescens in raw milk, the protease gene aprX was selected as a detection target to construct a set of primers with strong specificity, and a loop-mediated isothermal amplification (LAMP) assay was established. The detection thresholds of the LAMP assay for pure cultured P. fluorescens and pasteurized milk were 2.57 × 102 and 3 × 102 CFU/mL, respectively. It had the advantages over conventional method of low detection threshold, strong specificity, rapid detection, and simple operation. This LAMP assay can be used for online monitoring and on-site detection of P. fluorescens in raw milk to guarantee the quality and safety of dairy products.
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Affiliation(s)
- Yushan Bu
- College of Food Science and Engineering, Ocean University of China, Qingdao, China
| | - Wenjun Qiao
- College of Food Science and Engineering, Ocean University of China, Qingdao, China
| | - Zhengyuan Zhai
- Key Laboratory of Functional Dairy, Co-constructed by Ministry of Education and Beijing Municipality, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Tongjie Liu
- College of Food Science and Engineering, Ocean University of China, Qingdao, China
| | - Pimin Gong
- College of Food Science and Engineering, Ocean University of China, Qingdao, China
| | - Lanwei Zhang
- College of Food Science and Engineering, Ocean University of China, Qingdao, China
| | - Yanling Hao
- Key Laboratory of Functional Dairy, Co-constructed by Ministry of Education and Beijing Municipality, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China.,College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, China
| | - Huaxi Yi
- College of Food Science and Engineering, Ocean University of China, Qingdao, China
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