Abstract
Food allergy represents an important issue in the field of food safety in industrialized countries because of the severity of allergenic reactions for affected persons even with small amounts of food. Recently, the food industries and legislative and regulatory agencies in different countries have formulated new regulations about displaying food allergen on food labels. Therefore, consumer protection and food labeling require reliable detection and quantification methods of allergens in food products. Several analytical approaches, with the ability of quantifying and detecting traces of allergenic ingredients, which target either the allergenic proteins or allergen markers (peptide fragment or gene segment) have been developed. The most popular methods for allergen detection can be mainly divided into two large groups: the protein-based approaches and the DNA-based approaches. Protein-based methods include enzyme-linked immunosorbent assays (ELISA), MS methods, and biosensors. On the basis of the amplification of specific DNA fragments, DNA-based methods can trace the potential presence of culprit allergen, which include polymerase chain reaction (PCR) and real-time PCR. In this chapter, we present the advances about specific and highly sensitive analytical methods in the field of food allergens detection, which can avoid the influence by the presence of matrix components.
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References
Alves RC, Pimentel FB, Nouws HP, Correr W, González-García MB, Oliveira MB, Delerue-Matos C (2015) Detection of the peanut allergen Ara h 6 in foodstuffs using a voltammetric biosensing approach. Anal Bioanal Chem 407:7157–7163. https://doi.org/10.1007/s00216-015-8879-8
Ashley J et al (2018) Synthesis of MIP nanoparticles for α-casein detection using SPR as a milk allergen sensor. Acs Sensors 72:168–177. https://doi.org/10.1021/acssensors
Azarnia S, Boye JI, Mongeon V, Sabik H (2013) Detection of ovalbumin in egg white, whole egg and incurred pasta using LC-ESI-MS/MS and ELISA. Food Res Int 52:526–534. https://doi.org/10.1016/j.foodres.2013.02.039
Bereszczak JZ, Brancia FL (2009) Offline and online liquid chromatography mass spectrometry in quantitative proteomics. Comb Chem High Throughput Screen 12:185–193. https://doi.org/10.2174/138620709787315418
Berin MC, Sicherer S (2011) Food allergy: mechanisms and therapeutics. Curr Opin Immunol 23:794–800. https://doi.org/10.1016/j.coi.2011.08.010
Bindslev-Jensen C, Briggs D, Osterballe M (2002) Can we determine a threshold level for allergenic foods by statistical analysis of published data in the literature? Allergy 57:741–746. https://doi.org/10.1034/j.1398-9995.2002.23797.x
Boyce JA et al (2011) Guidelines for the diagnosis and management of food allergy in the United States: summary of the NIAID-sponsored expert panel report. J Allergy Clin Immunol 126:1105–1118. https://doi.org/10.1016/j.jaci.2010.10.008
Cai QF, Wang XC, Liu GM, Zhang L, Ruan MM, Liu Y, Cao MJ (2013) Development of a monoclonal antibody-based competitive enzyme linked-immunosorbent assay (c-ELISA) for quantification of silver carp parvalbumin. Food Control 29:241–247. https://doi.org/10.1016/j.foodcont.2012.06.016
Cao Q et al (2011) Electrochemical immunosensor for casein based on gold nanoparticles and poly(L-Arginine)/multi-walled carbon nanotubes composite film functionalized interface. Biosens Bioelectron 26:3469–3474. https://doi.org/10.1016/j.bios.2011.01.027
Chafen JJS et al (2010) Diagnosing and managing common food allergies: a systematic review. JAMA 303:1848–1856. https://doi.org/10.1001/jama.2010.582
Cochrane SA et al (2015) Development of a standardized low-dose double-blind placebo-controlled challenge vehicle for the EuroPrevall project. Allergy 67:107–113. https://doi.org/10.1111/j.1398-9995.2011.02715.x
Costa J, Ansari P, Mafra I, Oliveira MB, Baumgartner S (2014) Assessing hazelnut allergens by protein- and DNA-based approaches: LC-MS/MS, ELISA and real-time PCR. Anal Bioanal Chem 406:2581–2590. https://doi.org/10.1007/s00216-014-7679-x
Craig R, Beavis RC (2004) TANDEM: matching proteins with tandem mass spectra. Bioinformatics 20:1466–1467. https://doi.org/10.1093/bioinformatics/bth092
Cucu T, Jacxsens L, De MB (2013) Analysis to support allergen risk management: which way to go? J Agric Food Chem 61:5624–5633. https://doi.org/10.1021/jf303337z
Eischeid AC (2016) Development and evaluation of a real-time PCR assay for detection of lobster, a crustacean shellfish allergen. Food Control 59:393–399. https://doi.org/10.1016/j.foodcont.2015.06.013
Eischeid AC, Kim B, Kasko SM (2013) Two quantitative real-time PCR assays for the detection of penaeid shrimp and blue crab, crustacean shellfish allergens. J Agric Food Chem 61:5669–5674. https://doi.org/10.1021/jf3031524
Eissa S, Zourob M (2017) In vitro selection of DNA aptamers targeting β-lactoglobulin and their integration in graphene-based biosensor for the detection of milk allergen. Biosens Bioelectron 91:169–174. https://doi.org/10.1016/j.bios.2016.12.020
Eng JK, Mccormack AL, Yates JR (1994) An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database. J Am Soc Mass Spectrom 5:976–989. https://doi.org/10.1016/1044-0305(94)80016-2
Fæste CK, Plassen C (2008) Quantitative sandwich ELISA for the determination of fish in foods. J Immunol Methods 329:45–55. https://doi.org/10.1016/j.jim.2007.09.007
Gezer PG, Liu GL, Kokini JL (2016) Development of a biodegradable sensor platform from gold coated zein nanophotonic films to detect peanut allergen, Ara h1, using surface enhanced raman spectroscopy. Talanta 150:224–232. https://doi.org/10.1016/j.talanta.2015
Gomaa A, Boye JI (2013) Impact of thermal processing time and cookie size on the detection of casein, egg, gluten and soy allergens in food. Food Res Int 52:483–489. https://doi.org/10.1016/j.foodres.2013.01.019
Hei W, Li Z, Ma X, He P (2012) Determination of beta-conglycinin in soybean and soybean products using a sandwich enzyme-linked immunosorbent assay. Anal Chim Acta 734:62–68. https://doi.org/10.1016/j.aca.2012.05.009
Holzhauser T, Stephan O, Vieths S (2002) Detection of potentially allergenic hazelnut (Corylus avellana) residues in food: a comparative study with DNA PCR-ELISA and protein sandwich-ELISA. J Agric Food Chem 50:5808–5815. https://doi.org/10.1021/jf025600r
Jiang D, Ji J, An L, Sun X, Zhang Y, Zhang G, Tang L (2013) Mast cell-based electrochemical biosensor for quantification of the major shrimp allergen Pen a 1 (tropomyosin). Biosens Bioelectron 50:150–156. https://doi.org/10.1016/j.bios
Jiang D, Zhu P, Jiang H, Ji J, Sun X, Gu W, Zhang G (2015) Fluorescent magnetic bead-based mast cell biosensor for electrochemical detection of allergens in foodstuffs. Biosens Bioelectron 70:482–490. https://doi.org/10.1016/j.bios
Johnson PE et al (2014) A multi-laboratory evaluation of a clinically-validated incurred quality control material for analysis of allergens in food. Food Chem 148:30–36. https://doi.org/10.1016/j.foodchem
Kamath SD, Thomassen MR, Saptarshi SR, Nguyen HM, Aasmoe L, Bang BE, Lopata AL (2014) Molecular and immunological approaches in quantifying the air-borne food allergen tropomyosin in crab processing facilities. Int J Hyg Environ Health 217:740–750. https://doi.org/10.1016/j.ijheh
Korte R, Monneuse JM, Gemrot E, Metton I, Humpf HU, Brockmeyer J (2016) A new HPLC-MS method for the detection of lobster and shrimp allergens in food samples via MRM and MRM3. J Agric Food Chem 64:6219–6227. https://doi.org/10.1021/acs.jafc
Kuppannan K, Julka S, Karnoup A, Dielman D, Schafer B (2014) 2DLC-UV/MS assay for the simultaneous quantification of intact soybean allergens Gly m 4 and hydrophobic protein from soybean (HPS). J Agric Food Chem 62:4884–4892. https://doi.org/10.1021/jf500087s
Li Z, Zhang Y, Lin H, Haider S, Jiang J (2010) Quantitative analysis of shrimp allergen in food matrices using a protein chip based on sandwich immunoassay. Eur Food Res Technol 231:47–54. https://doi.org/10.1007/s00217-010-1252-4
Lin H, Wang G, Pawar R, Zhang Y, Li Z (2011) Development of an optimized protein chip for the detection of fish parvalbumin allergen. Curr Anal Chem 7:1–8. https://doi.org/10.2174/157341111797183100
Liu H, Malhotra R, Peczuh MW, Rusling JF (2010) Electrochemical immunosensors for antibodies to peanut allergen Ara h2 using gold nanoparticle-peptide films. Anal Chem 82:5865–5871. https://doi.org/10.1021/ac101110q
Liu G, Zhang Y, Guo W (2014) Covalent functionalization of gold nanoparticles as electronic bridges and signal amplifiers towards an electrochemical immunosensor for botulinum neurotoxin type A. Biosens Bioelectron 61:547–553. https://doi.org/10.1016/j.bios
Lu Y, Ohshima T, Ushio H (2015) Rapid detection of fish major allergen parvalbumin by surface plasmon resonance biosensor. J Food Sci 69:C652–C658. https://doi.org/10.1111/j.1750-3841.2004.tb18013.x
Ma X, Sun P, He P, Han P, Wang J, Qiao S, Li D (2010) Development of monoclonal antibodies and a competitive ELISA detection method for glycinin, an allergen in soybean. Food Chem 121:546–551. https://doi.org/10.1016/j.foodchem
Mallick P et al (2007) Computational prediction of proteotypic peptides for quantitative proteomics. Nat Biotechnol 25:125–131. https://doi.org/10.1038/nbt1275
Masiri J, Benoit L, Meshgi M, Day J, Nadala C, Samadpour M (2016) A novel immunoassay test system for detection of modified allergen residues present in almond-, cashew-, coconut-, hazelnut-, and soy-based nondairy beverages. J Food Prot 79:1572–1582. https://doi.org/10.4315/0362-028X
Montiel VR, Campuzano S, Pellicanò A, Torrente-Rodríguez RM, Reviejo AJ, Cosio MS, Pingarrón JM (2015) Sensitive and selective magnetoimmunosensing platform for determination of the food allergen Ara h 1. Anal Chim Acta 880:52–59. https://doi.org/10.1016/j.aca
Montiel RV, Pellicanò A, Campuzano S, Reviejo ÁJ, Cosio MS, Pingarrón JM (2016) Electrochemical detection of peanuts at trace levels in foods using a magnetoimmunosensor for the allergenic protein Ara h 2. Sensors Actuators B Chem 236:825–833. https://doi.org/10.1016/j.snb.2016.01.123
Morishita N et al (2008) Reliable enzyme-linked immunosorbent assay for the determination of soybean proteins in processed foods. J Agric Food Chem 56:6818–6824. https://doi.org/10.1021/jf8007629
New LS, Schreiber A, Stahl-Zeng J, Liu HF (2017) Simultaneous analysis of multiple allergens in food products by LC-MS/MS. J AOAC Int 101:132–145. https://doi.org/10.5740/jaoacint
Newsome GA, Scholl PF (2013) Quantification of allergenic bovine milk αS1-casein in baked goods using an intact 15N-labeled protein internal standard. J Agric Food Chem 61:5659–5668. https://doi.org/10.1021/jf3015238
Parker CH et al (2015) Multi-allergen quantification and the impact of thermal treatment in industry-processed baked goods by ELISA and liquid chromatography-tandem mass spectrometry. J Agric Food Chem 63:10669–10680. https://doi.org/10.1021/acs.jafc
Peeters M et al (2014) Real-time monitoring of aptamer functionalization and detection of AraH1 by electrochemical impedance spectroscopy and dissipation-mode quartz crystal microbalance. Biosens Bioelectron 5:155–162. https://doi.org/10.4172/2155-6210.1000155
Peng J, Song S, Xu L, Ma W, Liu L, Kuang H, Xu C (2013) Development of a monoclonal antibody-based sandwich ELISA for peanut allergen Ara h 1 in food. Int J Environ Res Public Health 10:2897–2905. https://doi.org/10.3390/ijerph10072897
Picotti P et al (2010) High-throughput generation of selected reaction-monitoring assays for proteins and proteomes. Nat Methods 7:43–46. https://doi.org/10.1038/nmeth
Pilolli R, De AE, Monaci L (2017) Streamlining the analytical workflow for multiplex MS/MS allergen detection in processed foods. Food Chem 221:1747–1753. https://doi.org/10.1016/j.foodchem
Prandi B, Faccini A, Tedeschi T, Galaverna G, Sforza S (2013) LC/MS analysis of proteolytic peptides in wheat extracts for determining the content of the allergen amylase/trypsin inhibitor CM3: influence of growing area and variety. Food Chem 140:141–146. https://doi.org/10.1016/j.foodchem
Sakai S, Adachi R, Akiyama H, Teshima R (2013) Validation of quantitative and qualitative methods for detecting allergenic ingredients in processed foods in Japan. J Agric Food Chem 61:5675–5680. https://doi.org/10.1021/jf3033396
Sealey-Voyksner J, Zweigenbaum J, Voyksner R (2016) Discovery of highly conserved unique peanut and tree nut peptides by LC-MS/MS for multi-allergen detection. Food Chem 194:201–211. https://doi.org/10.1016/j.foodchem
Sun X, Zhang Y, Shao J, Shen L, Qian H, Zhu W (2010) A quartz crystal microbalance-based immunosensor for shrimp allergen determination in food. Eur Food Res Technol 231:563–570. https://doi.org/10.1007/s00217-010-1305-8
Sun X, Guan L, Shan X, Zhang Y, Li Z (2012) Electrochemical detection of peanut allergen Ara h 1 using a sensitive DNA biosensor based on stem-loop probe. J Agric Food Chem 60:10979–10984. https://doi.org/10.1021/jf3027233
Taguchi H, Watanabe S, Temmei Y (2011) Differential detection of shrimp and crab for food labeling using polymerase chain reaction. J Agric Food Chem 59:3510–3519. https://doi.org/10.1021/jf103878h
Tao G, Kang L, Frazier R, Shi L, Bell E, Glenn K, Ward JM (2015) Development of a sandwich ELISA for quantification of Gly m 4, a soybean allergen. J Agric Food Chem 63:4947–4953. https://doi.org/10.1021/acs.jafc
Taylor SL, Baumert JL (2015) Worldwide food allergy labeling and detection of allergens in processed foods. Chem Immunol Allergy 101:227–234. https://doi.org/10.1159/000373910
Tetzlaff C, Mäde D (2017) Development of a real-time PCR system for the detection of the potential allergen fish in food. Eur Food Res Technol 243:849–857. https://doi.org/10.1007/s00217-016-2799-5
Tolin S, Pasini G, Simonato B, Mainente F, Arrigoni G (2012) Analysis of commercial wines by LC-MS/MS reveals the presence of residual milk and egg white allergens. Food Control 28:321–326. https://doi.org/10.1016/j.foodcont.2012.05.015
Tran DT, Knez K, Janssen KP, Pollet J, Spasic D, Lammertyn J (2013) Selection of aptamers against Ara h 1 protein for FO-SPR biosensing of peanut allergens in food matrices. Biosens Bioelectron 43:245–251. https://doi.org/10.1016/j.bios
Wang H, Li G, Wu Y, Yuan F, Chen Y (2014) Development of an indirect competitive immunoassay for walnut protein component in food. Food Chem 147:106–110. https://doi.org/10.1016/j.foodchem
Wang Y et al (2015) Rapid and sensitive detection of the food allergen glycinin in powdered milk using a lateral flow colloidal gold immunoassay strip test. J Agric Food Chem 63:2172–2178. https://doi.org/10.1021/jf5052128
Wang Y et al (2017) Establishment of a lateral flow colloidal gold immunoassay strip for the rapid detection of soybean allergen β-conglycinin. Food Anal Methods 10:2429–2435. https://doi.org/10.1007/s12161-017-0800-y
Warriner K, Reddy SM, Namvar A, Neethirajan S (2014) Developments in nanoparticles for use in biosensors to assess food safety and quality. Trends Food Sci Technol 40:183–199. https://doi.org/10.1016/j.tifs.2014.07.008
Zhang H, Lu Y, Ushio H, Shiomi K (2014) Development of sandwich ELISA for detection and quantification of invertebrate major allergen tropomyosin by a monoclonal antibody. Food Chem 150:151–157. https://doi.org/10.1016/j.foodchem
Zhang WJ, Cai Q, Guan X, Chen Q (2015) Detection of peanut (Arachis hypogaea) allergen by Real-time PCR method with internal amplification control. Food Chem 174:547–552. https://doi.org/10.1016/j.foodchem
Zheng J, He L (2014) Surface-enhanced Raman spectroscopy for the chemical analysis of food. Compr Rev Food Sci F 13:317–328. https://doi.org/10.1111/1541-4337.12062
Zheng C, Wang X, Lu Y, Liu Y (2012) Rapid detection of fish major allergen parvalbumin using superparamagnetic nanoparticle-based lateral flow immunoassay. Food Control 26:446–452. https://doi.org/10.1016/j.foodcont.2012.01.040
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Fu, L., Cherayil, B.J., Shi, H., Wang, Y., Zhu, Y. (2019). Detection and Quantification Methods for Food Allergens. In: Food Allergy. Springer, Singapore. https://doi.org/10.1007/978-981-13-6928-5_4
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