Skip to main content
Log in

Identification of the factors affecting the analytical results of food allergen ELISA methods

  • Original Paper
  • Published:
European Food Research and Technology Aims and scope Submit manuscript

Abstract

In order to support patients’ safety, the analytical methods should be able to quantify the allergenic proteins in food products. Analytical performance of the currently used ELISA methods is not always appropriate, particularly in case of processed foods. A possible way to investigate the sources of analytical errors is the utilisation of model food matrices that mimic the technology and behaviour of real food products. Consequently, factors affecting the analytical results were identified, their contribution to the whole analytical error was determined, and the underlying phenomena were interpreted in this study. Heat-treated model matrices incurred with gliadin, milk, egg, or soy proteins were produced and analysed with commercially available ELISA test kits. The data were evaluated with statistical tools. Results clearly show that the type of the food matrix, the level of processing, and the analytical methods (i.e. the type of the ELISA kit) are the three main factors that play a significant role in the uncertainty. The developed laboratory methodology seems to be suitable for generalising the investigation of other allergens, methods, matrices, and the scientific background of the phenomena.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Taylor SL, Hefle SL (2001) Food allergies and other food sensitivities. Food Tech 55(9):68–83

    Google Scholar 

  2. Kerbach S, Alldrick AJ, Crevel RWR, Dömötör L, DunnGalvin A, Mills ENC, Pfaff S, Poms RE, Popping B, Tömösközi S (2009) Managing food allergens in the food supply chain—viewed from different stakeholder perspectives. Qual Assur Saf Crop 1:50–60

    Article  Google Scholar 

  3. Sicherer SH, Sampson H (2010) Food allergy. J Allergy Clin Immun 125(2):116–125

    Article  Google Scholar 

  4. Breitender H (2008) Can any protein become an allergen? Rev Fr Allergol 48:135–138

    Google Scholar 

  5. Besler M, Steinhart H, Paschke A (2001) Stability of food allergens and allergenicity of processed foods. J Chromatogr B 756:207–228

    Article  CAS  Google Scholar 

  6. Gerrard JA (2002) Protein–protein crosslinking in food: methods, consequences, applications. Trends Food Sci Tech 13:391–399

    Article  CAS  Google Scholar 

  7. Sathe SK, Teuber SS, Roux KH (2005) Effects of food processing on the stability of food allergens. Biotechnol Adv 23:423–429

    Article  CAS  Google Scholar 

  8. Thomas K, Herouet-Guicheney C, Ladics G, Bannon G, Cockburn A, Crevel R, Fitzpatrick J, Mills C, Privalle L, Vieths S (2007) Evaluating the effect of food processing on the potential human allergenicity of novel proteins: international workshop report. Food Chem Toxicol 45:1116–1122

    Article  CAS  Google Scholar 

  9. Gendel SM (2012) Comparison of international food allergen labeling regulations. Regul Toxicol Pharm 63(2):279–285

    Article  Google Scholar 

  10. EU Regulation No 1169/2011 of the European Parliament and of the Council. Off J EU 304:18-63

  11. Taylor SL, Baumert JL, Kruizinga AG, Remington BC, Crevel RWR, Brooke-Taylor S, Allen KJ, Houben G (2014) Establishment of reference doses for residues of allergenic foods: report of the VITAL expert panel. Food Chem Toxicol 63:9–17

    Article  CAS  Google Scholar 

  12. Mattarozzi M, Milioli M, Bignardi C, Elviri L, Corradini C, Careri M (2014) Investigation of different sample pre-treatment routes for liquid chromatography tandem mass spectrometry detection of caseins and ovalbumin in fortified red wine. Food Control 38:82–87

    Article  CAS  Google Scholar 

  13. Azarnia S, Boye JI, Mongeon V, Sabik H (2013) Detection of ovalbumin in eggwhite, whole egg and incurred pasta using LC–ESI-MS/MS and ELISA. Food Res Int 52:526–534

    Article  CAS  Google Scholar 

  14. Heick J, Fischer M, Popping B (2011) First screening method for the simultaneous detection of seven allergens by liquid chromatography mass spectrometry. J Chromatogr A 1218(7):938–943

    Article  CAS  Google Scholar 

  15. Köppel R, van Velsen-Zimmerli F, Bucher T (2012) Two quantitative hexaplex real-time PCR systems for the detection and quantification of DNA from twelve allergens in food. Eur Food Res Technol 235(5):843–852

    Article  Google Scholar 

  16. Koeberl M, Clarke D, Lopata AL (2014) Next generation of food allergen quantification using mass spectrometry systems. J Proteome Res 13:3499–3509

    Article  CAS  Google Scholar 

  17. Prado M, Boix A, von Holst C (2013) Development of a real-time PCR method for the simultaneous detection of mackerel and horse mackerel. Food Control 34:19–23

    Article  CAS  Google Scholar 

  18. Bignardi C, Mattarozzi M, Penna A, Sidoli S, Elviri L, Careri M, Mangia A (2013) A rapid size-exclusion solid-phase extraction step for enhanced sensitivity in multi-allergen determination in dark chocolate and biscuits by liquid chromatography–tandem mass spectrometry. Food Anal Method 6:1144–1152

    Article  Google Scholar 

  19. Johnson PE, Baumgartner S, Aldick T, Bessant C, Giosafatto V, Heick J, Mamone G, O’Connor G, Poms R, Popping B, Reuter A, Ulberth F, Watson A, Monaci L, Mills ENC (2011) Current perspectives and recommendations for the development of mass spectrometry methods for the determination of allergens in foods. J AOAC Int 94(4):1026–1033

    CAS  Google Scholar 

  20. Wieser H, Koehler P (2009) Is the calculation of the gluten content by multiplying the prolamin content by a factor of 2 valid? Eur Food Res Technol 229:9–13

    Article  CAS  Google Scholar 

  21. Cucu T, Devreese B, Kerkaert B, Rogge M, Vercruysse L, de Meulenaer B (2012) ELISA-based detection of soybean proteins: a comparative study using antibodies against modified and native proteins. Food Anal Method 5:1121–1130

    Article  Google Scholar 

  22. Sharma GM (2012) Immunoreactivity and detection of wheat proteins by commercial ELISA kits. J AOAC Int 95(2):364–371

    Article  CAS  Google Scholar 

  23. Bugyi Z, Török K, Hajas L, Adonyi Z, Popping B, Tömösközi S (2013) Comparative study of commercially available gluten ELISA kits using an incurred reference material. Qual Assur Saf Crop 5(1):79–87

    Article  CAS  Google Scholar 

  24. van Eckert R, Bond J, Rawson P, Klein CL, Stern M, Jordan TW (2010) Reactivity of gluten detecting monoclonal antibodies to a gliadin reference material. J Cereal Sci 51(2):198–204

    Article  Google Scholar 

  25. Bugyi Z, Nagy J, Török K, Hajas L, Tömösközi S (2010) Towards development of incurred materials for quality assurance purposes in the analysis of food allergens. Anal Chim Acta 672(1–2):25–29

    Article  CAS  Google Scholar 

  26. Bugyi Z, Török K, Hajas L, Adonyi Z, Poms RE, Popping B, Diaz-Amigo C, Kerbach S, Tömösközi S (2012) Development of incurred reference material for improving conditions of gluten quantification. J AOAC Int 95(2):382–387

    Article  CAS  Google Scholar 

  27. Monaci L, Brohée M, Tregoat V, van Hengel A (2011) Influence of baking time and matrix effects on the detection of milk allergens in cookie model food system by ELISA. Food Chem 127(2):669–675

    Article  CAS  Google Scholar 

  28. Platteau C, De Loose M, De Meulenaer B, Taverniers I (2011) Detection of Allergenic Ingredients Using real-time PCR: a case study on hazelnut (Corylus avellena) and soy (Glycine max). J Agric Food Chem 59:10803–10814

    Article  CAS  Google Scholar 

  29. Lacorn M, Immer U (2011) Allergen determination in food: reference materials and traceability of results. Accredit Qual Assur 16:449–452

    Article  CAS  Google Scholar 

  30. Diaz-Amigo C, Popping B (2013) Accuracy of ELISA detection methods for gluten and reference materials: a realistic assessment. J Agric Food Chem 61(24):5681–5688

    Article  CAS  Google Scholar 

  31. Siegel M, Mutschler A, Boernsen B, Pietsch K, Waiblinger H (2013) Food matrix standards for the quantification of allergenic food ingredients using real-time PCR. Eur Food Res Technol 237:185–197

    Article  CAS  Google Scholar 

  32. Phillips MM, Sharpless KE, Wise SA (2013) Standard reference materials for food analysis. Anal Bioanal Chem 405:4325–4335

    Article  CAS  Google Scholar 

  33. van Eckert R, Berghofer E, Ciclitira PJ, Chirdo F, Denery-Papini S, Ellis HJ, Ferranti P, Goodwin P, Immer U, Mamone G, Mendez E, Mothes T, Novalin S, Osman A, Rumbo M, Stern M, Thorell L, Whim A, Wieser H (2006) Towards a new gliadin reference material–isolation and characterisation. J Cereal Sci 43(3):331–341

    Article  Google Scholar 

  34. Dumont V, Kerbach S, Poms R, Johnson P, Mills C, Popping B, Tömösközi S, Delahaut P (2010) Development of milk and egg incurred reference materials for the validation of food allergen detection methods. Qual Assur Saf Crop 2(4):208–215

    Article  CAS  Google Scholar 

  35. Török K, Hajas L, Bugyi Z, Balázs G, Tömösközi S (2014) Investigation of the effects of food processing and matrix components on the analytical results of ELISA using an incurred gliadin reference material candidate. Acta Aliment Hung. doi:10.1556/AAlim.2014.0018

    Google Scholar 

  36. Török K, Horváth V, Horváth Á, Hajas L, Bugyi Z, Tömösközi S (2014) Investigation of incurred single- and multi-component model food matrices for determination of food proteins triggering allergy and coeliac disease. Eur Food Res Technol 239:923–932

    Article  Google Scholar 

  37. Gomaa A, Ribereau S, Boye JI (2012) Detection of allergens in a multiple allergen matrix and study of the impact of thermal processing. J Nutr Food Sci 9:1–6

    Google Scholar 

  38. Khuda S, Slate A, Pereira M, Al-Taher F, Jackson L, Diaz-Amigo C, Bigley EC, Whitaker T, Williams K (2012) Effect of processing on recovery and variability associated with immunochemical analytical methods for multiple allergens in a single matrix: dark chocolate. J Agric Food Chem 60:4204–4211

    Article  CAS  Google Scholar 

  39. Khuda S, Slate A, Pereira M, Al-Taher F, Jackson L, Diaz-Amigo C, Bigley EC, Whitaker T, Williams K (2012) Effect of processing on recovery and variability associated with immunochemical analytical methods for multiple allergens in a single matrix: sugar cookies. J Agric Food Chem 60:4195–4203

    Article  CAS  Google Scholar 

Download references

Acknowledgments

This research is related to the scientific goals of MoniQA Association and the Hungarian national project “Development of quality-orientated, harmonised educational and R + D+I strategy and operational model at the Budapest University of Technology and Economics” (ÚMFT TÁMOP-4.2.1/B-09/1/KMR-2010-0002). This research is also connected to the scientific program of the “Improvement and optimisation of the nutritional value and technological properties of gluten-free products—study on the effect of newly developed food additives and alternative crops” project (TÉT_10-1-2011-0731).

Conflict of interest

The authors declare that they have no conflict of interest.

Compliance with Ethical standards

This article does not contain any studies with human participants or animals performed by any of the authors. Informed consent was obtained from all individual participants included in the study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kitti Török.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Török, K., Hajas, L., Horváth, V. et al. Identification of the factors affecting the analytical results of food allergen ELISA methods. Eur Food Res Technol 241, 127–136 (2015). https://doi.org/10.1007/s00217-015-2441-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00217-015-2441-y

Keywords

Navigation