Assessing hazelnut allergens by protein- and DNA-based approaches: LC-MS/MS, ELISA and real-time PCR.

Hazelnut (Corylus avellana L.) is responsible for a significant part of the allergies related to nuts. Still, it is a very much appreciated nut and as consequence is widely used in all types of processed foods, such as chocolates. Correct food labelling is currently the most effective means of preventing the consumption of allergenic ingredients, namely hazelnut, by the sensitised/allergic individuals. Thus, to verify labelling compliance and to ensure allergic patient protection, the development of highly sensitive methodologies is of extreme importance. In this study, three major methodologies, namely enzyme-linked immunosorbent assays (ELISA), liquid chromatography coupled with mass spectrometry and real-time polymerase chain reaction, were evaluated for their performance regarding the detection of hazelnut allergens in model chocolates. The sandwich ELISA and respective antibodies were in-house developed and produced. With sensitivity levels of approximately 1 mg kg(-1) and limits of quantification of 50-100 mg kg(-1), all the performed methods were considered appropriate for the identification of hazelnut in complex foods such as chocolates. To our knowledge, this was the first successful attempt to develop and compare three independent approaches for the detection of allergens in foods.

Marker peptide selection for the determination of hazelnut by LC-MS/MS and occurrence in other nuts.

The aim of this work was identifying and selecting hazelnut marker peptides and subsequently developing a complementary method of common immunoassay for the detection of hazelnut. For this purpose, at first, an in silico digestion of three major hazelnut allergens (Cor a 8, Cor a 9 and Cor a 11) was performed to get information about expected peptides. After extraction and trypsin digestion of hazelnut proteins, the samples were measured with tandem mass spectrometry (MS/MS) by direct infusion, which led to identification of 14 peptides. Eight of them with the highest MS signal were synthesized and used as standards for developing a liquid chromatography (LC)-MS/MS method in selected reaction monitoring (SRM) mode. Since almost all food allergens derived from nuts belong to the seed storage protein family and have homologue structure, a Basic Local Alignment Search Tool (BLAST) search was performed to identify the hazelnut specificity of the developed method. According to BLAST, only one peptide occurs in three other nuts, and the remaining seven selected peptides are hazelnut specific. Additionally to hazelnut, the eight other listed nuts in Directive 2003/89/EC as allergen were extracted, digested and measured with the developed method to prove the BLAST results. The analytical data confirmed that six peptides are hazelnut specific, on the contrary to anti-hazelnut antibodies, which showed cross-reactivities to all other nut extracts. Comparing these results, it could be shown that with this LC-MS/MS method in SRM mode, the specific detection of hazelnut is possible.

Selection of possible marker peptides for the detection of major ruminant milk proteins in food by liquid chromatography-tandem mass spectrometry.

The aim of this work was the determination of peptides, which can function as markers for identification of milk allergens in food samples. Emphasis was placed on two casein proteins (α- and ß-casein) and two whey proteins (α-lactalbumin and ß-lactoglobulin). In silico tryptic digestion provided preliminary information about the expected peptides. After tryptic digestion of four milk allergens, the analytical data obtained by combination of reversed-phase high performance liquid chromatography and quadrupole tandem mass spectrometry (LC-MS/MS) led to the identification of 26 peptides. Seven of these peptides were synthesized and used for calibration of the LC-MS/MS system. Species specificity of the selected peptides was sought by BLAST search. Among the selected peptides, only LIVTQTMK from ß-lactoglobulin (m/z 467.6, charge 2+) was found to be cow milk specific and could function as a marker. Two other peptides, FFVAPFPEVFGK from α-casein (m/z 693.3, charge 2+) and GPFPIIV from ß-casein (m/z 742.5, charge 1+), occur in water buffalo milk too. The other four peptides appear in the milk of other species also and can be used as markers for ruminant species milk. Using these seven peptides, a multianalyte MS-based method was developed. For the establishment of the method, it was applied at first to different dairy samples, and then to chocolate and blank samples, and the peptides could be determined down to 1 ng/mL in food samples. At the end, spiked samples were measured, where the target peptides could be detected with a high recovery (over 50%).

Effectiveness of natural and synthetic blocking reagents and their application for detecting food allergens in enzyme-linked immunosorbent assays.

Blocking is an important step before an enzyme-linked immunosorbent assay (ELISA) can be performed. It reduces non-specific binding to the microtiter plate to a minimum. For detecting food allergens by means of ELISA, the problem with protein blocking solutions is obvious. The blocker might interfere with the antibodies of the assay and leads to false positive results. Therefore, other blocking solutions are greatly needed. There are some alternatives like synthetic blockers or carbohydrates. Comparisons of these different blocking agents, namely proteins, carbohydrates, and synthetic blockers, were made at different reaction conditions. The incubation periods and temperatures were varied, as well as the pH. The best combinations were evaluated and compared, in respect of their blocking efficiency. The two best non-proteinaceous blockers, i.e. polyvinylalcohol and Ficoll, were subsequently applied to ELISA tests for the determination of alpha-casein and peanut. The study showed that Ficoll and PVA did as well as BSA in buffer solution. Therefore, they can be considered as alternative blocking reagents for ELISA, especially for the detection of food allergens.

Commercialized rapid immunoanalytical tests for determination of allergenic food proteins: an overview.

Food allergies have become an important health issue especially in industrialized countries. Undeclared allergenic ingredients or the presence of "hidden" allergens because of contamination during the food production process pose great health risks to sensitised individuals. The EU directive for food labelling lists allergenic foods that have to be declared on food products by the manufacturers. The list includes gluten-containing cereals, crustaceans, eggs, fish, peanuts, soybeans, milk, various nuts (e.g. almond, hazelnut, and walnut, etc.), celery, mustard, sesame seeds, lupin, and molluscs. Reliable methods for detection and quantification of food allergens are needed that can be applied in a fast and easy-to-use manner, are portable, and need only limited technical equipment. This review focuses on the latest developments in food allergen analysis with special emphasis on fast immunoanalytical methods such as rapid enzyme-linked immunosorbent assays (ELISA), lateral-flow immunochromatographic assays (LFA) and dipstick tests. Emerging technologies such as immunochemical microarrays and biosensors are also discussed and their application to food allergen analysis is reviewed. Finally, a comprehensive overview of rapid immunochemical test kits that are currently available commercially is given in tabular form.

Assessing Almond and Peanut Allergens Using Commercially Available Immunoanalytical Kits and LC-MS/MS: A Case Study.

With an ever-increasing allergic population and an emerging market for allergen-free foods, accurate detection of allergens in foods has never been more important. Although ELISA-based methods are the most widely used for detection of allergens in food, there is a need for the development of orthogonal approaches. A commercial ELISA detected a relatively high concentration of peanut and almond in an allergen-free product. However, another commercial ELISA declared a low peanut concentration and was negative for almond. Further testing using a commercial almond lateral-flow device confirmed the results from the second ELISA kit and demonstrated that the positive detection of almond was due to cross-reactivity. An MS method was used for final confirmation that the reported results were negative for both almond and peanut.

Determination of cyclopiazonic acid in white mould cheese by liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) using a novel internal standard.

For the determination of cyclopiazonic acid (CPA) in food and feed samples a simple and accurate LC-MS/MS method, which does not require extensive sample clean-up steps, was developed and validated. A fully carbon-13-labelled internal standard was used to compensate for matrix effects. Briefly, the samples were extracted with 1% formic acid in acetonitrile and directly analysed with HPLC-MS/MS. The following MS/MS transitions were used: m/z 337/196 and 337/182 for cyclopiazonic acid; m/z 357/210 and 357/191 for (13)C20-cyclopiazonic acid. Applying this optimised method, LODs down to 0.2µgkg(-1) and LOQs down to 0.5µgkg(-1) were determined in the validated matrices. The focus of this study was testing different types of white mould cheese but other complex samples could also be analyzed successfully with this method. It was interesting to find out, that in some commercially available white mould cheese, high concentrations of CPA (up to 3700µgkg(-1)) could be found.

Development of a sandwich ELISA-type system for the detection and quantification of hazelnut in model chocolates.

Hazelnut is one of the most appreciated nuts being virtually found in a wide range of processed foods. The simple presence of trace amounts of hazelnut in foods can represent a potential risk for eliciting allergic reactions in sensitised individuals. The correct labelling of processed foods is mandatory to avoid adverse reactions. Therefore, adequate methodology evaluating the presence of offending foods is of great importance. Thus, the aim of this study was to develop a highly specific and sensitive sandwich enzyme-linked immunosorbent assay (ELISA) for the detection and quantification of hazelnut in complex food matrices. Using in-house produced antibodies, an ELISA system was developed capable to detect hazelnut down to 1 mg kg(-1) and quantify this nut down to 50 mg kg(-1) in chocolates spiked with known amounts of hazelnut. These results highlight and reinforce the value of ELISA as rapid and reliable tool for the detection of allergens in foods.

Differences in usability of rabbit IgG and chicken IgY after clean-up and impact on gold labelling properties.

For the application of antibodies in rapid test systems such as Lateral Flow Devices (LFD) antibodies have to be coupled to coloured particles for immediate readability of the test system. In this work colloidal gold was selected for conjugation to the antibodies. Polyclonal rabbit antibodies were chosen for the development of Lateral Flow Devices for the detection of bovine alpha-casein. For antibody comparison chicken egg yolk IgY and sheep IgG were additionally used. Rabbit and chicken antibodies were purified from rabbit sera and egg yolk using affinity chromatography and alternatively ammonium sulphate precipitation, Sheep IgG was commercially obtained. In the course of colloidal gold sol titration experiments differences not only between antibody species but also between differently purified rabbit IgG were observed. While affinity purified rabbit IgG was not able to stabilise colloidal gold particles, antibodies obtained by ammonium sulphate precipitation resulted in a stable gold conjugate suitable for application in Lateral Flow Assays. This work compares and discusses the impact of antibody pre-treatment on further conjugation capacity.