Quantitative sandwich ELISA for determination of traces of hazelnut (Corylus avellana) protein in complex food matrixes

Advances on the rapid and multiplex detection methods of food allergens

With the gradually increasing prevalence of food allergy in recent years, food allergy has become a major public health problem worldwide. The clinical symptoms caused by food allergy seriously affect people's quality of life; there are unknown allergen components in novel food and hidden allergens caused by cross contamination in food processing, which pose a serious risk to allergy sufferers. Thus, rapid and multiplex detection methods are required to achieve on-site detection or examination of allergic components, so as to identify the risk of allergy in time. This paper reviews the progress of high-efficiency detection of food allergens, including enhanced traditional detection techniques and emerging detection techniques with the ability high-throughput detection or screening potential food allergen, such as xMAP, biosensors, biochips, etc. focusing on their sensitivity, applicability of each method in food, along with their pretreatment, advantages, limitation in the application of food analysis. This paper also introduces the challenges faced by these high-efficiency detection technologies, as well as the potential of customized allergen screening methods and rapid on-site detection technology as future research directions.

Are current analytical methods suitable to verify VITAL® 2.0/3.0 allergen reference doses for EU allergens in foods?

Food allergy affects up to 6% of Europeans. Allergen identification is important for the risk assessment and management of the inadvertent presence of allergens in foods. The VITAL® initiative for voluntary incidental trace allergen labeling suggests protein reference doses, based on clinical reactivity in food challenge studies, at or below which voluntary labelling is unnecessary. Here, we investigated if current analytical methodology could verify the published VITAL® 2.0 doses, that were available during this analysis, in serving sizes between 5 and 500 g. Available data on published and commercial ELISA, PCR and mass spectrometry methods, especially for the detection of peanuts, soy, hazelnut, wheat, cow's milk and hen's egg were reviewed in detail. Limit of detection, quantitative capability, matrix compatibility, and specificity were assessed. Implications by the recently published VITAL® 3.0 doses were also considered. We conclude that available analytical methods are capable of reasonably robust detection of peanut, soy, hazelnut and wheat allergens for levels at or below the VITAL® 2.0 and also 3.0 doses, with some methods even capable of achieving this in a large 500 g serving size. Cow's milk and hen's egg are more problematic, largely due to matrix/processing incompatibility. An unmet need remains for harmonized reporting units, available reference materials, and method ring-trials to enable validation and the provision of comparable measurement results.

Protein or No Protein? Opportunities for DNA-Based Detection of Allergenic Foods

In food allergy, a common immunological disease with a potentially severe outcome, a causative cure is not available. Correct ingredient labeling and risk assessment of unlabeled allergen cross-contact is a prerequisite for effective allergen avoidance. Specific and sensitive analytical methods, which allow for unequivocal identification and accurate quantification of allergenic components, are important tools in allergen risk management. Both protein- and DNA-based methods are in place and reveal pros and cons depending upon the application and individual analytical question. This perspective highlights relevant molecular aspects and discusses, especially, opportunities for the application of DNA-based methods for the detection of allergenic foods.

The BASALIT multicenter trial: Gly m 4 quantification for consistency control of challenge meal batches and toward Gly m 4 threshold data

SCOPE

The BASALIT clinical trial (EudraCT 2009-011737-27) investigated efficacy of birch allergen immunotherapy on lowest observed adverse effect levels after soy food challenge in patients with birch-associated and Gly m 4 allergen mediated soy allergy. Thus, consistently stable Gly m 4 levels were required in standardized challenge meals.

METHODS AND RESULTS

Soy meal included soy protein isolate (SPI, 88% total protein). A Gly m 4 specific ELISA was developed and validated. Six SPIs and 24 meal batches were analyzed for Gly m 4. (Repeated-measures) analyses of variance were done to identify potential changes between batches and time intervals. Gly m 4 was below the ELISA detection limit (2 ng/mL) in placebo batches. With <20% mean coefficient of variation, Gly m 4 levels were consistent in 24 soy meal batches and within individual 12-wk shelf-life.

CONCLUSION

The novel Gly m 4 specific ELISA proved consistency of challenge meal batches over a 56-month study period. With an average of 178 μg/g Gly m 4 in SPI, Gly m 4 lowest observed adverse effect level can be calculated once clinical lowest observed adverse effect level data based on SPI are available. Hence, sensitivity of patients can be correlated to the relevant allergen content instead of total protein of the allergenic source.

Analysis to support allergen risk management: Which way to go?

Food allergy represents an important food safety issue because of the potential lethal effects; the only effective treatment is the complete removal of the allergen involved from the diet. However, due to the growing complexity of food formulations and food processing, foods may be unintentionally contaminated via allergen-containing ingredients or cross-contamination. This affects not only consumers' well-being but also food producers and competent authorities involved in inspecting and auditing food companies. To address these issues, the food industry and control agencies rely on available analytical methods to quantify the amount of a particular allergic commodity in a food and thus to decide upon its safety. However, no "gold standard methods" exist for the quantitative detection of food allergens. Nowadays mostly receptor-based methods and in particular commercial kits are used in routine analysis. However, upon evaluation of their performances, commercial assays proved often to be unreliable in processed foods, attributed to the chemical changes in proteins that affect the molecular recognition with the receptor used. Unfortunately, the analytical outcome of other methods, among which are chromatographic combined with mass spectrometric techniques as well as DNA-based methods, seem to be affected in a comparable way by food processing. Several strategies can be employed to improve the quantitative analysis of allergens in foods. Nevertheless, issues related to extractability and matrix effects remain a permanent challenge. In view of the presented results, it is clear that the food industry needs to continue to make extra efforts to provide accurate labeling and to reduce the contamination with allergens to an acceptable level through the use of allergen risk management on a company level, which needs to be supported inevitably by a tailor-validated extraction and detection method.

Allergen sanitation in the food industry: a systematic industrial scale approach to reduce hazelnut cross-contamination of cookies

Recently, we investigated the impact of shared equipment on cross-contamination of cookies at a pilot plant scale. Based on those findings, this study investigated the extent and subsequent sanitation of hazelnut cross-contamination (HNCC) of cookies at the industrial scale. Similarly, a product change from cookies with hazelnut ingredient to cookies without hazelnut was performed on standard equipment. HNCC in the hazelnut-free follow-up product was quantified by enzyme-linked immunosorbent assay for each production device and the applied cleaning procedure. All experiments were repeated in duplicate. The highest HNCC was found in concordance with previous studies after mere mechanical scraping: more than 1,000 mg of hazelnut protein per kg was quantified in the follow-up product after processing by a cookie machine. Additional cleaning with hot water decreased the HNCC irrespective of the processing device to levels at or below 1 mg of hazelnut protein per kg. Furthermore, raw materials for cookie production were monitored over a period of 24 months for unwanted preloads of hazelnut and peanut: hazelnut was quantified in 16% of the investigated raw materials as being between 0.26 and 90 mg/kg. Further critical control points at the industrial scale, where cross-contamination might occur, were identified but did not display noteworthy sources of cross-contamination. In conclusion, the quantitative monitoring of the cleaning efficiency at the industrial scale confirmed the procedure of manual scraping plus wet cleaning as a qualified sanitation procedure to effectively reduce the hazelnut protein cross-contamination down to a level at which severe hazelnut-related allergic reactions are unlikely to occur.

Development and validation of an indirect competitive enzyme linked-immunosorbent assay for the determination of potentially allergenic sesame (Sesamum indicum) in food

This study was designed to develop an indirect competitive enzyme linked-immunosorbent assay (ELISA) to detect traces of sesame in food. Antibodies against sesame were prepared by immunizing a hen with a protein extract of white, peeled sesame. The ELISA did not show any cross-reactivity with 12 of 13 food ingredients tested, only for chocolate was a low cross-reactivity of 0.7% observed. To eliminate matrix effects, sesame protein standard solutions were prepared by diluting the sesame extract with blank food matrix (1:20 diluted with PBS). Recovery of sesame protein in food samples (crisp toasts, snacks, and rolls) spiked with different sesame protein concentrations ranged from 85% to 120%, with the exception of multigrain crisp toast, resulting in too high recoveries (117%-160%) and whole grain bread, yielding too low recoveries (70%-85%). In crisp bread, cracker, cereals, and snacks the limit of detection (LOD) was found to be 5 microg of sesame protein/g of food, in fresh breads and rolls, the LOD was 11 microg of sesame protein/g of food.

Biosensor immunoassay for traces of hazelnut protein in olive oil

The fraudulent addition of hazelnut oil to more expensive olive oil not only causes economical loss but may also result in problems for allergic individuals as they may inadvertently be exposed to potentially allergenic hazelnut proteins. To improve consumer safety, a rapid and sensitive direct biosensor immunoassay, based on a highly specific monoclonal antibody, was developed to detect the presence of hazelnut proteins in olive oils. The sample preparation was easy (extraction with buffer); the assay time was fast (4.5 min only) and the limit of detection was low (0.08 microg/g of hazelnut proteins in olive oil). Recoveries obtained with an olive oil mixed with different amounts of a hazelnut protein containing hazelnut oil varied between 93% and 109%.

Development and validation of a duplex real-time PCR method to simultaneously detect potentially allergenic sesame and hazelnut in food

The paper describes the development and validation of a duplex real-time PCR method allowing the simultaneous detection of traces of potentially allergenic sesame and hazelnut in food. For the detection of sesame and hazelnut, the genes coding for two major allergenic proteins, Ses i 1 and Cor a 1, were selected. The duplex real-time PCR assay did not show any cross-reactivity with 25 common food ingredients from sesame and/or hazelnut containing foods. Analysis of serially diluted sesame/hazelnut DNA resulted in good linearity up to a dilution of 1:10000 (corresponding to 10 pg microL(-1) or 50 pg). Sesame and hazelnut could be detected in blank whole meal cookies which had been spiked with 0.005% sesame and 0.005% hazelnut. The applicability of the real-time PCR assay for determining sesame and hazelnut in different food matrices was investigated by analyzing 30 commercial foodstuffs comprising salty snacks, cookies, chocolates, creams, mueslis and muesli bars.

Pilot plant investigations on cleaning efficiencies to reduce hazelnut cross-contamination in industrial manufacture of cookies

Shared equipment in industrial food manufacture has repeatedly been described as a potential source of unlabeled food allergens, i.e., hidden allergens. However, the impact of shared equipment on allergen cross-contamination is basically unknown. Therefore, we sought to investigate systematically the extent of hazelnut cross-contamination in fine bakery wares as a model. A product change from cookies with 10% hazelnut to cookies without hazelnuts was simulated on pilot plant equipment. The extent of hazelnut cross-contamination (HNCC) was analyzed by enzyme-linked immunosorbent assay (ELISA) for each production device (kneaders, rotary molder, wire cutting machine, and steel band oven) and various cleaning procedures used between products. The experiments were performed repeatedly with finely ground hazelnuts and with roughly chopped hazelnut kernels. Cross-contamination from chopped kernels was distributed statistically but not homogeneously, and sampling and analysis with the ELISA was therefore not reproducible. Further analysis concentrated on homogenously distributed HNCC from ground hazelnut. Apart from product changes without intermediate cleaning, the highest HNCC was found after mechanical scraping: Up to 100 mg/kg hazelnut protein was found in the follow-up product after processing by one machine. After additional cleaning with hot water, the HNCC decreased regardless of the processing device to levels at or below 1 mg/kg hazelnut protein. In our pilot plant study, the application of an appropriate wet cleaning procedure in combination with quantitative monitoring of the cleaning efficiency reduced the hazelnut protein cross-contamination to a level at which severe hazelnut-related allergic reactions are unlikely to occur.

Tree nut and peanut consumption in relation to chronic and metabolic diseases including allergy

The New and Emerging Research session highlighted the emerging understanding of both the positive and negative effects of nuts consumption on health. The limited nature of both experimental and epidemiological evidence for positive relationship(s) between nut intake and health were noted. Study inconsistency and limitations, particularly survey methodology, were explored. Recent results from epidemiologic studies indicating a potential negative association between nut and seed intake and cancer risk were reviewed. The ability of walnuts to reduce endothelin suggests an interesting biochemical mechanism of nut action that may affect other endothelin-associated diseases, which should be further explored. The effects of nuts and their constituents on a nuclear receptor screen (PPARalpha, beta/delta, gamma, LXRalpha, beta, RXRalpha, beta, gamma, PXR, and FXR) have been explored. Nut allergenicity and approaches necessary to minimize this effect were also described. In contrast to the positive effects, nut allergies present tree nut-allergic consumers with health challenges. The Food Allergy and Anaphylaxis Network stressed the importance of ensuring that consumers with food allergies have legible, accurate food labels. The Food Allergen Labeling and Consumer Protection Act has engendered precautionary, worst-case allergen scenario labeling statements with unknown benefits to consumer health. Issues of cross-contamination due to shared equipment and shared facilities highlighted the need to rely on allergen control programs that use ELISA technology and have increased understanding of nut allergens. Ultimately, to maximize the positive benefits of nuts, the consumer must be provided with all the information required to make an informed choice.

Development of a real-time PCR method to detect potentially allergenic sesame (Sesamum indicum) in food

Recent papers indicate that the prevalence of allergic reactions to sesame (Sesamum indicum) is increasing in European countries. This paper describes the development of a selective real-time PCR method for the detection of sesame in food. The assay did not show any cross-reactivity with 17 common food ingredients. The real-time PCR method was applied to determine sesame in several crackers, salty snacks, biscuits, tahina sesame paste and sesame oil. With the exception of sesame oil, in all of the samples where sesame was declared, sesame was detected by the real-time PCR assay (Ct value<35). In the samples which might contain sesame or where sesame was not listed, sesame could not be detected (Ct value>35).

Food allergen detection methods and the challenge to protect food-allergic consumers

The detection of allergenic ingredients in food products has received increased attention from the food industry and legislative and regulatory agencies over recent years. This has resulted in the improvement of measures aimed at the protection of food-allergic consumers. The controlled production of food products and control activities executed by food inspection agencies rely on the availability of methods capable of detecting traces of allergenic ingredients. The development of such methods faces a multitude of analytical challenges. Those challenges will be identified and discussed in this review. Furthermore, future developments and trends in analytical methodology as applied to the detection of food allergens are reported.

A novel PCR method for quantification of buckwheat by using a unique internal standard material

A novel quantitative and specific method for detection of buckwheat, a known food allergen, in diverse food materials was developed by using a unique internal standard to compensate for the variability in DNA extraction and amplification efficiencies. The method was based on a real-time PCR targeting the internal transcribed spacer region of Fagopyrum spp. and was designed to detect both cultivated and wild buckwheat, because wild buckwheat might be potentially allergenic. As the internal standard material, ground seeds of statice (Limonium sinuatum) were added to food samples prior to DNA extraction, and the amount of statice DNA measured by real-time PCR was used to standardize the buckwheat content. Statice, an ornamental plant, was chosen as the internal standard material because it was readily available and was inferred to be least likely to be commingled in foods. The specificity of the PCR system was tested against commonly used food materials of plant origin. Quantitative results expressed in buckwheat protein concentrations (mean +/- standard deviation) for various food samples prepared to contain 10 ppm (wt/wt) of buckwheat flour (corresponding to 1.2-microg/g [ppm] buckwheat protein) ranged from 0.7 +/- 0.2 (rice) to 0.9 +/- 0.4 (wheat) and for 100-ppm (wt/wt) samples (12-microg/g [ppm] buckwheat protein) from 7.7 +/- 1.0 (pepper) to 9.8 +/- 0.5 (wheat) microg/g (ppm). The method's accuracy, sensitivity, and specificity were considered sufficient for detection of buckwheat contamination at the level required for compliance with the Japanese Food Allergen Labeling Regulation.

PCR method for detecting trace amounts of buckwheat (Fagopyrum spp.) in food

Buckwheat often causes severe allergic reactions, even when its ingestion level is extremely low. Therefore, buckwheat is listed in several countries as a common food allergen. In addition to common buckwheat and Tartarian buckwheat that are cultivated and consumed widely, wild buckwheat may be potentially allergenic. Food containing undeclared buckwheat poses a risk to patients with the buckwheat allergy. We describe in this report a PCR method to detect buckwheat DNA by using primers corresponding to the internal transcribed spacer region and the 5.8S rRNA gene. The method is buckwheat-specific and compatible with both cultivated and wild buckwheat of the Fagopyrum spp. Its sensitivity was sufficient to detect 1 ppm (w/w) of buckwheat DNA spiked in wheat DNA. This method should benefit food manufacturers, clinical doctors, and allergic patients by providing information on the presence of buckwheat contamination in food.

Multi-allergen screening immunoassay for the detection of protein markers of peanut and four tree nuts in chocolate

A multiresidue enzyme immunoassay was developed to check for the presence of markers of peanut, hazelnut, almond, cashew and Brazil nuts in a single run. The assay was designed under the competitive indirect format and adapted for screening purposes applied to chocolate samples. The limit of detection for this assay was below 1 microg g-1 protein for each allergenic food. In most cases, the high specificity of the antibodies used allowed the identification of each particular allergenic food with no possible confusion. This assay was proven to be useful as part of an analytical procedure involving the identification of the unknown allergenic food among peanut and other tree nuts in recalled samples before the application of a quantitative technique to determine the level of cross-contamination.

Validated sandwich enzyme-linked immunosorbent assay for casein and its application to retail and milk-allergic complaint foods

Cows' milk is a commonly allergenic food. Cross-contamination of milk proteins into nondairy, kosher-pareve foods prepared on shared processing equipment can cause severe, life-threatening reactions in milk-allergic individuals. A sandwich-type enzyme-linked immunosorbent assay (ELISA; 96-well plate format) was developed for the detection of undeclared casein in foods. Rabbit anti-casein antibodies were used as the capture reagent. Food samples and standards were ground, extracted in 0.01 M phosphate-buffered saline, clarified by centrifugation, and added to the wells. Goat anti-casein antibodies were employed as the detector antibody, and the amount of antibody bound was determined with a commercial rabbit anti-goat immunoglobulin conjugated to alkaline phosphatase, with subsequent substrate reaction. Antibodies developed were specific to casein, with no cross-reaction observed with 30 foods and food ingredients. Non-milk-containing products such as fruit juices, fruit juice bars, sorbets, and dark and pareve-labeled chocolate were purchased from June 2002 through June 2003. In addition, samples allegedly causing eight milk-allergic consumer complaints were analyzed. The ELISA had a detection limit of less than 0.5 ppm of casein. The casein content in the analyzed foods ranged from less than 0.5 ppm to more than 40,000 ppm casein; undeclared casein residues were found in all of the samples implicated in allergic reactions. The levels of milk contamination in some of the other surveyed products could also be hazardous for milk-allergic consumers. This ELISA method provides a useful quality control tool for the food industry and could also be used as a validation of kosher-pareve status.

Food allergy and the food industry

Although most food-allergic reactions occur after ingestion of nonpackaged food products, the food industry has been subjected to increasing scrutiny of their allergen controls; the resulting impact on the industry has been remarkable. Undeclared food allergens have been responsible for many food product recalls during the past 13 years, and the food industry has made significant investment, effort, and improvements in allergen control during this time. Recently, tests for some allergenic foods have been commercialized, and proven useful to the industry in controlling allergens and helpful for regulatory agencies investigating food-allergic consumer complaints. However, testing methods still do not exist for some of the common allergenic foods. Labeling initiatives have been pursued to make ingredient listings more easily understood by food-allergic consumers, but further improvements could still be made. Additional research to determine eliciting doses for allergenic foods is needed to enable science-based risk assessment and risk management.

Peanut allergen (Ara h 1) detection in foods containing chocolate

Inadvertent exposure to peanut in foods poses health risks for peanut-allergic individuals that can be reduced by improving detection systems for allergen contaminants in food products and manufacturing processes. Detection of peanut in chocolate has been especially difficult. We report the optimization of conditions for measuring a major peanut allergen, Ara h 1, in chocolate with the use of a two-site monoclonal antibody sandwich enzyme-linked immunosorbent assay. Ara h 1 was extracted from peanut in the presence or absence of chocolate with phosphate buffer, salt, and three dried milks (goat, soy, or nonfat) (0 to 25% wt/vol) for 15 min at 60 degrees C or for 2.5 h at room temperature. The best conditions for Ara h 1 extraction in the presence of chocolate were 5% nonfat dry milk for 2.5 h at room temperature. Spiking experiments of chocolate with peanut confirmed improvement of the extraction: Ara h 1 was detected in extractions of 0.16 to 0.33% peanut in chocolate. Interestingly, the best conditions for Ara h 1 extraction were different for peanut alone than with chocolate, regarding time, temperature, and percentage of nonfat dry milk in the extraction buffer. In chocolate with peanut foods, the total Ara h 1 values were 10-fold higher than when products were extracted with phosphate buffer alone and could be up to 400-fold higher for individual foods. The dramatic improvement of Ara h 1 extraction should allow specific allergen monitoring in chocolate-containing food products and assessment of Ara h 1 exposure.

Methods for allergen analysis in food: a review

Food allergies represent an important health problem in industrialized countries. Undeclared allergens as contaminants in food products pose a major risk for sensitized persons. A proposal to amend the European Food Labelling Directive requires that all ingredients intentionally added to food products will have to be included on the label. Reliable detection and quantification methods for food allergens are necessary to ensure compliance with food labelling and to improve consumer protection. Methods available so far are based on protein or DNA detection. This review presents an up-to-date picture of the characteristics of the major food allergens and collects published methods for the determination of food allergens or the presence of potentially allergenic constituents in food products. A summary of the current availability of commercial allergen detection kits is given. One part of the paper describes various methods that have been generally employed in the detection of allergens in food; their advantages and drawbacks are discussed in brief. The main part of this review, however, focuses on specific food allergens and appropriate methods for their detection in food products. Special emphasis is given to allergenic foods explicitly mentioned in the Amendment to the European Food Labelling Directive that pose a potential risk for allergic individuals, namely celery, cereals containing gluten (including wheat, rye and barley) crustaceans, eggs, fish, peanuts, soybeans, milk and dairy products, mustard, tree-nuts, sesame seeds, and sulphite at concentrations of at least 10 mg kg(-1). Sulphites, however, are not discussed.

Monitoring peanut allergen in food products by measuring Ara h 1

BACKGROUND

Peanut allergy is an important health problem in the United States, affecting approximately 0.6% of children. Inadvertent exposure to peanut is a risk factor for life-threatening food-induced anaphylaxis.

OBJECTIVE

The purpose of this investigation was to develop an immunoassay for a major peanut allergen, Ara h 1, to detect peanut allergen in foods so that the risk of inadvertent exposure can be reduced.

METHODS

A specific 2-site monoclonal antibody-based ELISA was developed to measure Ara h 1 in foods. The sensitivity of the assay was 30 ng/mL. Ara h 1 was measured in foods (n = 83) with or without peanut and in experiments to optimize allergen yield and to determine peanut contamination in spiked foods.

RESULTS

Ara h 1 levels in food products ranged from less than 0.1 microg/g to 500 microg/g. Ara h 1 measured in ng/mL was transformed to microg/g for food products. Peanut butter contained the highest amounts of Ara h 1. Peanut extracts contained from 0.5 to 15 mg Ara h 1/g of peanut depending on the extraction conditions. Optimal extraction of Ara h 1 was obtained by using phosphate buffer with 1 mol/L NaCl and Tween at 60 degrees C. Ara h 1 was not always detected in presence of chocolate under the extraction conditions tested. Spiking experiments showed that the assay could detect approximately 0.1% Ara h 1 contamination of food with ground peanut. There was an excellent correlation between Ara h 1 levels and peanut content measured by using a commercial polyclonal antibody-based ELISA (r = 93, n = 31, P <.001).

CONCLUSION

A new sensitive and specific monoclonal antibody-based ELISA was used to monitor Ara h 1 content in food products. This assay should be useful for monitoring peanut contamination in the food manufacturing and processing industry and in developing thresholds for sensitization or allergic reaction in persons with peanut allergy.

Stability of food allergens and allergenicity of processed foods

The allergenicity of food could be altered by several processing procedures. For various foods of animal and plant origin the available literature on this alteration is described. Investigations on hidden allergens in food products are also dealt with.

Detection of trace amounts of hidden allergens: hazelnut and almond proteins in chocolate

Many patients with immediate type allergy to tree pollen also suffer from intolerance to hazelnuts and almonds. Since rather low levels of hazelnut and almond proteins can provoke an allergic reaction in sensitized individuals, an immunoblot technique has been developed for the detection of potentially allergenic hazelnut and almond proteins in chocolate. Initially, IgE binding hazelnut and almond proteins were detected by immunoprobing with allergic patients' sera. For routine analysis, patients' sera were substituted with polyclonal rabbit antisera, and sensitivity was enhanced by the use of a chemiluminescent detection method. This technique allowed the detection of less than 0.5 mg of hazelnut or almond proteins per 100 g of chocolate (= 5 ppm). It was applied for routine screening purposes in product quality control as well as for optimization of cleaning steps of filling facilities to minimize cross contamination during production.