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Featured researches published by Lynn Niemann.


Analytical and Bioanalytical Chemistry | 2009

Allergen immunoassays—considerations for use of naturally incurred standards

Steve L. Taylor; Julie A. Nordlee; Lynn Niemann; Debra M. Lambrecht

The enzyme-linked immunosorbent assay (ELISA) offers many advantages for the detection of potentially hazardous allergenic food residues that might become adventitious components of other foods during the course of food production and processing. ELISAs detect proteins, and food allergens are proteins. ELISAs are sufficiently sensitive and specific for detection of food allergen residues. ELISAs can also be produced in formats that are compatible with the industrial food processing environment. However, ELISAs also have disadvantages that should be carefully evaluated and widely recognized. Various food-processing operations can have profound effects on the detectability of allergenic food residues. ELISAs detect intact proteins but protein hydrolysates evade detection in some ELISA formats. The residual proteins present in some ingredients derived from commonly allergenic sources may also not be easily detected with ELISAs because of the nature of the protein residues remaining, e.g. lipophilic. Processing operations can dramatically lower the solubility of proteins. In some food formulations, heat processing, in particular, induces chemical modifications that can affect antibody binding to epitopes in the ELISA. The use of naturally incurred standards where allergenic food residues are incorporated into various representative food matrices and then processed in a manner similar to “real-world” food processing can reveal some of the limitations of allergen ELISAs. Methods for the preparation of naturally incurred standards in chocolate, cookie, muffin, ice cream, pasta, frankfurter, and cream of potato soup are provided as examples.


Journal of Food Science | 2009

Detection of Walnut Residues in Foods Using an Enzyme-Linked Immunosorbent Assay

Lynn Niemann; Steve L. Taylor; Susan L. Hefle

Tree nuts, including walnuts, can be responsible for allergic reactions. Food manufacturers have the responsibility to declare the presence of walnuts on packaged foods even when trace residues may be present from the use of shared equipment or the adventitious contamination of ingredients. The aim of this study was to develop a rapid, sensitive, and specific enzyme-linked immunosorbent assay (ELISA) method for the detection of walnut protein residues. Mixtures of raw and roasted English walnuts of several varieties were defatted, powdered, and used as separate antigens in sheep and New Zealand white rabbits. An ELISA was developed using the sheep antiroasted walnut serum as the capture reagent and rabbit antiroasted walnut serum as the detector reagent followed by addition of commercial goat anti-rabbit IgG antibody labeled with alkaline phosphatase and subsequent substrate addition. The performance of the ELISA was validated by testing known amounts of walnut (0 to 100 ppm) either spiked into or manufactured into milk chocolate, cookies, muffins, or ice cream. Recoveries of 1 to 100 ppm walnut-in-chocolate ranged from 71.6% to 119%+/- 7% to 16.5%. The walnut ELISA has a detection limit of 1 ppm (1 microg/g) walnut in several food matrices. Substantial cross-reactivity was observed with pecan while minimal cross-reactivity was noted for hazelnut, mustard, mace, and poppy seed among almost 100 foods and food ingredients tested. This walnut ELISA can be used to detect undeclared walnut residues in foods and ingredients and as a tool to validate the effectiveness of allergen control programs for walnuts.


Journal of Food Science | 2009

Detection of Mustard, Egg, Milk, and Gluten in Salad Dressing Using Enzyme-Linked Immunosorbent Assays (ELISAS)

Poi Wah Lee; Lynn Niemann; Debra M. Lambrecht; Julie A. Nordlee; Steve L. Taylor

Enzyme-linked immunosorbent assay (ELISA) is a commonly used method for the detection of trace amounts of potentially allergenic protein residues in foods. However, food matrices and processing conditions can affect the detection of protein residues. The effects of acidity on the detectability of several allergenic proteins commonly found in salad dressing using ELISAs was investigated. First, recovery experiments were performed on salad dressing formulated with 0 to 1000 ppm mustard flour (mustard). The mean percent recovery for mustard from the salad dressing was only 7.7%+/- 1.6%. When the pH of the salad dressing was adjusted to pH 7 prior to spiking with mustard, recovery improved to 94.1%+/- 7.6%. However, if the pH was adjusted to pH 7 after spiking and extraction, the recovery was only 11.1%+/- 1.7%. When vinegar was spiked with mustard flour at pH 3, 3.5, and 4, detectability of mustard was lowest at pH 3. Basic extraction of mustard proteins from salad dressing did not improve the mustard detection. Acidic salad dressing matrices reduced the detectability of mustard by the mustard ELISA probably because of acid precipitation of mustard proteins that renders them insoluble and nonextractable. Commercial salad dressings containing 100 ppm (mg/kg) of egg, milk, or gluten were analyzed every 2 to 4 d for 90 d using 3 commercially available ELISAs. A decrease in the detection of the egg, milk, and gluten in the salad dressing upon storage was observed. Our study highlighted the importance of evaluating the utility of various ELISAs for specific food matrices and the recovery as a function of product storage.


Journal of Food Science | 2013

False positive detection of peanut residue in liquid caramel coloring using commercial ELISA kits.

T. Stelk; Lynn Niemann; Debra M. Lambrecht; Joseph L. Baumert; Steve L. Taylor

Initial food industry testing in our laboratory using enzyme-linked immunosorbent assay (ELISA) methods indicated that the darkest caramel color (class IV) unexpectedly contained traces of peanut protein, a potential undeclared allergen issue. Caramel production centers on the heating of sugars, often glucose, under controlled heat and chemical processing conditions with other ingredients including ammonia, sulfite, and/or alkali salts. These ingredients should not contain any traces of peanut residue. We sought to determine the reliability of commercially available peanut allergen ELISA methods for detection of apparent peanut residue in caramel coloring. Caramel color samples of classes I, II, III, and IV were obtained from 2 commercial suppliers and tested using 6 commercially available quantitative and qualitative peanut ELISA kits. Five lots of class IV caramel color were spiked with a known concentration of peanut protein from light roasted peanut flour to assess recovery of peanut residue using a spike and recovery protocol with either 15 ppm or 100 ppm peanut protein on a kit-specific basis. A false positive detection of peanut protein was found in class IV caramel colors with a range of 1.2 to 17.6 parts per million recovered in both spiked and unspiked liquid caramel color samples. ELISA kit spike/recovery results indicate that false negative results might also be obtained if peanut contamination were ever to actually exist in class IV caramel color. Manufacturers of peanut-free products often test all ingredients for peanut allergen residues using commercial ELISA kits. ELISA methods are not reliable for the detection of peanut in class IV caramel ingredients and their use is not recommended with this matrix.


BioMed Research International | 2015

Sandwich Enzyme-Linked Immunosorbent Assay for Detecting Sesame Seed in Foods

Stef J. Koppelman; Gülsen Söylemez; Lynn Niemann; Ferdelie E. Gaskin; Joseph L. Baumert; Steve L. Taylor

Small amounts of sesame can trigger allergic reactions in sesame-allergic patients. Because sesame is a widely used food ingredient, analytical methods are needed to support quality control and food safety programs in the food industry. In this study, polyclonal antibodies against sesame seed proteins were raised, and an enzyme-linked immunosorbent assay (ELISA) was developed for the detection and quantification of sesame seed residue in food. A comparison was made between this ELISA and other assays, particularly focusing on recovery of sesame seed residue from different food matrices. The developed ELISA is sensitive with a lower limit of quantification of 0.5 ppm and shows essentially no cross-reactivity with other foods or food ingredients (92 tested). The ELISA has a good recovery for analyzing sesame-based tahini in peanut butter, outperforming one other test. In a baked bread matrix, the ELISA has a low recovery, while two other assays perform better. We conclude that a sensitive and specific ELISA can be constructed based on polyclonal antibodies, which is suitable for detection of small amounts of sesame seed relevant for highly allergic patients. Furthermore, we conclude that different food products may require different assays to ensure adequate quantification of sesame.


The Journal of Allergy and Clinical Immunology | 2007

Consumer attitudes and risks associated with packaged foods having advisory labeling regarding the presence of peanuts

Susan L. Hefle; Terence J. Furlong; Lynn Niemann; Heather Lemon-Mulé; Scott H. Sicherer; Steve L. Taylor


Journal of Food Science | 1990

Extraction of Cholesterol and Other Lipids from Dried Egg Yolk Using Supercritical Carbon Dioxide

G. W. Froning; Randy L. Wehling; Susan L. Cuppett; M.M. Pierce; Lynn Niemann; D.K. Siekman


The Journal of Allergy and Clinical Immunology | 2010

Food allergen advisory labeling and product contamination with egg, milk, and peanut

Lara S. Ford; Steve L. Taylor; R. Pacenza; Lynn Niemann; Debra M. Lambrecht; Scott H. Sicherer


Poultry Science | 1994

Supercritical Carbon Dioxide Extraction of Lipids and Cholesterol from Dehydrated Chicken Meat

G. W. Froning; F. Fieman; Randy L. Wehling; Susan L. Cuppett; Lynn Niemann


Poultry Science | 1998

Moisture content and particle size of dehydrated egg yolk affect lipid and cholesterol extraction using supercritical carbon dioxide

G. W. Froning; Randy L. Wehling; Susan L. Cuppett; Lynn Niemann

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Steve L. Taylor

University of Nebraska–Lincoln

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Debra M. Lambrecht

University of Nebraska–Lincoln

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Susan L. Hefle

University of Nebraska–Lincoln

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Ferdelie E. Gaskin

University of Nebraska–Lincoln

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G. W. Froning

University of Nebraska–Lincoln

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Joseph L. Baumert

University of Nebraska–Lincoln

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Randy L. Wehling

University of Nebraska–Lincoln

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Scott H. Sicherer

Icahn School of Medicine at Mount Sinai

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Susan L. Cuppett

University of Nebraska–Lincoln

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Gülsen Söylemez

University of Nebraska–Lincoln

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