Determination of Amygdalin in Apricot Kernels and Almonds Using LC-MS/MS.
Background: Cyanogenic glycosides are secondary metabolites in plants. In almonds and apricot kernels, amygdalin is an abundant cyanogenic glycoside. Upon consumption, amygdalin is enzymatically metabolized into hydrogen cyanide. Depending on the number of kernels consumed and the amygdalin concentration, ingestion of amygdalin-containing kernels may result in adverse effects. To better understand the U.S. marketplace, the […]
High-throughput Analysis of Aflatoxins in Cereals, Nuts and Processed Products Involving Automated Immunoaffinity Cleanup and Inline HPLC-Fluorescence Detection.
Background: The testing of aflatoxins (AFs) in fresh and processed foods is highly demanded to comply with trade regulations. Consequently, commercial laboratories face huge AF sample loads in food consignments. Worldwide, there is a rising interest to implement automation to increase sample throughput in AF analysis. Objective: This study sought to evaluate the performance of an automated […]
Investigation of the Conditions for Preconcentration of Cadmium Ions by Solid Phase Extraction Method Using Modified Juglans Regia L. Shells
Background: Juglans regia L. shells as agricultural wastes can be considered as alternative sorbents to minimize the problems associated with heavy metal pollution. Objective: In this study Juglans regia L. shells and Juglans regia L. shells modified with hydrazine hydrate were used as sorbents and compared for the preconcentration of Cd(II) ions from aqueous solution. […]
Detection and Quantitation of Selected Food Allergens by Liquid Chromatography with Tandem Mass Spectrometry: First Action 2017.17.
Background: In response to a need for accurate and reliable methods for food allergen regulatory compliance, a method for the detection and quantitation of whole egg, whole milk, peanut, and hazelnut in eight food matrices was developed and evaluated in a single-laboratory validation. The matrices include cookies, cookie dough, bread, breakfast cereal, salad dressing, ice […]
Detection and Quantification of Allergens in Foods and Minimum Eliciting Doses in Food-Allergic Individuals (ThRAll).
Risk-based approaches to managing allergens in foods are being developed by the food industry and regulatory authorities to support food-allergic consumers to avoid ingestion of their problem food, especially in relation to the traces of unintended allergens. The application of such approaches requires access to good quality data from clinical studies to support identification of […]
Simultaneous Detection of 13 Allergens in Thermally Processed Food Using Targeted LC-MS/MS Approach.
Food allergy is a major concern for public health and food industries. Because of the large numbers of food ingredients to be tested, MS is considered an alternative to existing techniques in terms of high selectivity, sensitivity, and capability to analyze multiple allergens simultaneously. In this study, we developed the method for monitoring significant peptides […]
Investigation of reduced ELISA recovery of almond and hazelnut traces from roasted nut samples by SDS-PAGE and mass spectrometry.
Western society is facing an increase in the number of food-allergic individuals, with rising incidence in the past years. Therefore, allergen-free food and accurate and reliable analysis of allergen contamination are essential for the protection of consumers. Yet, there is limited understanding on the effect of food processing on allergenicity and on the ability of […]
Reveal Q+ MAX® for Detection of Total Aflatoxin in Corn, Almonds, Pistachios, Walnuts, and Peanuts.
Background: The Reveal Q+ MAX for Aflatoxin is a lateral flow immunochromatographic test intended for quantitative analysis within 6 min after aqueous extraction. Objective: Work was conducted to validate the performance of the Reveal Q+ MAX for Aflatoxin method in selected corn and nut matrixes. Methods: This method was validated under the requirements of the AOAC Research Institute Performance Tested MethodSM program. […]
Detection of Peanut Allergen Ara h 6 in Commercially Processed Foods using a Single-Walled Carbon Nanotube-Based Biosensor.
Background: The peanut protein Arachis hypogaea (Ara h) 6 is one ofthe most serious food allergens that contributes to food-related, life-threatening problems worldwide. The extremely low allergic dose demands for more selective and rapid methods for detecting Ara h 6. Objective: The goal of this study was to develop a single-walled carbon nanotube (SWCNT)-based biosensor […]
Comparison of Real-Time Polymerase Chain Reaction and Enzyme-Linked Immunosorbent Assay for Sensitive and Quantitative Detection of Hazelnuts in Nut Pastes.
Background: Hazelnuts, being a frequent agent of allergenic reactions, need to be detected in food products. Thus, it is necessary to develop and further investigate appropriate methods for detection. Objective: The aim of the study was to compare the analysis of nut pastes (peanut paste spiked with different amounts of hazelnut paste) as a model of contamination of […]