AOAC 133rd Annual Meeting - Final Program

Scientific Sessions | Tuesday

contained within the Orbitrap-MS survey scan. Additionally, we will present how untargeted MS data acquisition can be used to optimize targeted MRM assays for a variety of commodities. Untargeted and targeted methods allowed comprehensive gela- tin speciation and adulteration detection down to 0.1% (w/w) of undesired pork gelatin. 9:20 AM Effect of Mass Acquisition Window in nDATA on the Performance of Pesticide Multiresidue Methods Amadeo Fernandez-Alba, University of Almería All ion fragmentation is the traditional approach to non-target MS2 data acquisition. Besides numerous benefits, it has some limitations. The most challenging one is presence of isobaric fragment ions. The sequential mass window acquisition is a very convenient way to improve the selectivity in non-target data acquisition. The analyst developing the acquisition method must decide how many mass windows will be optimal. Higher number of mass windows reduces interferences and by that improve the identification. On the other hand, decreases the number of data points per chromatographic peak and in consequence has nega- tive impact on the quantitative aspects of the analysis. To check the influence of various number of mass windows a group of 163 pesticides was analyzed. The experiments were carried out in two instruments, a QToF and QOrbitrap. Three matrices (tomato, orange, and leek) were selected for the study. Acquisition methods of 1, 5, 8, and 20 mass windows were checked. The evaluation included the most important parameters as detection, identification, mass accuracy, number of data points per chro- matographic peak, stability of the ion ration. SYMPOSIUM: Non-Targeted Testing for Food Authenticity—Ideas, Challenges, Requirements 8:15 AM – 9:45 AM Grand Ballroom 2 Chairs: Arne Duebecke, Tentamus Center Food Fraud Dana Krueger, Krueger Food Laboratories, Inc. 8:15 AM Establishment of a Regional Specific Database for Fruit Juice Authentication using the Synergy with the Voluntary Control System of SGF International e.V. Peter Rinke, SGF International e.V. I Sure – Global – Fair The Voluntary Control System of SGF International e.V. is a well-established and worldwide unique system to combat food fraud in the fruit and vegetable juice industry. System audits and product checks are combined to assure fair competition while the control system includes effective measures for the implementation of corrective actions. For this purpose many control samples must be screened and a large scope of possible types of frauds must be covered by control analyses. Only databases refined for different origins

allow correct analytical result interpretation and a good detec- tion of non-authentic products. Supply chains for most fruit juices are characterized through a diversity of different attributes. Parameters like origin, cultivars, varieties, production techniques, and seasonal climatic varia- tions are influencing the chemical profile of juice and must be covered by reference materials. Thus, a high number of control samples and of authentic reference samples must be analyzed. High-throughput NMR juice screening became a central tool in the applied analytical strategy. Its untargeted capacity to identify deviations and to quantify important parameters allows the selection of suspicious samples in a first step. Then analyses are selected to confirm frauds with targeted methods that are the most suitable for any individual case. 8:45 AM Assuring Authenticity of Samples for a Honey Reference Database Arne Duebecke, Tentamus Center for Food Fraud Honey is mentioned in the top ten of the most often adulterated foods in the U.S. as well as in Europe. Many, mostly targeted, analytical methods to detect adulteration of honey already exist, e.g., AOAC 998.12, which detects C 4 -sugar addition to honey using the carbon isotope ratio (honey bees only use C 3 -plants). The downside of targeted methods is the decreasing rate of detection with time, as fraudsters learn how to circumvent the methods. Thus, there is a constant need for new (targeted) meth- ods to detect new ways of adulteration. More recently, non-targeted approaches, like NMR and high-resolution mass spectrometry, have proven to be powerful in detecting adulteration of honey and also to be more difficult to circumvent. However, such an approach usually relies on a data- base of authentic samples. But where to get samples and how to ensure that only authentic samples are included in the database? Can I be sure that all my samples are 100% authentic? Where to draw the line between authentic and adulterated? What are the costs? These and other questions need to be taken into account to successfully build up a sound reference database. 9:15 AM Use of Standard Methods and Materials in Developing Non-Targeted Methods Kenny Xie, U.S. Pharmacopeia (USP) Use of food standards and reference materials enables food manufacturers and regulators to verify the identity, quality, and purity of food ingredients, which helps to ensure the overall safety and integrity of the food ingredient supply chain. In this presentation, food standards and materials used for non-tar- geted methods will be introduced. A non-targeted method for detecting adulteration is one which models the properties of the authentic material rather than the properties of the adulterants or any of the adulterant’s characteristics. Confusion on terminology and lack of guidance on procedures to develop and validate a non-targeted method for food fraud detection has limited the wider application of the method. U.S. Pharmacopeia-Food Chemicals Codex has developed and further revised a guid- ance document to address this need. The guidance covers: the

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