AOAC 133rd Annual Meeting - Final Program

Poster Abstracts | Monday

each protein powder and use principle coordinate analysis to produce differential groupings, providing a novel identification method for raw materials. This demonstrates microbiome profiling can be an important forensic tool for quality control. Presenter: Christopher Thompson, Herbalife Manufacturing, LLC, Lake Forest, CA, USA, Email: christophert@herbalife.com P-M-045 Debra Ellisor , W. Davis , U.S. National Institute of Standards and Technology, Charleston, SC, USA; John Seghers , Hanne Leys , Haåkan Emteborg , European Commission– Joint Research Centre, Geel, Belgium Comparing Processing Methods for Food Authentication RMs: A Case Study in Suitability The development of new reference materials (RMs) for the purpose of food authentication and food safety has increased in recent years due to economic and environmental hardship attributable to falsification of imported goods. Though the wide variety of RMs that could be generated for this purpose is broad, the cost of production, including processing, subsequent testing, storage and shipping must be taken into consideration without compromising the functionality of the material. Frozen materi- als, though arguably more similar to fresh food products, are more costly to store and generally require dry ice for shipment, rendering these materials inaccessible to some customers due to strict shipping regulations. Freeze-dried materials are generally less expensive to store and ship, however production methods used to generate them can affect their composition and integrity for certain types of analysis such as genetic testing, which is commonly used to assess authenticity of food. To this end, the National Institute of Standards and Technology (NIST) and the Joint Research Centre (JRC) have worked together to evaluate differences in proteomic and genetic data generated from a series of fresh-frozen seafood authenticity RMs and those same materials further processed by freeze drying. Presenter: Debra Ellisor, U.S. National Institute of Standards and Technology, Charleston, SC, USA, Email: debra.ellisor@nist.gov P-M-046 Lucía Olmo-García , Alberto Fernández-Gutiérrez , Alegría Carrasco-Pancorbo , University of Granada, Granada, Spain; Karin Wendt , Nikolas Kessler , Carsten Baessmann , Bruker Daltonik GmbH, Bremen, Germany; Aadil Bajoub , National School of Agriculture, Meknès, Morocco; Artem Filipenko , Bruker Scientific, Billerica, MA, USA Application of Metabolomics Methods on LC/GQ- QTOF Data to Discriminate Extra Virgin Olive Oils from Different Protected Designations of Origin The increasing popularity of extra virgin olive oil and the increas- ing problem of food fraud have provided the need for quality and authenticity control. Typical problems are mislabeling of protected designation of origin (PDO) or edible oil adultera- tion. Implementation of protected designations of origin and protected geographical indications is one of the most prominent differentiation strategies used in olive oil market. They are often perceived as valuable tools that promote specific attributes of the

oil linked to its geographical provenance. Minor compounds of extra virgin olive oil, such as phenolic and triterpenic compounds, sterols and tocopherols, are highly influenced by agro-techno- logical practices and can be used for olive oil authentication. Data acquired with LC-MS and GC-MS was processed with Bruker MetaboScape, which automatically extracts and combines isotopes, adducts and fragments belonging to the same compound into one feature. The resulting bucket table was used for statistical analysis. Non-targeted and targeted approaches were used to offer maximum coverage of the olive oil metabo- lome’s chemical space in a first step, and the possible validation of the identified markers afterwards. Statistical analysis led to a noticeable discrimination among the six evaluated PDOs. The combined use of non-targeted and targeted approaches signifi- cantly enhanced the outcome of the study. Presenter: Artem Filipenko, Bruker Scientific, Billerica, MA, USA, Email: artem.filipenko@bruker.com FOOD NUTRITION AND FOOD ALLERGENS P-M-047 Jingli Hu , Terri Christison , Jeffrey Rohrer , Thermo Fisher Scientific, Sunnyvale, CA, USA Carbohydrate Analysis of Agave Syrup Using HPAE-PAD in Dual Eluent Generation Cartridge Mode Agave syrup has gained popularity as an alternative to tradi- tional sweeteners due to its low glycemic index. The chemical composition of foods is important not only for human health but also for authenticity. One method to detect the possible adul- teration of agave syrup is by looking for changes in its major carbohydrates (fructose and glucose) and its oligosaccharide profile using high performance anions exchange chromatog- raphy with pulsed amperometric detection (HPAE-PAD). A new operating mode for HPAE-PAD systems, Dual Eluent Generation Cartridge (Dual EGC) mode, is available. This mode of opera- tion replaces the manual preparation of the sodium hydroxide/ sodium acetate eluents. This mode uses a methanesulfonic acid (MSA) EGC cartridge and a potassium hydroxide (KOH) EGC cartridge in series to generate the extremely reproducible and accurate KOH/KMSA eluent gradient needed for sepa- rating complex carbohydrates. A Dual EGC gradient method was developed for carbohydrate analysis in agave syrup. This method was used to determine inositol, sorbitol, mannitol, HMF, glucose, fructose, and sucrose. Carbohydrate profiles before and after amyloglucosidase and fructanase enzyme treat- ment were compared. Comparison with a traditional HPAE-PAD separation of agave syrup using sodium hydroxide/sodium acetate eluents showed that the Dual EGC method delivers similar resolution of agave carbohydrates, but simplifies operation (no eluent preparation) and improves the precision and accuracy. Presenter: Terri Christison, Thermo Fisher Scientific, Sunnyvale, CA, USA, Email: terri.christison@thermofisher.com

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