AOAC 133rd Annual Meeting - Final Program

Poster Abstracts | Monday

answers on questions associated with origin, adulteration and correct labeling of food and beverage products. An overview of the interpretation of isotope fingerprints and the official methods using isotope fingerprints for food and beverage analysis are also provided. Presenter: Magda Mandic, Thermo Fisher Scientific, Bremen, Germany, Email: magda.mandic@thermofisher.com P-M-041 Steve Garrett , Campden BRI, Chipping Campden, United Kingdom; Jani Holopainen , Thermo Fisher Scientific, Vantaa, Finland; Sam Watts , Nicole Prentice , Thermo Fisher Scientific, Basingstoke, United Kingdom Application of Next-Generation Sequencing to Food Authenticity Testing: Study of Adulterated Beef Samples Using the Ion GeneStudio TM S5 Food Protection System Following the UK/EU Horse-meat issues of 2013, where a significant amount of horse DNA was found in a number of processed beef products there has been an increased need for routine non-targeted species detection methods. In recent years Next-Generation Sequencing (NGS) has been promoted as a useful technique to identify species present in samples containing a mixture of species. Very few studies have looked into application of processed meat products where DNA can be highly degraded. This study applies a commercial NGS system to a range of spiked meat product samples processed to industry standard conditions. The samples consisted of lean beef spiked with varying levels of pork and horse muscle was used to prepare raw, burger, canned meat, and cottage pie sample types. Multiple DNA extracts were prepared from each sample type and NGS was performed using SGS TM All Species Meat Analysis kit in conjunction with Ion Chef TM Food Protection Instrument and Ion GeneStudio TM S5 Food Protection System. Results will be presented and relevance to food screening will be discussed. Presenter: SamWatts, Thermo Fisher Scientific, Basingstoke, United Kingdom, Email: sam.watts@thermofisher.com P-M-042 Kevin Kubachka , Madhavi Mantha , John Urban , Lisa Kaine , Jana Brueggemeyer , Reagan Patton , U.S. Food and Drug Administration, Cincinnati, OH, USA Detection of Adulteration in Maple Syrup by Carbon Stable Isotope Ratio Analysis Maple syrup, due to its relatively simple chemical composition as well as its relatively high cost, is a potential target for econom- ically motivated adulteration (EMA). Maple syrup can be adulterated with low cost sweeteners. Conclusively proving adul- teration can be difficult as added adulterants can be selected to match the native sugar composition, while other adulterants can be added to mimic the flavor, color, etc. Stable carbon isotope ratio analysis is one of the more definitive analyses for detecting maple syrup adulteration with low cost syrups. Because maple trees use a C3 based photosynthetic pathway, while corn and cane sugar plants follow C4 photosynthetic pathway, addition of such sugars can be readily detected based on the shift in δ 13 C values. Based on reported δ 13 C values for maple syrup and those of potential adulterants, the minimum percentage of adulteration

that can be detected from added C4 sources are ~10%. Using malic acid as an internal standard has been shown to lower the detection limits by a factor of two (Tremblay, 2007). However, the malic acid isolation procedures in the literature are relatively lengthy processes, which are not suitable for routine regulatory analysis. Alternative methods of isolating malic acid have been explored including precipitation modifications, ion exchange methods, and solid phase extraction. Both Cavity Ring-Down Spectroscopy and Isotope Ratio Mass Spectrometer are being evaluated for analysis. Presenter: Kevin Kubachka, U.S. Food and Drug Administration, Cincinnati, OH, USA, Email: kevin.kubachka@fda.hhs.gov P-M-043 Ramin Jahromi , Danielle Pringle , Lars Reimann , Wenjuan Jobjen , Eurofins, Des Moines, IA, USA; David Hammond , Eurofins, London, United Kingdom Fingerprinting Fruits Using Targeted and Non-Targeted Analyses, Authentication Tool for Minneola Tangelo As hybrid fruits use increase research is needed to obtain data that can be used for identification, fraud, and adultera- tion investigations. Screening, using RP-HPLC, for a range of Coumarins and Psoralens have been shown to be useful to differentiate between lemon and lime and its extension of this technique to the differentiation of lemons from Meyer lemons. As tangelo has become more popular it would be susceptible to fraud and adulteration. This poster shows the phenolic pattern of this hybrid fruit that may be used to identify its juice or juice concentrate. Presenter: Ramin Jahromi, Eurofins, Des Moines, IA, USA, Email: raminjahromi@eurofinsus.com P-M-044 Christopher Thompson , Quanyin Gao , Herbalife Manufacturing, LLC, Lake Forest, CA, USA; Peter Chang , Gary Swanson , Herbalife Nutrition, Torrance, CA, USA Microbiome Profiling of Milk and Whey Proteins by 16S Metagenomics Protein Powder Identification presents a challenge in qual- ity control. There is currently deliberation of the specificity of methods for the identification of milk proteins, and the consensus identification method of whey protein from the USP-FCC relies on a combined analysis of the testing of ash, fat, lactose, loss on drying, and protein. Milk and whey proteins both contain signif- icant background DNA content. Milk and whey proteins retain cow DNA, but also retain bacterial DNA. DNA from the natural flora of the cow, the dairy processing plant, and in the case of whey protein, the cheesemaking procedure remain post-process- ing. By utilizing 16S Metagenomics, the retained bacterial DNA in protein powders can be sequenced and cross-referenced to a curated library and ultimately create a microbiome profile of these raw materials. This profile can be measured for both alpha and beta diversity, specifically how many and which species of bacteria are present. The microbiome profile of milk and whey proteins differ significantly. In this study, we demonstrate that the microbiome profile of processed cow proteins can be used for raw material identification. Using 16S Metagenomics, we measure alpha and beta diversity of the microbiome profile of

46 SEPTEMBER 6–12, 2019 SHERATON DENVER DOWNTOWN HOTEL