AOAC 133rd Annual Meeting - Final Program

Poster Abstracts | Monday

P-M-048 Ioannis Vrasidas , Peter Sanders , Eurofins Food, Feed & Water Testing Netherlands, Heerenveen, Netherlands Challenges in Dietary Fiber Analysis Dietary fiber is generally recognized as an essential dietary requirement for human beings. For purposes, such as label- ing and nutrition claims of food products, among others, it is a prerequisite to have access to adequate quantitative methods for dietary fiber determination. Today, a number of official meth- ods for dietary fiber determination are published and widely performed. However, it is possible that these methods may fail to correctly and accurately quantify the dietary fiber content in a food product. This may often be the case for some particular types of dietary fiber components. The scope of this presentation is to outline some of the challenges one may experience when performing dietary fiber analysis. Presenter: Ioannis Vrasidas, Eurofins Food, Feed & Water Testing Netherlands, Heerenveen, Netherlands, Email: yannisvrasidas@eurofins.com P-M-049 Minjeong Seo , Korea Research Institute of Analytical Technology, Daejeon, Republic of Korea Determination of Vitamin D in Food by LC-MS/MS Vitamin D is an essential nutrient for calcium and phosphorus to be absorbed and utilized. Vitamin D is contained in trace amounts of food, so accuracy and precision of analysis are important. Pretreatment is carried out by liquid extraction (LLE) method after saponification according to the Korea Food and Drug Administration (KFDA) standard method, and quantita- tive analysis is confirmed by liquid chromatography tandem mass spectrometry (LC-MS/MS). Validation of the analysis is performed for accuracy, precision, linearity, LOD and LOQ. And accuracy is performed by measurement to recovery using CRM. The results are acquired 96.7% for SRM 1949a and 98.7% for eggs. The precision is less than 10%, and linearity is confirmed to be more than 0.999. And LOD was 5.0 and 2.0 μg/kg for vitamin D2 and vitamin D3, respectively. The concentrations of Vitamin D in egg, cheese, yogurt, cereal, mushroom, beef, pork, and are squid are reported. The concentration range detected are from ND (not detected) to maximum of 13.4 μg/100 g. In addition, vitamin D content are studied according to exposure time and exposure site of ultraviolet rays in mushrooms. This research was supported by a grant (20180225181-00) from Ministry of Food and Drug Safety in 2018. Presenter: Minjeong Seo, Korea Research Institute of Analytical Technology, Daejeon, Republic of Korea, Email: seomj3770@daum.net

P-M-050 Ashley Beasley Green , Melissa Phillips , David Bunk , U.S. National Institute of Standards and Technology, Gaithersburg, MD, USA An Interlaboratory Study to Evaluate the Equivalence of Milk Protein Allergen Measurement An interlaboratory study is planned by NIST to evaluate the equivalence of milk protein allergen measurements. The study will include participation from the manufacturers of milk protein ELISA kits, routine testing labs that utilize ELISAs, and users of liquid chromatography-tandem mass spectrometry (LC-MS/ MS) for milk protein measurement. The study will utilize simple samples prepared from commercial non-fat dry milk (NFDM), chosen to minimize the influence of sample extraction and sample matrix on between-method measurement quiva- lence. Planned samples include solutions of NFDM, heat-treated NFDM, irradiated NFDM, and NFDM spiked with both casein and whey proteins. These samples have been prepared at NIST and are being evaluated by NIST for fitness for the study. The evaluation includes both ELISA characterization and LC-MS/ MS measurements as well as stability and homogeneity assessment. The main goals of the study are to evaluate the equivalence of routine measurement procedures for milk aller- gen protein quantification of simple samples and to establish the framework for future interlaboratory studies with more complex samples, a framework that includes robust means of evaluating, comparing, and reporting data from both ELISA and LC-MS/ MS based methods. The study design as well as results from the evaluation of the study samples will be presented for review and discussion. Presenter: David Bunk, U.S. National Institute of Standards and Technology, Gaithersburg, MD, USA, Email: david.bunk@nist.gov P-M-051 Girdhari Sharma , Marion Pereira , Kristina Williams , U.S. Food and Drug Administration, Laurel, MD, USA; Shizhen Wang , Stuart Chirtel , Travis Canida , U.S. Food and Drug Administration, College Park, MD, USA; Thomas Whitaker , North Carolina State University, Raleigh, NC, USA; Paul Wehling , Medallion Laboratories/General Mills, Minneapolis, MN, USA; Mark Arlinghaus , General Mills, Minneapolis, MN, USA; Lauren Jackson , U.S. Food and Drug Administration, Bedford Park, IL, USA Development of Probability-Based Sampling Plan for Gluten Estimation in Oats The sporadic distribution of gluten-containing grains in oats may lead to false-negative or false-positive results if the sampling plan does not optimize the buyer’s and seller’s risk, respec- tively. The variances in gluten test procedure from sampling, sample preparation and analytical method were estimated using a balanced nested experimental design in 16 samples of oat groats taken from each of 10 mini-lots containing 0.56- 195.29 ppm mean gluten. The negative binomial distribution more closely resembled the observed gluten distribution among sample test results from each lot than the normal and log-normal theoretical distributions. From the variance estimates and the

48 SEPTEMBER 6–12, 2019 SHERATON DENVER DOWNTOWN HOTEL