AOAC 133rd Annual Meeting - Final Program

Poster Abstracts | Monday

median fluorescent intensity (MFI) than pre-ground chilis. The cross-reactivities of the chili peppers was easily distinguished from the target analytes using the various built-in confirmatory analyses. Besides reducing cost and increasing throughput, the xMAP ® FADA provided detection, identification, and characteri- zation not possible using ELISA technology. Presenter: Katherine Ivens, U.S. Food and Drug Administration, College Park, MD, USA, Email: katherine.ivens@fda.hhs.gov P-M-071 Kai Liu , Eurofins, Des Moines, IA, USA A Sensitive and Selective Method for the Quantitation of Six Common Sugars in Various Matrices Using Liquid Chromatography with Mass Detection A convenient and sensitive analytical method for galac- tose, glucose, fructose, sucrose, lactose, and maltose is presented. Extraction of the sugars uses a mixture of alcohol/ water at elevated temperatures. All six sugars are well-resolved on the LC column and the subsequent mass detection allows for selective quantitation of each sugar with a limit of detection (LOQ) at 0.005%. Quantitation is not affected by the presence of sugar alcohols and most other mono- and disaccharides. This method has completed a single-laboratory validation on infant formula, infant food, beverages, multi-component food, diary product, as well as pet food. Presenter: Kai Liu, Eurofins, Des Moines, IA, USA, Email: KaiLiu@eurofinsus.com P-M-072 Shyamali Jayasena , Joseph Baumert , Melanie Downs , University of Nebraska, Lincoln, NE, USA; James Pause , Sally Klinect , Nestlé, Solon, OH, USA; Heidi Hau , Ecolab, Inc., Eagan, MN, USA Development of a High-Resolution Mass Spectrometry Method for the Detection of Milk Allergens in Alkaline Clean-in Place (CIP) Solutions There are environmental and economic benefits in reusing clean-in-place (CIP) solutions. Yet, risks of allergen cross-contact from CIP reuse practices are unknown. The highly basic nature of alkaline CIP solutions prevents the use of immunochemical methods for allergen detection. The objective of this study was to develop a mass spectrometry (MS) method for the detection of milk proteins in alkaline CIP solutions. Nonfat dry milk (NFDM) was spiked into water and alkaline CIP solutions and heated at 85°C for 0, 15, 30, 60, 120, and 360 min. Buffer exchange was performed on these solutions (with 3 kDa centrifugal units), and retained proteins were digested and analyzed using non-tar- geted MS. Following analysis by discovery proteomics, the performance of selected peptides were evaluated in a targeted method. Quantification of milk proteins in spiked solutions were performed using synthetic heavy labelled peptides. Discovery proteomics performed on water spiked with NFDM at 20°C identified 18 peptides from seven proteins as preliminary targets. At 20°C, 16 of these peptides had similar recoveries in water and alkaline solutions spiked with NFDM. Alkaline solutions heated to 85°C for 1 h had a significant reduction in signal, with only eight peptides detected. Further evaluation identified new peptide targets stable in heated alkaline solutions. The MS

method was optimized using these stable target peptides to detect and quantify 10 ppm NFDM in an alkaline CIP solution. Presenter: Shyamali Jayasena, University of Nebraska, Lincoln, NE, USA, Email: sjayasena2@unl.edu P-M-073 Radhika Jain , Sangeeta Goomer , University of Delhi, Delhi, India Determination of Limiting Amino Acid Content in Developed Novel Product Using HPTLC Plant based food is deficient in one or two essential amino acids which hampers the absorption of all essential amino acids as well as de novo synthesis of non-essential amino acids. The present research aims to develop a novel plant based product which is rich in protein quality i.e., provides all 08 essential amino acids using extrusion technology. The amino acids of the developed chunks were analysed using HPTLC technique. Extrusion technology is environment friendly as there is no hazardous waste generated at the end of the process which needs to be disposed off. The product developed is ready-to-eat i.e., snack type, which can be easily consumed providing high protein quality. Presenter: Radhika Jain, University of Delhi, Delhi, India, Email: rjain09@yahoo.com P-M-074 Andrew Ruosch , Ryan Seeberger , Scott Wejrowski , David Ellingson , Eurofins, Madison, WI, USA Sugar Profile Method by High Performance Anion Exchange Chromatography with Pulsed Amperometric Detection in Food, Dietary Supplements, Pet Food and Animal Feed: AOAC First Action 2018.16 There is a need for a method that can analyze for the common mono and disaccharides in human food, pet food, and animal feed. There was not a compendia method that had such a large scope of coverage. This requires a method that can overcome the common issues seen with the methods available today that can have interferences or issues with precision and accu- racy when applying them to other matrices. The intent of this work was to develop and validate a method that can meet the Standard Method Performance Requirements (SMPR 2018.001) outlined by the AOAC Stakeholder Panel on Strategic Food Analytical Methods (SPSFAM). This work describes an optimized High Performance Anion Exchange with Pulsed Amperometric Detection method for the analysis of nutritionally relevant sugar compounds that includes galactose, glucose, fructose, sucrose, isomaltulose, lactose, and maltose. This method was developed to provide coverage across a variety of different matrices. A global multi lab validation was conducted to validate the method and compare against the SMPR requirements. The method and data from the global multi lab validation was reviewed by the SPSFAM Expert Review Panel (ERP) and was granted AOAC First Action Official Method 2018.16. This poster includes a summary of this validation along with some work completed on further improve- ments made for internal standard selection, elution modification for strongly bound compounds, and options for automation. Presenter: Andrew Ruosch, Eurofins, Madison, WI, USA, Email: andrewruosch@eurofinsus.com

54 SEPTEMBER 6–12, 2019 SHERATON DENVER DOWNTOWN HOTEL