AOAC-03 Preliminary Program

alternatives. This session aims to rally the global leaders in regulatory agencies, industry, and academics to address the aforementioned challenges by discussing the latest technical advances, practices, and successful programs to fight against counterfeit. First, we will discuss the challenge of fight against fraud due to the globalization of supply chain by using the U.S. 2008 Heparin contamination investigation as an example. Second, we will discuss the global efforts to curb the food adulteration. Non targeted methods will be discussed and will provide a guideline for the audience. From the integrative perspectives, the programs in China and Taiwan to battle food adulteration and the new approaches adapted will be discussed. For the technical perspectives, the fingerprinting technologies to prevent raw milk adulteration will be discussed by industrial leaders. With the latest techniques and scheme battling food and drug fraud presented, the session will appeal to a broad audience including regulators, industry leaders, academic researchers, and even the general public. CO-CHAIR: Susie Dai, Texas A&M University CO-CHAIR: Michael McLaughlin, U.S. Food and Drug Administration • David Keire, U.S. Food and Drug Administration Safeguarding the Global Heparin Supply Chain: FDA Actions • Steve Holroyd, Fonterra Research & Development Centre Development of a Guideline for Use of Non-targeted Methods for Detection of Food Adulteration • MingChih Fang, U.S. Food and Drug Administration, Taiwan Informative and Analytical Approaches to Fight Food Adulteration • Hongwei Zhang, China AQSIQ (General Administration of Quality Supervision, Inspection and Quarantine) Food Authenticity: Challenges, Research Opportunities, and Perspectives in China • Lei Bao, Nestlé Novel Analytical Approaches for Countering Milk Adulteration This session is dedicated to all those who participate and present their work in the form of posters at the 130th AOAC INTERNATIONAL Annual Meeting. It is difficult to showcase all posters as oral presentations due to the volume and material content of the research involved. This is the reason that AOAC decided to nominate posters as oral poster presentations to be delivered as curtain raisers/ teasers/prelude within scientific sessions (time permitting) in the form of a short presentation. The proposed session is an effort to showcase presenters from select posters in the botanical and dietary supplements category. There will be four to five presenters who will be selected by a Oral Posters from Dietary Supplements and Botanicals

special jury panel of peers from the technical programming council (TPC) and will be invited to present their work as a full oral presentation in this session. The names of the selected presenters will be disclosed at a later date in order to include in the AOAC Final Program. This session has started a new trend in AOAC for offering an opportunity to new scientists to present their work to a diverse audience. CO-CHAIR: Amitabh Chandra, AMWAY CO-CHAIR: Michael McLaughlin, U.S. Food and Drug Administration Improved Methodologies for Performing Quantitative Collaborative Studies This session focuses on statistical methodology related to ‘best practices’, walking analysts through the issues and solutions related to validation studies. Such issues include minimum number of collaborators, incremental collaborative studies, calibration curves and others. Examples of practical methods for data analysis – First to Final Action Strategies are provided, and these strategies include using traditional collaborative studies, proficiency study data, and other experimental data to evaluate method performance. Suggestions for practical approaches to data treatment when multiple data sources are used are also provided. The practical issues involved in the statistical analysis of data from an incremental collaborative study with assessment of performance requirements for bias and precision are addressed and examples will be given. The details of this analysis indicate how a sequentially performed incremental collaborative study should be analyzed. The choice of whether to leave the data untransformed (assumed normally distributed) or log10-transformed is made based on method-expertise expectations and assessment of normal Q-Q plots. Method performance requirements are proposed and assessed for bias (recovery) and precision. Calibration of an analytical system with problems and solutions are discussed. This is exemplified by calibrations of fairly complex multivariate systems employing different calibration regimes and algorithms with an attempt to generalize and standardize the calibration optimization. CHAIR: Qian Graves, U.S. Food and Drug Administration • Sidney Sudberg, Alkemists Laboratories A Systematic Review and Meta-Analysis of Quantitative Chemical Collaborative Studies Published in J. AOAC from 2000 to 2015 Based on the logarithmic metamerpC • Paul Wehling, General Mills, Inc. Use of a Mixture Distribution Involving a Truncated Normal Distribution to Model (possibly zero-inflated) Quantitative Microbiological Study Results in the logarithmic pCmetamer • Jane Weitzel, Consultant Fit for Intended Purpose and Target Measurement Uncertainty

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September 18–21, 2016

Sheraton Hotel, Dallas, Texas