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September 18–21, 2016
Sheraton Hotel, Dallas, Texas
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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
Oral Posters from Dietary Supplements and
Botanicals
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
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