2017 NACRW Short Course
Sunday, July 23, 2017
8:00 a.m. to 4:00 p.m.
Tuition Fee: $250
"Efficient Start-to-Finish Analysis of Chemical Residues"
Instructor: Steven Lehotay, PhD, Lead Scientist, USDA, Wyndmoor PA
This 1-day educational event offers the chance for participants to learn about efficient high-quality and high-throughput analysis of different types chemical contaminants in any type of food, which are also applicable to other sample types. Analytes include pesticides, veterinary drugs, persistent organic pollutants, emerging and other contaminants. Just as a chain is only as strong as its weakest link, all aspects to the analytical process must be optimized and streamlined. Thus, efficient and effective ways to conduct sample processing (comminution), sample preparation (extraction and cleanup), analysis (separation and detection), and data handling (peak integration, quantification, and identification) will be described and discussed. A validated, automated approach to monitor hundreds of pesticides and environmental contaminants in foods by rapid, robust, and reliable GC- and LC- MS/MS techniques while avoiding human data review will be presented.
Agenda – a chronological list of the key sections of the course
1) Introduction and Background: purposes for analysis, data quality objectives, and validation
2) Sample Processing: theory and practice to quickly obtain minimal but representative sample test portions for analysis
3) Sample preparation: theory and practice of different extraction and cleanup methods, including automation, to achieve high and consistent recoveries of a wide scope of analytes (or narrow scope depending on the application) while minimizing direct and indirect interferences and matrix effects from sample components
4) Analysis: high-throughput methods less than 10 min each in gas and liquid chromatography coupled to modern mass spectrometric techniques for the detection of hundreds of analytes in complex matrices, or specialized contaminant applications such as nitrosamines or acrylamide
5) Data handling: how to automatically integrate chromatographic peaks with reliable quantification and identification of analytes at trace levels in complex matrices without human review or manual re-integrations
Learning Outcomes – what are the key educational benefits of the course
With the appropriate instruments, the participant should be able to implement the approaches in their labs and applications described after taking this course. They will learn how to conduct high-throughput lab operations to obtain high-quality results in food monitoring applications.
Who should take the course
Analysts, scientists, researchers, and managers who want to learn about highly useful and efficient ways to monitor contaminants in food and the environment, particularly for field trials, trade, and regulatory purposes. A basic understanding of analytical chemistry, chromatography, mass spectrometry are expected.