Abstract Topics and descriptions
1. Pesticides: Method Improvements, Deficiencies and Expansions
Pesticide residue analysis, difficult analytes and matrices, single and multiresidue methods, method validations, etc.
2. Toxins in Agriculture and Food Safety
Marine toxins, mycotoxins, and plant toxins can contaminate a wide range of agricultural commodities and foods. The diversity of these toxins poses a great challenge for controlling toxin contamination in food supply chains. Current toxin research including health impact, dietary exposure, risk assessment, toxicological effects, analytical methods, and detoxification technologies has provided valuable information to minimize their impact on the environment and food safety.
3. Advanced Analytical Techniques for Chemical Residues and Contaminants Analysis
Non targeted analysis, machine learning for retention time predication and concentration prediction, semi-quantitative non-target analysis, compound database, MS library for non-target analysis, and any advanced analytical techniques for risk identification.
4. Non-Pesticide Residues
Residue analysis for analytes not covered in other sessions: vet drugs, persistent organic contaminants, metals, nanomaterials; antibiotic analysis.
5. PFAS contamination: looking beyond environmental matrices
From mainstream movies (Dark Waters) elevating them into public consciousness, to parts-per-quadrillion entering into our scientific lexicon through the EPA health advisory limits, per- and polyfluoroalkyl substances (PFAS) are everywhere. Supporting our growing knowledge of PFAS is a plethora of amazing analytical chemistry covering all phases of the PFAS lifecycle. This session aims to highlight some of this exception science, with an emphasis on quantifying and identifying PFAS in matrices beyond drinking water.
6. Sampling: Collection, Preparation, and Statistics
Sampling and sampling theory, sample processing, and sample prep.
7. Validations, Certifications and Regulatory Issues
Single- and multi-laboratory validation studies; use of RMs and incurred residue samples for method development/validation/proficiency testing; risk assessment; FSMA and other regulatory issues.
8. Residue Analysis in Difficult Matrices
Matrix effect is defined as the influence of one or more endogenous compounds co-extracted from the sample on the quantitation of an analyte. One of the major challenges with multi-residue testing is the diversity of challenging matrices, each with a unique chemical profile that may interfere with the target analytes of interest. Some examples of difficult matrices include aquaculture products, natural products and dietary supplements, cannabis, food and biosolids. This session aims to highlight instrumentation and analytical techniques that have been developed to minimize or eliminate matrix effects in difficult matrices.