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Multivariate statistical approaches to link chemical signals to effects
EDA and related approaches to identify toxicants causing measurable effects are of increasing relevance for environmental monitoring and identification of River Basin Specific Pollutants. Multivariate statistics are gaining importance in the context of classical High Tier EDA protocols as well as in the so-called “virtual EDA”, where multivariate statistics are used as a kind of “virtual fractionation” to isolate chromatographic peaks that co-vary with effects in bioassays. For the latter non-target screening data can potentially be used together with effect-based monitoring for large amounts of samples obtained in screening surveys. The routine application of these approaches needs extensive exchange of experience and methods.
This workshop is a dual purpose event. On the first day we will discuss with invited experts in the field of multivariate statistics and chemometrics as well as from non-target screening and effect-based screening, the opportunities and pitfalls for virtual EDA. The presenters will use a common dataset to demonstrate their own workflows. The goal will be the drafting of a first guidance paper in this field under the NORMAN umbrella.
On the second day, the meeting of the NORMAN Working Group 3 on Effect-Directed Analysis for hazardous pollutants identification will take place.
The workshop is free of charge. Refreshments during the coffee breaks will be provided by UFZ. The lunch and the common dinner in the evening will be paid by the attendees.
Deadline for registration is 1 December 2016.
Please register through the website: http://www.ufz.de/