The need for method validation in terms of experimental design, data analysis, performance evaluation and competence determination is increasing with the growing number of available methods for qualitative analyses.

To train microbiologists, food safety professionals and scientists in testing laboratories, industrial and research institutions, and regulatory agencies, QuoData along with the US Food and Drug Administration (FDA), and Institute for Food Safety and Health (IIT Chicago); have developed a three-day course on validation of qualitative microbiological methods.

If you would like to deepen your knowledge in the field of analytical quality assurance, you can do so at QuoData’s upcoming workshop on interlaboratory studies:

Workshop for the evaluation of proficiency tests and method validation studies with PROLab

QuoData regularly attends events of the scientific community all over the world to present novel approaches for analytical quality assurance and establish further contacts.

132nd AOAC Annual Meeting & Exposition: 26 - 29 August 2018

At this meeting in Toronto, Canada, leading scientists met to discuss a variety of analytical requirements and new standards in the field of quality assurance. The CEOs of QuoData were also present.

In August and September QuoData will participate in two events.

There QuoData's Data Scientists will present new solutions for analytical quality assurance, in particular for interlaboratory tests and method validation studies, which are based on tailored mathematical-statistical approaches and powerful web tools.

Fourteen participants deepened their understanding of interlaboratory studies during the workshop from 13 - 15 June 2018 held in Dresden.

This international Round Robin Test provided participants with information on their performance in emission tests according to the GEV Testing Method. This is used to determine volatile organic compounds for the characterisation of emission-controlled substances (e.g. adhesives, building products, mineral soils). In addition, the study allows a statement on the variability of the test results when using the GEV Testing Method in different testing laboratories.