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Cloud-based analysis of complex sample systems for outlier and trend analysis in the context of water monitoring

Orbitrap_SciLib
Reputable Mentor II
Reputable Mentor II
Tautenhahn R, Comte R, Stratton T, Kailasam S, Ghosh D, Singer H.
ASMS 2016 Poster
Many analytical challenges attempt to answer a common set of questions – what has or is changing in my system? Is this new sample like the previous ones? These are often asked in specific contexts such as authenticity of a food product or the change in the profile of contamination in water year over year due to new emerging contaminants. Here we introduce a cloud-based system which enables these kinds of problem solving analyses. It consists of a means of processing these potentially large datasets, creation of a representative profile database of components, and hypothesis testing tools to detect differences and trends within the data.


Thermo Fisher Scientific and Eawag
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Last update:
‎11-09-2021 01:28 AM
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