Is Unknowns analysis terribly slow for anyone else?

Hello agent47 ,

Could you tell us more about the type of data you are looking at? Is this unit mass or accurate mass data? How long are your runs, how many data files are you processing in a UA file, and how many components do you expect to find in each run? 

It is GCMS untargeted metabolomics experiments most the times. Often ranging from 20-200 samples spread over batches. It would be accurate mass data. Even only analysing 5 files or a subset of large dataset doesn't make the process any faster. We have significant computing power, with 256GB+ RAM with i9 processors at 4k GHz speeds with turbos.

agent47 ,

For Unknowns Analysis processing of accurate mass GC-QTOF data we would recommend using centroid data, if at all possible, and using SureMass for Peak Detection. You can convert the data to SureMass format from the Tools->Convert Accurate Mass Samples menu. This will take some time, depending on the size of the data files, but data processing speed should be greatly increased. Also, on the Deconvolution tab make certain to disable Use integer m/z values. 

agent47 ,

For Unknowns Analysis processing of accurate mass GC-QTOF data we would recommend using centroid data, if at all possible, and using SureMass for Peak Detection. You can convert the data to SureMass format from the Tools->Convert Accurate Mass Samples menu. This will take some time, depending on the size of the data files, but data processing speed should be greatly increased. Also, on the Deconvolution tab make certain to disable Use integer m/z values.