Improve the performance of your Proteomics LC-MS facility with Quic
contributed by Biognosys |
Features
- An active queue of per-run QC analyses that supports real-time folder monitoring
- A multitude of readouts for main proteomics workflows based on iRT peptides
- For discovery proteomics workflows DIA and DDA a background library can be specified and additionally targeted to better QC the samples and sample processing
- Proper handling of corrupted files and duplicate run checking
- Intuitive visualization and customizable reporting for documentation
- Supports multiple instrument vendors
Introduction
Over the last few years, mass spectrometry based proteomics has evolved into an extremely powerful enterprise. In discovery proteomics, using data dependent acquisition (DDA) or data independent acquisition (DIA), thousands of peptides and proteins can be identified in a single measurement.
In a different arena, targeted proteomics methods such as multiple or selected reaction monitoring (SRM/ MRM) and parallel reaction monitoring (PRM) are widely used to quantify a few proteins very accurately over a very large sample cohort. Both discovery and targeted workflows rely on the performance of the entire liquid chromatography (LC)-mass spectrometer (MS) performance.
Thus, LC-MS performance has to be closely monitored to ensure high data quality and that the statistical analysis is delivering confident results about biological processes and not instrument performance.
The process of ensuring high data quality through monitoring of the LC-MS performance is called quality control (QC). Apart from ensuring high data quality, QC analysis further helps to increase the instrument up time in a facility between different experiments and is as such crucial to increase the economic aspect of mass spectrometry based analysis.
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