Hello,
I am currently working on GC-MSD data analysis using the Agilent Profinder software and would greatly appreciate any advice or tips you might have for improving my post-processing workflow.
To provide some context, I have attached images showcasing the parameters I've selected for my analysis. However, I am facing challenges related to memory and processor limitations on my computer. As a workaround, I am considering working on small batches of samples and then merging the datasets later.
Here are my specific questions:
-
Post-Processing Optimization:
- Are there specific parameters I should adjust to increase the number of peaks generated in the final analysis?
- Are there settings or strategies within Agilent Profinder that you recommend for optimizing post-processing efficiency?
-
Working with Small Batches:
- Due to memory and processor constraints, I am contemplating analyzing small batches of samples separately. Is this a viable approach?
- If so, what would be the best way to merge the datasets later while ensuring data integrity and accuracy?
Thank you in advance for your valuable assistance!
