Welcome everyone
I'm Markus
and I look forward to share with you some exciting new DryLab® features.
DryLab has a powerful AQbD Workflow —
it's established in the industry
because it really lets you own your analytical procedure.
However, what really brings Design Space Modeling to the next level
Is the connection of DryLab and Empower™ and the surrounding instrumentation.
It automates modeling with seamless data connections on all levels of the workflow
and what it boils down to is an ease of use that lets you not only develop Design Spaces
but also evaluate them on an everyday basis.
I'd like to show you how the DryLab Empower™ connection brings about orthogonal peak
tracking capabilities and something that we call Multi Attribute MODR Modeling.
If you run DryLab Empower™ in an environment with a QDa™ or an SQ Detector you will have 4
powerful features at hand for a facilitated Peak Tracking that wouldn't be available otherwise.
Base Peak Values are displayed as orthogonal means of peak identification.
Selected Ion Monitoring chromatograms can be blended
into UV chromatograms for better orientation.
Here, in the high temperature runs, Peak #8 shows different masses than in the low temperature runs.
«Selected Ion Monitoring» is called up for Mass 309 which shows that it appears under
different peaks in high temperature runs, telling us that our current peak alignment is incorrect.
Likewise «Selected Ion Monitoring», «Mass Spectra» can be called up to verify correct peak alignment.
In the current case, base peak values for Peak #7 are inconsistent. So the mass spectrum for Peak #7
in Run #1 is called up and shows that mass 217 appears too in Run #1
but an impurity underneath the peak has a higher ionization.
In runs 2 to 4, Mass 217 appears as base peak values in the table
because there the impurity isn't co-eluting with Peak #7.
«Track by Masses» is a powerful feature:
Here, DryLab uses both UV and mass data to perform an automated tracking of peaks.
In the current case of a separation of genotoxic impurities the peak tracking is incomplete.
By clicking on «Track by Masses» additional mass data is acquired from Empower™
and peaks are tracked intelligently and co-elutions are recognized.
A second, very helpful advantage of the DryLab Empower™ Connection that I wanted to mention
lies in the opportunity of acquiring additional peak information
from Empower's™ System Suitability Option to be used for further Design Space Modeling.
Critical Method Attributes such as resolution,
designated peak retention times and shapes such as USP Tailing and width
can be specified to meet system suitability requirements.
In this example starting from an MODR with baseline separation requirements,
a second method-specific goal was set for Peak #3 to elute no later than at 2.5 minutes.
At the new setpoint, both requirements are met.
Critical method parameters can now be identified using DryLab's in-silico Robustness Assessment.