Collision Cell Transition Observation Time Optimization
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Solution Overview
Problem
In tandem-type mass analysis apparatuses with storage-ejection type collision cells, there is no correlation between transition observation time and storage-ejection time, leading to wasteful idle time and suboptimal sensitivity during sample measurement.
Innovation Solution
A mass analysis apparatus that computes and optimizes the actual transition observation time as an integer multiple of the storage-ejection time, allowing the collision cell to perform the storing-ejecting operation the maximum number of times within the designated transition observation time, thereby improving measurement efficiency and reducing idle time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the transition observation time is designated independently from the storage-ejection time, then the user can flexibly set measurement parameters, but wasteful idle time occurs during sample measurement
Solution Approach 1:
The invention dynamically adjusts the transition observation time parameter based on the storage-ejection time parameter. The computation unit calculates the transition observation time as an integer multiple of the storage-ejection time, ensuring that both parameters are coordinated to eliminate idle time while maintaining measurement flexibility through programmable adjustments.
2Ease of operation
If the transition observation time is not correlated with the storage-ejection time, then the operation conditions can be set independently, but high sensitivity cannot be achieved under certain conditions
Solution Approach 1:
The invention implements a feedback mechanism where the computation unit continuously monitors the storage-ejection time and adjusts the transition observation time accordingly. This ensures that the transition observation time remains optimally correlated with the storage-ejection time to maximize sensitivity, while the controller maintains ease of operation through automated parameter coordination.
3Productivity
If the collision cell executes storing and ejecting operations periodically, then measurement efficiency can be improved, but the transition observation time and storage-ejection time become uncoupled
Solution Approach 1:
The computation unit automatically calculates and sets the transition observation time based on the storage-ejection time without requiring manual intervention to establish the correlation. The system self-adjusts the parameter relationship to eliminate idle time and optimize sensitivity, maintaining measurement efficiency while reducing the operational complexity of parameter coordination.
Data Source
Figure 1
Figure 2(A)~2(C)
Figure 3(A)~3(E)
AI summary
When a first scheme (transition observation time optimization scheme) is selected, a computation unit (50) computes an actual transition observation time as a time of an integer multiple of a storage-ejection time of a collision cell (20) within a frame of a transition observation time. When a second scheme (storage-ejection time optimization scheme) is selected, the computation unit (50) divides the transition observation time by a maximum storage-ejection time to determine a number of repetitions of a storing-ejecting operation of the collision cell (20), and determines a storage-ejection time based thereon.