Chromatograph Mass Spectrometer Dwell Time Calculation
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Solution Overview
Problem
Setting appropriate dwell times for a large number of events in chromatograph mass spectrometers is time-consuming and labor-intensive, making it difficult to achieve reliable quantitative determinations, especially in simultaneous multicomponent analyses.
Innovation Solution
A chromatograph mass spectrometer with an event setter, loop-time target setter, dwell time calculator, and result displayer that allows analysis operators to set and calculate dwell times automatically based on target loop times and overlapping events, reducing the workload and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual setting of dwell times for each event is performed, then analysis accuracy can be optimized, but the time and labor required increases significantly
Solution Approach 1:
The system performs automatic dwell time calculation based on event information and loop time settings, eliminating the need for manual operator input. The calculation unit automatically computes optimal dwell times by processing the relationship between event measurement times and loop time cycles, allowing the system to serve itself rather than requiring continuous operator intervention
Solution Approach 2:
The system pre-calculates dwell times by analyzing the temporal relationships between multiple events and loop time cycles before actual analysis begins. By determining optimal dwell times in advance based on event scheduling and loop time constraints, the system prepares all necessary parameters beforehand, avoiding time-consuming adjustments during operation
2Adaptability or versatility
If the number of events is increased for multicomponent analysis, then analysis coverage is improved, but the complexity of dwell time setting increases
Solution Approach 1:
The automatic calculation unit processes all event information and loop time settings to generate dwell times without operator intervention. The system independently manages the complexity of coordinating multiple events by automatically computing the temporal relationships and determining optimal dwell times for each event based on the overall scheduling constraints
Solution Approach 2:
The system divides the complex task of dwell time setting into manageable components: event information input, loop time setting, automatic calculation processing, and result output. By segmenting the workflow into distinct functional units, the system handles multicomponent analysis complexity through structured processing rather than requiring operators to manage all parameters simultaneously
3Measurement precision
If dwell time is extended to improve detection sensitivity, then measurement precision improves, but the loop time increases reducing productivity
Solution Approach 1:
The system dynamically adjusts dwell time parameters based on the specific requirements of each event and the overall loop time constraints. By optimizing the dwell time parameter for each individual event rather than using a fixed value, the system achieves adequate detection sensitivity for all events while maintaining efficient loop cycling and overall analysis throughput
Solution Approach 2:
The system applies different dwell time values to different events based on their specific characteristics and timing requirements. Rather than using a uniform dwell time for all events, the calculation unit determines locally optimized dwell times for each event, allowing high sensitivity where needed while maintaining fast cycling where possible, thus balancing precision and productivity across the entire analysis
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This configuration significantly reduces the time and labor required for setting dwell times, ensuring high efficiency and accuracy in quantitative determinations, even for compounds with low content, by automatically calculating and displaying dwell times for each event, thus enhancing peak detection and reliability.
Implementation Method 1
a front quadrupole mass filter for selecting an ion having a specific mass-to-charge ratio among the ions derived from the compounds
Implementation Method 2
this ion is then fragmented in a collision cell by a collision-induced dissociation process
Data Source
AI summary
When setting analysis conditions, an analysis operator sets, on a dwell-time calculation/loop-time listing window, the target value of a loop time corresponding to the measurement-time interval to repeat an analysis for one ion, and clicks a dwell time calculation button. Then, a dwell time calculator computes the dwell time for each event, based on the target value of the loop time, the arrangement of events set at that point in time, the number of target ion species set in each event, and other conditional factors. The calculated result is displayed in a dwell time calculation result display field in a listing table. The largest and smallest values of the dwell time are displayed in the largest/smallest dwell time display field. The analysis operator checks this display and changes the target value of the loop time and/or the measurement time of the event so as to achieve an appropriate dwell time.