Parallel Pseudo-MRM on the "brick" miniature mass spectrometer for high throughput multi-target screening.
Hongjia Zhang1, Heyuan Jia2, Zhiwu Gao1
1School of Life Science, Beijing Institute of Technology, Beijing, 100081, China.
Miniature mass spectrometers now offer parallel pseudo-multiple reaction monitoring (pseudo-MRM) for faster multi-target screening. This new mode significantly boosts throughput for in-situ analysis, improving drug screening and quantification.
Area of Science:
- Analytical Chemistry
- Mass Spectrometry
- Instrumentation
Background:
- Miniature mass spectrometers are increasingly used in various applications, requiring high-throughput multi-target analysis capabilities.
- Traditional multiple reaction monitoring (MRM) is performed on triple quadrupole (QQQ) instruments, while pseudo-MRM on ion traps has limitations in throughput due to tandem-in-time operation.
Purpose of the Study:
- To enhance the performance of miniature mass spectrometers for in-situ applications.
- To develop a parallel pseudo-multiple reaction monitoring (pseudo-MRM) mode to increase throughput for multi-target screening.
Main Methods:
- Developed a parallel pseudo-MRM mode for a miniature mass spectrometer with an ion trap.
- Segmented the mass range of interest based on optimized Mathieu q values to improve isolation and collision-induced dissociation (CID) efficiencies.
- Demonstrated fast screening of 10 different drugs and verified parallel quantitative analysis using internal standards.
Main Results:
- The parallel pseudo-MRM mode increased throughput by up to 10 times compared to previous methods.
- Achieved efficient isolation and CID for targeted ions within segmented mass ranges.
- Successfully demonstrated rapid drug screening and validated quantitative analysis.
Conclusions:
- The developed parallel pseudo-MRM mode significantly enhances the throughput of miniature mass spectrometers for multi-target analysis.
- This advancement is crucial for in-situ applications requiring rapid screening and quantification.
- The method shows promise for applications such as drug testing and environmental monitoring.
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