Electrophoresis-Correlative Mass Spectrometry for MS Duty Cycle Limits
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Solution Overview
Problem
Current mass spectrometers are limited by their duty cycle, which restricts the number of tandem MS analyses that can be performed, leading to challenges in detecting and quantifying a wide range of molecules efficiently.
Innovation Solution
Implementing electrophoresis-correlative mass spectrometry (Eco-MS) that leverages capillary electrophoresis (CE) to predict m/z-dependent separation, enhancing the utilization of the mass spectrometer's duty cycle through intelligent data acquisition methods like DDA, DIA, and targeted analyses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional liquid chromatography (LC) is used for molecular separation, then molecules can be separated based on hydrophobic/hydrophilic characteristics, but the separation efficiency and depth of molecular coverage are limited due to the duty cycle constraints of mass spectrometers
Solution Approach 1:
The patent changes the separation parameter from hydrophobicity (LC) to electrophoretic mobility (CE), which depends on size, charge, and hydration shell. This parameter change enables better correlation with m/z values and improves duty cycle utilization, allowing deeper molecular coverage within the same measurement time
Solution Approach 2:
The system performs preliminary computational prediction of m/z values and separation times before the actual mass spectrometry measurement. This preliminary action allows the mass spectrometer to be pre-configured with targeted m/z ranges and acquisition parameters, optimizing duty cycle utilization and enabling deeper molecular coverage
2Productivity
If the mass spectrometer operates at high speed to increase throughput, then more molecules can be analyzed per unit time, but the duty cycle limitation restricts the number of tandem MS analyses that can be performed
Solution Approach 1:
The system performs preliminary computational prediction of m/z values and separation times before the actual mass spectrometry measurement. This allows the mass spectrometer to be pre-configured with targeted m/z ranges, reducing idle time and maximizing the number of productive tandem MS analyses within the duty cycle
Solution Approach 2:
The system uses feedback from the predicted m/z values and separation times to dynamically adjust the mass spectrometer acquisition parameters in real-time. This feedback mechanism ensures optimal utilization of the duty cycle by focusing measurements on the most relevant m/z ranges, increasing the number of productive analyses
3Measurement precision
If capillary electrophoresis (CE) is used for separation based on electrophoretic mobility, then m/z-dependent separation can be achieved, but the system complexity increases compared to traditional LC methods
Solution Approach 1:
The patent replaces the mechanical LC separation system with an electrical CE separation system that uses electric fields to separate molecules based on electrophoretic mobility. This substitution enables m/z-dependent separation with higher precision while the computational prediction algorithms manage the increased system complexity
4Productivity
If computational prediction of m/z values and separation times is implemented, then the duty cycle can be optimized, but the computational resources and processing time required increase
Solution Approach 1:
The system performs computational prediction for only the most relevant m/z ranges and separation times based on preliminary analysis, rather than calculating all possible values. This partial action approach optimizes duty cycle utilization while minimizing unnecessary computational energy consumption
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
Eco-MS improves the detection and quantification of proteins, peptides, transcripts, and genes by increasing the depth of molecular coverage, sensitivity, and specificity, optimizing the duty cycle and bandwidth of mass spectrometers.
Implementation Method 1
CE separates molecules (ions) in solution based on their electrophoretic mobility under an electric field. The electrophoretic mobility of a molecule is known to depend on its size, charge, and hydration shell, among other factors.
Implementation Method 2
Mass spectrometry (MS) is the leading technology to identify and quantify biomolecules based on the detection of their mass-to-charge (m/z) values, akin to weighing molecules.
Implementation Method 3
To facilitate MS detection, biomolecules are usually separated first in the solution phase so that these molecules can be slowly introduced, one after the other ideally, for the mass spectrometer to detect them.
Data Source
AI summary
Systems and methods for specialized data acquisition in capillary electrophoresis electrospray ionization mass spectrometry (MS) that includes (a) mass-to-charge (m/z) vs. migration time (MT) correlation, (b) ion mobility (IM) vs. MT correlation, and (c) m/z vs. IM vs. MT correlation to advance molecular analysis via data-dependent, data-independent, and targeted analysis methods executed on mass spectrometers using diverse types of mass analyzers, including but not limited to orbitrap, time-of-flight, and ion mobility time-of-flight mass analyzers. Electrophoresis-correlative (Eco) MS enhances the detection, identification, and quantification of molecules, as is demonstrated here for complex proteome samples.