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A new optimization strategy for MALDI FTICR MS tissue analysis for untargeted metabolomics using experimental design
Justine Ferey1,2, Florent Marguet3,4, Annie Laquerrière3,4
1Normandie Univ, COBRA, UMR 6014 and FR 3038, Université de Rouen, INSA de Rouen, CNRS, IRCOF, 1 rue Tesnière, 76821, Mont-Saint-Aignan, Cedex, France.
Analytical and Bioanalytical Chemistry
|May 17, 2019
Summary
Optimizing matrix-assisted laser desorption ionization (MALDI) coupled with Fourier transform ion cyclotron resonance (FTICR) mass spectrometry enhances untargeted metabolomics. This strategy significantly improves peak detection, resolution, and accuracy for visualizing small molecules in tissues.
Area of Science:
- Analytical Chemistry
- Biotechnology
- Metabolomics
Background:
- Ultra-high-resolution imaging mass spectrometry (MS) using MALDI-FTICR MS is crucial for visualizing small molecule distribution in biological tissues.
- FTICR MS offers high resolving power and mass accuracy, essential for untargeted metabolomics and molecular formula assignment.
- Optimal performance of MALDI-FTICR MS necessitates fine-tuning of various operational parameters.
Purpose of the Study:
- To develop and implement an experimental design strategy for optimizing ion transmission voltages and MALDI parameters for tissue untargeted metabolomics.
- To systematically evaluate the impact of multiple factors on key performance metrics in both positive and negative ionization modes.
- To enhance the capabilities of MALDI-FTICR MS for comprehensive small molecule analysis in biological samples.
Main Methods:
- Employed fractional factorial designs to assess the effects of nine ion transmission voltage factors and four MALDI parameters.
- Utilized multiple linear regression (MLR) for evaluating factor effects and optimizing parameter values within the m/z 150-1000 mass range.
- Assessed performance based on the number of peaks, weighted resolution, and mean error in positive and negative ionization modes.
Main Results:
- Optimized parameters led to significant improvements: a 32% and 18% increase in the number of peaks for positive and negative modes, respectively.
- Achieved an 8% and 39% increase in resolution, alongside a 56% and 34% decrease in mean error in positive and negative ionization modes, respectively.
- Demonstrated enhanced molecular coverage and accuracy for untargeted metabolomics analysis.
Conclusions:
- The proposed experimental design strategy effectively optimizes MALDI-FTICR MS parameters for untargeted metabolomics.
- The optimized settings substantially improve data quality, enabling more comprehensive small molecule visualization and identification in tissues.
- This approach provides a robust framework for advancing high-resolution imaging mass spectrometry applications in biological research.
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