A practical approach for determination of mass spectral baselines

Area of Science:

• Analytical Chemistry
• Spectroscopy
• Biochemistry

Background:

• Precise baseline determination is crucial for accurate mass spectrometry.
• Current methods can be complex and time-consuming.
• Variations in experimental conditions necessitate robust baseline correction.

Purpose of the Study:

• To develop a practical and automated approach for determining mass spectra baselines.
• To improve the accuracy and consistency of analyte identification and quantification.
• To facilitate high-throughput data processing in mass spectrometry.

Main Methods:

• Baseline determined as the sum of baseline drift and noise level.
• Baseline drift calculated by averaging lowest ion intensities.
• Noise level identified via an accelerated intensity change using an accumulative layer thickness curve derived from sequential layer deductions.
• Transition layer identified using sixth-order polynomial regression and fourth derivative roots.

Main Results:

• A novel, program-based method for baseline determination was successfully developed.
• The method accurately accounts for both baseline drift and noise.
• Validation confirmed the robustness of the transition layer identification.
• The approach demonstrated convergence across varied deduction parameters.

Conclusions:

• This practical baseline determination approach enhances accuracy and consistency in mass spectrometry.
• It significantly aids in the automation of data processing.
• The method is particularly beneficial for high-throughput methodologies like shotgun lipidomics.