Mass-to-Charge Ratio Set Matching: A Novel and Efficient Compound Identification Method.

Area of Science:

• Analytical Chemistry
• Spectroscopy
• Biochemical Analysis

Background:

• Gas Chromatography-Mass Spectrometry (GC-MS) is crucial for identifying unknown compounds in analytical chemistry and biological samples.
• Accurate compound identification in GC-MS relies on matching query spectra against reference spectra using algorithms.

Purpose of the Study:

• To develop a novel method for improving the accuracy of compound identification in GC-MS.
• To enhance the efficiency of spectral matching algorithms.

Main Methods:

• A novel m/z set matching method is proposed, involving a pre-search for maximum and highest intensity m/z values.
• A space vector model is utilized for refined spectral searching after the initial pre-search.
• Stereoisomers are distinguished based on the order of their G values.

Main Results:

• The m/z set matching method demonstrated higher accuracy and fewer remaining spectra compared to 10-peak and m/z number matching pre-search methods.
• The refined search using m/z set matching resulted in shorter calculation times than analyses without pre-searching.

Conclusions:

• The proposed m/z set matching method effectively reduces remaining spectra and accelerates compound identification in GC-MS.
• This approach leads to improved accuracy, a decreased number of unassigned spectra, and reduced computational time.