Method for the identification of lipid classes based on referenced Kendrick mass analysis

Area of Science:

• Analytical Chemistry
• Lipidomics
• Mass Spectrometry

Background:

• Accurate lipid class determination is crucial in lipidomics.
• Existing methods can be time-consuming or lack sensitivity for complex mixtures.

Purpose of the Study:

• To develop a rapid and sensitive method for identifying lipid classes and homologous series.
• To introduce the Referenced Kendrick Mass Defect (RKMD) analysis for lipid identification.

Main Methods:

• Adaptation of Kendrick mass defect analysis to create RKMD plots.
• Conversion of lipid masses to a Kendrick mass scale.
• Referencing converted masses by subtracting backbone contributions to isolate fatty acid mass defects.

Main Results:

• The RKMD method successfully identified lipids in an idealized dataset of glycerides and phosphoglycerides.
• RKMD plots enable rapid identification of homologous series and lipid classes.
• An integer RKMD value directly indicates the degree of unsaturation within a lipid class.

Conclusions:

• The RKMD method offers a sensitive and rapid approach for lipid class determination.
• This technique simplifies the analysis of complex lipid extracts, such as those from biological samples like bovine milk.