Lipids play a significant role in life activities and participate in the biological system through different pathways. Although comprehensive two-dimensional liquid chromatography-mass spectrometry (2DLC-MS) has been developed to profile lipid abundance changes, lipid identification and quantification from 2DLC-MS data remain a challenge. We created , open-source software for lipid assignment and isotopic peak stripping of the 2DLC-MS data. takes the peak list deconvoluted from the 2DLC-MS data as input and assigns each isotopic peak to the lipids recorded in the LIPID MAPS database by precursor ion / matching. The matched lipids are then filtered by the first-dimension retention time (D RT), followed by the second-dimension retention time (D RT), where the D RT of each lipid is predicted using an equivalent carbon number (ECN) model. The remaining assigned lipids are used for isotopic peak stripping via an iterative linear regression. The performance of was tested using a set of lipid standards and then applied to study the lipid changes in the livers of mice (-) fed with alcohol.

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http://dx.doi.org/10.1021/acs.analchem.3c04419DOI Listing

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