CCSfind: A tool for chemically informed LC-IM-MS database building

01 March 2024, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

In addition to providing critical knowledge of the accurate mass of ions, ion mobility-mass spectrometry (IM-MS) delivers complementary data relating to the conformation and size of ions in the form of an ion mobility spectrum and derived parameters; namely the ion’s mobility (K) and the IM-derived collision cross section (CCS). However, the maximum amount of information obtained in IM-MS measurements is not currently transferred into analytical databases including the full mobility spectra (CCS distributions) as well as capturing of additional ion species (e.g., adducts) into the same compound entry. We introduce CCSfind, a new tool for building comprehensive databases from experimental IM-MS measurements of small molecules. CCSfind allows predicted ion species to be chosen for input chemical formulae, which are then targeted by CCSfind after parsing open source mzML input files to provide a unified set of results within a single data processing step. CCSfind can handle both chromatographically separated isomers and IM separation of isomeric ions (e.g., “protomers” or conformers of the same ion species) with simple user control over the output for new database entries in SQL format. Files of up to 1 GB can be processed in less than 2 minutes on a desktop computer with 32GB RAM with computational time scaling linearly with the size of the input mzML file or the number of input molecular formulae. Results are manually reviewed, annotated with experimental settings, before committing the database where the full dataset can be retrieved.

Keywords

ion mobility
mass spectrometry
chromatography
Python
collision cross section
database

Supplementary materials

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Description
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Underlying data for manuscript
Description
Data from vendor vs. CCSfind comparison and computational performance of CCSfind.
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User guide for CCSfind
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Step-by-step user guide for CCSfind including screenshots.
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Supplementary weblinks

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