DBDIpy: a Python library for processing of untargeted datasets from real-time plasma ionization mass spectrometry.

ABSTRACT:

Motivation

Plasma ionization is rapidly gaining popularity for mass spectrometry (MS)-based studies of volatiles and aerosols. However, data from plasma ionization are delicate to interpret as competing ionization pathways in the plasma create numerous ion species. There is no tool for detection of adducts and in-source fragments from plasma ionization data yet, which makes data evaluation ambiguous.

Summary

We developed DBDIpy, a Python library for processing and formal analysis of untargeted, time-sensitive plasma ionization MS datasets. Its core functionality lies in the identification of in-source fragments and identification of rivaling ionization pathways of the same analytes in time-sensitive datasets. It further contains elementary functions for processing of untarge

SUBMITTER: Weidner L 

PROVIDER: S-EPMC9942549 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature