rIDIMS: A novel tool for processing direct-infusion mass spectrometry data

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dc.contributor.authorMansoldo F.R.P.
dc.contributor.authorLopes de Lima I.
dc.contributor.authorPais de Carvalho C.
dc.contributor.authorda Silva A.R.J.
dc.contributor.authorEberlin M.N.
dc.contributor.authorVermelho A.B.
dc.date.accessioned2024-12-01T06:10:08Z
dc.date.available2024-12-01T06:10:08Z
dc.date.issued2025
dc.description.abstract© 2024 Elsevier B.V.Metabolomics using mass spectrometry-only (MS) analysis either by continuous or intermittent direct infusion (DIMS) and ambient ionization techniques (AMS) has grown in popularity due to their rapid, high-throughput nature and the advantage of performing fast analysis with minimal or no sample pretreatments. But currently, end-users without programming knowledge do not find applications with Graphical User Interface (GUI) specialized in processing DIMS or AMS data. Specifically, there is a lack of standardized workflow for processing data from limited sample sizes and scans from different total ion chronograms (TIC).To address this gap, we present rIDIMS, a browser-based application that offers a straightforward and fast workflow focusing on high-quality scan selection, grouping of isotopologues and adducts, data alignment, binning, and filtering. We also introduce a novel function for selecting TIC scans that is reproducible and statistically reliable, which is a feature particularly useful for studies with limited sample sizes. After processing in rIDIMS, the result is exported in an HTML report document that presents publication-quality figures, statistical data and tables, ready to be customized and exported. We demonstrate rIDIMS functionality in three cases: (i) Classification of coffee bean species through the chemical profile obtained with Mass Spec Pen; (ii) Public repository DIMS data from lipid profiling in monogenic insulin resistance syndromes, and (iii) Lipids for lung cancer classification. We show that our implementation facilitates the processing of AMS and DIMS data through an easy and intuitive interface, contributing to reproducible and reliable metabolomic investigations. Indeed, rIDIMS function asa user-friendly GUI based Shiny web application for intuitive use by end-users (available at https://github.com/BioinovarLab/rIDIMS).
dc.description.volume284
dc.identifier.doi10.1016/j.talanta.2024.127273
dc.identifier.issnNone
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/39784
dc.relation.ispartofTalanta
dc.rightsAcesso Restrito
dc.subject.otherlanguageAmbient ionization
dc.subject.otherlanguageDirect infusion mass spectrometry
dc.subject.otherlanguageGraphical user interface for mass spectrometry data processing
dc.subject.otherlanguageMasSpec pen
dc.subject.otherlanguageMetabolomics
dc.titlerIDIMS: A novel tool for processing direct-infusion mass spectrometry data
dc.typeArtigo
local.scopus.citations0
local.scopus.eid2-s2.0-85209948653
local.scopus.subjectAmbient ionizations
local.scopus.subjectDirect infusion mass spectrometries
local.scopus.subjectDirect infusions
local.scopus.subjectEnd-users
local.scopus.subjectGraphical user interface for mass spectrometry data processing
local.scopus.subjectMass spectrometry data
local.scopus.subjectMasspec pen
local.scopus.subjectMetabolomics
local.scopus.subjectSample sizes
local.scopus.subjectWork-flows
local.scopus.updated2024-12-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85209948653&origin=inward
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