Investigating the Potential of Ion Mobility-Mass Spectrometry for Microalgae Biomass Characterization

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dc.contributor.authorFasciotti M.
dc.contributor.authorSouza G.H.M.F.
dc.contributor.authorAstarita G.
dc.contributor.authorCosta I.C.R.
dc.contributor.authorMonteiro T.V.C.
dc.contributor.authorTeixeira C.M.L.L.
dc.contributor.authorEberlin M.N.
dc.contributor.authorSarpal A.S.
dc.date.accessioned2024-03-12T23:53:07Z
dc.date.available2024-03-12T23:53:07Z
dc.date.issued2019
dc.description.abstract© 2019 American Chemical Society.Algae biomass is formed by an extremely complex set of metabolites, and its molecular characterization has been very challenging. We report the characterization of microalgae extracts via traveling wave ion mobility-mass spectrometry (TWIM-MS) by two different analysis strategies. First, the extracts were analyzed by direct infusion electrospray ionization (ESI) with no previous chromatographic separation (DI-ESI-TWIM-MS). Second, the samples were screened for metabolites and lipids using an untargeted high-throughput method that employs ultrahigh-performance liquid chromatography (UHPLC) using data-independent analysis (DIA) - MSE (UHPLC-HDMSE). Sixteen different microalgae biomasses were evaluated by both strategies. DI-ESI-TWIM-MS was able, via distinct drift times, to set apart different classes of metabolites, with the differences in the profiles of each microalga readily evident. With the UHPLC-HDMSE approach, 1251 different compounds were putatively annotated across 16 samples with 210 classified as lipids. From the normalized abundance for each annotated compound category, a detailed profiling in terms of metabolites, lipids, and lipid classes of each sample was performed. The reported workflow represents a powerful tool to determine the most suitable biotechnological applications for a given alga type and may allow for real-time monitoring of the algae composition distribution as a function of growth conditions, feedstocks, and the like. The determination of collision cross section results in improved confidence in the identification of triacylglycerols in samples, highly applicable to biofuels production. The two analysis strategies explored in this work offer powerful tools for the biomass industry by aiding in the identification of ideal strains and culture conditions for a specific application, saving analysis time and facilitating identification of a large number of constituents at once.
dc.description.firstpage9266
dc.description.issuenumber14
dc.description.lastpage9276
dc.description.volume91
dc.identifier.doi10.1021/acs.analchem.9b02172
dc.identifier.issn1520-6882
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/35265
dc.relation.ispartofAnalytical Chemistry
dc.rightsAcesso Restrito
dc.titleInvestigating the Potential of Ion Mobility-Mass Spectrometry for Microalgae Biomass Characterization
dc.typeArtigo
local.scopus.citations9
local.scopus.eid2-s2.0-85069948736
local.scopus.subjectBiotechnological applications
local.scopus.subjectChromatographic separations
local.scopus.subjectData-independent analysis
local.scopus.subjectElectrospray ionization (ESI)
local.scopus.subjectIon mobility-mass spectrometry
local.scopus.subjectMolecular characterization
local.scopus.subjectTraveling wave ion mobilities
local.scopus.subjectUltra high performance liquid chromatography (UHPLC)
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85069948736&origin=inward
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