Evidence map›Paper›PMID 42758032›Full record

ArticleRapid communications in mass spectrometry : RCM2026

Implementation of Nano Flow Chromatography Coupled to Mass Spectrometry as a Reliable and Sensitive Discovery Lipidomics Platform.

Ciara J Sallowicz, Thiago Mattos, Rahul R Deshpande, Bashar Amer, Susan S Bird

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Article in Rapid communications in mass spectrometry : RCM, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ciara J SallowiczThermo Fisher Scientific, San Jose, California, USA.ORCID https://orcid.org/0000-0002-2668-8048
Thiago MattosThermo Fisher Scientific, San Jose, California, USA.ORCID https://orcid.org/0000-0001-9377-2285
Rahul R DeshpandeThermo Fisher Scientific, San Jose, California, USA.ORCID https://orcid.org/0000-0002-6522-5724
Bashar AmerThermo Fisher Scientific, San Jose, California, USA.
Susan S BirdThermo Fisher Scientific, San Jose, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleUntargeted lipidomics is commonly performed at analytical flow rates, which consume more solvent and may require higher on-column sample loads when sensitivity is limited by analyte abundance. Nano flow separations use lower flow rates and sample loads, reducing solvent consumption and facilitating improved electrospray ionization. We present here practical considerations for implementing a routine nano flow lipidomics workflow.

methodsBovine liver total lipid extract was spiked with SPLASH Lipidomix internal standards and analyzed by nano flow and high flow liquid chromatography coupled to a high-resolution accurate mass Orbitrap-based mass spectrometer. Full-scan polarity switching was used for untargeted profiling, and the AcquireX Deep Scan workflow was applied to support data-dependent MS/MS acquisition in the complex matrix. A SPLASH dilution series was analyzed in triplicate injections to compare analytical response across on-column loads between the two workflows.

resultsAt 25 ng on-column, nano flow yielded 1266 total lipid annotations and 835 high-quality annotations, compared with 919 total and 518 high-quality annotations for high flow at 100 ng. Unintentional fragmentation decreased under nano flow conditions by 21%-31% across the representative lipid species evaluated. The use of nano flow allowed for the detection of lower on-column loads across several standards, extending the lower end of the response range by up to 40-fold compared with high flow analyses.

conclusionsNano flow lipidomics improved sensitivity for untargeted analysis by increasing the number of lipid annotations, reducing unintentional fragmentation, and extending the analytical response to lower on-column loads. Together with practical guidance around sample preparation, injection volume, washing, and equilibration, these results support nano flow chromatography as a sensitive and reliable approach for sample-limited untargeted lipidomics.

Indexed as

LipidomicsLipidsLiquid Chromatography-Mass SpectrometryNanotechnologyTandem Mass SpectrometryAnimalsCattleLiverReproducibility of ResultsLipids

Identifiers

PMID42758032
PMCPMC13588102

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.