Evidence map›Paper›PMID 41044699›Full record

ArticleAnalytical chemistry2025

Plasma-Microdroplet Fusion for Online Post-Column Epoxidation: Toward Deep Lipidomics on Unmodified Mass Spectrometers.

Niraj K Panday, Alexander J Grooms, Santosh R Acharya, Abraham K Badu-Tawiah

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Niraj K PandayDepartment of Chemistry and Biochemistry, The Ohio State University Columbus, Ohio 43210, United States.ORCID 0000-0002-8726-6711
Alexander J GroomsDepartment of Chemistry and Biochemistry, The Ohio State University Columbus, Ohio 43210, United States.
Santosh R AcharyaDepartment of Chemistry and Biochemistry, The Ohio State University Columbus, Ohio 43210, United States.
Abraham K Badu-TawiahDepartment of Chemistry and Biochemistry, The Ohio State University Columbus, Ohio 43210, United States.ORCID 0000-0001-8642-3431

Funding

Integrating Accelerated Droplet Chemistry with LC-MS for High Throughput Quantitative AnalysisR01GM149080 · NIGMS · OHIO STATE UNIVERSITY · PI Abraham Badu-Tawiah · 2023 to 2026
$1.2M
NIGMS NIH HHS R01 GM149080
6 · The paper itself

Abstract

The ability to characterize closely related lipids is clinically important, requiring the development of analytical tools to differentiate species responsible for metabolic disorders from those needed for metabolic homeostasis. Herein, we report a new liquid chromatographic (LC) method that utilizes online microdroplet-based epoxidation reactions during electrospray to enable C═C bond localization on conventional tandem mass spectrometry (MS/MS). Through a coaxial spray mechanism, charged microdroplets derived from the LC column and containing the lipid analyte were fused with nonthermal plasma, which facilitated (i) positive ion mode detection of various lipid classes and (ii) instantaneous C═C bond epoxidation via reaction with reactive oxygen species in the nonthermal plasma. Consequently, conventional low-energy MS/MS based on collision-induced dissociation was effective in characterizing the positional isomers of various lipids. Our ability to modify electrosprayed microdroplets post-column allowed independent optimization of the LC mobile phase, which in turn enabled both polar and nonpolar lipids to be separated on a C12 reverse-phase column. A data-dependent acquisition (DDA) method was created to enable the automated characterization of epoxide products in a 17-component lipid mixture. The DDA method was applied to characterize new triacylglycerol previously not detected in extra virgin olive oil.

Indexed as

Epoxy CompoundsLipidomicsLipidsChromatography, LiquidTandem Mass SpectrometryEpoxy CompoundsLipids

Identifiers

PMID41044699
PMCPMC12706754

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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.