Evidence map›Paper›PMID 40556882›Full record

ArticleACS measurement science au2025

Implications of Extra-column Effects for Targeted or Untargeted Microflow LC-MS.

Troy T Handlovic, Umang Dhaubhadel, Ondřej Horáček, Martin Novák, Lucie Nováková, Daniel W Armstrong

Abstract read
In one paragraph

Article in ACS measurement science au, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

6 authors.

Troy T HandlovicDepartment of Chemistry and Biochemistry, University of Texas at Arlington, Arlington, Texas 76019, United States.ORCID https://orcid.org/0000-0003-0460-0102
Umang DhaubhadelDepartment of Chemistry and Biochemistry, University of Texas at Arlington, Arlington, Texas 76019, United States.ORCID https://orcid.org/0000-0002-2518-9140
Ondřej HoráčekDepartment of Pharmaceutical Chemistry and Pharmaceutical Analysis, Faculty of Pharmacy in Hradec Králové, Charles University, Hradec Králové 50003, Czech Republic.
Martin NovákBiomedical Research Centre, University Hospital Hradec Králové, Sokolská 581, Hradec Králové 50005, Czech Republic.
Lucie NovákováDepartment of Analytical Chemistry, Faculty of Pharmacy in Hradec Králové, Charles University, Hradec Králové 50003, Czech Republic.
Daniel W ArmstrongDepartment of Chemistry and Biochemistry, University of Texas at Arlington, Arlington, Texas 76019, United States.ORCID https://orcid.org/0000-0003-0501-6231

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mass spectrometry (MS) has changed our understanding of health, disease, and the environment through untargeted analyses where entire molecular classes are investigated. These techniques generate huge amounts of data which when processed by statistical tools can identify important molecular features or biomarkers. The complexities of these samples are not compatible with direct introduction to the MS system and require a high-resolution separation step, typically low flow liquid chromatography (LC), prior to MS. LC columns that can produce adequate linear velocities at these low flow rates are small in volume making their results susceptible to resolution loss in extra-column volumes. Here, we investigate the implications of the extra-column effects in five LC-MS systems with triple quadrupole and orbitrap mass analyzers. The extra-column volume of these systems in their standard configuration ranged from 26.4 to 78.1 μL which we reduced to 9.57 to 18.7 μL by optimizing the fluidics. The effects of this volume reduction were assessed by studying a hydrolyzed protein sample in a proteomics environment where the intensity of the largest MS peak was improved by 1.8-3.8×. Additionally, the number of molecular features detected in the protein sample improved by up to 7.5×. The relationship between extra-column volumetric variance and flow rate shows that broadening will become much larger for MS detectors at higher flow rates, unlike a traditional small volume UV detector. The methods, applications, and theoretical insights in this work can be used to improve the mass spectrometric results of any LC-MS system.

Indexed as

band broadeningextra-column effectsinstrumentationLC-MSliquid chromatographyomicsproteomics

Identifiers

PMID40556882
PMCPMC12183583

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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.