Evidence map›Paper›PMID 35353398›Full record

ArticleRapid communications in mass spectrometry : RCM2022

Evaluation of acquisition modes for semi-quantitative analysis by targeted and untargeted mass spectrometry.

Hannah M Britt, Tristan Cragnolini, Suniya Khatun, Abubakar Hatimy, Juliette James, Nathanael Page, Jonathan P Williams, Christopher Hughes, Richard Denny, Konstantinos Thalassinos and 1 more

Abstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

11 authors.

Hannah M BrittInstitute of Structural and Molecular Biology, Division of Biosciences, University College London, London, UK.ORCID https://orcid.org/0000-0001-8510-0331
Tristan CragnoliniInstitute of Structural and Molecular Biology, Division of Biosciences, University College London, London, UK.ORCID https://orcid.org/0000-0001-6917-7056
Suniya KhatunInstitute of Structural and Molecular Biology, Division of Biosciences, University College London, London, UK.
Abubakar HatimyInstitute of Structural and Molecular Biology, Division of Biosciences, University College London, London, UK.
Juliette JamesInstitute of Structural and Molecular Biology, Division of Biosciences, University College London, London, UK.
Nathanael PageInstitute of Structural and Molecular Biology, Division of Biosciences, University College London, London, UK.ORCID https://orcid.org/0000-0001-5193-5955
Jonathan P WilliamsWaters Corporation, Wilmslow, UK.
Christopher HughesWaters Corporation, Wilmslow, UK.
Richard DennyWaters Corporation, Wilmslow, UK.ORCID https://orcid.org/0000-0002-3428-7375
Konstantinos ThalassinosInstitute of Structural and Molecular Biology, Division of Biosciences, University College London, London, UK.ORCID https://orcid.org/0000-0001-5072-8428
Johannes P C VissersWaters Corporation, Wilmslow, UK.ORCID https://orcid.org/0000-0001-6283-8456

Funding

Wellcome Trust 209250/Z/17/Z
6 · The paper itself

Abstract

rationaleAnalyte quantitation by mass spectrometry underpins a diverse range of scientific endeavors. The fast-growing field of mass spectrometer development has resulted in several targeted and untargeted acquisition modes suitable for these applications. By characterizing the acquisition methods available on an ion mobility (IM)-enabled orthogonal acceleration time-of-flight (oa-ToF) instrument, the optimum modes for analyte semi-quantitation can be deduced.

methodsSerial dilutions of commercial metabolite, peptide, or cross-linked peptide analytes were prepared in matrices of human urine or Escherichia coli digest. Each analyte dilution was introduced into an IM separation-enabled oa-ToF mass spectrometer by reversed-phase liquid chromatography and electrospray ionization. Data were acquired for each sample in duplicate using nine different acquisition modes, including four IM-enabled acquisitions modes, available on the mass spectrometer.

resultsFive (metabolite) or seven (peptide/cross-linked peptide) point calibration curves were prepared for analytes across each of the acquisition modes. A nonlinear response was observed at high concentrations for some modes, attributed to saturation effects. Two correction methods, one MS1 isotope-correction and one MS2 ion intensity-correction, were applied to address this observation, resulting in an up to twofold increase in dynamic range. By averaging the semi-quantitative results across analyte classes, two parameters, linear dynamic range (LDR) and lower limit of quantification (LLOQ), were determined to evaluate each mode.

conclusionA comparison of the acquisition modes revealed that data-independent acquisition and parallel reaction monitoring methods are most robust for semi-quantitation when considering achievable LDR and LLOQ. IM-enabled modes exhibited sensitivity increases, but a simultaneous reduction in dynamic range required correction methods to recover. These findings will assist users in identifying the optimum acquisition mode for their analyte quantitation needs, supporting a diverse range of applications and providing guidance for future acquisition mode developments.

Indexed as

Escherichia coliPeptidesCalibrationHumansMass SpectrometryPeptides

Identifiers

PMID35353398
PMCPMC9287043

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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.