Evidence map›Paper›PMID 31894612›Full record

ArticleRapid communications in mass spectrometry : RCM2020

Collision cross-section analysis of self-assembled metallomacrocycle isomers and isobars via ion mobility mass spectrometry.

Kevin J Endres, Kevin Barthelmes, Andreas Winter, Robert Antolovich, Ulrich S Schubert, Chrys Wesdemiotis

Open access · hybridAbstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2020. 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
1.0field-weighted citation impact, top 29% of its field
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, 14 citations in OpenAlex.

  1. Article
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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

6 authors at 3 institutions in 3 countries.

Kevin J EndresDepartment of Polymer Science, University of Akron, Akron, OH, USA.ORCID https://orcid.org/0000-0002-0857-6966
Kevin BarthelmesLaboratory of Organic and Macromolecular Chemistry (IOMC), Friedrich Schiller University Jena, Humboldtstr. 10, Jena, Germany.
Andreas WinterLaboratory of Organic and Macromolecular Chemistry (IOMC), Friedrich Schiller University Jena, Humboldtstr. 10, Jena, Germany.ORCID https://orcid.org/0000-0003-0757-8721
Robert AntolovichDepartment of Polymer Science, University of Akron, Akron, OH, USA.
Ulrich S SchubertLaboratory of Organic and Macromolecular Chemistry (IOMC), Friedrich Schiller University Jena, Humboldtstr. 10, Jena, Germany.ORCID https://orcid.org/0000-0003-4978-4670
Chrys WesdemiotisDepartment of Polymer Science, University of Akron, Akron, OH, USA.ORCID https://orcid.org/0000-0002-7916-4782
University of Akron · USFriedrich Schiller University Jena · DESurugadai Nihon University Hospital · JP

Funding

Deutsche Forschungsgemeinschaft DFG Priority Program 2102 "LCRMC", SCHU1229-16/1National Science Foundation CHE-1808115
6 · The paper itself

Abstract

rationaleCoordinatively driven self-assembly of transition metal ions and bidentate ligands gives rise to organometallic complexes that usually contain superimposed isobars, isomers, and conformers. In this study, the double dispersion ability of ion mobility mass spectrometry (IM-MS) was used to provide a comprehensive structural characterization of the self-assembled supramolecular complexes by their mass and charge, revealed by the MS event, and their shape and collision cross-section (Ω), revealed by the IM event.

methodsSelf-assembled complexes were synthesized by reacting a bis(terpyridine) ligand exhibiting a 60

resultsOnly macrocyclic dimers, trimers, and tetramers were observed with Cd

conclusionsComplete structural identification could be accomplished using ESI-IM-MS. Our results affirm that self-assembly with Cd

Identifiers

PMID31894612
PMCPMC9285404
OpenAlexW2997863377

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Registered trials

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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.