Evidence map›Paper›PMID 35094340›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Implementation of Ion Mobility Spectrometry-Based Separations in Structures for Lossless Ion Manipulations (SLIM).

Adam L Hollerbach, Christopher R Conant, Gabe Nagy, Yehia M Ibrahim

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.5field-weighted citation impact, top 6% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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 at 1 institution in 1 country.

Adam L Hollerbach *Pacific Northwest National Laboratory, Richland, WA, USA.
Christopher R Conant *Pacific Northwest National Laboratory, Richland, WA, USA.
Gabe NagyPacific Northwest National Laboratory, Richland, WA, USA.
Yehia M IbrahimPacific Northwest National Laboratory, Richland, WA, USA. Yehia.Ibrahim@pnnl.gov.
Pacific Northwest National Laboratory · US

Funding

High Resolution High Throughput Proteomics Platform for Cancer ResearchR33CA217699 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI IBRAHIM, YEHIA · 2017 to 2019
$1.3M
NCI NIH HHS R33 CA217699
6 · The paper itself

Abstract

Structures for Lossless Ion Manipulations (SLIM) is a powerful variant of traveling wave ion mobility spectrometry (TW-IMS) that uses a serpentine pattern of microelectrodes deposited onto printed circuit boards to achieve ultralong ion path lengths (13.5 m). Ions are propelled through SLIM platforms via arrays of TW electrodes while RF and DC electrodes provide radial confinement, establishing near lossless transmission. The recent ability to cycle ions multiple times through a SLIM has allowed ion path lengths to exceed 1000 m, providing unprecedented separation power and the ability to observe ion structural conformations unobtainable with other IMS technologies. The combination of high separation power, high signal intensity, and the ability to couple with mass spectrometry places SLIM in the unique position of being able to address longstanding proteomics and metabolomics challenges by allowing the characterization of isomeric mixtures containing low abundance analytes.

Indexed as

Ion Mobility SpectrometryIonsIsomerismMass SpectrometryMicroelectrodesIonsGas-phase separationsIon cyclingIon mobilityMass spectrometryPeak capacitySerpentine pathSLIMTraveling waveUltrahigh resolution

Identifiers

PMID35094340
PMCPMC9526429
OpenAlexW4210514360

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.