Evidence map›Paper›PMID 28547725›Full record

ArticleJournal of the American Society for Mass Spectrometry2017

Dual-Polarity Ion Trap Mass Spectrometry: Dynamic Monitoring and Controlling Gas-phase Ion-Ion Reactions.

Muyi He, You Jiang, Dan Guo, Xingchuang Xiong, Xiang Fang, Wei Xu

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2017. 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
0.3field-weighted citation impact, top 46% 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, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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 2 institutions in 1 country.

Muyi HeSchool of Life Science, Beijing Institute of Technology, Beijing, 100081, China.
You JiangNational Institute of Metrology, Beijing, 100013, China.
Dan GuoSchool of Life Science, Beijing Institute of Technology, Beijing, 100081, China.
Xingchuang XiongNational Institute of Metrology, Beijing, 100013, China.
Xiang FangNational Institute of Metrology, Beijing, 100013, China. fangxiang@china.com.
Wei XuSchool of Life Science, Beijing Institute of Technology, Beijing, 100081, China. weixu@bit.edu.cn.
Beijing Institute of Technology · CNNational Institute of Metrology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A dual-polarity linear ion trap (LIT) mass spectrometer was developed in this study, and the method for simultaneously controlling and detecting cations and anions was proposed and realized in the LIT. With the application of an additional dipolar DC field on the ejection electrodes of an LIT, dual-polarity mass spectra could be obtained, which include both the mass-to-charge (m/z) ratio and charge polarity information of an ion. Compared with conventional method, the ion ejection and detection efficiency could also be improved by about one-fold. Furthermore, ion-ion reactions within the LIT could be dynamically controlled and monitored by manipulating the distributions of ions with opposite charge polarities. This method was then used to control and study the reaction kinetics of ion-ion reactions, including electron transfer dissociation (ETD) and charge inversion reactions. A dual-polarity collision-induced dissociation (CID) experiment was proposed and performed to enhance the sequence coverage of a peptide ion. Ion trajectory simulations were also carried out for concept validation and system optimization. Graphical Abstract ᅟ.

Indexed as

Collision-induced dissociationDual-polarity mass spectrometryElectron transfer dissociationGas phase ion–ion reactionLinear ion trap

Identifiers

PMID28547725
OpenAlexW2616871219

What OpenQuestion holds

Textmetadata
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.