Evidence map›Paper›PMID 31502303›Full record

ArticleElectrophoresis2019

CE-MS with electrokinetic supercharging and application to determination of neurotransmitters.

Shane S Wells, Mohamed Dawod, Robert T Kennedy

Open access · bronzeAbstract read
In one paragraph

Article in Electrophoresis, 2019. 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
1.1field-weighted citation impact, top 24% 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, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Recent (2018-2020) development in capillary electrophoresis.Analytical and bioanalytical chemistry · 2022
    Review
  4. Review
  5. 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

3 authors at 1 institution in 1 country.

Shane S WellsDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-1939-2510
Mohamed DawodDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA.
Robert T KennedyDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA.
University of Michigan · US

Funding

In vivo chemical monitoring using capillary separationsR01EB003320 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KENNEDY, ROBERT T · 2003 to 2020
$2.7M
NIBIB NIH HHS 2R01EB003320-21NIBIB NIH HHS R01 EB003320NIH HHS 2R01EB003320-21
6 · The paper itself

Abstract

Electrokinetic supercharging (EKS) is known as one of the most effective online electrophoretic preconcentration techniques, though pairing with it with mass spectrometry has presented challenges. Here, EKS is successfully paired with ESI-MS/MS to provide a sensitive and robust method for analysis of biogenic amines in biological samples. Injection parameters including electric field strength and the buffer compositions used for the separation and focusing were investigated to achieve suitable resolution, high sensitivity, and compatibility with ESI-MS. Using EKS, the sensitivity of the method was improved 5000-fold compared to a conventional hydrodynamic injection with CZE. The separation allowed for baseline resolution of several neurotransmitters within 16 min with LODs down to 10 pM. This method was applied to targeted analysis of seven biogenic amines from rat brain stem and whole Drosophila tissue. This is the first method to use EKS with CE-ESI-MS/MS to analyze biological samples.

Indexed as

AnimalsBrain StemDrosophilaElectrophoresis, CapillaryLimit of DetectionLinear ModelsMaleMass SpectrometryNeurotransmitter AgentsRatsReproducibility of ResultsNeurotransmitter AgentsBiological samplesCECE-MSElectrokinetic superchargingNeurotransmitters

Identifiers

PMID31502303
PMCPMC6947659
OpenAlexW2973057053

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.