Evidence map›Paper›PMID 21062014›Full record

ArticleAnalytical chemistry2010

Capillary ultrahigh performance liquid chromatography with elevated temperature for sub-one minute separations of basal serotonin in submicroliter brain microdialysate samples.

Yansheng Liu, Jing Zhang, Xiaomi Xu, Moe K Zhao, Anne M Andrews, Stephen G Weber

Abstract readLetter
In one paragraph

Article in Analytical chemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Tonic Serotonin MeasurementsAnalytical chemistry · 2021
    Article
  5. Article
  6. Article
  7. Review
  8. Dexamethasone-Enhanced Microdialysis and Penetration Injury.Frontiers in bioengineering and biotechnology · 2020
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

6 authors.

Yansheng Liu
Jing Zhang
Xiaomi Xu
Moe K Zhao
Anne M Andrews
Stephen G Weber

Funding

Serotonin Transporter Kinetics In Vivo by Microdialysis/Capillary UPLCR21MH083134 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WEBER, STEPHEN G. · 2008 to 2009
$417k
NIMH NIH HHS MH083134NIMH NIH HHS R21 MH083134
6 · The paper itself

Abstract

Improving the time resolution in microdialysis coupled to high performance liquid chromatography (HPLC) requires that the volume of the separation system be decreased. A low-volume separation permits smaller microdialysate volumes to be injected without suffering a sensitivity loss from dilution. Thus, improved time resolution can be achieved with offline analysis simply by decreasing the separations system volume. For online (near real-time) analysis, there is a further requirement. The separation speed must be at least as fast as the sampling time. Here, the combined use of high column pressures and temperatures, sub-2-μm stationary phase particles, capillary columns, and sensitive, low dead-volume detection resulted in a retention time for the neurotransmitter serotonin of less than 1 min in a 500 nL dialysate sample volume. Two sensitive detectors, photoluminescence following electron transfer (PFET) and electrochemical, were used for the detection of subnanomolar concentrations of serotonin in brain microdialysate samples. The general principles developed are applicable to a wide range of separations with the additional advantages of increases in sample throughput and decreases in mobile phase usage.

Indexed as

AnimalsBrainChromatography, High Pressure LiquidElectrochemical TechniquesElectron TransportMiceMicrodialysisSerotoninTemperatureSerotonin

Identifiers

PMID21062014
PMCPMC3008768

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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.