Evidence map›Paper›PMID 24354006›Full record

ArticleJournal of chromatography. A2013

A microchip electrophoresis-mass spectrometric platform for fast separation and identification of enantiomers employing the partial filling technique.

Xiangtang Li, Dan Xiao, Xiao-Ming Ou, Cassandra McCullm, Yi-Ming Liu

Abstract readEvaluation Study
In one paragraph

Article in Journal of chromatography. A, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 38 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Xiangtang Li
Dan Xiao
Xiao-Ming Ou
Cassandra McCullm
Yi-Ming Liu
Jackson State University · USSichuan University · CNJackson Memorial Hospital · US

Funding

Microfluidic mass spectrometry based fast chemical characterization of exosomesSC1GM089557 · NIGMS · JACKSON STATE UNIVERSITY · PI LIU, YIMING · 2010 to 2018
$1.4M
NIGMS NIH HHS GM089557NIGMS NIH HHS SC1 GM089557
6 · The paper itself

Abstract

A microchip electrophoresis-mass spectrometric (MCE-MS) method was developed for fast chiral analysis. The proposed MCE-MS platform deployed a glass/PDMS hybrid microchip with an easy-to-fabricate monolithic nanoelectrospray emitter. Enantiomeric MCE separation was achieved by means of the partial filling technique. A novel chip design with an arm channel connecting to the middle of the MCE separation channel for delivering the chiral selector was tested and proven valid. Enantiomeric separation of3.4-dihydroxyphenylalanine (DOPA), glutamic acid (Glu), and serine (Ser), the selected test compounds,were achieved within 130 s with resolution values (R(s)) of 2.4, 1.1, and 1.0, respectively. The proposed chiral MCE-MS assay was sensitive and had detection limits of 43 nM for l-DOPA and 47 nM for d-DOPA.The analytical platform was well suited for studies of stereochemical preference in living cells because it integrated cell culture, sample injection, chiral separation, and MS detection into a single platform.Metabolism of DOPA in human SH-SY5Y neuronal cells was studied as a model system. On-chip incubation of SH-SY5Y cells with racemic DOPA was carried out, and the incubation solution was injected and in-line assayed at time intervals. It was found that l-DOPA concentration decreased gradually as incubation time increased while the concentration of coexisting d-DOPA remained constant. The results firmly indicated that SH-SY5Y cells metabolized l-DOPA effectively while left d-DOPA intact.

Indexed as

Cell LineCellsDihydroxyphenylalanineElectrophoresis, MicrochipGlutamic AcidHumansMass SpectrometrySerineStereoisomerismDihydroxyphenylalanineGlutamic AcidSerine

Identifiers

PMID24354006
PMCPMC4097118
OpenAlexW1983582047

What OpenQuestion holds

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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.