Evidence map›Paper›PMID 24039151›Full record

ArticleJournal of separation science2013

Capillary liquid chromatography fraction collection and postcolumn reaction using segmented flow microfluidics.

Jing Nie, Robert T Kennedy

Abstract read
In one paragraph

Article in Journal of separation science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Jing NieDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA.
Robert T Kennedy

Funding

MICROELECTRODE AND MICRODIALYSIS-BASED INSULIN SENSORSR01DK046960 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KENNEDY, ROBERT T · 1993 to 2020
$3.3M
Design and Use of Methods for Peptide Secretion Studies - Diversity SupplementR37DK046960 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KENNEDY, ROBERT T · 2006 to 2015
$3.0M
High throughput mass spectrometry and electrophoresis assay systemsR01GM102236 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KENNEDY, ROBERT T · 2012 to 2015
$1.1M
NIDDK NIH HHS DK046960NIGMS NIH HHS GM102236NIGMS NIH HHS R01 GM102236
6 · The paper itself

Abstract

A challenge for capillary LC (cLC) is fraction collection and the manipulation of fractions from microscale columns. An emerging approach is the use of segmented flow or droplet technology to perform such tasks. In this work, a fraction collection and postcolumn reaction system based on segmented flow was developed for the gradient cLC of proteins. In the system, column effluent and immiscible oil are pumped into separate arms of a tee resulting in regular fractions of effluent segmented by oil. Fractions were generated at 1 Hz corresponding to 5 nL volumes. The fraction collection rate was high enough to generate over 30 fractions per peak and preserve chromatographic resolution achieved for a five-protein test mixture. The resulting fractions could be stored and subsequently derivatized for fluorescence detection by pumping them into a second tee where naphthalene dicarboxyaldehyde, a fluorogenic reagent, was pumped into a second arm and added to each fraction. Proteins were derivatized within the droplets enabling postcolumn fluorescence detection of the proteins. The experiments demonstrate that fraction collection from cLC by segmented flow can be extended to proteins. Further, they illustrate a potential workflow for protein analysis based on postcolumn derivatization for fluorescence detection.

Indexed as

Microfluidic Analytical TechniquesAdsorptionChromatography, LiquidKineticsParticle SizeProteinsSurface PropertiesProteinsCapillary liquid chromatographyPostcolumn derivatizationProtein separationSegmented flow microfluidics

Identifiers

PMID24039151
PMCPMC5641422

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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.