Evidence map›Paper›PMID 28192907›Full record

ArticleAnalytical chemistry2017

Automated Trapping Column Exchanger for High-Throughput Nanoflow Liquid Chromatography.

Sandra E Spencer, Thomas N Corso, James G Bollinger, Clark M Henderson, Andrew N Hoofnagle, Michael J MacCoss

Abstract read
In one paragraph

Article in Analytical chemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sandra E SpencerDepartment of Genome Sciences, University of Washington School of Medicine , Box 355065, Seattle, Washington 98195-5065, United States.ORCID 0000-0001-6446-1584
Thomas N CorsoCorSolutions, LLC. , Cornell Business and Technology Park, 95 Brown Road, Box 1007, Ithaca, New York 14850-1294, United States.
James G BollingerDepartment of Genome Sciences, University of Washington School of Medicine , Box 355065, Seattle, Washington 98195-5065, United States.
Clark M HendersonDepartment of Laboratory Medicine, University of Washington School of Medicine , Box 357110, Seattle, Washington 98195-7110, United States.
Andrew N HoofnagleDepartment of Laboratory Medicine, University of Washington School of Medicine , Box 357110, Seattle, Washington 98195-7110, United States.
Michael J MacCossDepartment of Genome Sciences, University of Washington School of Medicine , Box 355065, Seattle, Washington 98195-5065, United States.

Funding

TrainingP41GM103533 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2012 to 2021
$20.7M
Nutrition, Obesity and Atherosclerosis Training ProgramT32HL007028 · NHLBI · UNIVERSITY OF WASHINGTON · PI Karin E Bornfeldt · 1985 to 2026
$6.4M
Self Correcting Nanoflow LC-MS for Clinical ProteomicsR01GM107142 · NIGMS · UNIVERSITY OF WASHINGTON · PI MACCOSS, MICHAEL · 2013 to 2016
$1.5M
Plug-and-Play, Sensor-based, NanoLC/ESI Technology for Proteomics and GlycomicsR44GM103386 · NIGMS · CORSOLUTIONS, LLC · PI VAN PELT, COLLEEN K · 2012 to 2014
$1.2M
Plug-and-Play, Sensor-based, NanoLC/ESI Technology for Proteomics and GlycomicsR44RR024628 · NCRR · CORSOLUTIONS, LLC · PI VAN PELT, COLLEEN K · 2011 to 2011
$400k
NCRR NIH HHS R44 RR024628NHLBI NIH HHS T32 HL007028NIGMS NIH HHS P41 GM103533NIGMS NIH HHS R01 GM107142NIGMS NIH HHS R44 GM103386
6 · The paper itself

Abstract

As compared to conventional high-performance liquid chromatography (HPLC) techniques, nanoflow HPLC exhibits improved sensitivity and limits of detection. However, nanoflow HPLC suffers from low throughput due to instrument failure (e.g., fitting fatigue and trapping column failure), limiting the utility of the technique for clinical and industrial applications. To increase the robustness of nanoflow HPLC, we have developed and tested a trapping column exchanging robot for autonomous interchange of trapping columns. This robot makes reproducible, automated connections between the active trapping column and the rest of the HPLC system. The intertrapping column retention time is shown to be sufficiently reproducible for scheduled selected reaction monitoring assays to be performed on different trapping columns without rescheduling the selection windows.

Indexed as

Amino Acid SequenceAutomationChromatography, High Pressure LiquidComputer-Aided DesignDried Blood Spot TestingHumansNanotechnologyPeptidesReproducibility of ResultsTandem Mass SpectrometryPeptides

Identifiers

PMID28192907
PMCPMC5798597

What OpenQuestion holds

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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.