Evidence map›Paper›PMID 27935676›Full record

ArticleAnalytical chemistry2017

Calibrant-Free Analyte Quantitation via a Variable Velocity Flow Cell.

Jason G Beck, Aleksander Skuratovsky, Michael C Granger, Marc D Porter

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Jason G BeckDepartment of Chemistry, University of Utah , Salt Lake City, Utah 84112, United States.
Aleksander SkuratovskyDepartment of Chemical Engineering, University of Utah , Salt Lake City, Utah 84112, United States.
Michael C GrangerDepartment of Chemical Engineering, University of Utah , Salt Lake City, Utah 84112, United States.ORCID 0000-0002-2385-6413
Marc D PorterDepartment of Chemistry, University of Utah , Salt Lake City, Utah 84112, United States.

Funding

Magnetoresistive Sensor Platform for Parallel Cancer Marker DetectionU01CA151650 · NCI · UNIVERSITY OF UTAH · PI MULVIHILL, SEAN J, PORTER, MARC D · 2010 to 2014
$2.1M
Advanced Development of a Multiplexed SERS-based Biomarker Detection Platform: AR33CA155586 · NCI · UNIVERSITY OF UTAH · PI MULVIHILL, SEAN J, PORTER, MARC D · 2011 to 2013
$983k
Real-time Internal Calibration for Multiplexed Microarray AnalysisR21EB016925 · NIBIB · UNIVERSITY OF UTAH · PI PORTER, MARC D · 2013 to 2014
$404k
NCI NIH HHS R33 CA155586NCI NIH HHS U01 CA151650NIBIB NIH HHS R21 EB016925
6 · The paper itself

Abstract

In this paper, we describe a novel method for analyte quantitation that does not rely on calibrants, internal standards, or calibration curves but, rather, leverages the relationship between disparate and predictable surface-directed analyte flux to an array of sensing addresses and a measured resultant signal. To reduce this concept to practice, we fabricated two flow cells such that the mean linear fluid velocity, U, was varied systematically over an array of electrodes positioned along the flow axis. This resulted in a predictable variation of the address-directed flux of a redox analyte, ferrocenedimethanol (FDM). The resultant limiting currents measured at a series of these electrodes, and accurately described by a convective-diffusive transport model, provided a means to calculate an "unknown" concentration without the use of calibrants, internal standards, or a calibration curve. Furthermore, the experiment and concentration calculation only takes minutes to perform. Deviation in calculated FDM concentrations from true values was minimized to less than 0.5% when empirically derived values of U were employed.

Indexed as

AlgorithmsCalibrationDiffusionElectricityElectrochemical TechniquesElectrodesEquipment DesignFerrous CompoundsferrocenemethanolFerrous Compounds

Identifiers

PMID27935676
PMCPMC5309138

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.