Evidence map›Paper›PMID 28812356›Full record

ArticleACS sensors2017

Single Molecule Nanopore Spectrometry for Peptide Detection.

Amy E Chavis, Kyle T Brady, Grace A Hatmaker, Christopher E Angevine, Nuwan Kothalawala, Amala Dass, Joseph W F Robertson, Joseph E Reiner

Open access · greenAbstract read
In one paragraph

Article in ACS sensors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
4.6field-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

46 citing papers in PubMed, 96 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

8 authors at 3 institutions in 1 country.

Amy E ChavisDepartment of Physics, Virginia Commonwealth University , Richmond, Virginia 23284, United States.
Kyle T BradyDepartment of Physics, Virginia Commonwealth University , Richmond, Virginia 23284, United States.
Grace A HatmakerDepartment of Physics, Virginia Commonwealth University , Richmond, Virginia 23284, United States.
Christopher E AngevineDepartment of Physics, Virginia Commonwealth University , Richmond, Virginia 23284, United States.
Nuwan KothalawalaDepartment of Chemistry and Biochemistry, University of Mississippi , University, Mississippi 38677, United States.
Amala DassDepartment of Chemistry and Biochemistry, University of Mississippi , University, Mississippi 38677, United States.ORCID http://orcid.org/0000-0001-6942-5451
Joseph W F RobertsonPhysical Measurement Laboratory, National Institute of Standards and Technology , Gaithersburg, Maryland 20899-8120, United States.
Joseph E ReinerDepartment of Physics, Virginia Commonwealth University , Richmond, Virginia 23284, United States.ORCID http://orcid.org/0000-0002-1056-8703
Virginia Commonwealth University · USUniversity of Mississippi · USNational Institute of Standards and Technology · US

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

Sensing and characterization of water-soluble peptides is of critical importance in a wide variety of bioapplications. Single molecule nanopore spectrometry (SMNS) is based on the idea that one can use biological protein nanopores to resolve different sized molecules down to limits set by the blockade duration and noise. Previous work has shown that this enables discrimination between polyethylene glycol (PEG) molecules that differ by a single monomer unit. This paper describes efforts to extend SMNS to a variety of biologically relevant, water-soluble peptides. We describe the use of Au

Indexed as

alpha hemolysinangiotensinAu25(SG)18nanomoleculesneurotensinpeptidesresistive-pulse nanopore sensingthiolate-capped clusters

Identifiers

PMID28812356
PMCPMC11274829
OpenAlexW2748287142

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.