Evidence map›Paper›PMID 25255102›Full record

ArticleJournal of the American Chemical Society2014

Large-scale detection of metals with a small set of fluorescent DNA-like chemosensors.

Lik Hang Yuen, Raphael M Franzini, Samuel S Tan, Eric T Kool

Erratum issuedAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 57 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Luminescent Carbon Dot Mimics Assembled on DNA.Journal of the American Chemical Society · 2017
    Article
  5. Color-Change Photoswitching of an Alkynylpyrene Excimer Dye.Angewandte Chemie (International ed. in English) · 2017
    Article
  6. Article
  7. Article
  8. Spinach RNA aptamer detects lead(II) with high selectivity.Chemical communications (Cambridge, England) · 2015
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Lik Hang YuenDepartment of Chemistry, Stanford University , Stanford, California 94305, United States.
Raphael M Franzini
Samuel S Tan
Eric T Kool
Stanford University · US

Funding

POLYFLUOROPHORES ASSEMBLED ON A DNA SCAFFOLDR01GM067201 · NIGMS · STANFORD UNIVERSITY · PI KOOL, ERIC T. · 2003 to 2011
$2.2M
DNA-carbon Assemblies for Multispectral ImagingR01GM106067 · NIGMS · STANFORD UNIVERSITY · PI KOOL, ERIC T. · 2014 to 2017
$1.2M
NIGMS NIH HHS GM106067NIGMS NIH HHS R01 GM067201NIGMS NIH HHS R01 GM067201)NIGMS NIH HHS R01 GM106067
6 · The paper itself

Abstract

An important advantage of pattern-based chemosensor sets is their potential to detect and differentiate a large number of analytes with only few sensors. Here we test this principle at a conceptual limit by analyzing a large set of metal ion analytes covering essentially the entire periodic table, employing fluorescent DNA-like chemosensors on solid support. A tetrameric "oligodeoxyfluoroside" (ODF) library of 6561 members containing metal-binding monomers was screened for strong responders to 57 metal ions in solution. Our results show that a set of 9 chemosensors could successfully discriminate the 57 species, including alkali, alkaline earth, post-transition, transition, and lanthanide metals. As few as 6 ODF chemosensors could detect and differentiate 50 metals at 100 μM; sensitivity for some metals was achieved at midnanomolar ranges. A blind test with 50 metals further confirmed the discriminating power of the ODFs.

Indexed as

Fluorescent DyesMetals, HeavyMolecular StructureFluorescent DyesMetals, Heavy

Identifiers

PMID25255102
PMCPMC4210079
OpenAlexW2333427263

What OpenQuestion holds

Textmetadata
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.