Evidence map›Paper›PMID 30140672›Full record

ArticleFrontiers in chemistry2018

Colorimetric Detection of Uranyl Using a Litmus Test.

Sepehr Manochehry, Erin M McConnell, Kha Q Tram, Joseph Macri, Yingfu Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

5 authors at 2 institutions in 1 country.

Sepehr ManochehryDepartment of Biochemistry and Biomedical Sciences, McMaster University Hamilton, ON, Canada.
Erin M McConnellDepartment of Biochemistry and Biomedical Sciences, McMaster University Hamilton, ON, Canada.
Kha Q TramDepartment of Chemistry and Chemical Biology, McMaster University Hamilton, ON, Canada.
Joseph MacriDepartment of Pathology and Molecular Medicine, McMaster University Hamilton, ON, Canada.
Yingfu LiDepartment of Biochemistry and Biomedical Sciences, McMaster University Hamilton, ON, Canada.
McMaster University · CAHamilton Regional Laboratory Medicine Program · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ingestion of water containing toxic contaminants above levels deemed safe for human consumption can occur unknowingly since numerous common contaminants in drinking water are colorless and odorless. Uranyl is particularly problematic as it has been found at dangerous levels in sources of drinking water. Detection of this heavy metal-ion species in drinking water currently requires sending a sample to a laboratory where trained personnel use equipment to perform the analysis and turn-around times can be long. A pH-responsive colorimetric biosensor was developed to enable detection of uranyl in water which coupled the uranyl-specific 39E DNAzyme as a recognition element, and an enzyme capable of producing a pH change as the reporter element. The rapid colorimetric assay presented herein can detect uranyl in lake and well water at concentrations relevant for environmental monitoring, as demonstrated by the detection of uranyl at levels below the limits set for drinking water by major regulatory agencies including the World Health Organization (30 μg/L). This simple and inexpensive DNAzyme-based assay enabled equipment-free visual detection of 15 μg/L uranyl, using both solution-based and paper-based pH-dependent visualization strategies.

Indexed as

biosensorcolorimetric detectionDNAzymelitmus testuranyl

Identifiers

PMID30140672
PMCPMC6095041
OpenAlexW2885874218

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.