Evidence map›Paper›PMID 30155094›Full record

ArticleChemical science2016

Supercoiled fibres of self-sorted donor-acceptor stacks: a turn-off/turn-on platform for sensing volatile aromatic compounds.

Anjamkudy Sandeep, Vakayil K Praveen, Kalathil K Kartha, Venugopal Karunakaran, Ayyappanpillai Ajayaghosh

Open access · diamondAbstract read
In one paragraph

Article in Chemical science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
15.1field-weighted citation impact, top 1% 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

14 citing papers in PubMed, 97 citations in OpenAlex.

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  7. Self-assembly of an oligo(RSC advances · 2018
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  9. Transforming aACS omega · 2018
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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

5 authors at 1 institution in 2 countries.

Anjamkudy SandeepPhotosciences and Photonics Section , Chemical Sciences and Technology Division , CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST) , Thiruvananthapuram 695 019 , India . Email: ajayaghosh@niist.res.in.
Vakayil K PraveenPhotosciences and Photonics Section , Chemical Sciences and Technology Division , CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST) , Thiruvananthapuram 695 019 , India . Email: ajayaghosh@niist.res.in.ORCID 0000-0002-5407-9901
Kalathil K KarthaPhotosciences and Photonics Section , Chemical Sciences and Technology Division , CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST) , Thiruvananthapuram 695 019 , India . Email: ajayaghosh@niist.res.in.ORCID 0000-0003-1868-4255
Venugopal KarunakaranPhotosciences and Photonics Section , Chemical Sciences and Technology Division , CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST) , Thiruvananthapuram 695 019 , India . Email: ajayaghosh@niist.res.in.
Ayyappanpillai AjayaghoshPhotosciences and Photonics Section , Chemical Sciences and Technology Division , CSIR-National Institute for Interdisciplinary Science and Technology (CSIR-NIIST) , Thiruvananthapuram 695 019 , India . Email: ajayaghosh@niist.res.in.
National Institute for Interdisciplinary Science and Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To ensure the comfortable survival of living organisms, detection of different life threatening volatile organic compounds (VOCs) such as biological metabolites and carcinogenic molecules is of prime importance. Herein, we report the use of supercoiled supramolecular polymeric fibres of self-sorted donor-acceptor molecules as "turn-off/turn-on" fluorescent sensors for the detection of carcinogenic VOCs. For this purpose, a

Identifiers

PMID30155094
PMCPMC6014296
OpenAlexW2312070237

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.