Evidence map›Paper›PMID 27869726›Full record

ArticleSensors (Basel, Switzerland)2016

Highly Sensitive and Practical Detection of Plant Viruses via Electrical Impedance of Droplets on Textured Silicon-Based Devices.

Marianna Ambrico, Paolo Francesco Ambrico, Angelantonio Minafra, Angelo De Stradis, Danilo Vona, Stefania R Cicco, Fabio Palumbo, Pietro Favia, Teresa Ligonzo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
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

9 authors.

Marianna AmbricoCNR NANOTEC-Istituto di Nanotecnologia, Via Amendola 122, Bari 70126, Italy. marianna.ambrico@cnr.it.
Paolo Francesco AmbricoCNR NANOTEC-Istituto di Nanotecnologia, Via Amendola 122, Bari 70126, Italy. paolofrancesco.ambrico@cnr.it.
Angelantonio MinafraCNR IPSP-Istituto per la Protezione Sostenibile delle Piante, UoS Bari, Via Amendola 165, Bari 70126, Italy. angelantonio.minafra@ipsp.cnr.it.
Angelo De StradisCNR IPSP-Istituto per la Protezione Sostenibile delle Piante, UoS Bari, Via Amendola 165, Bari 70126, Italy. angelo.destradis@ipsp.cnr.it.
Danilo VonaDipartimento di Chimica, Università degli Studi di Bari, Via Orabona 4, Bari 70125, Italy. danilo.vona@gmail.com.
Stefania R CiccoCNR ICCOM-Istituto di Chimica dei Composti OrganoMetallici, Via Orabona 4, Bari 70125, Italy. cicco@ba.iccom.cnr.it.
Fabio PalumboCNR NANOTEC-Istituto di Nanotecnologia, Via Amendola 122, Bari 70126, Italy. fabio.palumbo@cnr.it.
Pietro FaviaDipartimento di Chimica, Università degli Studi di Bari, Via Orabona 4, Bari 70125, Italy. pietro.favia@uniba.it.
Teresa LigonzoDipartimento Interateneo di Fisica, Università degli Studi di Bari, Via Orabona 4, Bari 70125, Italy. ligonzo@fisica.uniba.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis of plant virus infections before the disease symptoms appearance may represent a significant benefit in limiting disease spread by a prompt application of appropriate containment steps. We propose a label-free procedure applied on a device structure where the electrical signal transduction is evaluated via impedance spectroscopy techniques. The device consists of a droplet suspension embedding two representative purified plant viruses i.e.,

Indexed as

Electric ImpedanceHydrophobic and Hydrophilic InteractionsPlant VirusesSiliconTobamovirusSilicondroplet-based deviceEISlabel-free detectionplant virusessurface texturingToMVTYMV

Identifiers

PMID27869726
PMCPMC5134605

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.