Evidence map›Paper›PMID 30120328›Full record

ArticleScientific reports2018

Immuno-impedimetric Biosensor for Onsite Monitoring of Ascospores and Forecasting of Sclerotinia Stem Rot of Canola.

Lian C T Shoute, Afreen Anwar, Scott MacKay, Gaser N Abdelrasoul, Donghai Lin, Zhimin Yan, Anh H Nguyen, Mark T McDermott, Manzoor A Shah, Jian Yang and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

12 authors.

Lian C T ShouteDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada.
Afreen AnwarDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada.
Scott MacKayDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada.
Gaser N AbdelrasoulDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada.
Donghai LinDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada.
Zhimin YanNational Institute for Nanotechnology, National Research Council, Edmonton, AB, T6G 2M9, Canada.
Anh H NguyenDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada.
Mark T McDermottNational Institute for Nanotechnology, National Research Council, Edmonton, AB, T6G 2M9, Canada.
Manzoor A ShahDepartment of Botany, University of Kashmir, Srinagar, 190006, J&K, India.
Jian YangInnoTech Alberta, Vegreville, AB, T9C 1T4, Canada.
Jie ChenDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada.
Xiujie S LiInnoTech Alberta, Vegreville, AB, T9C 1T4, Canada. susie.li@innotechalberta.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sclerotinia stem rot, caused by the fungal pathogen Sclerotinia sclerotiorum, is a destructive disease of canola and many other broadleaf crops. The primary inoculum responsible for initiating Sclerotinia epidemics is airborne ascospores released from the apothecia of sclerotia. Timely detection of the presence of airborne ascospores can serve as an early-warning system for forecasting and management of the disease. A major challenge is to develop a portable and automated device which can be deployed onsite to detect and quantify the presence of minute quantities of ascospores in the air and serves as a unit in a network of systems for forecasting of the epidemic. In this communication, we present the development of an impedimetric non-Faradaic biosensor based on anti-S. sclerotiorum polyclonal antibodies as probes to selectively capture the ascospores and sense their binding by an impedance based interdigitated electrode which was found to directly and unambiguously correlate the number of ascospores on sensor surface with the impedance response.

Indexed as

Biosensing TechniquesAscomycotaColony Count, MicrobialElectric ImpedanceImmunoassayOptical ImagingPlant DiseasesPlant RootsSpores, Fungal

Identifiers

PMID30120328
PMCPMC6098051

What OpenQuestion holds

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LicenceCC BY
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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.