Evidence map›Paper›PMID 26740775›Full record

ArticleBiotechnology, biotechnological equipment2014

Plant pathogen nanodiagnostic techniques: forthcoming changes?

Mohammad A Khiyami, Hassan Almoammar, Yasser M Awad, Mousa A Alghuthaymi, Kamel A Abd-Elsalam

Open access · goldAbstract read
In one paragraph

Article in Biotechnology, biotechnological equipment, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
8.4field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 155 citations in OpenAlex.

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  11. Phytoplasma diseases of plants: molecular diagnostics and way forward.World journal of microbiology & biotechnology · 2021
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  16. A Spellbinding Interplay Between Biological Barcoding and Nanotechnology.Frontiers in bioengineering and biotechnology · 2020
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  18. 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 4 institutions in 2 countries.

Mohammad A KhiyamiKing Abdulaziz City for Science and Technology (KACST) , Riyadh , Saudi Arabia.
Hassan AlmoammarKing Abdulaziz City for Science and Technology (KACST) , Riyadh , Saudi Arabia.
Yasser M AwadDepartment of Agricultural Botany, Faculty of Agriculture, Suez Canal University , Ismailia , Egypt.
Mousa A AlghuthaymiBiology Department, Science and Humanities College, Shaqra University , Alquwayiyah , Saudi Arabia.
Kamel A Abd-ElsalamPlant Pathology Research Institute, Agricultural Research Center (ARC), Giza, Egypt; Unit of Excellence in Nano-Molecular Plant Pathology Research (ARC), Giza, Egypt.
King Abdulaziz City for Science and Technology · SAAgricultural Genetic Engineering Research Institute · EGShaqra University · SASuez Canal University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant diseases are among the major factors limiting crop productivity. A first step towards managing a plant disease under greenhouse and field conditions is to correctly identify the pathogen. Current technologies, such as quantitative polymerase chain reaction (Q-PCR), require a relatively large amount of target tissue and rely on multiple assays to accurately identify distinct plant pathogens. The common disadvantage of the traditional diagnostic methods is that they are time consuming and lack high sensitivity. Consequently, developing low-cost methods to improve the accuracy and rapidity of plant pathogens diagnosis is needed. Nanotechnology, nano particles and quantum dots (QDs) have emerged as essential tools for fast detection of a particular biological marker with extreme accuracy. Biosensor, QDs, nanostructured platforms, nanoimaging and nanopore DNA sequencing tools have the potential to raise sensitivity, specificity and speed of the pathogen detection, facilitate high-throughput analysis, and to be used for high-quality monitoring and crop protection. Furthermore, nanodiagnostic kit equipment can easily and quickly detect potential serious plant pathogens, allowing experts to help farmers in the prevention of epidemic diseases. The current review deals with the application of nanotechnology for quicker, more cost-effective and precise diagnostic procedures of plant diseases. Such an accurate technology may help to design a proper integrated disease management system which may modify crop environments to adversely affect crop pathogens.

Indexed as

diagnosisnanobarcodesnanosensoryquantum dots

Identifiers

PMID26740775
PMCPMC4684063
OpenAlexW2115038848

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.