A Review on Recent Advances in Plant Pathogen Detection Systems
SSRN, ISSN: 1556-5068
2022
- 1Citations
- 579Usage
- 1Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Worldwide, a substantial economic loss in agricultural products is caused by plant pathogens. The increased losses in agriculture has drawn attention towards development of miniaturized pathogen detection systems for phytopathology. The major highlight of this review paper substantiates recent work (2015-2020) and advances in the development of portable devices and technologies for plant pathogen detection. In detail, the paper reports important advancements in loop-mediated isothermal amplification (LAMP) assay, digital droplet PCR, microfluidics, Molecular Imprinted Polymer (MIP) based biosensors, disposable all-printed electronics and nanoparticle-based sensors for instantaneous detection in agricultural applications. Another important aspect covered is the use of nanoparticles in detection of agricultural pathogens. A brief on various commercially available detection systems worldwide has been listed. Finally, we discuss the perspective in the development of portable miniaturized systems and novel assay technologies based on advanced nanomaterials. Gold standard techniques: Polymerase Chain Reaction (PCR) and culture counting have been used extensively for plant pathogen detection, however, they are expensive, require well-equipped laboratories, not user friendly, and are not suited for on-field measurements. These recent trends are overtaking the traditional methods in Agri-diagnostics because of their superior performances and suitability for the task.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85179536864&origin=inward; http://dx.doi.org/10.2139/ssrn.4071644; https://www.ssrn.com/abstract=4071644; https://dx.doi.org/10.2139/ssrn.4071644; https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4071644; https://ssrn.com/abstract=4071644
Elsevier BV
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