Evidence map›Paper›PMID 34684285›Full record

ArticlePathogens (Basel, Switzerland)2021

The Application of Terahertz Time-Domain Spectroscopy to Identification of Potato Late Blight and Fusariosis.

Nikita V Penkov, Mikhail V Goltyaev, Maxim E Astashev, Dmitry A Serov, Maxim N Moskovskiy, Dmitriy O Khort, Sergey V Gudkov

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

7 authors.

Nikita V PenkovInstitute of Cell Biophysics RAS, Federal Research Center "Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences", 142290 Pushchino, Russia.ORCID 0000-0003-2212-5640
Mikhail V GoltyaevInstitute of Cell Biophysics RAS, Federal Research Center "Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences", 142290 Pushchino, Russia.
Maxim E AstashevProkhorov General Physics Institute of the Russian Academy of Sciences, 119991 Moscow, Russia.
Dmitry A SerovInstitute of Cell Biophysics RAS, Federal Research Center "Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences", 142290 Pushchino, Russia.ORCID 0000-0002-6049-5602
Maxim N MoskovskiyFederal State Budgetary Scientific Institution "Federal Scientific Agroengineering Center VIM", 109428 Moscow, Russia.ORCID 0000-0001-5727-8706
Dmitriy O KhortFederal State Budgetary Scientific Institution "Federal Scientific Agroengineering Center VIM", 109428 Moscow, Russia.
Sergey V GudkovProkhorov General Physics Institute of the Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-8814-6906

Funding

Ministry of Science and Higher Education of the Russian Federation 075-15-2020-774
6 · The paper itself

Abstract

Fusarium and late blight (fungal diseases of cereals and potatoes) are among the main causes of crop loss worldwide. A key element of success in the fight against phytopathogens is the timely identification of infected plants and seeds. That is why the development of new methods for identifying phytopathogens is a priority for agriculture. The terahertz time-domain spectroscopy (THz-TDS) is a promising method for assessing the quality of materials. For the first time, we used THz-TDS for assessing the infection of seeds of cereals (oats, wheat and barley) with fusarium and potato tubers of different varieties (Nadezhda and Meteor) with late blight. We evaluated the refractive index, absorption coefficient and complex dielectric permittivity in healthy and infected plants. The presence of phytopathogens on seeds was confirmed by microscopy and PCR. It is shown, that Late blight significantly affected all the studied spectral characteristics. The nature of the changes depended on the variety of the analyzed plants and the localization of the analyzed tissue relative to the focus of infection. Fusarium also significantly affected all the studied spectral characteristics. It was found that THz-TDS method allows you to clearly establish the presence or absence of a phytopathogens, in the case of late blight, to assess the degree and depth of damage to plant tissues.

Indexed as

food safetyfusariosispotato late blightterahertz time-domain spectroscopy

Identifiers

PMID34684285
PMCPMC8537707

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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.