Evidence map›Paper›PMID 35448299›Full record

ReviewBiosensors2022

Emerging Methods of Monitoring Volatile Organic Compounds for Detection of Plant Pests and Disease.

Samantha MacDougall, Fatih Bayansal, Ali Ahmadi

Abstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Cr-Doped Nanocrystalline TiOInternational journal of molecular sciences · 2025
    Article
  10. Review
  11. Article
  12. FTA-LAMP based biosensor for a rapid in-field detection ofFrontiers in bioengineering and biotechnology · 2024
    Article
  13. Review
  14. Review
  15. Review
  16. Volatile Organic Compounds: A Promising Tool for Bed Bug Detection.International journal of environmental research and public health · 2023
    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

3 authors.

Samantha MacDougallFaculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, PE C1A 4P3, Canada.ORCID 0000-0003-4720-0010
Fatih BayansalDepartment of Metallurgy and Materials Engineering, Iskenderun Technical University, Hatay TR-31200, Turkey.ORCID 0000-0001-9600-007X
Ali AhmadiFaculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, PE C1A 4P3, Canada.ORCID 0000-0003-0498-2235

Funding

Canada Foundation for Innovation Project 37696Natural Sciences and Engineering Research Council 498310
6 · The paper itself

Abstract

Each year, unwanted plant pests and diseases, such as Hendel or potato soft rot, cause damage to crops and ecosystems all over the world. To continue to feed the growing population and protect the global ecosystems, the surveillance and management of the spread of these pests and diseases are crucial. Traditional methods of detection are often expensive, bulky and require expertise and training. Therefore, inexpensive, portable, and user-friendly methods are required. These include the use of different gas-sensing technologies to exploit volatile organic compounds released by plants under stress. These methods often meet these requirements, although they come with their own set of advantages and disadvantages, including the sheer number of variables that affect the profile of volatile organic compounds released, such as sensitivity to environmental factors and availability of soil nutrients or water, and sensor drift. Furthermore, most of these methods lack research on their use under field conditions. More research is needed to overcome these disadvantages and further understand the feasibility of the use of these methods under field conditions. This paper focuses on applications of different gas-sensing technologies from over the past decade to detect plant pests and diseases more efficiently.

Indexed as

Solanum tuberosumVolatile Organic CompoundsCrops, AgriculturalEcosystemVolatile Organic Compoundsbiosecurityelectronic nosegas sensingpest detectionplant diseasevolatile organic compounds

Identifiers

PMID35448299
PMCPMC9025064

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.