Evidence map›Paper›PMID 34266461›Full record

ReviewPlant methods2021

Raman spectroscopy enables phenotyping and assessment of nutrition values of plants: a review.

William Z Payne, Dmitry Kurouski

Open access · goldAbstract readReview
In one paragraph

Review in Plant methods, 2021. 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
4.5field-weighted citation impact, top 4% 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, 56 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Raman spectroscopy for agricultural applications.Frontiers in plant science · 2025
    Article
  5. Article
  6. Decellularized Persian walnut leaf (Frontiers in bioengineering and biotechnology · 2025
    Article
  7. The "plant neurobiology" revolution.Plant signaling & behavior · 2024
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Rapid discrimination between wild and cultivatedCurrent research in food science · 2024
    Article
  13. Article
  14. Molecules (Basel, Switzerland) · 2023
    Article
  15. Review
  16. Article
  17. Article
  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

2 authors at 1 institution in 1 country.

William Z PayneDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, TX, 77843, USA.
Dmitry KurouskiDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, TX, 77843, USA. dkurouski@tamu.edu.ORCID http://orcid.org/0000-0002-6040-4213
Texas A&M University · US

Funding

Texas A and M University-Central Texas (US) startup funds
6 · The paper itself

Abstract

Our civilization has to enhance food production to feed world's expected population of 9.7 billion by 2050. These food demands can be met by implementation of innovative technologies in agriculture. This transformative agricultural concept, also known as digital farming, aims to maximize the crop yield without an increase in the field footprint while simultaneously minimizing environmental impact of farming. There is a growing body of evidence that Raman spectroscopy, a non-invasive, non-destructive, and laser-based analytical approach, can be used to: (i) detect plant diseases, (ii) abiotic stresses, and (iii) enable label-free phenotyping and digital selection of plants in breeding programs. In this review, we critically discuss the most recent reports on the use of Raman spectroscopy for confirmatory identification of plant species and their varieties, as well as Raman-based analysis of the nutrition value of seeds. We show that high selectivity and specificity of Raman makes this technique ideal for optical surveillance of fields, which can be used to improve agriculture around the world. We also discuss potential advances in synergetic use of RS and already established imaging and molecular techniques. This combinatorial approach can be used to reduce associated time and cost, as well as enhance the accuracy of diagnostics of biotic and abiotic stresses.

Indexed as

Digital farmingNutrition value identificationPhenotypingRaman spectroscopy

Identifiers

PMID34266461
PMCPMC8281483
OpenAlexW3182628243

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.