Evidence map›Paper›PMID 24591723›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2014

Photosynthesis under artificial light: the shift in primary and secondary metabolism.

Eva Darko, Parisa Heydarizadeh, Benoît Schoefs, Mohammad R Sabzalian

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 1 pooled it
–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

104 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
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  10. Speed breeding enhances crop resilience and productivity in a changing climate.Molecular breeding : new strategies in plant improvement · 2025
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Environmental conditions and nutritional quality of vegetables in protected cultivation.Comprehensive reviews in food science and food safety · 2025
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review

44 more citing papers are in PubMed but not listed here.

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

4 authors.

Eva DarkoAgricultural Institute, Centre for Agricultural Research, Hungarian Academy of Sciences, , Martonvásár, Hungary.
Parisa Heydarizadeh
Benoît Schoefs
Mohammad R Sabzalian

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Providing an adequate quantity and quality of food for the escalating human population under changing climatic conditions is currently a great challenge. In outdoor cultures, sunlight provides energy (through photosynthesis) for photosynthetic organisms. They also use light quality to sense and respond to their environment. To increase the production capacity, controlled growing systems using artificial lighting have been taken into consideration. Recent development of light-emitting diode (LED) technologies presents an enormous potential for improving plant growth and making systems more sustainable. This review uses selected examples to show how LED can mimic natural light to ensure the growth and development of photosynthetic organisms, and how changes in intensity and wavelength can manipulate the plant metabolism with the aim to produce functionalized foods.

Indexed as

LightAgricultureEnergy MetabolismLightingModels, BiologicalPhotosynthesisPlant Developmentcontrolled-environment agriculturelight-emitting diodemetabolismmicroalgaephotosynthesis

Identifiers

PMID24591723
PMCPMC3949401

What OpenQuestion holds

Textmetadata
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.