Evidence map›Paper›PMID 39519877›Full record

ArticlePlants (Basel, Switzerland)2024

Effects of Different LED Spectra on the Antioxidant Capacity and Nitrogen Metabolism of Chinese Cabbage (

Jie Li, Yubing Liu, Junwei Wang, Mingyue Liu, Yanling Li, Jingyuan Zheng

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Jie LiInstitute of Vegetables, Hunan Academy of Agricultural Sciences, Changsha 410125, China.ORCID 0000-0002-1874-9816
Yubing LiuCollege of Horticulture, Hunan Agricultural University, Changsha 410128, China.
Junwei WangCollege of Horticulture, Hunan Agricultural University, Changsha 410128, China.
Mingyue LiuCollege of Horticulture, Hunan Agricultural University, Changsha 410128, China.
Yanling LiInstitute of Vegetables, Hunan Academy of Agricultural Sciences, Changsha 410125, China.
Jingyuan ZhengInstitute of Vegetables, Hunan Academy of Agricultural Sciences, Changsha 410125, China.

Funding

China Agriculture Research System CARS-23-B14Hunan Agricultural Science and Technology Innovation Fund Project 2024CX89Hunan Provincial Natural Science Fund 2024JJ6281
6 · The paper itself

Abstract

Light quality optimization is a cost-effective method for increasing leafy vegetable quality in plant factories. Light-emitting diodes (LEDs) that enable the precise modulation of light quality were used in this study to examine the effects of red-blue (RB), red-blue-green (RBG), red-blue-purple (RBP), and red-blue-far-red (RBF) lights on the growth, antioxidant capacity, and nitrogen metabolism of Chinese cabbage leaves, while white light served as the control (CK). Results showed that the chlorophyll, carotenoid, vitamin C, amino acid, total flavonoid, and antioxidant levels of Chinese cabbage were all significantly increased under RBP combined light treatment. Meanwhile, RBG combined light treatment significantly increased the levels of amino acids but decreased the nitrite content of Chinese cabbage. In addition, RBF combined light treatment remarkably increased the amino acid levels but decreased the antioxidant capacity of Chinese cabbage. In conclusion, the addition of purple light to red-blue light was effective in improving the nutritional value and antioxidant capacity of Chinese cabbage. This light condition can be used as a model for a supplemental lighting strategy for leafy vegetables in plant factory production.

Indexed as

antioxidant enzymegrowth and developmentLED light combinationnitrogen metabolism

Identifiers

PMID39519877
PMCPMC11548317

What OpenQuestion holds

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LicenceCC BY
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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.