Evidence map›Paper›PMID 32824390›Full record

ArticlePlants (Basel, Switzerland)2020

Effect of Ultraviolet C Irradiation on Isoflavone Concentrations in Different Cultivars of Soybean (

Krishna Bahadur Karki, Awdhesh Kumar Mishra, Seong-Jin Choi, Kwang-Hyun Baek

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Transcriptome Responses of WildPlants (Basel, Switzerland) · 2022
    Article
  4. 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

4 authors at 3 institutions in 2 countries.

Krishna Bahadur KarkiResearch and Development Society, Kathmandu 4179, Nepal.
Awdhesh Kumar MishraDepartment of Biotechnology, Yeungnam University, Gyeongsan, Gyeongbuk 38541, Korea.ORCID 0000-0002-3312-3264
Seong-Jin ChoiDepartment of Biotechnology, Catholic University of Daegu, Gyeongsan 38430, Korea.
Kwang-Hyun BaekDepartment of Biotechnology, Yeungnam University, Gyeongsan, Gyeongbuk 38541, Korea.
Yeungnam University · KRDaegu Catholic University · KRNepal Development Research Institute · NP

Funding

National Research Foundation of Korea NRF-2019R1F1A1052625
6 · The paper itself

Abstract

Phytoestrogens are naturally occurring plant polyphenolic compounds present in high concentrations in soybean products. Phytoestrogens are divided into three classes: lignans, isoflavones, and coumestans. Nine types of glycoside isoflavones and three types of aglycoside isoflavones are reported in soybean. Soy isoflavones can reduce the risk of a certain type of cancer, cardiovascular problems, osteoporosis, and menopausal symptoms. We irradiated the leaves of five cultivars of soybean with UV-C (260 nm) and determined the effect on concentrations of isoflavone compounds using liquid chromatography-mass spectrometry (LC-MS). Isoflavone concentrations were significantly higher following irradiation, particularly in the cultivar Daepung, which was selected as the best cultivar for high isoflavone induction with UV-C irradiation. Further experimentation with the cultivar Daepung revealed that 20 min UV-C irradiation was the best treatment for the induction of aglycone compounds, and 5 min with the dorsal surface facing the UV-C irradiation source was the best treatment for the induction of glycoside isoflavone compounds.

Indexed as

Glycine maxinductionirradiationisoflavonephytoestrogenUV-C

Identifiers

PMID32824390
PMCPMC7464170
OpenAlexW3049130754

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.