Evidence map›Paper›PMID 41008255›Full record

ArticleFoods (Basel, Switzerland)2025

Effect of Selenium Fortification on Growth Performance and Nutritional Compounds of Kale (

Xiu-Ying Zeng, Han Liao, Le-Cheng Shen, Qi Zou, Ting-Ting Lv, Mei Wang, Xiao-Yin Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Xiu-Ying ZengGanzhou General Inspection and Testing Institute, China National Quality and Inspection Center for Se-Rich and Camellia Oleifera Products (Jiangxi), Ganzhou 341000, China.
Han LiaoGanzhou General Inspection and Testing Institute, China National Quality and Inspection Center for Se-Rich and Camellia Oleifera Products (Jiangxi), Ganzhou 341000, China.
Le-Cheng ShenGanzhou General Inspection and Testing Institute, China National Quality and Inspection Center for Se-Rich and Camellia Oleifera Products (Jiangxi), Ganzhou 341000, China.
Qi ZouSchool of Public Health and Health Management, Gannan Medical University, Ganzhou 341000, China.
Ting-Ting LvGanzhou General Inspection and Testing Institute, China National Quality and Inspection Center for Se-Rich and Camellia Oleifera Products (Jiangxi), Ganzhou 341000, China.
Mei WangGanzhou General Inspection and Testing Institute, China National Quality and Inspection Center for Se-Rich and Camellia Oleifera Products (Jiangxi), Ganzhou 341000, China.
Xiao-Yin WangSchool of Public Health and Health Management, Gannan Medical University, Ganzhou 341000, China.ORCID 0000-0001-9361-7365

Funding

Science and Technology Innovation Talent Project in Ganzhou 2022CXRC9540University-Level Scientific Research Projects of Gannan Medical University QD201913, QD202128, TD202313 & TD202313-1
6 · The paper itself

Abstract

This study aims to investigate the effects of selenium (Se) fortification on growth performance and the Se content in kale using Se fertilizer, and it determines the influences of Se fortification on the metabolic profile of kale using quasi-targeted metabolomics. The results showed that Se fortification increased the plant height and leaf weight of kale, up-regulated the total Se content and decreased the chlorophyll and total phenolic contents in kale leaf. Se fortification elevated selenate (Se(IV)), selenite (Se(VI)), selenocystine (SeCys

Indexed as

bioactive compoundscorrelationquasi-targeted metabolomicsSe-enriched vegetableselenium speciation

Identifiers

PMID41008255
PMCPMC12469545

What OpenQuestion holds

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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.