Evidence map›Paper›PMID 42209913›Full record

ArticleJournal of fluorescence2026

Synthesis of Rare-Earth Ion-Doped Polynuclear Organic Ligand Transilluminants for Enhanced Maize Growth: Fluorescence Conversion and Accelerated Maturation.

Fan Yining, Guo Bo, Dong Boru, Liu Jialei

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of fluorescence, 2026. 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

4 authors.

Fan YiningInstitute of Environment and Sustainable Development in Agriculture/Key Laboratory of Agricultural Film Pollution Prevention and Control, Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Guo BoInstitute of Environment and Sustainable Development in Agriculture/Key Laboratory of Agricultural Film Pollution Prevention and Control, Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Dong BoruInstitute of Environment and Sustainable Development in Agriculture/Key Laboratory of Agricultural Film Pollution Prevention and Control, Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
Liu JialeiInstitute of Environment and Sustainable Development in Agriculture/Key Laboratory of Agricultural Film Pollution Prevention and Control, Ministry of Agriculture and Rural Affairs, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. liujialei@caas.cn.

Funding

National Key Research and Development Program of China 2023YFD2202104 and 2021YFD1700700Science and technology project of Xinjiang Uygur Autonomous Region 2022B02033-3 and 2022B02049-3-3
6 · The paper itself

Abstract

A novel agricultural film, called light conversion film, has been developed to enhance the agricultural environment by regulating light, temperature, and humidity. Enhancing the ultraviolet (UV) absorption and durability of light conversion agents is crucial for meeting agricultural requirements.In this work, a light conversion mulch film (denoted as LM) was fabricated by incorporating the synthetic light conversion agent LTTF [Eu(TTA)₃(TPPO)(Phen)] into polyethylene (PE) matrix. The LTTF complex was synthesized with Eu

Indexed as

EuropiumOrganometallic CompoundsZea maysFluorescenceLigandsTemperatureEuropiumLigandsOrganometallic CompoundsEu3+ incorporated organic complexLight conversion agentsLight conversion efficiencyLight conversion filmMaize yield

Identifiers

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.