Evidence map›Paper›PMID 39056631›Full record

ArticleBiosensors2024

CLICK-FLISA Based on Metal-Organic Frameworks for Simultaneous Detection of Fumonisin B1 (FB1) and Zearalenone (ZEN) in Maize.

Jingyang Zhang, Banglei Zhu, Xiaoyu Zhang, Yuan Peng, Shuang Li, Dianpeng Han, Shuyue Ren, Kang Qin, Yu Wang, Huanying Zhou and 1 more

Abstract read
In one paragraph

Article in Biosensors, 2024. 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

11 authors.

Jingyang ZhangMilitary Medical Sciences Academy, Academy of Military Sciences, Tianjin 300050, China.
Banglei ZhuMilitary Medical Sciences Academy, Academy of Military Sciences, Tianjin 300050, China.ORCID 0009-0009-0443-0765
Xiaoyu ZhangMilitary Medical Sciences Academy, Academy of Military Sciences, Tianjin 300050, China.
Yuan PengMilitary Medical Sciences Academy, Academy of Military Sciences, Tianjin 300050, China.
Shuang LiMilitary Medical Sciences Academy, Academy of Military Sciences, Tianjin 300050, China.
Dianpeng HanMilitary Medical Sciences Academy, Academy of Military Sciences, Tianjin 300050, China.
Shuyue RenMilitary Medical Sciences Academy, Academy of Military Sciences, Tianjin 300050, China.
Kang QinMilitary Medical Sciences Academy, Academy of Military Sciences, Tianjin 300050, China.
Yu WangMilitary Medical Sciences Academy, Academy of Military Sciences, Tianjin 300050, China.
Huanying ZhouMilitary Medical Sciences Academy, Academy of Military Sciences, Tianjin 300050, China.
Zhixian GaoMilitary Medical Sciences Academy, Academy of Military Sciences, Tianjin 300050, China.

Funding

National Natural Science Foundation of China 81973050
6 · The paper itself

Abstract

Mycotoxins are secondary products produced primarily by fungi and are pathogens of animals and cereals, not only affecting agriculture and the food industry but also causing great economic losses. The development of rapid and sensitive methods for the detection of mycotoxins in food is of great significance for livelihood issues. This study employed an amino-functionalized zirconium luminescent metal-organic framework (LOF) (i.e., UiO-66-NH

Indexed as

FumonisinsMetal-Organic FrameworksZea maysZearalenoneBiosensing TechniquesClick ChemistryFluoroimmunoassayFood ContaminationLimit of DetectionMycotoxinsfumonisin B1FumonisinsMetal-Organic FrameworksMycotoxinsZearalenonefood safetyimmunoassaymetal–organic frameworkmycotoxins

Identifiers

PMID39056631
PMCPMC11275017

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.