Evidence map›Paper›PMID 41364356›Full record

ArticleMikrochimica acta2025

Ultra-sensitive fluorescent detection of DENV-2 Nucleocapsid Protein 1 based on CDs-Eu@ZIF-8 modified Fe

Siting Chen, Yongxia Wang, Xinqi Guo, Yanni Huang, Yitong Xiang, Shuying Wang, Min Hu, Qianfeng Xia, Yingzi Lin

Abstract read
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In one paragraph

Article in Mikrochimica acta, 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

9 authors.

Siting ChenNHC Key Laboratory of Tropical Disease Control, School of Life Sciences and Medical Technology, Hainan Medical University, Haikou, Hainan, 571199, China.
Yongxia WangNHC Key Laboratory of Tropical Disease Control, School of Life Sciences and Medical Technology, Hainan Medical University, Haikou, Hainan, 571199, China.
Xinqi GuoNHC Key Laboratory of Tropical Disease Control, School of Life Sciences and Medical Technology, Hainan Medical University, Haikou, Hainan, 571199, China.
Yanni HuangNHC Key Laboratory of Tropical Disease Control, School of Life Sciences and Medical Technology, Hainan Medical University, Haikou, Hainan, 571199, China.
Yitong XiangNHC Key Laboratory of Tropical Disease Control, School of Life Sciences and Medical Technology, Hainan Medical University, Haikou, Hainan, 571199, China.
Shuying WangNHC Key Laboratory of Tropical Disease Control, School of Life Sciences and Medical Technology, Hainan Medical University, Haikou, Hainan, 571199, China.
Min HuThe First Affiliated Hospital of Hainan Medical University, Haikou, Hainan, 570102, China.
Qianfeng XiaNHC Key Laboratory of Tropical Disease Control, School of Life Sciences and Medical Technology, Hainan Medical University, Haikou, Hainan, 571199, China. xiaqianfeng@sina.com.
Yingzi LinHainan Provincial Center for Disease Control and Prevention, Haikou, Hainan, 571129, China. Lin20230901@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An ultra-sensitive fluorescent biosensor based on CDs-Eu@ZIF-8 Modified Fe

Indexed as

Biosensing TechniquesDengue VirusFluorescent DyesMagnetite NanoparticlesMetal-Organic FrameworksNucleocapsid ProteinsCadmium CompoundsEuropiumGoldHumansLimit of DetectionMetal NanoparticlesNanocompositesSpectrometry, FluorescenceSulfidesZeolitesCadmium Compoundscadmium sulfideEuropiumFluorescent DyesGoldMagnetite NanoparticlesMetal-Organic FrameworksNucleocapsid ProteinsSulfidesZeolitesCDs-Eu@ZIF-8Dengue virusEXO IIIFluorescenceMagnetic separationNS1 protein

Identifiers

PMID41364356

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.