Evidence map›Paper›PMID 42042729›Full record

ArticleNanomaterials (Basel, Switzerland)2026

One-Step Immunoassay of Alpha-Fetoprotein Constructed by Silicon-Quantum-Dot-Loaded Porous Gold Nanoshells.

Xiaoling Lu, Chao Shen, You Long, Song Zhang, Fang Chen, Nan Chen, Chenghong Huang

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 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

7 authors.

Xiaoling LuSchool of Chemistry and Chemical Engineering, Chongqing University of Science and Technology, Chongqing 401331, China.
Chao ShenSchool of Chemistry and Chemical Engineering, Chongqing University of Science and Technology, Chongqing 401331, China.
You LongSchool of Chemistry and Chemical Engineering, Chongqing University of Science and Technology, Chongqing 401331, China.
Song ZhangSchool of Chemistry and Chemical Engineering, Chongqing University of Science and Technology, Chongqing 401331, China.
Fang ChenChongqing Key Laboratory of Digitalization in Pharmaceutical Process, Chongqing University of Science and Technology, Chongqing 401331, China.
Nan ChenChongqing Key Laboratory of Digitalization in Pharmaceutical Process, Chongqing University of Science and Technology, Chongqing 401331, China.
Chenghong HuangSchool of Chemistry and Chemical Engineering, Chongqing University of Science and Technology, Chongqing 401331, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alpha-fetoprotein (AFP) is widely utilized for auxiliary diagnosis of primary hepatocellular carcinoma. Therefore, the development of a facile immunosensor is essential for clinical applications. This study aims to develop a simple immunoassay for AFP detection. By incorporating silicon quantum dots (SiQDs) into etching hollow gold nanoshells (EHGNs) via precise nanomanipulation, we designed molecular probes based on SiQDs@EHGNs complex immobilized capture antibodies, which can convert the antigen/antibody binding process into fluorescent divergence signals for AFP measurement. This strategy enabled one-step fluorescence sensing for AFP detection with a linear range of 3.125-200.0 ng/mL and LOD of 0.234 ng/mL. The detection results of 15 clinical serum real samples demonstrated a 93.7% correlation with the market-accepted ECLIA method. The proposed method take advantages of simplicity and rapid response, offering a novel approach for tumor marker analysis with significant potential.

Indexed as

AFPEHGNsfluoroimmunoassaySiQDs

Identifiers

PMID42042729
PMCPMC13118350

What OpenQuestion holds

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Registered trials

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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.