Evidence map›Paper›PMID 40365198›Full record

ArticleRSC advances2025

Black palladium nanoparticle-based lateral flow immunoassay for cardiovascular disease diagnosis.

Hong Ding, Yao Nie, Zhen Chen, Wanchao Zuo, Juan Cao, Zihan Ling, Yanmin Ju, Ming Chen

Abstract read
In one paragraph

Article in RSC advances, 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

8 authors.

Hong DingDepartment of Cardiology, Taixing People's Hospital Taixing Jiangsu 225400 China 511978653@qq.com zhench_cn@163.com 1016526899@qq.com.
Yao NieCollege of Pharmacy, China Pharmaceutical University Nanjing Jiangsu 211198 China 1562037162@qq.com Affection9797616@163.com juyanmin@cpu.edu.cn.
Zhen ChenDepartment of Cardiology, Taixing People's Hospital Taixing Jiangsu 225400 China 511978653@qq.com zhench_cn@163.com 1016526899@qq.com.
Wanchao ZuoCollege of Pharmacy, China Pharmaceutical University Nanjing Jiangsu 211198 China 1562037162@qq.com Affection9797616@163.com juyanmin@cpu.edu.cn.
Juan CaoDepartment of Cardiology, Taixing People's Hospital Taixing Jiangsu 225400 China 511978653@qq.com zhench_cn@163.com 1016526899@qq.com.
Zihan LingNorth Sichuan Medical College No. 55 Dongshun Road Nanchong Sichuan 637000 China 2945271623@qq.com.
Yanmin JuCollege of Pharmacy, China Pharmaceutical University Nanjing Jiangsu 211198 China 1562037162@qq.com Affection9797616@163.com juyanmin@cpu.edu.cn.ORCID https://orcid.org/0000-0002-5158-3846
Ming ChenDepartment of Clinical Laboratory Taixing People's Hospital, The Sixth Affiliated Hospital of Yangzhou University Taixing Jiangsu 225400 China Chenmingbox@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lateral flow immunoassay (LFIA) based on gold nanoparticles (AuNPs) has emerged as a rapid and cost-effective tool for point-of-care diagnostics, yet it remains limited by its low sensitivity in colorimetric detection. Herein, we report a black palladium nanoparticle (PdNP)-based LFIA system for the detection of lipoprotein-associated phospholipase A2 (Lp-PLA2), a key biomarker of cardiovascular diseases. The intrinsic black color of PdNPs provided higher visual discriminability at low concentrations compared with AuNPs. Moreover, PdNP probes synthesized through chemical covalent conjugation with antibodies had the advantages of enhancing the target recognition ability. The PdNP-based LFIA achieved a 12-fold lower visual detection limit and a 100-fold wider linear range compared with AuNP-based LFIA. Moreover, clinical validation detection results using 57 serum samples were in strong accordance with the clinical methods. This work not only establishes PdNP-based LFIA to address the long-standing sensitivity limitations of colorimetric LFIA, but also offers a robust diagnostic tool for early cardiovascular disease diagnosis in resource-limited settings.

Identifiers

PMID40365198
PMCPMC12067195

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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.