Evidence map›Paper›PMID 41175153›Full record

ArticleMikrochimica acta2025

PDA-integrated Au@Ag with colorimetric/SERS dual-signal enhancement capability for flexible lateral flow immunoassay detection of respiratory viruses.

Xiaoxian Liu, Zhenyong Dong, Hao Wang, Guanghui Wang, Rui Xiao

Abstract read
PubMed Publisher
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

5 authors.

Xiaoxian LiuCollege of Engineering and Applied Sciences, Nanjing University, Nanjing, 210093, China.
Zhenyong DongCollege of Engineering and Applied Sciences, Nanjing University, Nanjing, 210093, China.
Hao WangCollege of Engineering and Applied Sciences, Nanjing University, Nanjing, 210093, China.
Guanghui WangCollege of Engineering and Applied Sciences, Nanjing University, Nanjing, 210093, China. wangguanghui@nju.edu.cn.
Rui XiaoState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China. ruixiao203@163.com.

Funding

National Natural Science Foundation of China 61535005Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX24-0264
6 · The paper itself

Abstract

A core-shell composite nanomaterial PAu@Ag with structural stability was developed by integrating a layer of Au@Ag bimetallic nanoparticles (NPs) on the polydopamine (PDA) surface. The synergy between PDA and Au@Ag with localized surface plasmon resonance (LSPR) improved the colorimetric performance; simultaneously, the nanogap-arranged Au@Ag NPs created a high density of "hotspots", resulting in markedly enhanced SERS activity. The multiplex lateral flow immunoassay (LFIA), based on PAu@Ag colorimetric/SERS dual-enhanced tags, featuring dual-mode detection of rapid qualitative screening (colorimetric) and ultrasensitive quantitative analysis (SERS), demonstrated excellent performance in simultaneously detecting two highly transmissible respiratory viruses. The colorimetric and SERS enhanced results were 2 to more than 750 times more sensitive than the non-integrated method (Au@Ag - LFIA) and commercial kits (Au - LFIA and ELISA), along with 100% accuracy in 36 clinical samples detection, making PAu@Ag - LFIA show great potential as a universal and flexible immunodiagnostic of viruses.

Indexed as

ColorimetryIndolesMetal NanoparticlesPolymersGoldHumansImmunoassayLimit of DetectionSilverSurface Plasmon ResonanceGoldIndolespolydopaminePolymersSilverColorimetric/SERS dual-enhancedLateral flow immunoassayLSPRRespiratory virusesSimultaneous virus detection

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.