Evidence map›Paper›PMID 41021017›Full record

ArticleAnalytical and bioanalytical chemistry2026

Anti-interference labeled SERS lateral flow immunoassay based on Prussian blue for ultra-sensitive quantitative detection of bloodstains in forensic field.

Long Chen, Feng Wang, Ziwen Guo, Tianyu Qiu, Feng Chen, Yue Cao

Abstract read
PubMed Publisher
In one paragraph

Article in Analytical and bioanalytical chemistry, 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

6 authors.

Long Chen *Department of Forensic Medicine, Nanjing Medical University, Nanjing, 211166, P.R. China.
Feng Wang *Department of Orthopedics, Sir Run Run Hospital, Nanjing Medical University, Nanjing, P.R. China.
Ziwen GuoDepartment of Forensic Medicine, Nanjing Medical University, Nanjing, 211166, P.R. China.
Tianyu QiuDepartment of Forensic Medicine, Nanjing Medical University, Nanjing, 211166, P.R. China.
Feng ChenDepartment of Forensic Medicine, Nanjing Medical University, Nanjing, 211166, P.R. China. fchen@njmu.edu.cn.
Yue CaoDepartment of Forensic Medicine, Nanjing Medical University, Nanjing, 211166, P.R. China. ycao@njmu.edu.cn.

Funding

Jiangsu Specially Appointed Professor program, 2022 Chunhui Program of Ministry of Education HZKY20220178National Natural Science Foundation of China 21904068National Natural Science Foundation of China 82225023Science and Technology Support Program of Jiangsu Province China BK20201351
6 · The paper itself

Abstract

In the field investigation of criminal cases, the tracking of blood evidence is very important. However, post-crime bloodstains are often cleaned up or covered up, making residual traces difficult to detect. Consequently, the creation of expeditious, exceptionally precise, and selective analytical techniques for human bloodstain recognition is imperative. Prussian blue (PB) served as a surface-enhanced Raman scattering (SERS) tag in this research, characterized by an intense monochromatic signal in the biological silent region (1800-2800 cm

Indexed as

Blood StainsFerrocyanidesHemoglobinsSpectrum Analysis, RamanForensic MedicineHumansImmunoassayLimit of Detectionferric ferrocyanideFerrocyanidesHemoglobinsBlood evidenceHuman hemoglobinLateral flow immunoassayPrussian blueSurface-enhanced Raman scattering

Identifiers

PMID41021017

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.