Evidence map›Paper›PMID 42650611›Full record

ArticleFoods (Basel, Switzerland)2026

Poly(Neutral Red)-Silver Nanorods-Carbon Nanotubes Composite-Based Ratiometric Electrochemical Sensor for Rapid Detection of Histamine in Crayfish.

Shuo Duan, Chunyan Liao, Huang Dai, Yunhan Liu, Yongjiang Zhang, Qiao Wang, Zhanming Li

Abstract read
In one paragraph

Article in Foods (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.

Shuo DuanDepartment of Environment and Quality Testing, Chongqing Chemical Industry Vocational College, Chongqing 400020, China.ORCID 0000-0001-8429-0866
Chunyan LiaoDepartment of Environment and Quality Testing, Chongqing Chemical Industry Vocational College, Chongqing 400020, China.
Huang DaiCollege of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430024, China.ORCID 0009-0006-1589-0650
Yunhan LiuDepartment of Environment and Quality Testing, Chongqing Chemical Industry Vocational College, Chongqing 400020, China.
Yongjiang ZhangDepartment of Environment and Quality Testing, Chongqing Chemical Industry Vocational College, Chongqing 400020, China.
Qiao WangDepartment of Environment and Quality Testing, Chongqing Chemical Industry Vocational College, Chongqing 400020, China.ORCID 0000-0003-0648-9399
Zhanming LiSchool of Grain Science and Technology, Jiangsu University of Science and Technology, Zhenjiang 212000, China.ORCID 0000-0003-0872-3310

Funding

Chongqing Natural Science Foundation 2024NSCQ-MSX0774Scientific re-346 search project of Chongqing Education Committee KJQN202404503
6 · The paper itself

Abstract

Histamine accumulation in spoiled aquatic products poses significant food safety risks, yet rapid and accurate on-site detection remains challenging due to the lack of direct electrochemical activity of histamine and severe matrix interference in complex biological samples. Herein, we report a ratiometric electrochemical sensor based on a poly(neutral red)-silver nanorods-carbon nanotubes (PNR-AgNRs/CNTs) composite for rapid histamine detection in crayfish. The sensor leverages a dual-signal strategy wherein histamine competitively suppresses the PNR electrochemical signal while leaving the AgNRs signal unaffected, enabling self-referencing quantification via the I

Indexed as

carbon nanotubescrayfishfreshness detectionhistaminepoly(neutral red)ratiometric electrochemical sensorsilver nanorods

Identifiers

PMID42650611
PMCPMC13512178

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.