Evidence map›Paper›PMID 35424599›Full record

ArticleRSC advances2022

Freshness monitoring of raw fish by detecting biogenic amines using a gold nanoparticle-based colorimetric sensor array.

Linlin Du, Yijia Lao, Yui Sasaki, Xiaojun Lyu, Peng Gao, Si Wu, Tsuyoshi Minami, Yuanli Liu

Abstract read
In one paragraph

Article in RSC advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Linlin DuGuangxi Key Laboratory of Optical and Electronic Materials and Devices, College of Materials Science and Engineering, Guilin University of Technology Guilin 541004 China lyuanli@glut.edu.cn.
Yijia LaoGuangxi Key Laboratory of Optical and Electronic Materials and Devices, College of Materials Science and Engineering, Guilin University of Technology Guilin 541004 China lyuanli@glut.edu.cn.
Yui SasakiInstitute of Industrial Science, The University of Tokyo Tokyo 153-8505 Japan tminami@iis.u-tokyo.ac.jp.ORCID https://orcid.org/0000-0003-4185-569X
Xiaojun LyuInstitute of Industrial Science, The University of Tokyo Tokyo 153-8505 Japan tminami@iis.u-tokyo.ac.jp.ORCID https://orcid.org/0000-0001-7281-6103
Peng GaoGuangxi Key Laboratory of Optical and Electronic Materials and Devices, College of Materials Science and Engineering, Guilin University of Technology Guilin 541004 China lyuanli@glut.edu.cn.
Si WuGuangxi Key Laboratory of Optical and Electronic Materials and Devices, College of Materials Science and Engineering, Guilin University of Technology Guilin 541004 China lyuanli@glut.edu.cn.ORCID https://orcid.org/0000-0001-8156-346X
Tsuyoshi MinamiInstitute of Industrial Science, The University of Tokyo Tokyo 153-8505 Japan tminami@iis.u-tokyo.ac.jp.ORCID https://orcid.org/0000-0001-8331-378X
Yuanli LiuGuangxi Key Laboratory of Optical and Electronic Materials and Devices, College of Materials Science and Engineering, Guilin University of Technology Guilin 541004 China lyuanli@glut.edu.cn.ORCID https://orcid.org/0000-0002-8554-2698

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We herein report the quantitative detection of biogenic amines using a gold nanoparticle-based colorimetric chemosensor array for food analysis. The gold nanoparticles are functionalized with carboxylate derivatives, which capture target amines through hydrogen bonds and electrostatic interactions. The simultaneous discrimination of 10 amine derivatives was achieved by a linear discriminant analysis with a 100% correct classification based on the multi-colorimetric response pattern of structural differences. Furthermore, a real sample analysis for raw fish (

Identifiers

PMID35424599
PMCPMC8982005

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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.