Evidence map›Paper›PMID 39994093›Full record

ArticleMikrochimica acta2025

Rapid determination of malachite green in fish by surface-enhanced Raman spectroscopy combined with MIL-100 (Fe).

Hongyu Han, Yiqun Huang, Junjian Miao, Keqiang Lai

Abstract read
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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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Hongyu HanCollege of Food Science and Technology, Shanghai Ocean University, Shanghai, 201306, China.
Yiqun HuangSchool of Food Science and Bioengineering, Changsha University of Science and Technology, Hunan, 410076, China. yiqunh@csust.edu.cn.
Junjian MiaoCollege of Food Science and Technology, Shanghai Ocean University, Shanghai, 201306, China.
Keqiang LaiCollege of Food Science and Technology, Shanghai Ocean University, Shanghai, 201306, China. kqlai@shou.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface-enhanced Raman spectroscopy (SERS) was combined with stoichiometric analysis to synthesize a AuNPs@MIL-100 (Fe) SERS substrate. This high-performance, and low-cost metal-organic framework-based SERS nano sensor is capable of detecting malachite green (MG) residues in fish. The minimum detectable  concentration of MG in standard solutions is 0.1 μg/L, while in fish samples, the detection range spanned from 0.003-0.088 μg/kg. The partial least squares regression (PLSR) and support vector machine regression (SVR) were applied to model the SERS data, enhancing both the precision and reliability of the detection. The results show that compared with the traditional linear regression and PLSR models, the prediction accuracy of the SVR model is an  improvement with higher stability. MG standard solutions and three fish samples can  be analysed directly or after simple extraction. This method can be used to detect trace harmful substances in different aquatic products.

Indexed as

Metal-Organic FrameworksRosaniline DyesSpectrum Analysis, RamanAnimalsFishesFood ContaminationGoldLimit of DetectionMetal NanoparticlesSupport Vector MachineGoldmalachite greenMetal-Organic FrameworksRosaniline DyesAu nanoparticlesElectrostatic adsorptionMetal-organic frameworkSERSSERS data modelling

Identifiers

PMID39994093

What OpenQuestion holds

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Registered trials

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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.