Evidence map›Paper›PMID 38727737›Full record

ArticleAnalytical and bioanalytical chemistry2024

Nile red staining for rapid screening of plastic-suspect particles in edible seafood tissues.

Julia Süssmann, Elke Kerstin Fischer, Lars Hildebrandt, Elke Walz, Ralf Greiner, Sascha Rohn, Jan Fritsche

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

7 authors.

Julia SüssmannDepartment of Safety and Quality of Milk and Fish Products, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Hermann-Weigmann-Straße 1, 24103, Kiel, Germany. julia.suessmann@mri.bund.de.
Elke Kerstin FischerCenter for Earth System Research and Sustainability (CEN), University of Hamburg, Bundesstraße 55, 20146, Hamburg, Germany.
Lars HildebrandtDepartment for Inorganic Environmental Chemistry, Helmholtz-Zentrum Hereon, Institute of Coastal Environmental Chemistry, Max-Planck-Straße 1, 21502, Geesthacht, Germany.
Elke WalzDepartment of Food Technology and Bioprocess Engineering, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Haid-Und-Neu-Straße 9, 76131, Karlsruhe, Germany.
Ralf GreinerDepartment of Food Technology and Bioprocess Engineering, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Haid-Und-Neu-Straße 9, 76131, Karlsruhe, Germany.
Sascha RohnDepartment of Food Chemistry and Analysis, Technische Universität Berlin, Institute of Food Technology and Food Chemistry, TIB 4/3-1, Gustav-Meyer-Allee 25, 13355, Berlin, Germany.
Jan FritscheDepartment of Safety and Quality of Milk and Fish Products, Max Rubner-Institut, Federal Research Institute of Nutrition and Food, Hermann-Weigmann-Straße 1, 24103, Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Concerns regarding microplastic (MP) contamination in aquatic ecosystems and its impact on seafood require a better understanding of human dietary MP exposure including extensive monitoring. While conventional techniques for MP analysis like infrared or Raman microspectroscopy provide detailed particle information, they are limited by low sample throughput, particularly when dealing with high particle numbers in seafood due to matrix-related residues. Consequently, more rapid techniques need to be developed to meet the requirements of large-scale monitoring. This study focused on semi-automated fluorescence imaging analysis after Nile red staining for rapid MP screening in seafood. By implementing RGB-based fluorescence threshold values, the need for high operator expertise to prevent misclassification was addressed. Food-relevant MP was identified with over 95% probability and differentiated from natural polymers with a 1% error rate. Comparison with laser direct infrared imaging (LDIR), a state-of-the-art method for rapid MP analysis, showed similar particle counts, indicating plausible results. However, highly variable recovery rates attributed to inhomogeneous particle spiking experiments highlight the need for future development of certified reference material including sample preparation. The proposed method demonstrated suitability of high throughput analysis for seafood samples, requiring 0.02-0.06 h/cm

Indexed as

OxazinesSeafoodAnimalsFluorescent DyesFood ContaminationHumansMicroplasticsPlasticsStaining and LabelingWater Pollutants, ChemicalFluorescent DyesMicroplasticsnile redOxazinesPlasticsWater Pollutants, ChemicalFluorescence microscopyImage processingMicroplastic quantificationNile red fluorescenceScreening method

Identifiers

PMID38727737
PMCPMC11106118

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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.