Evidence map›Paper›PMID 39579227›Full record

ArticleMikrochimica acta2024

Detection of micro- and nanoplastic particles in leafy green vegetables by SERS coupled with gold-silver core-shell nanoparticles.

Seyedehalaleh Kousheh, Mehdi Hajikhani, Sara Asgari, Mengshi Lin

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 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
  2. Review
  3. Article
  4. 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.

Seyedehalaleh KoushehFood Science Program, University of Missouri, Columbia, MO, 65211, USA.
Mehdi HajikhaniFood Science Program, University of Missouri, Columbia, MO, 65211, USA.
Sara AsgariFood Science Program, University of Missouri, Columbia, MO, 65211, USA.
Mengshi LinFood Science Program, University of Missouri, Columbia, MO, 65211, USA. linme@missouri.edu.

Funding

National Science Foundation CBET-2103025USDA 2023–67017-40165
6 · The paper itself

Abstract

A sensitive and accurate method has been developed for detecting and quantifying polystyrene (PS) and polyethylene (PE) in food samples using surface-enhanced Raman spectroscopy (SERS) with a simple preparation process. The method is designed to effectively detect and quantify mixtures of these polymers in varying ratios within the food matrix. By employing gold-silver core-shell nanoparticles (Au@Ag NPs) as the enhancing substrate, the SERS method demonstrated superior sensitivity in detecting trace amounts of micro- and nanoplastic particles (MNPs). For 1-µm PS microparticles, the limit of detection (LOD) values range from 12 to 50 mg/L or mg/kg in water, spinach, and kale, while for 100-nm PS nanoparticles, the LOD values range from 18 to 47 mg/L or mg/kg. For 1-µm PE microparticles, the LOD values range from 173 to 416 mg/L or mg/kg in the same matrices, whereas for 65-nm PE nanoparticles, the values range from 446 to 744 mg/L or mg/kg. The mixtures of PS and PE in varying ratios were also tested, with both plastics detectable even at trace levels, emphasizing the method's precision in detecting plastic contaminants. These findings highlight the potential of SERS as a powerful tool for monitoring MNP contamination in food products by detecting both individual plastics and their mixtures, enabling precise quantification of contamination and contributing to improved food safety.

Indexed as

GoldLimit of DetectionMetal NanoparticlesPolystyrenesSilverSpectrum Analysis, RamanVegetablesFood ContaminationMicroplasticsParticle SizePolyethyleneGoldMicroplasticsPolyethylenePolystyrenesSilverCore–shellFood samplesNanoparticlesPolyethylenePolystyreneSERS

Identifiers

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.