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Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis
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Quantitative image analysis of microplastics in bottled water using artificial intelligence.

Clementina Vitali1, Ruud J B Peters2, Hans-Gerd Janssen3

  • 1Wageningen Food Safety Research, Wageningen University & Research, Akkermaalsbos 2, 6708 WB, Wageningen, the Netherlands; Wageningen University, Laboratory of Organic Chemistry, Stippeneng 4, 6708 WE, Wageningen, the Netherlands.

Talanta
|July 24, 2023
PubMed
Summary

A new AI-powered method accurately quantifies microplastics (MPs) in bottled water. This validated approach enhances food safety by enabling reliable MP exposure assessment, crucial for consumer health.

Keywords:
Artificial intelligenceBottled waterFluorescence microscopyMethod validationMicroplasticNile red

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Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Food Safety

Background:

  • Microplastics (MPs) are widespread in the environment and food chain.
  • Current analytical methods lack validation for reliable MP quantification and risk assessment.

Purpose of the Study:

  • To develop and validate a novel, automated method for microplastic quantification in bottled water.
  • To utilize artificial intelligence for enhanced speed and accuracy in MP analysis.

Main Methods:

  • Nile Red staining and fluorescent microscopy coupled with AI-driven image processing (Random Forest classifier).
  • Automated workflow for particle count, size, and size distribution analysis.
  • Method validation for sensitivity, linearity, precision, and accuracy.

Main Results:

  • Highly sensitive detection of MPs down to 10 μm.
  • Quantification limits: 28 items/500 mL (LOD), 85 items/500 mL (LOQ).
  • Excellent linearity (R²=0.99), precision (9-16% RSD), and accuracy (92-98% recovery).
  • Successful application to commercial bottled water samples, with MP levels up to 7237 items/500 mL.

Conclusions:

  • The developed AI-assisted method is validated and suitable for regulatory compliance.
  • Provides a reliable tool for assessing MP contamination in bottled water.
  • Enables accurate estimation of consumer exposure and food safety risks.