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July 30, 2026PolymersOpen Access

Microplastic Identification Methods for Microfluidic Applications: Towards Rapid Detection in Aquatic Environments

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Authors

CPCamila Maria PensoMPMaría C. PaivaJVJosé Viana-Gomes

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Overview

Review examines microfluidic methods for speedy microplastic detection in aquatic ecosystems, indicating technological advancements.

Key Points

  • The aim is to explore rapid and efficient microplastic detection methods using microfluidic technologies in aquatic environments.
  • Review of microfluidic technologies applicable for microplastic detection
  • Evaluation of on-chip sample manipulation techniques like acoustophoresis and dielectrophoresis
  • Discussion of machine learning integration with spectral libraries for autonomous monitoring
  • Conventional methods are labor-intensive and not suitable for real-time monitoring
  • Microfluidic methods offer improved throughput, reduced sample volume, and continuous operation
  • Integration of machine learning could enhance autonomous monitoring capabilities for microplastics

Cite This Study

Penso et al. (2026) studied this question.

synapsesocial.com/papers/6a6af51f60e2b924d3ea0da7https://doi.org/10.3390/polym18151847
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