Rapid Detection of Microplastics in Marine Environments Using Spectroscopic Methods

Authors

  • Ava Johnson Scripps Institution of Oceanography
  • Benjamin Lee NOAA, Marine Debris Program

Abstract

We present a novel spectroscopic method for rapid detection and quantification of microplastics in marine water samples. The technique combines Raman spectroscopy with machine learning algorithms to achieve 98% accuracy in identifying polymer types. Field tests conducted across 12 coastal locations demonstrated the method can process samples in under 5 minutes, compared to several hours for conventional approaches. This advancement enables real-time monitoring of microplastic pollution in marine ecosystems.

Published

2024-09-15

Issue

Vol. 1 No. 3 (2024): Environmental Science Special Issue

Section

Short Communications

License

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY 4.0).

How to Cite

Rapid Detection of Microplastics in Marine Environments Using Spectroscopic Methods. (2024). International Journal of Science and Technology, 1(3), 19-28. https://assosiatech.com/index.php/ijst/article/view/6