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Updated: May 5, 2026

Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis

Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis

Published on: December 16, 2016

Microplastic size-dependent turbidity detection using spectral decay in multiple self-mixing interference.

Sijie Zhao, Wu Sun, Liang Wu

|May 4, 2026

Summary

This summary is machine-generated.

This study introduces a new method for detecting water turbidity by analyzing spectral decay in microplastic samples. The technique shows sensitivity to microplastic size, proving effective for small particles.

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Sampling, Sorting, and Characterizing Microplastics in Aquatic Environments with High Suspended Sediment Loads and Large Floating Debris

Sampling, Sorting, and Characterizing Microplastics in Aquatic Environments with High Suspended Sediment Loads and Large Floating Debris

Published on: July 28, 2018

Area of Science:

Environmental Science
Optical Physics
Analytical Chemistry

Background:

Current water turbidity detection methods often overlook the impact of microplastic size.
Microplastic contamination is a growing concern in aquatic environments, necessitating precise detection techniques.

Purpose of the Study:

To develop a novel method for detecting water turbidity based on microplastic size.
To investigate the relationship between microplastic size and spectral decay in self-mixing interference.

Main Methods:

Utilized spectral decay analysis within a multiple self-mixing interference setup.
Experimentally assessed water turbidity under varying microplastic sizes.
Accumulated weak scattering from microplastics via multiple reflections.

Main Results:

Transformed reflected light into harmonic peaks characterized by exponential spectral decay.
Demonstrated that detection sensitivity is dependent on microplastic size.
Confirmed the method's suitability for detecting small-sized microplastics.

Conclusions:

The proposed spectral decay method offers a size-dependent approach to water turbidity detection.
This technique shows promise for the sensitive detection of microplastics, particularly smaller particles.
Highlights the importance of considering particle size in microplastic-related environmental monitoring.