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Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

429
A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
429
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

415
The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
415

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Related Experiment Video

Updated: Jul 10, 2025

Protocol for Microplastics Sampling on the Sea Surface and Sample Analysis
10:16

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Visual detection of microplastics using Raman spectroscopic imaging.

Kaili Liu1, Xu Pang1, Huacai Chen1

  • 1College of Optical and Electronic Technology, China Jiliang University, 310018 Hangzhou, China. 544867537@qq.com.

The Analyst
|November 22, 2023
PubMed
Summary

Raman spectroscopy imaging visualizes microplastics, enabling accurate identification and ecological risk assessment. This method effectively distinguishes various microplastics in complex environmental samples.

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Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Spectroscopy

Background:

  • Microplastics are emerging pollutants in marine and terrestrial ecosystems.
  • Accurate detection of small microplastic particles is crucial for ecological risk assessment.
  • Microplastics possess unique spectral fingerprints ideal for rapid identification.

Purpose of the Study:

  • To visualize microplastics using Raman spectroscopy imaging.
  • To explore the potential of Raman spectroscopy in distinguishing mixed microplastic types.
  • To demonstrate the application of this technique in complex environmental samples.

Main Methods:

  • Pseudo-color imaging generated by selecting characteristic Raman peaks.
  • Classical least-squares fitting method for visualizing microplastic distribution.
  • Cloud-point extraction followed by membrane filtration for sample preparation.

Main Results:

  • Successful visualization of microplastics through pseudo-color Raman mapping.
  • Demonstrated ability to distinguish various types of mixed microplastics.
  • Identified microplastics in complex environmental samples using the developed method.

Conclusions:

  • Raman spectroscopy provides accurate analysis of microplastic category, quantity, and location.
  • This technique offers a basis for assessing the ecological risk of microplastics.
  • The developed method is effective for identifying microplastics in diverse environmental matrices.