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Related Concept Videos

Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

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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.
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Raman Spectroscopy Instrumentation: Overview01:26

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A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
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Microtubule function and architecture are regulated by an array of specialized proteins called microtubule-associated proteins or MAPs. These proteins are widespread across different organisms and have conserved protein motifs, like the multi-TOG domain for tubulin binding found in the CLASP family of MAPs. Some MAPs are lineage-specific based on their conserved domains. Their functions depend upon the cytoskeletal architecture and cell type they are located within. In-plant cells, a specific...
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Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
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Related Experiment Video

Updated: Jan 22, 2026

Sampling and Identification of Microplastics in Groundwater
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Identification and visualisation of microplastics by Raman mapping.

Zahra Sobhani1, Md Al Amin1, Ravi Naidu2

  • 1Global Centre for Environmental Remediation (GCER), University of Newcastle, Callaghan, NSW, 2308, Australia.

Analytica Chimica Acta
|July 17, 2019
PubMed
Summary

Raman spectroscopy effectively identifies and visualizes microplastics (MP) in soil samples without complex preparation. This method overcomes background interference, enabling clear detection of various MP types down to 1 micrometer.

Keywords:
ContaminationFingerprint spectrumIdentificationMicroplasticRaman mappingVisualisation

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Separation and Identification of Conventional Microplastics from Farmland Soils
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Area of Science:

  • Environmental Science
  • Analytical Chemistry
  • Materials Science

Background:

  • Microplastics (MP) are pervasive global contaminants impacting ecosystems and human health.
  • Accurate identification and visualization of MP in environmental matrices like soil remain challenging.
  • High background signals in soil can obscure microplastic detection using conventional methods.

Purpose of the Study:

  • To develop a robust method for identifying and visualizing microplastics in soil.
  • To overcome limitations of existing techniques, such as water interference and low resolution.
  • To enable precise mapping of microplastic distribution in complex environmental samples.

Main Methods:

  • Utilized Raman spectroscopy, a technique complementary to infrared (IR) spectroscopy.
  • Employed characteristic and fingerprint peaks for microplastic identification.
  • Achieved high lateral resolution (1 µm/pixel) for visualizing small microplastic particles.

Main Results:

  • Successfully identified and visualized various microplastic types: polystyrene (PS), polyethylene terephthalate (PET), polyethylene (PE), polyvinyl chloride (PVC), and polypropylene (PP).
  • Demonstrated effective microplastic detection in soil/sand backgrounds with minimal sample preparation.
  • Showcased the method's ability to avoid interference from water, organic matter, and fluorescence.

Conclusions:

  • Raman spectroscopy offers a powerful, non-destructive tool for microplastic analysis in challenging environmental samples.
  • The technique provides high specificity and sensitivity for diverse microplastic polymers.
  • This advancement facilitates accurate microplastic contamination assessment and distribution mapping.