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Related Concept Videos

Qualitative Analysis03:46

Qualitative Analysis

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For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
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Classifying Matter by Composition03:35

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Matter: Pure Substances and Mixtures
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures. 
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Localization and Relative Quantification of Carbon Nanotubes in Cells with Multispectral Imaging Flow Cytometry
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Analysis using image segmentation for the elemental composition of activated carbon.

Mohammed Danish1, Mohammad Nishat Akhtar2, Rokiah Hashim3

  • 1Universiti Kuala Lumpur Malaysian Institute of Chemical and Bioengineering Technology (MICET), Lot 1988, Kawasan Perindustrian Bandar Vendor, Taboh Naning, 78000 Alor Gajah, Melaka, Malaysia.

Methodsx
|August 4, 2020
PubMed
Summary

This study introduces a Hue-Saturation-Value (HSV) thresholding method for segmenting Field Emission Scanning Electron Microscope (FESEM) images of activated carbon. This technique quantifies elemental composition from image patterns, aiding material characterization.

Keywords:
Acacia mangium woodActivated carbonChemical activationHSV thresholdingImage analysis

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Area of Science:

  • Materials Science
  • Surface Chemistry
  • Image Analysis

Background:

  • Activated carbons derived from Acacia Mangium Wood are crucial materials with diverse applications.
  • Characterizing the surface composition of activated carbons is essential for understanding their properties.
  • Field Emission Scanning Electron Microscope (FESEM) provides high-resolution imaging of material surfaces.

Purpose of the Study:

  • To develop and apply an image segmentation method for analyzing FESEM images of activated carbon.
  • To quantify the percentage of different patterns (elements) on the activated carbon surface.
  • To validate the image segmentation results using Energy Dispersive X-ray Spectroscopy (EDS).

Main Methods:

  • Image segmentation of FESEM images using the Hue-Saturation-Value (HSV) thresholding technique.
  • Varying the Value (V) intensity while keeping Hue (H) and Saturation (S) at zero.
  • Developing an algorithm to compute the percentage of each pattern based on non-zero pixels.

Main Results:

  • The HSV thresholding method successfully identified and differentiated various patterns within the FESEM images.
  • The algorithm quantified the percentage composition of different elements based on these identified patterns.
  • Results obtained from image segmentation showed good correlation with Energy Dispersive X-ray Spectroscopy (EDS) analysis.

Conclusions:

  • The proposed HSV thresholding method is effective for the characterization of activated carbon materials.
  • This image segmentation approach can be adapted for analyzing other material surfaces.
  • The method provides a reliable way to determine the presence and percentage of multiple elements in activated carbon samples.