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Characterization Methods of Ions and Metals in Particulate Matter Pollutants on PM2.5 and PM10 Samples from Several Emission Sources

Author

Listed:
  • Mauricio A. Correa

    (Grupo de Investigación y Laboratorio de Monitoreo Ambiental—GLIMA, Universidad de Antioquia UdeA, Calle 70 N°. 52-21, Medellin 050010, Colombia)

  • Santiago A. Franco

    (Grupo de Investigación y Laboratorio de Monitoreo Ambiental—GLIMA, Universidad de Antioquia UdeA, Calle 70 N°. 52-21, Medellin 050010, Colombia)

  • Luisa M. Gómez

    (Grupo de Investigación y Laboratorio de Monitoreo Ambiental—GLIMA, Universidad de Antioquia UdeA, Calle 70 N°. 52-21, Medellin 050010, Colombia)

  • David Aguiar

    (Grupo de Investigación y Laboratorio de Monitoreo Ambiental—GLIMA, Universidad de Antioquia UdeA, Calle 70 N°. 52-21, Medellin 050010, Colombia)

  • Henry A. Colorado

    (CCComposites Laboratory, Universidad de Antioquia UdeA, Calle 70 N°. 52-21, Medellín 050010, Colombia)

Abstract

This research investigated the current methods of characterization of ions and metals in particulate matter pollutants from different emission sources. The study was conducted through the Proknow-C methodology, in which a portfolio that includes scientific and review articles was selected. The document addresses different methodologies currently used to quantify diverse ions and metals (IIMM) found in particulate matter (PM), specifically focused on PM 10 and PM 2.5 . The investigation was made going through the types of filters used to capture the pollutant, the equipment and the corresponding characterization techniques. Results show the Proknow-C method is a reliable way to analyze PM pollution research, revealing the state of art for metals and ions types, characterization technologies, current situations and trends. Sulfate, nitrate, and ammonium ions are found in concentrations between 70 and 80% of the PM. Among the main metals found are chromium, nickel, lead, cadmium, iron, manganese, coper, and zinc. The main detection method found in the studied research was inductively coupled plasma mass spectrometry. It was also found that geographic information systems are a good tool for integrating special data with PM and air pollution, which could accelerate the diagnosis and thus the actions to give solution to the problem.

Suggested Citation

  • Mauricio A. Correa & Santiago A. Franco & Luisa M. Gómez & David Aguiar & Henry A. Colorado, 2023. "Characterization Methods of Ions and Metals in Particulate Matter Pollutants on PM2.5 and PM10 Samples from Several Emission Sources," Sustainability, MDPI, vol. 15(5), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4402-:d:1084793
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    References listed on IDEAS

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    1. Ru-Jin Huang & Yanlin Zhang & Carlo Bozzetti & Kin-Fai Ho & Jun-Ji Cao & Yongming Han & Kaspar R. Daellenbach & Jay G. Slowik & Stephen M. Platt & Francesco Canonaco & Peter Zotter & Robert Wolf & Sim, 2014. "High secondary aerosol contribution to particulate pollution during haze events in China," Nature, Nature, vol. 514(7521), pages 218-222, October.
    2. Henry A. Colorado & Andrea Muñoz & Sergio Neves Monteiro, 2022. "Circular Economy of Construction and Demolition Waste: A Case Study of Colombia," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
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    Cited by:

    1. Mauricio A. Correa-Ochoa & Roxana Bedoya & Luisa M. Gómez & David Aguiar & Carlos A. Palacio-Tobón & Henry A. Colorado, 2023. "A Review on the Characterization and Measurement of the Carbonaceous Fraction of Particulate Matter," Sustainability, MDPI, vol. 15(11), pages 1-23, May.
    2. Mauricio A. Correa-Ochoa & Juliana Rojas & Luisa M. Gómez & David Aguiar & Carlos A. Palacio-Tobón & Henry A. Colorado, 2023. "Systematic Search Using the Proknow-C Method for the Characterization of Atmospheric Particulate Matter Using the Materials Science Techniques XRD, FTIR, XRF, and Raman Spectroscopy," Sustainability, MDPI, vol. 15(11), pages 1-23, May.

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