| Peer-Reviewed

A New Procedure for Porous Material Characterization

Received: 28 May 2017     Accepted: 22 June 2017     Published: 24 July 2017
Views:       Downloads:
Abstract

A new procedure for quantitative characterization of different types of solid materials is proposed. The technique is based on the Scanning Electron Microscopy (SEM) analysis results of porous materials and their processing by the software ImageJ. Several types of porous adsorbents AX21, AC35, GAC250, ACENO and IRH3 activated carbons were investigated. Based on SEM analysis, different characteristics of the samples such as porosity, pore size distribution, bed particles porosity can be obtained. In this study, the particle size, the average macropore size and pore size distributions (PSD) of samples were determined with a new procedure for SEM analysis treatment using ImageJ software. Three distribution functions (Gamma, Weibull and Lognormal) were selected to describe the experimental results. The Lognormal distribution fitted more accurately the experimental data.

Published in International Journal of Science, Technology and Society (Volume 5, Issue 4)
DOI 10.11648/j.ijsts.20170504.22
Page(s) 131-140
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Porous Materials, SEM, PSD, ImageJ, Activated Carbon

References
[1] K. Y. Foo, B. H. Hameed, Chem. Eng. J. 156 (2010) 2–10.
[2] M. Heuchel, D. Gerber, K. Kratz, A. Lendlein, Polym. Adv. Technol. (2016) doi: 10.1002/pat.3973.
[3] R. Guillet-Nicolas, R. Ahmad, K. A. Cychosz, F. Kleitz, M. Thommes, New Journal of Chemistry 40 (2016) 4351-4360.
[4] I. Suarez-Ruiz, International Journal of Coal Geology 159 (2016) 1-17.
[5] M. Lawrence, J. Yunhong, Bio-aggregates Based Building Materials. Springer Netherlands (2017) 39-71.
[6] S. Lowell, J. E. Shields, Powder Surface Area and Porosity, second ed. John, Wiley, New York, 1984.
[7] S. Brunauer, P. H. Emmet, F. Teller, J. Am. Chem. Soc. 60 (1938) 309-319.
[8] E. P. Barrett, L. G. Jayner, P. P. Hallenda, J. Am. Chem. Soc. 73 (1951) 373-380.
[9] G. Horvath, K. Kazakoe, J. Chem. Eng. Japan 16 (5) (1983) 470-475.
[10] A. F. AlMarzooqi, M. R. Bilad, B. M. Hassan, A. Arafat, Journal of materials science 51(4) (2016) 2017-2032.
[11] N. Marturi, B. Tamadazte, Sounkalo Dembele, IEEE Transactions on Instrumentation and Measurement 65(8) (2016) 1847-1855.
[12] T. Woehl, K. Robert, Ultramicroscopy 171 (2016), 166-176.
[13] J. Pascau, J. M. M. Pérez, Image Processing with ImageJ, September 2013, ISBN 13: 9781783283958.
[14] C. A. Schneider, W. S. Rasband, K. W. Eliceiri, Nat Methods 9 (7) (2012) 671-675.
[15] T. J. Collins, BioTechniques 43 (1 Suppl) (2007) 25-30 doi:10.2144/000112517.
[16] V. Girish, A. Vijayalakshmi, Indian J Cancer 41 (1) (2004) 47.
[17] C. T. Rueden, K. W. Eliceiri, BioTechniques 43 (1Suppl) (2007) 31 33–36.
[18] M. D. Abramoff, P. J. Magalhaes, S. J. Ram, Biophotonics International Laurin Publishing, Co. Inc., 2004.
[19] G. H. Kim, et al. Auris Nasus Larynx 44.2 (2017), 174-181.
[20] K. Eliceiri, C. T. Rueden, Photochem Photobiol 81 (5) (2005)22-1116.
[21] D. Barboriak, A. Padua, G. York, J. Macfall, J. Digit Imaging 18 (2) (2005) 9–91.
[22] T. C. Rueden, C. H. Mark, W. E. Kevin, Microscopy and Microanalysis 22. S3 (2016), 2066-2067.
[23] E. Gering, C. Atkinson, J. Parasitol 90 (4) (2004) 81-879.
[24] T. J. Collins, McMaster Biophotonics Facility, McMaster University, Hamilton, ON, Canada Bio Techniques 43(S1) (2007) 25–30.
[25] T. Ferreira, W. Rasband, “ImageJUserGuid”, (2012) http://imagej.nih.gov/ij/docs/guide
[26] J. K. Vizietal, BMCBio informatics, 12(232) (2011).
[27] B. Schmid et al, BMCBio informatics 11(274) (2010).
Cite This Article
  • APA Style

    Chavdar Chilev, Yana Stoycheva, Moussa Dicko, Farida Lamari, Patrick Langlois, et al. (2017). A New Procedure for Porous Material Characterization. International Journal of Science, Technology and Society, 5(4), 131-140. https://doi.org/10.11648/j.ijsts.20170504.22

    Copy | Download

    ACS Style

    Chavdar Chilev; Yana Stoycheva; Moussa Dicko; Farida Lamari; Patrick Langlois, et al. A New Procedure for Porous Material Characterization. Int. J. Sci. Technol. Soc. 2017, 5(4), 131-140. doi: 10.11648/j.ijsts.20170504.22

    Copy | Download

    AMA Style

    Chavdar Chilev, Yana Stoycheva, Moussa Dicko, Farida Lamari, Patrick Langlois, et al. A New Procedure for Porous Material Characterization. Int J Sci Technol Soc. 2017;5(4):131-140. doi: 10.11648/j.ijsts.20170504.22

    Copy | Download

  • @article{10.11648/j.ijsts.20170504.22,
      author = {Chavdar Chilev and Yana Stoycheva and Moussa Dicko and Farida Lamari and Patrick Langlois and Ivan Pentchev},
      title = {A New Procedure for Porous Material Characterization},
      journal = {International Journal of Science, Technology and Society},
      volume = {5},
      number = {4},
      pages = {131-140},
      doi = {10.11648/j.ijsts.20170504.22},
      url = {https://doi.org/10.11648/j.ijsts.20170504.22},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsts.20170504.22},
      abstract = {A new procedure for quantitative characterization of different types of solid materials is proposed. The technique is based on the Scanning Electron Microscopy (SEM) analysis results of porous materials and their processing by the software ImageJ. Several types of porous adsorbents AX21, AC35, GAC250, ACENO and IRH3 activated carbons were investigated. Based on SEM analysis, different characteristics of the samples such as porosity, pore size distribution, bed particles porosity can be obtained. In this study, the particle size, the average macropore size and pore size distributions (PSD) of samples were determined with a new procedure for SEM analysis treatment using ImageJ software. Three distribution functions (Gamma, Weibull and Lognormal) were selected to describe the experimental results. The Lognormal distribution fitted more accurately the experimental data.},
     year = {2017}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - A New Procedure for Porous Material Characterization
    AU  - Chavdar Chilev
    AU  - Yana Stoycheva
    AU  - Moussa Dicko
    AU  - Farida Lamari
    AU  - Patrick Langlois
    AU  - Ivan Pentchev
    Y1  - 2017/07/24
    PY  - 2017
    N1  - https://doi.org/10.11648/j.ijsts.20170504.22
    DO  - 10.11648/j.ijsts.20170504.22
    T2  - International Journal of Science, Technology and Society
    JF  - International Journal of Science, Technology and Society
    JO  - International Journal of Science, Technology and Society
    SP  - 131
    EP  - 140
    PB  - Science Publishing Group
    SN  - 2330-7420
    UR  - https://doi.org/10.11648/j.ijsts.20170504.22
    AB  - A new procedure for quantitative characterization of different types of solid materials is proposed. The technique is based on the Scanning Electron Microscopy (SEM) analysis results of porous materials and their processing by the software ImageJ. Several types of porous adsorbents AX21, AC35, GAC250, ACENO and IRH3 activated carbons were investigated. Based on SEM analysis, different characteristics of the samples such as porosity, pore size distribution, bed particles porosity can be obtained. In this study, the particle size, the average macropore size and pore size distributions (PSD) of samples were determined with a new procedure for SEM analysis treatment using ImageJ software. Three distribution functions (Gamma, Weibull and Lognormal) were selected to describe the experimental results. The Lognormal distribution fitted more accurately the experimental data.
    VL  - 5
    IS  - 4
    ER  - 

    Copy | Download

Author Information
  • LSPM CNRS, University Paris 13, Villetaneuse, France

  • LSPM CNRS, University Paris 13, Villetaneuse, France

  • LSPM CNRS, University Paris 13, Villetaneuse, France

  • LSPM CNRS, University Paris 13, Villetaneuse, France

  • LSPM CNRS, University Paris 13, Villetaneuse, France

  • Department of Chemical Engineering, University of Chemical Technology and Metallurgy, Sofia, Bulgaria

  • Sections