X-Ray Diffraction XRD method was used to identify six PET polymers samples collected from different dump sites around the city, they were washed crushed and characterised and x-ray diffraction (XRD) analysis was carried out on the samples for identification and the results were compared with literature. The diffractogram finger print patterns generated by the samples were studied and informed discussions were made. The XRD analysis showed that six samples of the PET polymer studied showed triclinic crystalline structure, the samples showed an average specific gravity of 1.33 and their 2θ3 Max Peaks fell within 24-27. In addition the ACD (Å) was ≈0.5, ≈4.99, ≈4.99, ≈4.98, ≈4.97and 4.96 for PET polymer samples A, B, C, D, E and F respectively. The FWHM was 0.5, 0.51, 0.52, 0.52, 0.53, and 0.54 for PET polymer samples A, B, C, D, E and F respectively. These results were consistent with the studies of previous researchers. While the XRD analysis is a good tool that can be used to identify the PET polymers it cannot however, be able to differentiate between PET polymers that are identically similar and produced from different sources, more characterization method may still have to be deployed to overcome these challenges.
Published in | American Journal of Nano Research and Applications (Volume 8, Issue 4) |
DOI | 10.11648/j.nano.20200804.11 |
Page(s) | 58-62 |
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), 2021. Published by Science Publishing Group |
2θ Max Peak, Average Crystalline Dimension (ACD) Å, Percent (%) Crystallinity, PET Identification, X-ray Difraction (XRD) Analysis
[1] | J. Scheirs, and W. Kaminsky, “Feedstock recycling and pyrolysis of waste plastics”. Converting Waste Plastics into Diesel and Other Fuels. John, Wiley & Sons, Ltd., UK, 2006; 363–380. |
[2] | S. R. Ahmad, A new technology for automatic identification and sorting of plastics for recycling. Environ. Technol, vol. 25, pp. 1143–1149, 2004, DOI: 10.1080/0959332508618380. |
[3] | R. D. Dauben, and C. Bunn, “The crystal structure of polyethylene terephthalate”. pg. 531- 542, 2018, Retrieved December 3rd, 2020 from http://rspa.royalsocietypublishing.org/ |
[4] | D. Singh, K. H. Malik, K. C. Gupta, and V. Singh, “X-ray diffraction studies for identification of polyethylene terephthalate fibres”. Indian Journal of Science and Technology, vol. 10, no. 2, pp. 1-4, 2007, DOI: 10.17485/ijst/2017/v10i17/110232. |
[5] | M. A. Shuaibu, and P. A. Mamaza, “Characterisation of polypropylene filled composite using scanning electron microscopy and x-ray diffraction”. International Journal of Innovative Research and Development, vol. 5, no 3, pp. 130-135, 2016. |
[6] | R. Jadhav, and N. C. Debnath, “Computation of X-ray powder diffraction of cement components and its application to phase analysis and hydration performance of OPC cement”. Bulletin of Material Science, vol. 34, no. 1, pp. 1137-1150, 2011, DOI: http://doi.org/10.1007/s12034-011-0134-0 |
[7] | Stutzman, E. P., Feng, P and Bullard, J. W. (2016). Phase analysis of portland cement by combined quantitative X-ray powder diffraction and scanning electron microscopy. Journal of research of national Institute of Standards and Technology, 121(4), 1-61. DOI: http://dx.doi.org/10.6028/jres.121.004. |
[8] | C. J. Humphreys, “The significance of Bragg's law in electron diffraction and microscopy, and Bragg's second law”. Foundation Advances, vol. 69, no. 1, pg. 45-50, 2013, DOI: https://doi.org/10.1107/S0108767312047587 |
[9] | ASTM C 128, “Standard test method for density, relative density (specific gravity), and absorption of fine aggregate”. ASTM International, vol. 3, no. 2, pp. 1-6, 2001, DOI: https://doi.org/ 10.1520/C0128-12.1 |
[10] | ASTM C 29, “Standard test method for bulk density (unit weight) and voids in aggregates”. ASTM International, vol. 7, no. 4, pp. 1-4, 1997. |
[11] | ASTM C 56, (1997). “Standard test method for total evaporable moisture content of aggregate by drying”. ASTM International, 1997, DOI: file:///C:/Users/user/Downloads/C566%20(2).PDF |
[12] | ASTM D 1238, “Test Method for Melt Flow Rates of Thermoplastics by Extrusion Plastometer”. ASTM International. 2013 DOI: https://apandales4.files.wordpress.com/2014/02/d1238-370238-1.pdf |
[13] | G. Farrow, and D. Preston, “Measurement of crystallinity in drawn polyethylene terephthalate fibres by X-ray diffraction”. British Journal of Applied Physics, vol. 11, no. 8, 2002, DOI: 10.1088/0508-3443/11/8/310. |
[14] | V. B, Gupta, A. K. Radhakrishnan and P. K. Chidambareswaran, “Crystal perfection in axially oriented poly(ethy1ene terephthalate) fibers and films and its dependence on process variables”. Journal of Macromolecular Science, vol. 33, no. 2, pp. 185-207, 1994, DOI: 10.1080/00222349408248087. |
[15] | M. Vashista, and S. Paul, “Correlation between full width at half maximum (FWHM) of XRD peak with residual stress on ground surfaces”. Philosophical Magazine, vol. 92, no. 33, pp. 4194-4204, 2012, DOI: 10.1080/14786435.2012.704429. |
[16] | I. K Ejiogu, U. Ibeneme, Y. E. Ishidi, O. G. Tenebe, and M. D. Ayo, “Biodegradable hybrid polymer composite reinforced with coconut shell and sweet date seed (Phoenix dactylifera) powder: a physico‑mechanical study; part A”. Multiscale and Multidisciplinary Modeling, Experiments and Design, vol. 3, pp. 45-51, 2019, DOI: https://doi.org/10.1007/s41939-019-00060-3 |
[17] | I. K. Ejiogu, U. Ibeneme, O. G. Tenebe, M. D. Ayo, “Mosunmade Olukemi Ayejagbara (2019). Natural Fibre Reinforced Polymer Composite (NFRPC) from Waste Polypropylene Filled with Coconut Flour”. International Journal of Engineering Technology and Sciences (IJETS). vol. 6, no. 2, pg. 50-64, 2019, http://dx.doi.org/10.15282/ijets.6.2.2019.1005 |
[18] | M. A. Gondal, M. N. Siddiqui, “Identification of different kinds of plastics using laser induced breakdown spectroscopy for waste management”. J. Environ. Sci. Health Pt A, vol. 42, no. 13, pg. 1989–1997, 2007. |
[19] | N. V. BHA, and R. R. Deshmukh, “X-ray crystallographic studies of polymeric materials”. Indian Journal of Pure and Applied Physics, vol. 40, pp. 361–66, 2002. |
[20] | M. Colakogu, “Damping and vibration analysis of polyethylene fibre composite under varied temperature”. Turkish Journal of Engineering and Environmental Sciences, vol. 30, no. 2, pp. 351-357, 2006. |
[21] | D. Dunson, “Characterization of polymers using dynamic mechanical analysis (DMA)”. Eurofins Material Scieneces, pp. 1-8, 2017, Retrieved December 3rd, 2020 from https://www.eag.com/wp-content/uploads/2017/09/M-022717-Characterization-of-Polymers-using-Dynamic-Mechanical-Analysis.pdf |
[22] | N. V. Bhatt, and R. R. Deshmukh, “X-ray crystallographic studies of polymeric materials”. Indian Journal of pure and Applied Physics, vol. 40, no. 5, pp: 361-366, 2002, DOI: IJPAP 40(5) 361-366.pdf 1 / 6. |
[23] | N. S. Murthy, S. T. Correale, and H. Minor. “Structure of the amorphous phase in crystallizable polymers”. Poly (ethylene terephthalate) Macromolecules 1991 vol. 24, no. 5, pp. 1185-1189.1991, DOI: 10.1021/ma00005a033. |
[24] | Z. A. A. Atif, A. M. Mohammed, and N. M Abbass, “Synthesis and characterization of polymer nanocomposites from methyl acrylate and metal chloride and their application”. Polym. Bull, vol. 77, pp. 5879–5898, 2020. https://doi.org/10.1007/s00289-019-03047-9 |
[25] | A. Elamri, K. Abid, O. Harzallah, A. Lallam. “Characterization of Recycled/ Virgin PET Polymers and their Composites”. American Journal of Nano Research and Application. Special Issue: Nanocomposites Coating and Manufacturing. Vol. 3, No. 4-1, pp. 11-16, 2015, doi: 10.11648/j.nano.s.2015030401.13. |
APA Style
Ibe Kevin Eiogu, Uche Ibeneme, Olukemi Mosunmade Aiyejagbara. (2021). Identification of Polyethylene Terephthalate (PET) Polymer Using X-ray Diffractogarm Method: Part 1. American Journal of Nano Research and Applications, 8(4), 58-62. https://doi.org/10.11648/j.nano.20200804.11
ACS Style
Ibe Kevin Eiogu; Uche Ibeneme; Olukemi Mosunmade Aiyejagbara. Identification of Polyethylene Terephthalate (PET) Polymer Using X-ray Diffractogarm Method: Part 1. Am. J. Nano Res. Appl. 2021, 8(4), 58-62. doi: 10.11648/j.nano.20200804.11
AMA Style
Ibe Kevin Eiogu, Uche Ibeneme, Olukemi Mosunmade Aiyejagbara. Identification of Polyethylene Terephthalate (PET) Polymer Using X-ray Diffractogarm Method: Part 1. Am J Nano Res Appl. 2021;8(4):58-62. doi: 10.11648/j.nano.20200804.11
@article{10.11648/j.nano.20200804.11, author = {Ibe Kevin Eiogu and Uche Ibeneme and Olukemi Mosunmade Aiyejagbara}, title = {Identification of Polyethylene Terephthalate (PET) Polymer Using X-ray Diffractogarm Method: Part 1}, journal = {American Journal of Nano Research and Applications}, volume = {8}, number = {4}, pages = {58-62}, doi = {10.11648/j.nano.20200804.11}, url = {https://doi.org/10.11648/j.nano.20200804.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.nano.20200804.11}, abstract = {X-Ray Diffraction XRD method was used to identify six PET polymers samples collected from different dump sites around the city, they were washed crushed and characterised and x-ray diffraction (XRD) analysis was carried out on the samples for identification and the results were compared with literature. The diffractogram finger print patterns generated by the samples were studied and informed discussions were made. The XRD analysis showed that six samples of the PET polymer studied showed triclinic crystalline structure, the samples showed an average specific gravity of 1.33 and their 2θ3 Max Peaks fell within 24-27. In addition the ACD (Å) was ≈0.5, ≈4.99, ≈4.99, ≈4.98, ≈4.97and 4.96 for PET polymer samples A, B, C, D, E and F respectively. The FWHM was 0.5, 0.51, 0.52, 0.52, 0.53, and 0.54 for PET polymer samples A, B, C, D, E and F respectively. These results were consistent with the studies of previous researchers. While the XRD analysis is a good tool that can be used to identify the PET polymers it cannot however, be able to differentiate between PET polymers that are identically similar and produced from different sources, more characterization method may still have to be deployed to overcome these challenges.}, year = {2021} }
TY - JOUR T1 - Identification of Polyethylene Terephthalate (PET) Polymer Using X-ray Diffractogarm Method: Part 1 AU - Ibe Kevin Eiogu AU - Uche Ibeneme AU - Olukemi Mosunmade Aiyejagbara Y1 - 2021/01/30 PY - 2021 N1 - https://doi.org/10.11648/j.nano.20200804.11 DO - 10.11648/j.nano.20200804.11 T2 - American Journal of Nano Research and Applications JF - American Journal of Nano Research and Applications JO - American Journal of Nano Research and Applications SP - 58 EP - 62 PB - Science Publishing Group SN - 2575-3738 UR - https://doi.org/10.11648/j.nano.20200804.11 AB - X-Ray Diffraction XRD method was used to identify six PET polymers samples collected from different dump sites around the city, they were washed crushed and characterised and x-ray diffraction (XRD) analysis was carried out on the samples for identification and the results were compared with literature. The diffractogram finger print patterns generated by the samples were studied and informed discussions were made. The XRD analysis showed that six samples of the PET polymer studied showed triclinic crystalline structure, the samples showed an average specific gravity of 1.33 and their 2θ3 Max Peaks fell within 24-27. In addition the ACD (Å) was ≈0.5, ≈4.99, ≈4.99, ≈4.98, ≈4.97and 4.96 for PET polymer samples A, B, C, D, E and F respectively. The FWHM was 0.5, 0.51, 0.52, 0.52, 0.53, and 0.54 for PET polymer samples A, B, C, D, E and F respectively. These results were consistent with the studies of previous researchers. While the XRD analysis is a good tool that can be used to identify the PET polymers it cannot however, be able to differentiate between PET polymers that are identically similar and produced from different sources, more characterization method may still have to be deployed to overcome these challenges. VL - 8 IS - 4 ER -