Cassava Leaf Nanoparticles (CLNPs) as a Potential Additive to Anti-Corrosion Coatings for Oil and Gas Pipeline
Characterization of synthesized cassava leaf nanoparticles (CLNPs) was carried out using SEM/EDX and Gwyddion software, XRD and TEM for cassava leaves (CL) ball milled at 36, 48, 60 and 72 hours. The morphological study was done using SEM and the Gwyddion software was used to determine the particle...
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University of Kragujevac
2017-03-01
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Series: | Tribology in Industry |
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Online Access: | http://www.tribology.fink.rs/2017-1-07.html |
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author | F.O. Kolawole S.K. Kolawole J.O. Agunsoye S.A. Bello J.A. Adebisi O.C. Okoye S.B. Hassan |
author_facet | F.O. Kolawole S.K. Kolawole J.O. Agunsoye S.A. Bello J.A. Adebisi O.C. Okoye S.B. Hassan |
author_sort | F.O. Kolawole |
collection | DOAJ |
description | Characterization of synthesized cassava leaf nanoparticles (CLNPs) was carried out using SEM/EDX and Gwyddion software, XRD and TEM for cassava leaves (CL) ball milled at 36, 48, 60 and 72 hours. The morphological study was done using SEM and the Gwyddion software was used to determine the particle sizes from the SEM images. The particle size range for the un-milled cassava leaves (CL) was between 1.88 + 0.09 to 19.53 + 0.98 µm. After milling for 36, 48, 60 and 72 hours the average particle sizes were 4.96 + 0.25, 3.51 + 0.18 µm, 86.90 + 4.35, 74.50 + 3.73 nm respectively. Crystallite size of 23.94 + 1.20 nm was obtained by XRD using Scherrer equation after milling for 72 hours and the XRD results revealed the presence of compounds such as SiO2, CaCO3, Ca2(SO4)2H2O and CaC2O4(H2O). Furthermore, TEM was used to determine nanoparticles after milling for 72 hours and the particle size ranged from 9.16 + 0.46 to 58.20 + 2.91 nm for cassava leaf nanoparticles (CLNPs) and EDX results showed trace element of O, Si, Ca, K, Fe and S in the CL milled for 72 hours . FTIR was also carried out to determine the nature of bond that exist in the organic compounds in CLNPs and GCMS analysis was used to reveal the organic compounds that were present in CLNPs. Anti-Corrosion coatings reduces corrosion activities to the bearest minimum. |
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last_indexed | 2024-12-12T12:13:54Z |
publishDate | 2017-03-01 |
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spelling | doaj.art-9ca38633c52246a5be6ac87c15595ca02022-12-22T00:24:48ZengUniversity of KragujevacTribology in Industry0354-89962217-79652017-03-013916372Cassava Leaf Nanoparticles (CLNPs) as a Potential Additive to Anti-Corrosion Coatings for Oil and Gas PipelineF.O. Kolawole0S.K. Kolawole1J.O. Agunsoye2S.A. Bello3J.A. Adebisi4O.C. Okoye5S.B. Hassan6Department of Materials and Metallurgical Engineering, Federal University Oye-Ekiti, Nigeria; Department of Metallurgical and Materials Engineering, University of Lagos, Lagos, NigeriaAfrican University of Science and Technology, Abuja, Nigeria; National Agency for Science and Engineering Infrastructure, Abuja, NigeriaDepartment of Metallurgical and Materials Engineering, University of Lagos, Lagos, NigeriaDepartment of Metallurgical and Materials Engineering, University of Lagos, Lagos, Nigeria; Department of Materials Science and Engineering, Kwara State University, Malete, NigeriaDepartment of Metallurgical and Materials Engineering, University of Lagos, Lagos, Nigeria; Department of Metallurgical and Materials Engineering, University of Ilorin, Ilorin NigeriaDepartment of Mechanical Engineering, Federal University Oye-Ekiti, NigeriaDepartment of Metallurgical and Materials Engineering, University of Lagos, Lagos, NigeriaCharacterization of synthesized cassava leaf nanoparticles (CLNPs) was carried out using SEM/EDX and Gwyddion software, XRD and TEM for cassava leaves (CL) ball milled at 36, 48, 60 and 72 hours. The morphological study was done using SEM and the Gwyddion software was used to determine the particle sizes from the SEM images. The particle size range for the un-milled cassava leaves (CL) was between 1.88 + 0.09 to 19.53 + 0.98 µm. After milling for 36, 48, 60 and 72 hours the average particle sizes were 4.96 + 0.25, 3.51 + 0.18 µm, 86.90 + 4.35, 74.50 + 3.73 nm respectively. Crystallite size of 23.94 + 1.20 nm was obtained by XRD using Scherrer equation after milling for 72 hours and the XRD results revealed the presence of compounds such as SiO2, CaCO3, Ca2(SO4)2H2O and CaC2O4(H2O). Furthermore, TEM was used to determine nanoparticles after milling for 72 hours and the particle size ranged from 9.16 + 0.46 to 58.20 + 2.91 nm for cassava leaf nanoparticles (CLNPs) and EDX results showed trace element of O, Si, Ca, K, Fe and S in the CL milled for 72 hours . FTIR was also carried out to determine the nature of bond that exist in the organic compounds in CLNPs and GCMS analysis was used to reveal the organic compounds that were present in CLNPs. Anti-Corrosion coatings reduces corrosion activities to the bearest minimum.http://www.tribology.fink.rs/2017-1-07.htmlCassavaCharacterizationLeafNanoparticlesSynthesisCoatings |
spellingShingle | F.O. Kolawole S.K. Kolawole J.O. Agunsoye S.A. Bello J.A. Adebisi O.C. Okoye S.B. Hassan Cassava Leaf Nanoparticles (CLNPs) as a Potential Additive to Anti-Corrosion Coatings for Oil and Gas Pipeline Tribology in Industry Cassava Characterization Leaf Nanoparticles Synthesis Coatings |
title | Cassava Leaf Nanoparticles (CLNPs) as a Potential Additive to Anti-Corrosion Coatings for Oil and Gas Pipeline |
title_full | Cassava Leaf Nanoparticles (CLNPs) as a Potential Additive to Anti-Corrosion Coatings for Oil and Gas Pipeline |
title_fullStr | Cassava Leaf Nanoparticles (CLNPs) as a Potential Additive to Anti-Corrosion Coatings for Oil and Gas Pipeline |
title_full_unstemmed | Cassava Leaf Nanoparticles (CLNPs) as a Potential Additive to Anti-Corrosion Coatings for Oil and Gas Pipeline |
title_short | Cassava Leaf Nanoparticles (CLNPs) as a Potential Additive to Anti-Corrosion Coatings for Oil and Gas Pipeline |
title_sort | cassava leaf nanoparticles clnps as a potential additive to anti corrosion coatings for oil and gas pipeline |
topic | Cassava Characterization Leaf Nanoparticles Synthesis Coatings |
url | http://www.tribology.fink.rs/2017-1-07.html |
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