Optimization of avocado seed nanoparticle extract (ASNE) as green inhibitor on API X65 steel corrosion using response surface methodology
The use of natural products as inhibitors has become increasingly popular due to environmental concerns and the need for sustainable corrosion solutions. In this investigation, response surface methodology (RSM) was utilized to optimize the process variable of ASNE on API X65 steel in 1M HCl acid so...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2023/15/matecconf_rapdasa2023_07007.pdf |
| _version_ | 1797343858040766464 |
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| author | Alao Alice Popoola Abimbola Dada Modupeola |
| author_facet | Alao Alice Popoola Abimbola Dada Modupeola |
| author_sort | Alao Alice |
| collection | DOAJ |
| description | The use of natural products as inhibitors has become increasingly popular due to environmental concerns and the need for sustainable corrosion solutions. In this investigation, response surface methodology (RSM) was utilized to optimize the process variable of ASNE on API X65 steel in 1M HCl acid solution through gravimetric and surface analysis. The influence of concentration, temperature, and exposure time on the inhibition efficiency of avocado seed nanoparticle extract (ASNE) was examined using a central composite design (CCD). The optimum values obtained for the highest inhibition of 95.7% were a temperature condition of 25 °C, a concentration of 5 g/L, and exposure time of 24 hours. Microstructural examination of the studied samples showed a significant surface difference, confirming the formation of a protective layer on the steel surface. Experimental data was in good agreement with the model hence, the study provides valuable insights into the use of ASNE as an inhibitor for API X65 steel and demonstrates the effectiveness of RSM in optimizing the inhibition process variables. |
| first_indexed | 2024-03-08T10:53:54Z |
| format | Article |
| id | doaj.art-02ffd515df4743f58bae1b6032d907ec |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-03-08T10:53:54Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-02ffd515df4743f58bae1b6032d907ec2024-01-26T16:40:09ZengEDP SciencesMATEC Web of Conferences2261-236X2023-01-013880700710.1051/matecconf/202338807007matecconf_rapdasa2023_07007Optimization of avocado seed nanoparticle extract (ASNE) as green inhibitor on API X65 steel corrosion using response surface methodologyAlao Alice0Popoola Abimbola1Dada Modupeola2Department of Chemical, Metallurgical, and Materials Engineering, Tshwane University of TechnologyDepartment of Chemical, Metallurgical, and Materials Engineering, Tshwane University of TechnologyDepartment of Chemical, Metallurgical, and Materials Engineering, Tshwane University of TechnologyThe use of natural products as inhibitors has become increasingly popular due to environmental concerns and the need for sustainable corrosion solutions. In this investigation, response surface methodology (RSM) was utilized to optimize the process variable of ASNE on API X65 steel in 1M HCl acid solution through gravimetric and surface analysis. The influence of concentration, temperature, and exposure time on the inhibition efficiency of avocado seed nanoparticle extract (ASNE) was examined using a central composite design (CCD). The optimum values obtained for the highest inhibition of 95.7% were a temperature condition of 25 °C, a concentration of 5 g/L, and exposure time of 24 hours. Microstructural examination of the studied samples showed a significant surface difference, confirming the formation of a protective layer on the steel surface. Experimental data was in good agreement with the model hence, the study provides valuable insights into the use of ASNE as an inhibitor for API X65 steel and demonstrates the effectiveness of RSM in optimizing the inhibition process variables.https://www.matec-conferences.org/articles/matecconf/pdf/2023/15/matecconf_rapdasa2023_07007.pdf |
| spellingShingle | Alao Alice Popoola Abimbola Dada Modupeola Optimization of avocado seed nanoparticle extract (ASNE) as green inhibitor on API X65 steel corrosion using response surface methodology MATEC Web of Conferences |
| title | Optimization of avocado seed nanoparticle extract (ASNE) as green inhibitor on API X65 steel corrosion using response surface methodology |
| title_full | Optimization of avocado seed nanoparticle extract (ASNE) as green inhibitor on API X65 steel corrosion using response surface methodology |
| title_fullStr | Optimization of avocado seed nanoparticle extract (ASNE) as green inhibitor on API X65 steel corrosion using response surface methodology |
| title_full_unstemmed | Optimization of avocado seed nanoparticle extract (ASNE) as green inhibitor on API X65 steel corrosion using response surface methodology |
| title_short | Optimization of avocado seed nanoparticle extract (ASNE) as green inhibitor on API X65 steel corrosion using response surface methodology |
| title_sort | optimization of avocado seed nanoparticle extract asne as green inhibitor on api x65 steel corrosion using response surface methodology |
| url | https://www.matec-conferences.org/articles/matecconf/pdf/2023/15/matecconf_rapdasa2023_07007.pdf |
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