Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems
This research was to apply the combination of the particle swarm optimization method and artificial neural network training with the aim of building a quantitative model to forecast the size of copper nanoparticles (Cu-NPs) prepared in sodium alginate. Sodium alginate, sodium hydroxide, copper sulfa...
| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado: |
Springer
2016
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| Acceso en liña: | http://psasir.upm.edu.my/id/eprint/43382/1/Simulation%20and%20modeling%20of%20synthesis%20Cu%20nanoparticles%20in%20sodium%20alginate%20media%20by%20means%20of%20expert%20systems.pdf |
| _version_ | 1825929351191855104 |
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| author | Shabanzadeh, Parvaneh Yusof, Rubiyah Shameli, Kamyar Khanehzaei, Hajar |
| author_facet | Shabanzadeh, Parvaneh Yusof, Rubiyah Shameli, Kamyar Khanehzaei, Hajar |
| author_sort | Shabanzadeh, Parvaneh |
| collection | UPM |
| description | This research was to apply the combination of the particle swarm optimization method and artificial neural network training with the aim of building a quantitative model to forecast the size of copper nanoparticles (Cu-NPs) prepared in sodium alginate. Sodium alginate, sodium hydroxide, copper sulfate, hydrazinium hydroxide, and ascorbic acid were used as stabilizer, pH moderator, copper precursor, reducing agent, and antioxidant, respectively. The results showed that the different sizes of Cu-NPs were obtained by changing these functions. Meaning that by increasing the amount of sodium alginate and or increase the volume of hydrazine hydrate, particle sizes of Cu-NPs were reduced. Other variables had the opposite effects due to the increase of the size of the Cu-NPs. The prediction results were remarkably in agreement with the experimental data with a correlation coefficient of 0.99 and a mean square error of 0.0058. |
| first_indexed | 2024-03-06T08:55:30Z |
| format | Article |
| id | upm.eprints-43382 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:55:30Z |
| publishDate | 2016 |
| publisher | Springer |
| record_format | dspace |
| spelling | upm.eprints-433822016-05-19T01:41:16Z http://psasir.upm.edu.my/id/eprint/43382/ Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems Shabanzadeh, Parvaneh Yusof, Rubiyah Shameli, Kamyar Khanehzaei, Hajar This research was to apply the combination of the particle swarm optimization method and artificial neural network training with the aim of building a quantitative model to forecast the size of copper nanoparticles (Cu-NPs) prepared in sodium alginate. Sodium alginate, sodium hydroxide, copper sulfate, hydrazinium hydroxide, and ascorbic acid were used as stabilizer, pH moderator, copper precursor, reducing agent, and antioxidant, respectively. The results showed that the different sizes of Cu-NPs were obtained by changing these functions. Meaning that by increasing the amount of sodium alginate and or increase the volume of hydrazine hydrate, particle sizes of Cu-NPs were reduced. Other variables had the opposite effects due to the increase of the size of the Cu-NPs. The prediction results were remarkably in agreement with the experimental data with a correlation coefficient of 0.99 and a mean square error of 0.0058. Springer 2016 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43382/1/Simulation%20and%20modeling%20of%20synthesis%20Cu%20nanoparticles%20in%20sodium%20alginate%20media%20by%20means%20of%20expert%20systems.pdf Shabanzadeh, Parvaneh and Yusof, Rubiyah and Shameli, Kamyar and Khanehzaei, Hajar (2016) Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems. Research on Chemical Intermediates, 42 (4). pp. 2831-2843. ISSN 0922-6168; ESSN: 1568-5675 http://link.springer.com/article/10.1007%2Fs11164-015-2180-5 10.1007/s11164-015-2180-5 |
| spellingShingle | Shabanzadeh, Parvaneh Yusof, Rubiyah Shameli, Kamyar Khanehzaei, Hajar Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems |
| title | Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems |
| title_full | Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems |
| title_fullStr | Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems |
| title_full_unstemmed | Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems |
| title_short | Simulation and modeling of synthesis Cu nanoparticles in sodium alginate media by means of expert systems |
| title_sort | simulation and modeling of synthesis cu nanoparticles in sodium alginate media by means of expert systems |
| url | http://psasir.upm.edu.my/id/eprint/43382/1/Simulation%20and%20modeling%20of%20synthesis%20Cu%20nanoparticles%20in%20sodium%20alginate%20media%20by%20means%20of%20expert%20systems.pdf |
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