Optimization of Process Condition on Fabrication of Porous Hydroxyapatite Bodies Using Banana Midrib as Template by Response Surface Methodology
Optimum process condition of preparation of porous hydroxyapatite bodies has been successfully achieved using response surface methodology. This optimum process condition is gotten by optimizing the three parameters: porosity, density and compressive strength, through response surface methodology ba...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-09-01
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| Series: | Journal of Natural Fibers |
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| Online Access: | http://dx.doi.org/10.1080/15440478.2020.1848698 |
| _version_ | 1797680071805239296 |
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| author | Ahmad Fadli Komalasari Feblil Huda Toni Ardi Ilham Habib |
| author_facet | Ahmad Fadli Komalasari Feblil Huda Toni Ardi Ilham Habib |
| author_sort | Ahmad Fadli |
| collection | DOAJ |
| description | Optimum process condition of preparation of porous hydroxyapatite bodies has been successfully achieved using response surface methodology. This optimum process condition is gotten by optimizing the three parameters: porosity, density and compressive strength, through response surface methodology based on central composite design using design-Expert software. This research used replica method to produce porous hydroxyapatite bodies. Analysis of XRD, SEM, and compressive strength test are used to characterize the produced porous hydroxyapatite bodies. The results were then evaluated by response surface methodology method using design-Expert software. Porous hydroxyapatite was characterized by using XRD, SEM, and compressive strength test. Porous hydroxyapatite bodies were obtained with 54.3–65.4% porosity, 1.085–1.436 g/cm3 density, 1.4–6.8 MPa compressive strength, and 70.68–89.13 µm pore sizes. The RSM results revealed that density and porosity were affected by the parameters with R2 0.9218 and 0.9902, respectively, and R2adj 0.8513 and 0.9814, respectively. The optimum condition was obtained at process condition of 9 g hydroxyapatite, 12% sago starch, and 2.5%wt darvan821A with compressive strength response 5.7 MPa, 63.1% porosity, and 1.159 g/cm3 density. The desirability value was 0.795 which was close to 1.0 and considered as acceptable value. |
| first_indexed | 2024-03-11T23:24:22Z |
| format | Article |
| id | doaj.art-0e14c748d5a641e2afb5cc24052d4d06 |
| institution | Directory Open Access Journal |
| issn | 1544-0478 1544-046X |
| language | English |
| last_indexed | 2024-03-11T23:24:22Z |
| publishDate | 2022-09-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Journal of Natural Fibers |
| spelling | doaj.art-0e14c748d5a641e2afb5cc24052d4d062023-09-20T13:04:25ZengTaylor & Francis GroupJournal of Natural Fibers1544-04781544-046X2022-09-011993378339310.1080/15440478.2020.18486981848698Optimization of Process Condition on Fabrication of Porous Hydroxyapatite Bodies Using Banana Midrib as Template by Response Surface MethodologyAhmad Fadli0Komalasari1Feblil Huda2Toni Ardi3Ilham Habib4University of RiauUniversity of RiauUniversity of RiauUniversity of RiauUniversity of RiauOptimum process condition of preparation of porous hydroxyapatite bodies has been successfully achieved using response surface methodology. This optimum process condition is gotten by optimizing the three parameters: porosity, density and compressive strength, through response surface methodology based on central composite design using design-Expert software. This research used replica method to produce porous hydroxyapatite bodies. Analysis of XRD, SEM, and compressive strength test are used to characterize the produced porous hydroxyapatite bodies. The results were then evaluated by response surface methodology method using design-Expert software. Porous hydroxyapatite was characterized by using XRD, SEM, and compressive strength test. Porous hydroxyapatite bodies were obtained with 54.3–65.4% porosity, 1.085–1.436 g/cm3 density, 1.4–6.8 MPa compressive strength, and 70.68–89.13 µm pore sizes. The RSM results revealed that density and porosity were affected by the parameters with R2 0.9218 and 0.9902, respectively, and R2adj 0.8513 and 0.9814, respectively. The optimum condition was obtained at process condition of 9 g hydroxyapatite, 12% sago starch, and 2.5%wt darvan821A with compressive strength response 5.7 MPa, 63.1% porosity, and 1.159 g/cm3 density. The desirability value was 0.795 which was close to 1.0 and considered as acceptable value.http://dx.doi.org/10.1080/15440478.2020.1848698hydroxyapatitedensityporositycompressive strengthporous hydroxyapatiteresponse surface methodology |
| spellingShingle | Ahmad Fadli Komalasari Feblil Huda Toni Ardi Ilham Habib Optimization of Process Condition on Fabrication of Porous Hydroxyapatite Bodies Using Banana Midrib as Template by Response Surface Methodology Journal of Natural Fibers hydroxyapatite density porosity compressive strength porous hydroxyapatite response surface methodology |
| title | Optimization of Process Condition on Fabrication of Porous Hydroxyapatite Bodies Using Banana Midrib as Template by Response Surface Methodology |
| title_full | Optimization of Process Condition on Fabrication of Porous Hydroxyapatite Bodies Using Banana Midrib as Template by Response Surface Methodology |
| title_fullStr | Optimization of Process Condition on Fabrication of Porous Hydroxyapatite Bodies Using Banana Midrib as Template by Response Surface Methodology |
| title_full_unstemmed | Optimization of Process Condition on Fabrication of Porous Hydroxyapatite Bodies Using Banana Midrib as Template by Response Surface Methodology |
| title_short | Optimization of Process Condition on Fabrication of Porous Hydroxyapatite Bodies Using Banana Midrib as Template by Response Surface Methodology |
| title_sort | optimization of process condition on fabrication of porous hydroxyapatite bodies using banana midrib as template by response surface methodology |
| topic | hydroxyapatite density porosity compressive strength porous hydroxyapatite response surface methodology |
| url | http://dx.doi.org/10.1080/15440478.2020.1848698 |
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