Adopting Sustainable <i>Jatropha</i> Oil Bio-Based Polymer Membranes as Alternatives for Environmental Remediation
This study aimed to optimize the removal of Cu(II) ions from an aqueous solution using a <i>Jatropha</i> oil bio-based membrane blended with 0.50 wt% graphene oxide (JPU/GO 0.50 wt%) using a central composite model (CCD) design using response surface methodology. The input factors were t...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Polymers |
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| Online Access: | https://www.mdpi.com/2073-4360/14/16/3325 |
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| author | Nur Haninah Harun Zurina Zainal Abidin Umar Adam Majid Mohamad Rezi Abdul Hamid Abdul Halim Abdullah Rizafizah Othaman Mohd Yusof Harun |
| author_facet | Nur Haninah Harun Zurina Zainal Abidin Umar Adam Majid Mohamad Rezi Abdul Hamid Abdul Halim Abdullah Rizafizah Othaman Mohd Yusof Harun |
| author_sort | Nur Haninah Harun |
| collection | DOAJ |
| description | This study aimed to optimize the removal of Cu(II) ions from an aqueous solution using a <i>Jatropha</i> oil bio-based membrane blended with 0.50 wt% graphene oxide (JPU/GO 0.50 wt%) using a central composite model (CCD) design using response surface methodology. The input factors were the feed concentration (60–140) ppm, pressure (1.5–2.5) bar, and solution pH value (3–5). An optimum Cu(II) ions removal of 87% was predicted at 116 ppm feed concentration, 1.5 bar pressure, and pH 3.7, while the validated experimental result recorded 80% Cu(II) ions removal, with 95% of prediction intervals. A statistically non-significant term was removed from the analysis by the backward elimination method to improve the model’s accuracy. Using the reduction method, the predicted R<sup>2</sup> value was increased from −0.16 (−16%) to 0.88 (88%), suggesting that the reduced model had a good predictive ability. The quadratic regression model was significant (R<sup>2</sup> = 0.98) for the optimization prediction. Therefore, the results from the reduction model implied acceptable membrane performance, offering a better process optimization for Cu(II) ions removal. |
| first_indexed | 2024-03-09T09:50:23Z |
| format | Article |
| id | doaj.art-d2c3510fafce46c4b220cc5f391705e2 |
| institution | Directory Open Access Journal |
| issn | 2073-4360 |
| language | English |
| last_indexed | 2024-03-09T09:50:23Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Polymers |
| spelling | doaj.art-d2c3510fafce46c4b220cc5f391705e22023-12-02T00:11:57ZengMDPI AGPolymers2073-43602022-08-011416332510.3390/polym14163325Adopting Sustainable <i>Jatropha</i> Oil Bio-Based Polymer Membranes as Alternatives for Environmental RemediationNur Haninah Harun0Zurina Zainal Abidin1Umar Adam Majid2Mohamad Rezi Abdul Hamid3Abdul Halim Abdullah4Rizafizah Othaman5Mohd Yusof Harun6Department of Chemical and Environmental Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, MalaysiaDepartment of Chemical and Environmental Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, MalaysiaDepartment of Chemical and Environmental Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, MalaysiaDepartment of Chemical and Environmental Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, MalaysiaDepartment of Chemistry, Faculty of Science, Universiti Putra Malaysia, Serdang 43400, MalaysiaDepartment of Chemical Science and Food Technology, Universiti Kebangsaan Malaysia, Bangi 43600, MalaysiaDepartment of Chemical and Environmental Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, MalaysiaThis study aimed to optimize the removal of Cu(II) ions from an aqueous solution using a <i>Jatropha</i> oil bio-based membrane blended with 0.50 wt% graphene oxide (JPU/GO 0.50 wt%) using a central composite model (CCD) design using response surface methodology. The input factors were the feed concentration (60–140) ppm, pressure (1.5–2.5) bar, and solution pH value (3–5). An optimum Cu(II) ions removal of 87% was predicted at 116 ppm feed concentration, 1.5 bar pressure, and pH 3.7, while the validated experimental result recorded 80% Cu(II) ions removal, with 95% of prediction intervals. A statistically non-significant term was removed from the analysis by the backward elimination method to improve the model’s accuracy. Using the reduction method, the predicted R<sup>2</sup> value was increased from −0.16 (−16%) to 0.88 (88%), suggesting that the reduced model had a good predictive ability. The quadratic regression model was significant (R<sup>2</sup> = 0.98) for the optimization prediction. Therefore, the results from the reduction model implied acceptable membrane performance, offering a better process optimization for Cu(II) ions removal.https://www.mdpi.com/2073-4360/14/16/3325membranefiltrationrenewablebiodegradablesustainable<i>Jatropha</i> |
| spellingShingle | Nur Haninah Harun Zurina Zainal Abidin Umar Adam Majid Mohamad Rezi Abdul Hamid Abdul Halim Abdullah Rizafizah Othaman Mohd Yusof Harun Adopting Sustainable <i>Jatropha</i> Oil Bio-Based Polymer Membranes as Alternatives for Environmental Remediation Polymers membrane filtration renewable biodegradable sustainable <i>Jatropha</i> |
| title | Adopting Sustainable <i>Jatropha</i> Oil Bio-Based Polymer Membranes as Alternatives for Environmental Remediation |
| title_full | Adopting Sustainable <i>Jatropha</i> Oil Bio-Based Polymer Membranes as Alternatives for Environmental Remediation |
| title_fullStr | Adopting Sustainable <i>Jatropha</i> Oil Bio-Based Polymer Membranes as Alternatives for Environmental Remediation |
| title_full_unstemmed | Adopting Sustainable <i>Jatropha</i> Oil Bio-Based Polymer Membranes as Alternatives for Environmental Remediation |
| title_short | Adopting Sustainable <i>Jatropha</i> Oil Bio-Based Polymer Membranes as Alternatives for Environmental Remediation |
| title_sort | adopting sustainable i jatropha i oil bio based polymer membranes as alternatives for environmental remediation |
| topic | membrane filtration renewable biodegradable sustainable <i>Jatropha</i> |
| url | https://www.mdpi.com/2073-4360/14/16/3325 |
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