Adopting sustainable Jatropha 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 Jatropha 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 concentrat...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Published: |
Multidisciplinary Digital Publishing Institute
2022
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/100130/ |
| _version_ | 1848863241449504768 |
|---|---|
| author | Harun, Nur Haninah Zainal Abidin, Zurina Majid, Umar Adam Abdul Hamid, Mohamad Rezi Abdullah, Abdul Halim Othaman, Rizafizah Harun, Mohd Yusof |
| author_facet | Harun, Nur Haninah Zainal Abidin, Zurina Majid, Umar Adam Abdul Hamid, Mohamad Rezi Abdullah, Abdul Halim Othaman, Rizafizah Harun, Mohd Yusof |
| author_sort | Harun, Nur Haninah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This study aimed to optimize the removal of Cu(II) ions from an aqueous solution using a Jatropha 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 R2 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 (R2 = 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 | 2025-11-15T13:29:47Z |
| format | Article |
| id | upm-100130 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:29:47Z |
| publishDate | 2022 |
| publisher | Multidisciplinary Digital Publishing Institute |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1001302024-07-15T06:25:32Z http://psasir.upm.edu.my/id/eprint/100130/ Adopting sustainable Jatropha oil bio-based polymer membranes as alternatives for environmental remediation Harun, Nur Haninah Zainal Abidin, Zurina Majid, Umar Adam Abdul Hamid, Mohamad Rezi Abdullah, Abdul Halim Othaman, Rizafizah Harun, Mohd Yusof This study aimed to optimize the removal of Cu(II) ions from an aqueous solution using a Jatropha 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 R2 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 (R2 = 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. Multidisciplinary Digital Publishing Institute 2022-08-16 Article PeerReviewed Harun, Nur Haninah and Zainal Abidin, Zurina and Majid, Umar Adam and Abdul Hamid, Mohamad Rezi and Abdullah, Abdul Halim and Othaman, Rizafizah and Harun, Mohd Yusof (2022) Adopting sustainable Jatropha oil bio-based polymer membranes as alternatives for environmental remediation. Polymers, 14 (16). art. no. 3325. pp. 1-19. ISSN 2073-4360 https://www.mdpi.com/2073-4360/14/16/3325 10.3390/polym14163325 |
| spellingShingle | Harun, Nur Haninah Zainal Abidin, Zurina Majid, Umar Adam Abdul Hamid, Mohamad Rezi Abdullah, Abdul Halim Othaman, Rizafizah Harun, Mohd Yusof Adopting sustainable Jatropha oil bio-based polymer membranes as alternatives for environmental remediation |
| title | Adopting sustainable Jatropha oil bio-based polymer membranes as alternatives for environmental remediation |
| title_full | Adopting sustainable Jatropha oil bio-based polymer membranes as alternatives for environmental remediation |
| title_fullStr | Adopting sustainable Jatropha oil bio-based polymer membranes as alternatives for environmental remediation |
| title_full_unstemmed | Adopting sustainable Jatropha oil bio-based polymer membranes as alternatives for environmental remediation |
| title_short | Adopting sustainable Jatropha oil bio-based polymer membranes as alternatives for environmental remediation |
| title_sort | adopting sustainable jatropha oil bio-based polymer membranes as alternatives for environmental remediation |
| url | http://psasir.upm.edu.my/id/eprint/100130/ http://psasir.upm.edu.my/id/eprint/100130/ http://psasir.upm.edu.my/id/eprint/100130/ |