Assessing the Removal Efficiency of Ibuprofen in an Aqueous Solution Using <i>Acacia erioloba</i> Nanoparticles
This study highlights the adsorption efficiency of <i>A. erioloba</i> Seed Nanoparticles (AESNs) in the removal of ibuprofen from water. Ibuprofen is one of the most commonly used drugs in the world and often makes its way into aquatic resources through improper disposal. The AESNs (adso...
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2024-05-01
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| author | Ateeq Rahman Panduleni Shanyenga Shivute Shivaprashanth Kumar Kodicherla |
| author_facet | Ateeq Rahman Panduleni Shanyenga Shivute Shivaprashanth Kumar Kodicherla |
| author_sort | Ateeq Rahman |
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| description | This study highlights the adsorption efficiency of <i>A. erioloba</i> Seed Nanoparticles (AESNs) in the removal of ibuprofen from water. Ibuprofen is one of the most commonly used drugs in the world and often makes its way into aquatic resources through improper disposal. The AESNs (adsorbents) were extracted from the <i>A. erioloba</i> seed pod via dewaxing, alkali treatment, bleaching, and acid hydrolysis to obtain nanoparticles. These nanoparticles were characterized by scanning electron microscopy (SEM) analysis. An ibuprofen solution model was prepared via the dissolution of water–methanol at a ratio of 9:1. A calibration curve was prepared with a standard solution of the ibuprofen in a concentration range of 0.001–0.010 mg/L. The effect of dosage, pH, time, and temperature in each of the prepared ibuprofen concentrations was determined. Fourier–transform infrared spectroscopy (FTIR) was used to determine functional groups, and SEM was used to study the morphology, size, and surface structure of the nanoparticles. UV spectroscopy determined the concentration of ibuprofen after the interaction with the AESN in different parameters, and X-ray diffraction (XRD) was used to determine the crystal structure of the AESN. The Langmuir and Freundlich isotherm models, as well as Brunauer–Emmett–Teller (BET) methods, were applied to optimize the conditions for maximum adsorption and elucidate the surface area of AESNs and the behaviour of AESN as an adsorbent. The BET results indicate that the surface area was found to be 0.7313 m<sup>2</sup>/g and the pore size was 0.001148 cm<sup>3</sup>/g. The R<sup>2</sup> of 0.77 and 0.3710 results indicate that they do not favor both Langmuir and Freundlich isotherm models. The use of a low ibuprofen concentration, i.e., a low dosage, in this study resulted in positive results. |
| format | Article |
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| institution | Kabale University |
| issn | 2504-3900 |
| language | English |
| publishDate | 2024-05-01 |
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| series | Proceedings |
| spelling | doaj-art-7dfd2a4ed3c54906bc2594045a3ce5062025-08-20T03:27:42ZengMDPI AGProceedings2504-39002024-05-0110711810.3390/proceedings2024107018Assessing the Removal Efficiency of Ibuprofen in an Aqueous Solution Using <i>Acacia erioloba</i> NanoparticlesAteeq Rahman0Panduleni Shanyenga Shivute1Shivaprashanth Kumar Kodicherla2School of Science, Faculty of Agriculture, Engineering and Natural Science, Department of Physics, Chemistry & Material Science, University of Namibia, Windhoek 13301, NamibiaDepartment of Civil, Mining and Process Engineering, Namibia University of Science & Technology, 13 Jackson Kaujeua Street, Windhoek 13388, NamibiaDepartment of Civil, Mining and Process Engineering, Namibia University of Science & Technology, 13 Jackson Kaujeua Street, Windhoek 13388, NamibiaThis study highlights the adsorption efficiency of <i>A. erioloba</i> Seed Nanoparticles (AESNs) in the removal of ibuprofen from water. Ibuprofen is one of the most commonly used drugs in the world and often makes its way into aquatic resources through improper disposal. The AESNs (adsorbents) were extracted from the <i>A. erioloba</i> seed pod via dewaxing, alkali treatment, bleaching, and acid hydrolysis to obtain nanoparticles. These nanoparticles were characterized by scanning electron microscopy (SEM) analysis. An ibuprofen solution model was prepared via the dissolution of water–methanol at a ratio of 9:1. A calibration curve was prepared with a standard solution of the ibuprofen in a concentration range of 0.001–0.010 mg/L. The effect of dosage, pH, time, and temperature in each of the prepared ibuprofen concentrations was determined. Fourier–transform infrared spectroscopy (FTIR) was used to determine functional groups, and SEM was used to study the morphology, size, and surface structure of the nanoparticles. UV spectroscopy determined the concentration of ibuprofen after the interaction with the AESN in different parameters, and X-ray diffraction (XRD) was used to determine the crystal structure of the AESN. The Langmuir and Freundlich isotherm models, as well as Brunauer–Emmett–Teller (BET) methods, were applied to optimize the conditions for maximum adsorption and elucidate the surface area of AESNs and the behaviour of AESN as an adsorbent. The BET results indicate that the surface area was found to be 0.7313 m<sup>2</sup>/g and the pore size was 0.001148 cm<sup>3</sup>/g. The R<sup>2</sup> of 0.77 and 0.3710 results indicate that they do not favor both Langmuir and Freundlich isotherm models. The use of a low ibuprofen concentration, i.e., a low dosage, in this study resulted in positive results.https://www.mdpi.com/2504-3900/107/1/18<i>Acacia erioloba</i>ibuprofenwastewaternano particles |
| spellingShingle | Ateeq Rahman Panduleni Shanyenga Shivute Shivaprashanth Kumar Kodicherla Assessing the Removal Efficiency of Ibuprofen in an Aqueous Solution Using <i>Acacia erioloba</i> Nanoparticles Proceedings <i>Acacia erioloba</i> ibuprofen wastewater nano particles |
| title | Assessing the Removal Efficiency of Ibuprofen in an Aqueous Solution Using <i>Acacia erioloba</i> Nanoparticles |
| title_full | Assessing the Removal Efficiency of Ibuprofen in an Aqueous Solution Using <i>Acacia erioloba</i> Nanoparticles |
| title_fullStr | Assessing the Removal Efficiency of Ibuprofen in an Aqueous Solution Using <i>Acacia erioloba</i> Nanoparticles |
| title_full_unstemmed | Assessing the Removal Efficiency of Ibuprofen in an Aqueous Solution Using <i>Acacia erioloba</i> Nanoparticles |
| title_short | Assessing the Removal Efficiency of Ibuprofen in an Aqueous Solution Using <i>Acacia erioloba</i> Nanoparticles |
| title_sort | assessing the removal efficiency of ibuprofen in an aqueous solution using i acacia erioloba i nanoparticles |
| topic | <i>Acacia erioloba</i> ibuprofen wastewater nano particles |
| url | https://www.mdpi.com/2504-3900/107/1/18 |
| work_keys_str_mv | AT ateeqrahman assessingtheremovalefficiencyofibuprofeninanaqueoussolutionusingiacaciaeriolobainanoparticles AT pandulenishanyengashivute assessingtheremovalefficiencyofibuprofeninanaqueoussolutionusingiacaciaeriolobainanoparticles AT shivaprashanthkumarkodicherla assessingtheremovalefficiencyofibuprofeninanaqueoussolutionusingiacaciaeriolobainanoparticles |