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Abstract

Assessing the Removal Efficiency of Ibuprofen in an Aqueous Solution Using Acacia erioloba Nanoparticles †

by
Ateeq Rahman
1,*,
Panduleni Shanyenga Shivute
2 and
Shivaprashanth Kumar Kodicherla
2
1
School of Science, Faculty of Agriculture, Engineering and Natural Science, Department of Physics, Chemistry & Material Science, University of Namibia, Windhoek 13301, Namibia
2
Department of Civil, Mining and Process Engineering, Namibia University of Science & Technology, 13 Jackson Kaujeua Street, Windhoek 13388, Namibia
*
Author to whom correspondence should be addressed.
Presented at the 1st International Online Conference on Biomimetics (IOCB 2024), 15–17 May 2024; Available online: https://sciforum.net/event/IOCB2024.
Proceedings 2024, 107(1), 18; https://doi.org/10.3390/proceedings2024107018
Published: 15 May 2024

Abstract

:
This study highlights the adsorption efficiency of A. erioloba 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 A. erioloba 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 m2/g and the pore size was 0.001148 cm3/g. The R2 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.

Author Contributions

Project design and main supervision, A.R.; Conducted the project and wrote the abstract, P.S.S.; Performed characterization studies, S.K.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research did not receive any external funding.

Institutional Review Board Statement

Not Applicable.

Informed Consent Statement

Not Applicable.

Data Availability Statement

Data sharing is not applicable.

Conflicts of Interest

The authors declare that there is no conflict of interest.
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Share and Cite

MDPI and ACS Style

Rahman, A.; Shivute, P.S.; Kodicherla, S.K. Assessing the Removal Efficiency of Ibuprofen in an Aqueous Solution Using Acacia erioloba Nanoparticles. Proceedings 2024, 107, 18. https://doi.org/10.3390/proceedings2024107018

AMA Style

Rahman A, Shivute PS, Kodicherla SK. Assessing the Removal Efficiency of Ibuprofen in an Aqueous Solution Using Acacia erioloba Nanoparticles. Proceedings. 2024; 107(1):18. https://doi.org/10.3390/proceedings2024107018

Chicago/Turabian Style

Rahman, Ateeq, Panduleni Shanyenga Shivute, and Shivaprashanth Kumar Kodicherla. 2024. "Assessing the Removal Efficiency of Ibuprofen in an Aqueous Solution Using Acacia erioloba Nanoparticles" Proceedings 107, no. 1: 18. https://doi.org/10.3390/proceedings2024107018

APA Style

Rahman, A., Shivute, P. S., & Kodicherla, S. K. (2024). Assessing the Removal Efficiency of Ibuprofen in an Aqueous Solution Using Acacia erioloba Nanoparticles. Proceedings, 107(1), 18. https://doi.org/10.3390/proceedings2024107018

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