Jalani, Joyce Cynthia and Zatul Iffah, Mohd Arshad and Shalyda, Md Shaarani and Rohaida, Che Man and Yamani, Laura Navika (2025) Optimization of Victoria Blue R dye decolorization using two-level factorial analysis with garbage enzyme pineapple waste hybrid nanoflowers (GPW-hNFs). Journal of Advanced Research in Micro and Nano Engineering, 32 (1). pp. 23-33. ISSN 2756-8210. (Published)
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Abstract
In Malaysia, the textile industry poses a significant environmental challenge with its dye-containing effluents, and the disposal of ash from palm oil mills exacerbates the issue. This study addresses the critical need for efficient and sustainable methodsto treat dye-containing industrial wastewater, focusing on Victoria Blue R (VBR) dye decolorization. The study explores the optimization of the decolorization process using Garbage Enzyme Pineapple Waste hybrid Nanoflowers (GPW-hNFs) through a two-level factorial analysis. The GPW-hNFs, synthesized from garbage enzyme derived from pineapple waste, serve as a promising enzymatic source for dye degradation. By systematically varying factors such as nanoflower amount, initial dye concentration, pH level, sonication time, and temperature, the study identifies key parameters influencing VBR dye decolorization. Employing statistical tools such as ANOVA and predictive modelling, the study reveals the significance of nanoflower amount, initial dye concentration, and their interaction (AC) in achieving optimal decolorization. The predicted optimum condition, validated experimentally, resulted in a remarkable 61.35% dye decolorization. The high accuracy (99.96%) underscores the efficacy of the two-level factorial analysis in optimizing GPW-hNFs for VBR dye decolorization, offering a promising avenue for sustainable wastewater treatment in the textile industry.
| Item Type: | Article |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Dye decolorization optimization; Garbage enzyme; Hybrid nanoflower; Two-level factorial design; Victoria Blue R dye |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TD Environmental technology. Sanitary engineering T Technology > TP Chemical technology |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Chemical and Process Engineering Technology |
| Depositing User: | Mrs. Nurul Hamira Abd Razak |
| Date Deposited: | 18 Jun 2025 03:23 |
| Last Modified: | 18 Jun 2025 03:23 |
| URI: | http://umpir.ump.edu.my/id/eprint/44855 |
| Download Statistic: | View Download Statistics |
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