Optimizing the photodegradation process of low-density polyethylene using Taguchi's robust statistical design
The present study employs the Taguchi statistical design for optimizing the photodegradation process of low-density polyethylene (LDPE) films by varying five significant parameters i.e., catalyst loading (%), exposure time (in days), pH, size of the films (cm x cm), and temperature (℃), simultaneous...
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Elsevier
2025-07-01
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| Series: | Next Materials |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949822825000802 |
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| author | M.S.S.R. Tejaswini Pankaj Pathak |
| author_facet | M.S.S.R. Tejaswini Pankaj Pathak |
| author_sort | M.S.S.R. Tejaswini |
| collection | DOAJ |
| description | The present study employs the Taguchi statistical design for optimizing the photodegradation process of low-density polyethylene (LDPE) films by varying five significant parameters i.e., catalyst loading (%), exposure time (in days), pH, size of the films (cm x cm), and temperature (℃), simultaneously to determine the maximum photodegradation on LDPE. The physiochemical, morphological, and molecular structural changes were observed in all-nanocomposite (LDPE and catalyst samples) before and after degradation. One way-ANOVA (Analysis of Variance) results demonstrated that catalyst loading, and exposure time were the most influential factors and contributed 65 % and 25 %, respectively to determine the degradation rate. Further, a kinetic study was performed to determine the photo-degradation rate, and it follows first-order photo-kinetics model. The maximum photodegradation was observed for that LDPE sample that was loaded with 12 % catalyst with a pH of 6 at 45°C that was exposed to the UV light for 10 days in a photoreactor, it degraded most efficiently with a weight loss of 16.25 %. Additionally, recyclability studies confirmed that stability and reusability of TiO2 as a photocatalyst for carrying out degradation experiments upto three consecutive cycles. Moreover, there is a high co-relation between predicted and experimental data with R2> 0.96, which demonstrates the effectiveness of the prediction with the maximum degradation of LDPE film. |
| format | Article |
| id | doaj-art-331afe1ef3294140b24db685c29b41a3 |
| institution | DOAJ |
| issn | 2949-8228 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Next Materials |
| spelling | doaj-art-331afe1ef3294140b24db685c29b41a32025-08-20T02:55:13ZengElsevierNext Materials2949-82282025-07-01810056210.1016/j.nxmate.2025.100562Optimizing the photodegradation process of low-density polyethylene using Taguchi's robust statistical designM.S.S.R. Tejaswini0Pankaj Pathak1Department of Chemistry, Vignan’s Foundation for Science, Technology and Research, Vadlamudi, Guntur, Andhra Pradesh 522213, India; Resource Management Lab, Department of Environmental Science and Engineering, SRM University AP, Andhra Pradesh 522240, IndiaResource Management Lab, Department of Environmental Science and Engineering, SRM University AP, Andhra Pradesh 522240, India; Corresponding author.The present study employs the Taguchi statistical design for optimizing the photodegradation process of low-density polyethylene (LDPE) films by varying five significant parameters i.e., catalyst loading (%), exposure time (in days), pH, size of the films (cm x cm), and temperature (℃), simultaneously to determine the maximum photodegradation on LDPE. The physiochemical, morphological, and molecular structural changes were observed in all-nanocomposite (LDPE and catalyst samples) before and after degradation. One way-ANOVA (Analysis of Variance) results demonstrated that catalyst loading, and exposure time were the most influential factors and contributed 65 % and 25 %, respectively to determine the degradation rate. Further, a kinetic study was performed to determine the photo-degradation rate, and it follows first-order photo-kinetics model. The maximum photodegradation was observed for that LDPE sample that was loaded with 12 % catalyst with a pH of 6 at 45°C that was exposed to the UV light for 10 days in a photoreactor, it degraded most efficiently with a weight loss of 16.25 %. Additionally, recyclability studies confirmed that stability and reusability of TiO2 as a photocatalyst for carrying out degradation experiments upto three consecutive cycles. Moreover, there is a high co-relation between predicted and experimental data with R2> 0.96, which demonstrates the effectiveness of the prediction with the maximum degradation of LDPE film.http://www.sciencedirect.com/science/article/pii/S2949822825000802Low-density polyethyleneDegradationPhotocatalysisOptimizationAnalysis of variance |
| spellingShingle | M.S.S.R. Tejaswini Pankaj Pathak Optimizing the photodegradation process of low-density polyethylene using Taguchi's robust statistical design Next Materials Low-density polyethylene Degradation Photocatalysis Optimization Analysis of variance |
| title | Optimizing the photodegradation process of low-density polyethylene using Taguchi's robust statistical design |
| title_full | Optimizing the photodegradation process of low-density polyethylene using Taguchi's robust statistical design |
| title_fullStr | Optimizing the photodegradation process of low-density polyethylene using Taguchi's robust statistical design |
| title_full_unstemmed | Optimizing the photodegradation process of low-density polyethylene using Taguchi's robust statistical design |
| title_short | Optimizing the photodegradation process of low-density polyethylene using Taguchi's robust statistical design |
| title_sort | optimizing the photodegradation process of low density polyethylene using taguchi s robust statistical design |
| topic | Low-density polyethylene Degradation Photocatalysis Optimization Analysis of variance |
| url | http://www.sciencedirect.com/science/article/pii/S2949822825000802 |
| work_keys_str_mv | AT mssrtejaswini optimizingthephotodegradationprocessoflowdensitypolyethyleneusingtaguchisrobuststatisticaldesign AT pankajpathak optimizingthephotodegradationprocessoflowdensitypolyethyleneusingtaguchisrobuststatisticaldesign |