Integrated approach in LDPE degradation - An application using Winogradsky column, computational modeling, and pathway prediction
| Autor: | H Rishin, Thirumal Kumar D, Monisha Vetriselvan, George Priya Doss C, Veena Gayathri Krishnaswamy, Sagaya Jansi R, Rajalakshmi Sridharan |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Pollution
Environmental Engineering biology Health Toxicology and Mutagenesis media_common.quotation_subject chemistry.chemical_element Polyethylene biology.organism_classification Pulp and paper industry Sulfur Pseudomonas stutzeri chemistry.chemical_compound Low-density polyethylene chemistry Oxidizing agent Environmental Chemistry Degradation (geology) Winogradsky column Waste Management and Disposal media_common |
| Zdroj: | Journal of hazardous materials. 412 |
| ISSN: | 1873-3336 |
| Popis: | Plastic pollution in the current scenario requires a sustainable and eco-friendly treatment process. Single-use plastics accumulate more than recyclable plastic wastes. Low-Density Polyethylene (LDPE) is one among the plastic family with inert characteristics. The traditional method, such as landfilling, develops pollution resistant micro-organisms. It is involved in the exploitation of the native microbes to the fullest. The soil of the Kodungaiyur, agriculture site, and Otteri dumpyard were used, which resulted in nearly 22.97 ± 2.7115%, 15.91667 ± 2.73775%, and 10.74 ± 0.502925% of LDPE degradation in 30 days without nutrient supplements. The enrichment of the column by organic nutrients increased the degradation of LDPE. The column enrichment was confirmed by the sulfur oxidizing bacteria (SOB) Escherichia coli and Pseudomonas stutzeri, which produced 195 mg/mL of sulfate ions. The FTIR of the LDPE degradation showed the polymer's oxygenation, while the electron microscopic images revealed cracks. In addition, an attempt was made to fit the experimental time-series data into suitable mathematical models to look at prediction and elementary forecasting. Three mathematical models, namely the customized moving averages model (CMAM), simple liinear regression model (SLRM), and a modified linear regression model (MLRM) with a lag, were able to represent the real experimental data complementarily. |
| Databáze: | OpenAIRE |
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