Back to Search Start Over

Integrated approach in LDPE degradation – An application using Winogradsky column, computational modeling, and pathway prediction.

Authors :
Sridharan, Rajalakshmi
Vetriselvan, Monisha
Krishnaswamy, Veena Gayathri
Jansi R, Sagaya
Rishin, H
Kumar D, Thirumal
Doss C, George Priya
Source :
Journal of Hazardous Materials. Jun2021, Vol. 412, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

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. [Display omitted] • Winogradsky Column (Traditional method) enhanced the LDPE degradation using native microorganisms. • The microbes in the Kodungaiyur dumpsite soil effectively degraded LDPE compared to other sampling sites. • The presence of Sulfur Oxidizing Bacteria confirms the enrichment of the column constructed. • The mathematical model represents the data complimentarily to the biological system. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03043894
Volume :
412
Database :
Academic Search Index
Journal :
Journal of Hazardous Materials
Publication Type :
Academic Journal
Accession number :
149919333
Full Text :
https://doi.org/10.1016/j.jhazmat.2021.125336