Abstract
Global plastic pollution is a negative impact on the environment as the production and use of plastic are increasing rapidly. Plastic recycling is a significant step towards a circular economy. Over the decades, much plastic has been in circulation for various applications. Recycling plastic wastes (PW) entails waste sorting using some physical properties including plastic types, colors, and shapes, to produce high-quality recycled plastics. Classification of PWs includes common plastic types: Polyethylene terephthalate (PET), High-density polyethylene (HDPE), Polyvinyl chloride (PVC), Low-density polyethylene (LDPE), Polypropylene (PP), Polystyrene (PS), and others. The traditional method of sorting PW achieves good accuracy but low throughput at an excessive cost. Automated processes in plastic sorting are developed to overcome this. This study analyzes automated sorting techniques and examines bibliometric data on plastic waste research over the past four decades. The Scopus database was used to retrieve statistics on the subject, which were then examined using the bibliometric program in the VOSviewer software. The data visualization was also carried out with VOSviewer. The results of this study can guide future research and provide crucial details to improve plastic waste management.
| Original language | English |
|---|---|
| Pages (from-to) | 63-74 |
| Number of pages | 12 |
| Journal | International Journal of Design and Nature and Ecodynamics |
| Volume | 18 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Feb 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 12 Responsible Consumption and Production
Keywords
- VOSviewer
- automated sorting
- bibliometric analysis
- plastic waste (PW)
- recycling
ASJC Scopus subject areas
- General Environmental Science
- General Agricultural and Biological Sciences
- General Engineering
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