| Title |
Efficient Plastic Recycling and Remolding Circular Economy Using the Technology of Trust-Blockchain |
| ID_Doc |
28484 |
| Authors |
Khadke, S; Gupta, P; Rachakunta, S; Mahata, C; Dawn, S; Sharma, M; Verma, D; Pradhan, A; Krishna, AMS; Ramakrishna, S; Chakrabortty, S; Saianand, G; Sonar, P; Biring, S; Dash, JK; Dalapati, GK |
| Title |
Efficient Plastic Recycling and Remolding Circular Economy Using the Technology of Trust-Blockchain |
| Year |
2021 |
| Published |
Sustainability, 13.0, 16 |
| DOI |
10.3390/su13169142 |
| Abstract |
Global plastic waste is increasing rapidly. In general, densely populated regions generate tons of plastic waste daily, which is sometimes disposed of on land or diverged to sea. Most of the plastics created in the form of waste have complex degradation behavior and are non-biodegradable by nature. These remain intact in the environment for a long time span and potentially originate complications within terrestrial and marine life ecosystems. The strategic management of plastic waste and recycling can preserve environmental species and associated costs. The key contribution in this work focuses on ongoing efforts to utilize plastic waste by introducing blockchain during plastic waste recycling. It is proposed that the efficiency of plastic recycling can be improved enormously by using the blockchain phenomenon. Automation for the segregation and collection of plastic waste can effectively establish a globally recognizable tool using blockchain-based applications. Collection and sorting of plastic recycling are feasible by keeping track of plastic with unique codes or digital badges throughout the supply chain. This approach can support a collaborative digital consortium for efficient plastic waste management, which can bring together multiple stakeholders, plastic manufacturers, government entities, retailers, suppliers, waste collectors, and recyclers. |
| Author Keywords |
blockchain; circular economy; digital badge; supply chain; plastic recycling; circular premium; machine learning |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000690142100001 |
| WoS Category |
Green & Sustainable Science & Technology; Environmental Sciences; Environmental Studies |
| Research Area |
Science & Technology - Other Topics; Environmental Sciences & Ecology |
| PDF |
https://www.mdpi.com/2071-1050/13/16/9142/pdf?version=1629095968
|