In this article, we present a novel and sustainable approach for recycling printed circuit boards (PCBs), potentially enabling the complete transformation of collected waste into reusable raw materials. Our methodology starts with the disassembly of PCBs for the extraction of all electronic componen...
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| Format: | Article |
| Language: | English |
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Académie des sciences
2024-05-01
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| Series: | Comptes Rendus. Chimie |
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| Online Access: | https://comptes-rendus.academie-sciences.fr/chimie/articles/10.5802/crchim.291/ |
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| author | Charpentier, Nicolas M. Xia, Dong Gabriel, Jean-Christophe P. |
| author_facet | Charpentier, Nicolas M. Xia, Dong Gabriel, Jean-Christophe P. |
| author_sort | Charpentier, Nicolas M. |
| collection | DOAJ |
| description | In this article, we present a novel and sustainable approach for recycling printed circuit boards (PCBs), potentially enabling the complete transformation of collected waste into reusable raw materials. Our methodology starts with the disassembly of PCBs for the extraction of all electronic components (ECs). These ECs are then subjected to a classification process using advanced sorting techniques, including machine vision and multi-energy X-ray transmission spectroscopy powered by artificial intelligence, which allows ECs with similar elemental composition to be accurately sorted together. This sorting approach can effectively enrich the target elements up to 10,000 times their original content, enabling their subsequent recovery through dedicated physico-hydrometallurgical processes. These tailored methods offer enhanced efficiency and improved environmental sustainability for recycling valuable and critical elements such as rare earth elements, tantalum, and platinum group metals. Notably, our approach not only demonstrates superior sustainability but also offers increased economic viability, making it a more financially profitable solution. |
| format | Article |
| id | doaj-art-14caeb741c9042a8b2ec0e9ef35c53b1 |
| institution | Kabale University |
| issn | 1878-1543 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | Académie des sciences |
| record_format | Article |
| series | Comptes Rendus. Chimie |
| spelling | doaj-art-14caeb741c9042a8b2ec0e9ef35c53b12025-08-20T03:34:21ZengAcadémie des sciencesComptes Rendus. Chimie1878-15432024-05-0127S451510.5802/crchim.29110.5802/crchim.291Charpentier, Nicolas M.0https://orcid.org/0000-0002-2664-8935Xia, Dong1https://orcid.org/0000-0002-8647-2783Gabriel, Jean-Christophe P.2https://orcid.org/0000-0002-0194-683XUniversité Paris-Saclay, CEA, CNRS, NIMBE, LICSEN, 91191, Gif-sur-Yvette, FranceSCARCE Laboratory, Energy Research Institute @ NTU (ERI@N), Nanyang Technological University, 637553, SingaporeSCARCE Laboratory, Energy Research Institute @ NTU (ERI@N), Nanyang Technological University, 637553, Singapore; Université Paris-Saclay, CEA, CNRS, NIMBE, LICSEN, 91191, Gif-sur-Yvette, FranceIn this article, we present a novel and sustainable approach for recycling printed circuit boards (PCBs), potentially enabling the complete transformation of collected waste into reusable raw materials. Our methodology starts with the disassembly of PCBs for the extraction of all electronic components (ECs). These ECs are then subjected to a classification process using advanced sorting techniques, including machine vision and multi-energy X-ray transmission spectroscopy powered by artificial intelligence, which allows ECs with similar elemental composition to be accurately sorted together. This sorting approach can effectively enrich the target elements up to 10,000 times their original content, enabling their subsequent recovery through dedicated physico-hydrometallurgical processes. These tailored methods offer enhanced efficiency and improved environmental sustainability for recycling valuable and critical elements such as rare earth elements, tantalum, and platinum group metals. Notably, our approach not only demonstrates superior sustainability but also offers increased economic viability, making it a more financially profitable solution.https://comptes-rendus.academie-sciences.fr/chimie/articles/10.5802/crchim.291/RecyclingWaste PCBsMachine visionMulti-energy X-ray transmission |
| spellingShingle | Charpentier, Nicolas M. Xia, Dong Gabriel, Jean-Christophe P. Comptes Rendus. Chimie Recycling Waste PCBs Machine vision Multi-energy X-ray transmission |
| topic | Recycling Waste PCBs Machine vision Multi-energy X-ray transmission |
| url | https://comptes-rendus.academie-sciences.fr/chimie/articles/10.5802/crchim.291/ |