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联合国发布《保护健康和可持续环境权指南》 快报文章
资源环境快报,2024年第9期
作者:  李恒吉
Microsoft Word(21Kb)  |  收藏  |  浏览/下载:502/0  |  提交时间:2024/05/15
United Nations  The right to a healthy and sustainable environment  Circular economy  
UNEP发布《全球废弃物管理展望2024》报告 快报文章
资源环境快报,2024年第5期
作者:  李恒吉
Microsoft Word(17Kb)  |  收藏  |  浏览/下载:590/0  |  提交时间:2024/03/15
UNEP  Integrated waste management  Circular economy  
国际机构发布《循环差距报告2024》 快报文章
资源环境快报,2024年第3期
作者:  牛艺博
Microsoft Word(22Kb)  |  收藏  |  浏览/下载:607/0  |  提交时间:2024/02/15
Circular Economy  Cyclic Utilization  Circularity Gap  
英研究人员提出迈向可持续塑料的路线图 快报文章
资源环境快报,2024年第3期
作者:  廖琴
Microsoft Word(42Kb)  |  收藏  |  浏览/下载:574/0  |  提交时间:2024/02/15
Plastics Economy  Circular Economy  Sustainable Development  
2023年全球循环经济差距报告 快报文章
资源环境快报,2023年第2期
作者:  牛艺博
Microsoft Word(21Kb)  |  收藏  |  浏览/下载:657/0  |  提交时间:2023/01/31
Circular Economy  Gap  Circularity  
欧盟塑料经济与循环经济发展报告 快报文章
资源环境快报,2021年第3期
作者:  李恒吉
Microsoft Word(46Kb)  |  收藏  |  浏览/下载:476/0  |  提交时间:2021/02/15
EEA  circular economy  
Comparing energy and material efficiency rebound effects: an exploration of scenarios in the GEM-E3 macroeconomic model 期刊论文
ECOLOGICAL ECONOMICS, 2020, 173
作者:  Skelton, Alexandra C. H.;  Paroussos, Leonidas;  Allwood, Julian M.
收藏  |  浏览/下载:10/0  |  提交时间:2020/08/18
CGE model  Computable general equilibrium  Rebound effect  Jevon'  s Paradox  Material efficiency  Resource efficiency  Circular economy  
Quantifying the direct network effect for online platforms supporting industrial symbiosis: an agent-based simulation study 期刊论文
ECOLOGICAL ECONOMICS, 2020, 170
作者:  Fraccascia, Luca
收藏  |  浏览/下载:7/0  |  提交时间:2020/07/02
Self-organized industrial symbiosis networks  Circular economy  Online platforms  Agent-based simulation  Network effect  
An engineered PET depolymerase to break down and recycle plastic bottles 期刊论文
NATURE, 2020, 580 (7802) : 216-+
作者:  Zhao, Evan Wenbo;  Liu, Tao;  Jonsson, Erlendur;  Lee, Jeongjae;  Temprano, Israel;  Jethwa, Rajesh B.;  Wang, Anqi;  Smith, Holly;  Carretero-Gonzalez, Javier;  Song, Qilei;  Grey, Clare P.
收藏  |  浏览/下载:86/0  |  提交时间:2020/07/03

Present estimates suggest that of the 359 million tons of plastics produced annually worldwide(1), 150-200 million tons accumulate in landfill or in the natural environment(2). Poly(ethylene terephthalate) (PET) is the most abundant polyester plastic, with almost 70 million tons manufactured annually worldwide for use in textiles and packaging(3). The main recycling process for PET, via thermomechanical means, results in a loss of mechanical properties(4). Consequently, de novo synthesis is preferred and PET waste continues to accumulate. With a high ratio of aromatic terephthalate units-which reduce chain mobility-PET is a polyester that is extremely difficult to hydrolyse(5). Several PET hydrolase enzymes have been reported, but show limited productivity(6,7). Here we describe an improved PET hydrolase that ultimately achieves, over 10 hours, a minimum of 90 per cent PET depolymerization into monomers, with a productivity of 16.7 grams of terephthalate per litre per hour (200 grams per kilogram of PET suspension, with an enzyme concentration of 3 milligrams per gram of PET). This highly efficient, optimized enzyme outperforms all PET hydrolases reported so far, including an enzyme(8,9) from the bacterium Ideonella sakaiensis strain 201-F6 (even assisted by a secondary enzyme(10)) and related improved variants(11-14) that have attracted recent interest. We also show that biologically recycled PET exhibiting the same properties as petrochemical PET can be produced from enzymatically depolymerized PET waste, before being processed into bottles, thereby contributing towards the concept of a circular PET economy.


Computer-aided engineering produces improvements to an enzyme that breaks down poly(ethylene terephthalate) (PET) into its constituent monomers, which are used to synthesize PET of near-petrochemical grade that can be further processed into bottles.


  
The role of local stakeholders in disseminating knowledge for supporting the circular economy: a network analysis approach 期刊论文
ECOLOGICAL ECONOMICS, 2020, 169
作者:  Ghinoi, Stefano;  Silvestri, Francesco;  Steiner, Bodo
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/02
Circular economy  Knowledge networks  Local stakeholders  Brokerage  Social Network Analysis