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Xianlai Zeng
Researcher at Tsinghua University
Publications - 80
Citations - 5684
Xianlai Zeng is an academic researcher from Tsinghua University. The author has contributed to research in topics: Electronic waste & Environmental pollution. The author has an hindex of 32, co-authored 76 publications receiving 4106 citations. Previous affiliations of Xianlai Zeng include Ministry of Land and Resources of the People's Republic of China & Yale University.
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Recycling of Spent Lithium-Ion Battery: A Critical Review
TL;DR: In this article, the authors review the current status of the recycling processes of spent lithium ion batteries, introduce the structure and components of the batteries, and summarize all available single contacts in batch mode operation, including pretreatment, secondary treatment, and deep recovery.
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Novel approach to recover cobalt and lithium from spent lithium-ion battery using oxalic acid.
TL;DR: A novel recovery process, only combined with oxalic acid leaching and filtering is developed, which can contribute to a short-cut and high-efficiency process of spent LIBs recycling toward a sound closed-loop cycle.
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Minimizing the increasing solid waste through zero waste strategy
TL;DR: In this article, the challenges of solid waste (focusing on industrial waste e-waste, food waste and packaging waste), zero waste practices, and zero waste strategy were discussed to analyze the challenges and opportunities to transform traditional waste management toward zero waste vision.
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Environmental pollution of electronic waste recycling in India: A critical review.
TL;DR: It has been confirmed that contaminates are moving through the food chain via root plant translocation system, to the human body thereby threatening human health, and some possible solution toward in which plants and microbes combine to remediate highly contaminated sites is suggested.
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Uncovering the Recycling Potential of “New” WEEE in China
TL;DR: This study first estimates and predicts China's new WEEE generation for the period of 2010-2030 using material flow analysis and the lifespan model of the Weibull distribution, and determines the amounts of valuable resources encased annually in WEEE, and their dynamic transfer from in-use stock to waste.