Literature DB >> 25445262

Characterisation of metals in the electronic waste of complex mixtures of end-of-life ICT products for development of cleaner recovery technology.

Z H I Sun1, Y Xiao2, J Sietsma1, H Agterhuis3, G Visser3, Y Yang1.   

Abstract

Recycling of valuable metals from electronic waste, especially complex mixtures of end-of-life information and communication technology (ICT) products, is of great difficulty due to their complexity and heterogeneity. One of the important reasons is the lack of comprehensive characterisation on such materials, i.e. accurate compositions, physical/chemical properties. In the present research, we focus on developing methodologies for the characterisation of metals in an industrially processed ICT waste. The morphology, particle size distribution, compositional distribution, occurrence, liberation as well as the thermo-chemical properties of the ICT waste were investigated with various characterisation techniques, including X-ray Fluorescence Spectrometry (XRF), differential scanning calorimetry (DSC) and scanning electron microscopy (SEM) with energy dispersed spectroscopy (EDS). Due to the high heterogeneity of the material, special sample preparation procedures were introduced to minimise the discrepancies during compositional analyses. As a result, a clearer overview of the ICT waste has been reached. This research provides better understanding of the extractability of each metal and improves the awareness of potential obstacles for extraction. It will lead to smarter decisions during further development of a clean and effective recovery process.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Characterisation; ICT waste; Metal recovery; Process design

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Year:  2014        PMID: 25445262     DOI: 10.1016/j.wasman.2014.09.021

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  1 in total

1.  Enhancement of gold and silver recovery from discarded computer printed circuit boards by Pseudomonas balearica SAE1 using response surface methodology (RSM).

Authors:  Anil Kumar; Harvinder Singh Saini; Sudhir Kumar
Journal:  3 Biotech       Date:  2018-01-29       Impact factor: 2.406

  1 in total

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