AI based Sustainable Approach for Metal Extraction from E-Waste: A Comprehensive literature review

Abstract

Due to the overwhelming increase in the electrical and electronic products every year the rate of discarding older or damaged electrical or electronics products has also increased. Proper disposal or recycling of the discarded products of Electrical and Electronic waste is of major concern for research as it contains some harmful substances. There are several literatures being reported for extraction of electronic waste using different methods. Electro chemical, Pyrometallurgical, Hydrometallurgical and Bioleaching are the most enhancing methods to extract metals. Among all these methods, electrochemical is one of the most efficient method reported. (80-95) % of the metal extraction is reported in former mentioned method by using different electrolytes. Additionally, different combinations of electrodes are used to separately extract the metals from E-Waste after the pretreatment and chemical leaching of the Waste. To identify the best efficient electro chemical methods and its challenges for extraction of metals from e-waste, a literature review of research papers has been carried out during the period between 2010 to 2019. This work will conclude the comparative analysis of all these methods for extraction of metals from e-waste based on some factors like: Energy efficiency, Environment friendliness, Economical and Efficient extraction of metals.