To read this content please select one of the options below:

Analytics in Metal Sustainability: Recovery of Non-renewable Resources Using Low-cost Biomaterials

Application of Big Data and Business Analytics

ISBN: 978-1-80043-885-9, eISBN: 978-1-80043-884-2

Publication date: 4 December 2020


Heavy metals play a crucial role in the economic development of any nation. Industries utilizing heavy metals, consequently, emanate a large volume of metal-containing liquid effluents. Since metals are non-renewable and finite resources, their judicious and sustainable use is the key. Hazardous metal-laden water poses threat to human health and ecology. Apart from metals, these industrial effluents also consist of toxic chemicals. Conventional physical–chemical techniques are not efficient enough as it consumes energy and are, therefore, not cost effective.

It is known that biomaterials namely microorganisms, plants, and agricultural biomass have the competence to bind metals, in some cases, selectively, from aqueous medium. This phenomenon is termed as “metal biosorption.” Biosorption has immense potential of becoming an effective alternative over conventional methods. The authors in the present chapter have used secondary data from their previous research work and attempted to develop few strategic models through their feasibility studies for metal sustainability.



Itankar, N., Patil, Y., Rao, P. and Bhat, V. (2020), "Analytics in Metal Sustainability: Recovery of Non-renewable Resources Using Low-cost Biomaterials", Kumari, S., Tripathy, K.K. and Kumbhar, V. (Ed.) Application of Big Data and Business Analytics, Emerald Publishing Limited, Leeds, pp. 25-40.



Emerald Publishing Limited

Copyright © 2021 Emerald Publishing Limited