Arsenic remediation form drinking water using sustainable okra biopolymer

  • Muhammad Chaudhary

Student thesis: Master's Thesis

Abstract

During the recent decades, alarming information has arisen about the broad presence of Arsenic [As] in groundwaters used to provide drinking water in numerous nations around the world. The presence [As] has life-threatening effects on human health, particularly the long-term presence of [As] in water used for human consumption can lead to cause cancers of multiple types. This phenomenon has impacted about 230 million around the world. The presence of [As], even at high concentrations, keeps the water colourless, tasteless and odour less. Therefore, complex analytical techniques are required to detect the presence of [As] in drinking water. Furthermore, the sustainable production of [As] free water is very difficult due to the efficiency limitations of conventional water remediation technologies, the high cost, complications of advance systems and large volumes of by-products generation from the treatments. Hence the current thesis was designed to comprehend the existing literature to understand the environmental and public health implications of arsenic in drinking water. Further, to understand the various strategies for the quantification and separation/filtration of arsenic from drinking water and to form method for the purification of water using techniques scientifically favoured in review. The successful review of literature has found that method of adsorption by biopolymers has so far appeared to be the method of choice by outperforming other methods. Therefore, experimental protocol for water purification based upon biopolymer of choice i.e., okra biopolymer for arsenic removal from water was developed and tested and found up to 99% removal efficacy. The across-the-board review and developed experimental protocol for water purification from [As] can be used and handed down by professionals working in water industry, public management and policy making for their current and future research and development.
Date of Award6 Jul 2022
Original languageEnglish
SupervisorMuhammad Usman Ghori (Main Supervisor) & Chenyu Du (Co-Supervisor)

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