Green and Sustainable Imprinting Technology for Removal of Heavy Metal Ions from Water via Selective Adsorption
Xiaoyu Qiu,
Bingquan Wang,
Xiaoxiao Zhao,
Xiaoyu Zhou and
Rui Wang ()
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Xiaoyu Qiu: School of Environmental Science and Engineering, Shandong University, No. 72 Seaside Road, Qingdao 266237, China
Bingquan Wang: School of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, China
Xiaoxiao Zhao: School of Environmental Science and Engineering, Shandong University, No. 72 Seaside Road, Qingdao 266237, China
Xiaoyu Zhou: School of Environmental Science and Engineering, Shandong University, No. 72 Seaside Road, Qingdao 266237, China
Rui Wang: School of Environmental Science and Engineering, Shandong University, No. 72 Seaside Road, Qingdao 266237, China
Sustainability, 2023, vol. 16, issue 1, 1-24
Abstract:
Revolutionary technological advances have posed new challenges to humans, and modern technology needs to seek new breakthroughs. Imprinting technology, also known as template technology, is a technology based on the interdisciplinary development of polymer chemistry, biochemistry, chemical engineering, and materials science. The polymer prepared with imprinting technology, termed as imprinted polymer, has a memory effect on specific ions and can realize the selective recognition and enrichment of target species. Therefore, imprinting technology has great potential for application in water environment remediation and industrial wastewater treatment, especially for the treatment of low-concentration, toxic, and difficult-to-degrade heavy metal-containing wastewater. Herein, an overview of recent advances in imprinting technology in the field of adsorption and separation is presented, focusing on methods for the synthesis of imprinted polymers and their application to the separation and enrichment of metal ions in water. Finally, we propose several key issues that remain to be solved in the near future.
Keywords: water pollution; heavy metal; imprinting technology; memory effect (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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