Biosorption of Copper (II) Ions Using Coffee Grounds—A Case Study

Anna Młynarczykowska () and Monika Orlof-Naturalna
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Anna Młynarczykowska: Department of Environmental Engineering, Faculty of Civil Engineering and Resource Management, AGH University of Krakow, av. A. Mickiewicza 30, 30-059 Krakow, Poland
Monika Orlof-Naturalna: Department of Environmental Engineering, Faculty of Civil Engineering and Resource Management, AGH University of Krakow, av. A. Mickiewicza 30, 30-059 Krakow, Poland

Sustainability, 2024, vol. 16, issue 17, 1-13

Abstract: Industrial and domestic human activities have a significant impact on the environment, contributing, among other things, to the increased pollution of natural waters. The spread of heavy metals is particularly dangerous to the health and life of living organisms due to the high accumulation potential of, among others, Cr (VI), Zn (II), Cu (II), Cd (II), Fe (II), and Ni (II). In order to remove, concentrate, and/or recover ions of these metals, various physical and/or chemical methods are commonly used. In this study, spent coffee grounds (SCGs) efficiently removed copper ions from simulated aqueous solutions, especially at low metal ion concentrations. Without additional modification, coffee grounds performed comparably to traditional adsorbents like activated carbon or ion exchangers. It was found that used ground coffee grounds effectively removed Cu (II) ions at a wide range of concentrations, with the highest efficiency (over 85%) obtained for dilute solutions. On the other hand, regeneration tests performed using a 10% hydrochloric acid solution successfully restored the coffee residue adsorbent, achieving a desorption efficiency of about 35%. This method concentrated the solution and facilitated efficient metal recovery by minimizing acid usage. The sorbent used is an innovative, cheap, and easy-to-use material with high sorption capabilities.

Keywords: sorption; biosorbent; biowaste; biomass; copper ions removal; sustainable environment (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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