Citation

BibTex format

@article{Albrecht:2016:10.1039/C5GC02306H,
author = {Albrecht, T and Godfrey, D and Bannock, JH and Kuzmina, O and Welton, T},
doi = {10.1039/C5GC02306H},
journal = {Green Chemistry},
pages = {1930--1937},
title = {A robotic platform for high-throughput electrochemical analysis of chalcopyrite leaching},
url = {http://dx.doi.org/10.1039/C5GC02306H},
volume = {18},
year = {2016}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Cu extraction from chalcopyrite ores is typically a slow process that involves aggressive chemical reagents with significant environmental impact. Ionic liquids (IL) have been proposed as a potentially more benign solution, but the sheer number of IL variants complicates the search for the most efficient solvent systems. Here, we present an automated electrochemical platform that allows for screening of 180 and more leaching samples in parallel with minimal solvent consumption. In a proof-of-concept study, we screen 25 samples with different IL and water contents, and find two orders of magnitude difference in leaching performance within this array. The best performing system is then applied in a tank leaching configuration, with real-time electrochemical monitoring of Cu evolution in solution. All electrochemical data is found to be in excellent agreement with off-line ICP-AES data.
AU - Albrecht,T
AU - Godfrey,D
AU - Bannock,JH
AU - Kuzmina,O
AU - Welton,T
DO - 10.1039/C5GC02306H
EP - 1937
PY - 2016///
SN - 1463-9262
SP - 1930
TI - A robotic platform for high-throughput electrochemical analysis of chalcopyrite leaching
T2 - Green Chemistry
UR - http://dx.doi.org/10.1039/C5GC02306H
UR - http://hdl.handle.net/10044/1/28605
VL - 18
ER -