scholarly journals Electrolytic Cobalt Removal in Wastewater

2016 ◽  
Vol 07 (05) ◽  
pp. 728-733 ◽  
Author(s):  
Isabela O. Santos ◽  
Isaque C. A. Santos ◽  
Leandro V. Pontual ◽  
Luciane P. C. Monteiro ◽  
Fernando B. Mainier
Entropy ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. 387
Author(s):  
Yiting Liang ◽  
Yuanhua Zhang ◽  
Yonggang Li

A mechanistic kinetic model of cobalt–hydrogen electrochemical competition for the cobalt removal process in zinc hydrometallurgical was proposed. In addition, to overcome the parameter estimation difficulties arising from the model nonlinearities and the lack of information on the possible value ranges of parameters to be estimated, a constrained guided parameter estimation scheme was derived based on model equations and experimental data. The proposed model and the parameter estimation scheme have two advantages: (i) The model reflected for the first time the mechanism of the electrochemical competition between cobalt and hydrogen ions in the process of cobalt removal in zinc hydrometallurgy; (ii) The proposed constrained parameter estimation scheme did not depend on the information of the possible value ranges of parameters to be estimated; (iii) the constraint conditions provided in that scheme directly linked the experimental phenomenon metrics to the model parameters thereby providing deeper insights into the model parameters for model users. Numerical experiments showed that the proposed constrained parameter estimation algorithm significantly improved the estimation efficiency. Meanwhile, the proposed cobalt–hydrogen electrochemical competition model allowed for accurate simulation of the impact of hydrogen ions on cobalt removal rate as well as simulation of the trend of hydrogen ion concentration, which would be helpful for the actual cobalt removal process in zinc hydrometallurgy.


2021 ◽  
pp. 100135
Author(s):  
Shohre Tabibi ◽  
Mohsen Moussavi ◽  
Hadi Adlo

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1177
Author(s):  
Charikleia Prochaska ◽  
George Gallios

In this study, a combined technique of bibliometric and social network analysis was applied on research articles, related to the application of nano-adsorbents for cobalt removal from wastewater, published in Scopus database up to 2020. The results revealed that the first relative research article appeared in the Scopus database in the year 2002. The total output of research articles reached 214 in the year 2020. Published research articles of the years 2014–2020, added up to 83.6% of total articles. King Saud University of Saudi Arabia, Chinese Academy of Science, and LUT University of Finland were found to serve as the gatekeepers who control information flows in the network of the most prolific institutions, while cooperation between China, Saudi Arabia, and United States was also identified. On average, the most prolific authors cooperated with five others, while the top 10 cited publications appeared to represent a sparse and weakly interconnected network of co-authors. Graphene oxide was the most prominent nano-adsorbent among the top 10 cited publications, and their respective co-citations network visualization helped in capturing the value of certain citations to the evolution of the research on the topic, putting thus scientific work impact assessment to a different perspective.


2018 ◽  
Vol 35 (5) ◽  
pp. 493-500 ◽  
Author(s):  
Francesco Tortora ◽  
Valentina Innocenzi ◽  
Ida De Michelis ◽  
Francesco Vegliò ◽  
Giuseppe Mazziotti di Celso ◽  
...  

2018 ◽  
Vol 38 (s1) ◽  
pp. S352-S365 ◽  
Author(s):  
Araceli Rodríguez ◽  
Patricia Sáez ◽  
Eduardo Díez ◽  
José Maria Gómez ◽  
Juan García ◽  
...  

2009 ◽  
Vol 45 (3) ◽  
pp. 311-319 ◽  
Author(s):  
R. D. Apostolova ◽  
E. M. Shembel’ ◽  
I. Talyosef ◽  
J. Grinblat ◽  
B. Markovsky ◽  
...  

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