Application of RSM and ANN for optimization and modeling of biosorption of chromium(VI) using cyanobacterial biomass

Application of RSM and ANN for optimization and modeling of biosorption of chromium(VI) using cyanobacterial biomass

Abstract Proper treatment of heavy metal ions present in wastewaters is a major concern. With extensive usage in various industries, Cr(VI) contamination has become threatening for the environment. Biosorption is a favorable technique for heavy metals removal. In the present study, dried cyanobacter...

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Bibliographic Details
Main Authors: Sushovan Sen, Somnath Nandi, Susmita Dutta
Format: Article
Language:English
Published: SpringerOpen 2018-08-01
Series:Applied Water Science
Subjects:
Artificial neural network
Biosorption
Chromium
Cyanobacteria
Response surface methodology
Online Access:http://link.springer.com/article/10.1007/s13201-018-0790-y

Internet

http://link.springer.com/article/10.1007/s13201-018-0790-y

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