A statistical experimental investigation on arsenic removal using capacitive deionization

Wei Zhang, Mohamed Mossad, Javad Sadoghi Yazdi, Linda Zou

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

In this study, arsenic removal from water by a solar-powered capacitive deionization (CDI) unit was investigated. The Box–Behnken statistical experiment design (BBD) as an example of response surface methodology was used to investigate the effects of major process parameters. Initial arsenic concentration, pH, and background sodium chloride concentration were selected as independent variables in BBD, while arsenic removal was considered as the response function. The predicted values of arsenic removal obtained using the response functions were in good agreement with the experimental data. The current CDI technology was found to be an effective and reliable alternative for arsenic removal from water with higher than 80% removal achieved in all designated experiments. In general, CDI removal of arsenate ions favors higher pH and lower salinity conditions. This study showed that BBD methodology was an efficient and feasible approach in predicting the effects of different experimental conditions during an arsenate removal process by CDI.

Original languageBritish English
Pages (from-to)3254-3260
Number of pages7
JournalDesalination and Water Treatment
Volume57
Issue number7
DOIs
StatePublished - 7 Feb 2016

Keywords

  • Arsenic removal
  • Capacitive deionization
  • Solar power
  • Statistical design

Fingerprint

Dive into the research topics of 'A statistical experimental investigation on arsenic removal using capacitive deionization'. Together they form a unique fingerprint.

Cite this