Capacitive Removal of Heavy Metal Ions from Wastewater via an Electro-Adsorption and Electro-Reaction Coupling Process

Minlin Mao, Tingting Yan, Junjie Shen, Jianping Zhang, Dengsong Zhang

Research output: Contribution to journalArticlepeer-review

161 Citations (SciVal)
304 Downloads (Pure)

Abstract

Heavy metals widely exist in wastewater, which is a serious threat to human health or water environment. Highly efficient removal of heavy metal ions from wastewater is a major challenge to wastewater treatment. In this work, capacitive removal of heavy metal ions from wastewater via an electro-adsorption and electro-reaction coupling process was originally demonstrated. The removal efficiency of heavy metal ions in the binary-component solutions containing metal nitrate (10 mg/L) and NaCl (100 mg/L) can reach 99%. Even the removal efficiency of heavy metal ions can be close to 99% in the multi-component solution containing all the seven metal nitrates (10 mg/L for each) and 100 mg/L NaCl. Meanwhile, the electro-adsorption and electro-reaction coupling process maintained excellent regeneration ability even after 20 cycles. Furthermore, the heavy metal ions removal mechanism was proven to be the pseudocapacitive intercalation of heavy metal ions into the layered structure of the employed W18O49/graphene in the electro-adsorption and electro-reaction coupling process. This work demonstrates great potential for general applicability to wastewater treatment.

Original languageEnglish
Pages (from-to)3333-3340
Number of pages8
JournalEnvironmental Science and Technology
Volume55
Issue number5
Early online date19 Feb 2021
DOIs
Publication statusPublished - 2 Mar 2021

Funding

The authors acknowledge the support of the National Natural Science Foundation of China (21906101).

ASJC Scopus subject areas

  • General Chemistry
  • Environmental Chemistry

Fingerprint

Dive into the research topics of 'Capacitive Removal of Heavy Metal Ions from Wastewater via an Electro-Adsorption and Electro-Reaction Coupling Process'. Together they form a unique fingerprint.

Cite this