Nano–Enabled sensors for detection of arsenic in water

Shalini Thakkar, Ludovic F. Dumée, Manish Gupta, Braj Raj Singh, Wenrong Yang

Research output: Contribution to journalReview articlepeer-review

49 Scopus citations

Abstract

The elevated cases of arsenic contamination reported across the globe have made its early detection and remediation an active area of research. Although, the World Health Organisation has set the maximum provisional value for arsenic in drinking water at 10 parts per billion, yet concentrations as high as 5000 parts per billion are still reported. In human beings, chronic arsenic exposure can culminate into lethal diseases such as cancer. Thus, there is a need for urgent emergence of efficient and reliable detection system. This paper offers an overview of the state-of-art knowledge on current arsenic detection mechanisms. The central agenda of this paper is to develop an understanding into the nano-enabled methods for arsenic detection with an emphasis on strategic fabrication of nanostructures and the modulation of nanomaterial chemistry in order to strengthen the knowledge into novel nano-enabled solutions for arsenic contamination. Towards the end prospects for arsenic detection in water are also prompted.

Original languageBritish English
Article number116538
JournalWater Research
Volume188
DOIs
StatePublished - 1 Jan 2021

Keywords

  • Arsenic detection
  • Electrochemical and optical nanosensor
  • Nano-enabled sensing
  • Nanostructured sensors
  • Smart nanosensors
  • Surface chemistry

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