Intelligent potentiostat for identification of heavy metals in situ

K. Christidis*, K. Gow, P. Robertson, P. Pollard

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

This article presents a low-cost portable electrochemical instrument capable of on-site identification of heavy metals. The instrument acquires metal-specific voltage and current signals by the application of differential pulse anodic stripping voltammetry. This technique enhances the analytical current and rejects the background current, resulting in a higher signal-to-noise ratio for a better detection limit. The identification of heavy metals is based on an intelligent machine-based method using a multilayer perceptron neural network consisting of three layers of neurons. The neural network is implemented using a 16 bit microcontroller. The system is developed for use in the field in order to avoid expensive and time-consuming procedures and can be used in a variety of situations to help environmental assessment and control. 

Original languageEnglish
Article number014103
Pages (from-to)1-4
Number of pages4
JournalReview of Scientific Instruments
Volume77
Issue number1
DOIs
Publication statusPublished - Jan 2006

ASJC Scopus subject areas

  • Instrumentation
  • Physics and Astronomy (miscellaneous)

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