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Related Experiment Video

Updated: Apr 13, 2026

TD-DFT Guided Advanced E-Eye Sensing Technique for On-site Quantification of Fe, Cr, F, and As in the Environmental, Biological, and Food Samples
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Bimetallic nanoparticles for arsenic detection.

Nafiseh Moghimi1, Mamata Mohapatra1, Kam Tong Leung1

  • 1†Department of Chemistry, University of Waterloo, Waterloo, Ontario, Canada N2L3G1.

Analytical Chemistry
|May 5, 2015
PubMed
Summary

New bimetallic nanoparticles offer sensitive detection of arsenic in drinking water. Iron-platinum (FePt) nanoparticles show the best performance for monitoring this toxic heavy metal, crucial for public health risk management.

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Area of Science:

  • Electrochemistry
  • Nanomaterials Science
  • Environmental Science

Background:

  • Heavy metal contamination, particularly arsenic, poses a significant public health risk globally.
  • Effective monitoring of ultralow arsenic concentrations in drinking water is essential for risk management.
  • Existing sensors require high sensitivity for detecting trace amounts of arsenic.

Purpose of the Study:

  • To develop and evaluate bimetallic nanoparticles for sensitive electrochemical detection of arsenic(III) (As(III)).
  • To investigate the synergistic effects of alloying iron with noble metals on sensor performance.
  • To assess the sensor's selectivity and performance in the presence of interfering ions.

Main Methods:

  • Electrochemical deposition of bimetallic nanoparticles (FePt, FeAu, FePd, AuPt) onto a Si(100) substrate.
  • Anodic stripping voltammetry (ASV) for As(III) detection in neutral pH.
  • Performance evaluation including limit of detection (LOD), linear range, and sensitivity.
  • Selectivity testing against interfering ions like Cu(II).

Main Results:

  • Bimetallic Fe-noble metal nanoparticles exhibited enhanced performance compared to pristine noble metal nanoparticles.
  • FePt, FeAu, and FePd nanoparticles demonstrated quantifiable limits of detection and linear ranges for As(III).
  • FePt nanoparticles achieved the best performance with an LOD of 0.8 ppb and a sensitivity of 0.42 μA ppb(-1).
  • The sensor showed good selectivity in the presence of Cu(II) ions.

Conclusions:

  • Bimetallic nanoparticles, particularly FePt, are effective for sensitive electrochemical detection of ultratrace arsenic.
  • The synergistic effect of iron alloying improves the performance of noble metal-based arsenic sensors.
  • These bimetallic nanoparticle sensors show promise for real-world applications in drinking water quality monitoring.