期刊
JOURNAL OF ELECTROANALYTICAL CHEMISTRY
卷 805, 期 -, 页码 75-82出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.jelechem.2017.10.026
关键词
Carbon stencil-printed electrode; Bi modified electrode; Co and Ni detection; Aerosol analysis; Adsorptive cathodic square-wave stripping; voltammetry
资金
- U.S. National Institute for Occupational Safety and Health [OH010662]
- National Institute of Environmental Health Sciences [ES024719]
- Henry group
- Colorado State University
A low-cost electrochemical sensor with Nafion/Bi modification using adsorptive stripping voltammetry for Co and Ni determination in airborne particulate matter and welding fume samples is described. Carbon stencil printed electrodes (CSPEs) manufactured on low-cost PET films were utilized. Dimethylglywdme (DMG) was used as a Co(II) and Ni(11) chelator with selective chemical precipitation for trace electrochemical analysis. Electrochemical studies of the Nafion/Bi-modified CSPE indicated a diffusion-controlled redox reaction for Co and Ni measurements. The Nafion coating decreased the background current and enhanced the measured peak current. Repeatability tests based on changes in percent relative standard deviation (RSD) of peak current showed the electrode could be used at least 15 times before the RSD exceeded 15% (the reported value of acceptable repeatability from Association of Official Analytical Chemists (AOAC)) due to deterioration of electrode surface. Limits of detection were 1 mu g L-1 and 5 mu g L-1 for Co and Ni, respectively, which were comparable to electrochemical sensors requiring more complicated modification procedures. The sensor produced a working range of 1-250 and 5-175 mu g L-1 for Co and Ni, respectively. Interference studies showed no other metal species interfered with Co and Ni measurements using the optimized conditions. Finally, the developed sensors were applied for Co and Ni determination in aerosol samples generated from Co rods and a certified welding-fume reference material, respectively. Validation with ICP-MS showed no statistically different results with 95% confidence between sensor and the ICP methods.
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