A comparison of backpropagation and general regression neural networks in quantative trace metal analysis using anodic stripping voltammetry and cybernetic instrumentation

1994 ◽  
Vol 2 (3) ◽  
pp. 168-178
Author(s):  
Howard S. Manwaring
Keyword(s):  
Neural Networks ◽  
Trace Metal ◽  
Anodic Stripping Voltammetry ◽  
Stripping Voltammetry ◽  
Metal Analysis ◽  
Trace Metal Analysis ◽  
Anodic Stripping ◽  
General Regression Neural Networks ◽  
General Regression

Temperature-Programmable Furnace for Ashing of Foods in Trace Metal Analysis

1977 ◽  
Vol 60 (1) ◽  
pp. 239-240
Author(s):  
Walter Holak
Keyword(s):  
Trace Metal ◽  
Anodic Stripping Voltammetry ◽  
Stripping Voltammetry ◽  
Differential Pulse ◽  
Atomic Absorption Spectrophotometry ◽  
Metal Analysis ◽  
Trace Metal Analysis ◽  
Absorption Spectrophotometry ◽  
Anodic Stripping ◽  
Cadmium Lead

Abstract The use of a programmable furnace in preparing samples for determining cadmium, lead, copper, and zinc by differential pulse anodic stripping voltammetry or atomic absorption spectrophotometry is convenient and timesaving. Recovery data for these 4 metals in various foods (tuna, sardines, and milk) were 93— 96% for 0.01—1 ppm cadmium, 96—114% for 0.05—5 ppm lead, 100—108% for 2—10 ppm copper, and 97% for 10 ppm zinc.

scholarly journals Disposable microfabricated bismuth microelectrode arrays for trace metal analysis by stripping voltammetry

2011 ◽  
Vol 25 ◽  
pp. 880-883 ◽  
Author(s):  
Christos Kokkinos ◽  
Anastasios Economou ◽  
Ioannis Raptis ◽  
Thanassis Speliotis
Keyword(s):  
Trace Metal ◽  
Microelectrode Arrays ◽  
Stripping Voltammetry ◽  
Metal Analysis ◽  
Trace Metal Analysis
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