Instrumentation and Methodology for Generation of an Electrochemical Data Base for Pattern Recognition.

Abstract

Instrumentation and methods are presented for determining the Faradaic and capacitive responses of an analytic over a wide range of experimental conditions. Experiments were carried out by a fractional factorial design so that the best experimental conditions or changes in conditions for analytic identification could be determined in a later pattern recognition analysis. Percent ethanol, pH, surfactant concentration, number of cycles, scan rate, and mercury drop hang time all produced changes in cyclic differential capacity curves and cyclic staircase voltammograms which were unique and reproducible. Capacitive and Faradaic responses were determined independently for 19 nitrocompounds under most experimental conditions. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1982
Accession Number
ADA116450

Entities

People

  • S. P. Perone
  • W. Arthur Byers

Organizations

  • Purdue University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Chemical Compounds
  • Chemistry
  • Computers
  • Databases
  • Demographic Cohorts
  • Electrochemistry
  • Electron Transfer
  • Factorial Design
  • Identification
  • Instrumentation
  • Materials
  • Materials Science
  • Military Research
  • Pattern Recognition
  • Production
  • Surface Active Substances
  • United States

Readers

  • Analytical Chemistry
  • Electrochemical Surface Science
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference