Detection and classification of gaseous sulfur compounds by solid electrolyte cyclic voltammetry of cermet sensor array

Analytica Chimica Acta

Volumn 584, Issue 1, 2007, Pages 78-88

  Kramer, Kirsten E ^a   Rose Pehrsson, Susan L ^a   Hammond, Mark H ^a   Tillett, Duane ^b   Streckert, Holger H ^b  

^a NAVAL RESEARCH LABORATORY   (United States)

^b GENERAL ATOMICS   (United States)

Author keywords

Cermet; Cyclic voltammetry; Gas sensor; Pattern recognition; Probabilistic neural network; Sensor array

Indexed keywords

CERMETS; CYCLIC VOLTAMMETRY; ELECTROCHEMICAL SENSORS; INDUSTRIAL CHEMICALS; NEURAL NETWORKS; PATTERN RECOGNITION; SOLID ELECTROLYTES;

CERMET SENSOR ARRAYS; PROBABILISTIC NEURAL NETWORKS; THRESHOLD-LIMITED VALUE (TLV); TOXIC INDUSTRIAL CHEMICAL (TIC);

SULFUR COMPOUNDS;

CARBON DISULFIDE; ELECTROLYTE; HYDROGEN SULFIDE; INDUSTRIAL CHEMICAL; METAL; SULFUR DERIVATIVE; SULFUR DIOXIDE;

AIR ANALYSIS; AIR POLLUTANT; AIR POLLUTION; ARTICLE; ARTIFICIAL NEURAL NETWORK; CYCLIC POTENTIOMETRY; ELECTRIC CURRENT; ELECTRIC POTENTIAL; ELECTROCHEMICAL ANALYSIS; ELECTRODE; GAS; MAXIMUM ALLOWABLE CONCENTRATION; PREDICTION; PRIORITY JOURNAL; SENSOR; VALIDATION STUDY;

AMMONIA; CARBON DISULFIDE; CARBON MONOXIDE; CERMET CEMENTS; ELECTROCHEMISTRY; ELECTROLYTES; GASES; HYDROGEN SULFIDE; MOLECULAR PROBE TECHNIQUES; SULFUR COMPOUNDS; SULFUR DIOXIDE;

EID: 33846292138     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aca.2006.11.030     Document Type: Article

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