Real-life application of a QCM-based e-nose: Quantitative characterization of different plant-degradation processes

Analytical and Bioanalytical Chemistry

Volumn 391, Issue 8, 2008, Pages 2897-2903

  Lieberzeit, Peter A ^a   Rehman, Abdul ^a   Najafi, Bita ^a   Dickert, Franz L ^a  

^a UNIVERSITY OF VIENNA   (Austria)

Author keywords

Composting; GC MS; Molecular imprinting; QCM; Sensor array

Indexed keywords

ARSENIC COMPOUNDS; ATMOSPHERIC HUMIDITY; BIOELECTRIC PHENOMENA; CHLORINE COMPOUNDS; COATED MATERIALS; COMPOSTING; COMPUTER GRAPHICS; CONTROL THEORY; DEGRADATION; ESTERS; HYDROCARBONS; LIPIDS; OLEFINS; ORGANIC COMPOUNDS; OXIDE MINERALS; PLASMA WAVES; POLYMERS; PRODUCTION CONTROL; QUARTZ; QUARTZ CRYSTAL MICROBALANCES; SENSITIVITY ANALYSIS; SENSORS; SILICONES; SULFATE MINERALS; VOLATILE ORGANIC COMPOUNDS;

ALIPHATIC ALCOHOLS; ANALYTE; APPROXIMATE ESTIMATION; COMPOSTING PROCESSES; DEGRADATION PROCESSING; FEED BACK LOOPS; GC-MS; MOLECULAR IMPRINTING; MOLECULARLY IMPRINTED POLYMERS; ON-LINE CHARACTERIZATION; QCM; QUANTITATIVE CHARACTERIZATION; QUANTITATIVE MONITORING; QUARTZ CRYSTAL MICRO-BALANCE; RELATIVE HUMIDITIES; SENSOR ARRAY; SENSOR MATERIALS;

PHOTORESISTS;

EID: 49049097664     PISSN: 16182642     EISSN: 16182650     Source Type: Journal    
DOI: 10.1007/s00216-008-2222-6     Document Type: Article

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