Chiral discrimination of limonene by use of beta-cyclodextrin-coated quartz-crystal-microbalances (QCMs) and data evaluation by artificial neuronal networks.
The enantiomeric composition of the chiral flavoring agent limonene was analyzed by means of a quartz-crystal microbalance (QCM) sensor. As chiral selectors three different modified beta-cyclodextrins were investigated. The selector molecules were applied as mixtures in different polysiloxane matrices. The chiral separation factors alpha for limonene obtained at 30 degrees C by gas chromatography and by use of the QCM sensor were comparable. Evaluation of sensor data was performed by use of an artificial neuronal network (ANN); this enabled prediction of the enantiomeric composition of the gas mixtures.
Fietzek
C
C
Institute of Physical and Theoretical Chemistry, Center of Interface Analysis and Sensors, University of Tübingen, Germany.
Hermle
T
T
Rosenstiel
W
W
Schurig
V
V
D003505:Cyclodextrins / Q000737:chemistry*; D053138:Cyclohexenes; D005069:Evaluation Studies as Topic; D000077222:Limonene; D015394:Molecular Structure; D016571:Neural Networks, Computer; D013237:Stereoisomerism; D013729:Terpenes / Q000737:chemistry / Q000302:isolation & purification*; D013816:Thermodynamics; D047392:beta-Cyclodextrins
D003505:Cyclodextrins; D053138:Cyclohexenes; D013729:Terpenes; D047392:beta-Cyclodextrins; D000077222:Limonene; C031215:betadex