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Sensors (Basel)

Title:		Automated signal processing applied to volatile-based inspection of greenhouse crops
Author(s):		Jansen R; Hofstee JW; Bouwmeester H; van Henten E;
Address:		"Wageningen University, Farm Technology Group/P.O. Box 17, 6700 AA Wageningen, The Netherlands. JanWillem.Hofstee@wur.nl"
Journal Title:		Sensors (Basel)
Year:		2010
Volume:		20100728
Issue:		8
Page Number:		7122 - 7133
DOI:		10.3390/s100807122
ISSN/ISBN:		1424-8220 (Electronic) 1424-8220 (Linking)
Abstract:		"Gas chromatograph-mass spectrometers (GC-MS) have been used and shown utility for volatile-based inspection of greenhouse crops. However, a widely recognized difficulty associated with GC-MS application is the large and complex data generated by this instrument. As a consequence, experienced analysts are often required to process this data in order to determine the concentrations of the volatile organic compounds (VOCs) of interest. Manual processing is time-consuming, labour intensive and may be subject to errors due to fatigue. The objective of this study was to assess whether or not GC-MS data can also be automatically processed in order to determine the concentrations of crop health associated VOCs in a greenhouse. An experimental dataset that consisted of twelve data files was processed both manually and automatically to address this question. Manual processing was based on simple peak integration while the automatic processing relied on the algorithms implemented in the MetAlign software package. The results of automatic processing of the experimental dataset resulted in concentrations similar to that after manual processing. These results demonstrate that GC-MS data can be automatically processed in order to accurately determine the concentrations of crop health associated VOCs in a greenhouse. When processing GC-MS data automatically, noise reduction, alignment, baseline correction and normalisation are required"
Keywords:		"Algorithms Crops, Agricultural/*chemistry Environment, Controlled *Gas Chromatography-Mass Spectrometry Signal Processing, Computer-Assisted/*instrumentation Software Volatile Organic Compounds/*analysis automated greenhouse plant volatiles signal process;"
Notes:		"MedlineJansen, Roel Hofstee, Jan Willem Bouwmeester, Harro van Henten, Eldert eng Research Support, Non-U.S. Gov't Switzerland 2010/01/01 Sensors (Basel). 2010; 10(8):7122-33. doi: 10.3390/s100807122. Epub 2010 Jul 28"