MS/Nose Instrumentation as a Rapid QC Analytical Tool

Practical Analysis of Flavor and Fragrance Materials

Volumn , Issue , 2011, Pages 155-171

  Marsili, Ray ^a  

^a Marsili Consulting Group   (United States)

Author keywords

Calibrating instrument with known samples geographic areas, shelf life age, flavor scores; ChemSensor software in the Agilent ChemStation program; ChemSensor, for conventional GC MS testing for QC e nose type work; Classification clusters, of coffee types Guatemalan, decaffeinated Guatemalan, Sumatran, and decaffeinated Sumatran, using Gerstel ChemSensor; classification of unknowns, models multivariate algorithms of k nearest neighbor (k NN), or SIMCA; GC MS system, as MS e nose ChemSensor and Pirouette multivariate analysis software; Mass spectrometer based instrument HP 4440A in 1998, Hewlett Packard Co.; MS sensitivity, and sample amount headspace vial temperature and scan range; MS nose instrumentation as a rapid QC analytical tool; Operating principle, differences data collected, conventional GC MS and ChemSensor

Indexed keywords

EID: 84869089221     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9781444343137.ch7     Document Type: Chapter

References (16)

1. Pena, F., Cardenas, S., Gallego, M., and Valcarcel, M. (2002) Characterization of olive oil classes using a ChemSensor and pattern recognition techniques. Journal of the American Oil Chemists Society, 79, 1103-1108.
2. Marsili, R.T. (2002) Combining mass spectrometry and multivariate analysis to make a reliable and versatile electronic nose, Flavor, Fragrance and Odor Analysis (ed. R. Marsili), Marcel Dekker, New York, USA p. 349.
3. Kinton, V.R., Collins, R.J., Kolahgar, B., and Goodner, K.L. (2003) Fast analysis of beverages using a mass spectral based chemical sensor, Gerstel Application Note 4/2003.
4. Kinton, V.R., Whitecavage, J.A., Heiden, A.C., and Gil, C. (2004) Use of a mass spectral based chemical sensor to discriminate food and beverage samples: olive oils and wine as examples, Gerstel ApplicationNote 1/2004.
5. Kinton, V.R., Pfannkoch, E.A., Mabud, M.A., and Dugar, S.M. (2003) Wine discrimination using a mass spectral based chemical sensor, Gerstel Application Note 2/2003.
6. Kolahgar, B. and Heiden, A.C. (2002) Discrimination of different beer sorts and monitoring of the effect of aging by determination of flavor constituents using SPME and a chemical sensor, Gerstel Application Note 11/2002.
7. Marsili, R.T. (2001) SPME-MS-MVA as a rapid technique for assessing oxidation off-flavors in foods, Headspace Analysis of Foods and Flavors: Theory and Practice/ Advances in Experimental Medicine and Biology, Volume 488 (eds R.L. Rouseff and K.R. Cadwallader), Kluwer Academic/Plenum Publishers, New York, USA, p. 56.
8. Pavon, P.J. et al. (2003) A method for the detection of hydrocarbon pollution in soils by headspace mass spectrometry and pattern recognition techniques. Anal. Chem., 75, 2034-2041.
9. Lorenzo, M.I. et al. (2002) Application of headspace-mass spectrometry for differentiating sources of olive oil. Anal. Bioanal. Chem., 374, 1205-1211.
10. Pena, F., Cardenas, S., Gallego, M., and Valcarcel, M. (2003) Direct sampling of orujo oil for determining residual hexane by using a ChemSensor. Journal of the American Oil Chemists Society, 80, 613-618.
11. Vinaixa, M. et al. (2004) Early detection of fungal growth in bakery products by use of an electronic nose based on mass spectrometry. J. Agric. and Food Chemistry, 52, 6068-6074.
12. Saevels, S. et al. (2004) An electronic nose and a mass spectrometry-based electronic nose for assessing apple quality during shelf life. Postharvest Bio. Tech., 31, 9-19.
13. Goodner, K.L. and Kinton, V.R. (2006) Using a mass spectrometer library matching system to identify food products. Proc. Fla. State Hort. Soc., 119, 383-387.
14. Goodner, K.L., Dreher, J.G., and Rouseff, R.L. (2001) The dangers of creating false classifications due to noise in electronic nose and similar multivariate analyses. Sensors and Actuators B, 80, 261-266.
15. Heiden, A.C. et al. (2003) Use of calibration transfer algorithms on a mass spectrometry based chemical sensor-preliminary results. Gerstel Application Note 3/2003.
16. Marsili, R.T. (2000) Shelf-life prediction of processed milk by solid-phase microextraction, mass spectrometry and multivariate analysis. J. Agric. and Food Chemistry, 48, 3470.