Advanced predictive tools based on holistic and targeted approaches for the analytical-sensory correlation of coffee aroma

Blank, Imre; Baggenstoss, Jürg; Piosson, Luigi; Kerler, Josef; Rytz, Andreas; Pollien, Philippe; Lindinger, Christian; Yeretzian, Chahan

Publication type:	Conference paper
Type of review:	Not specified
Title:	Advanced predictive tools based on holistic and targeted approaches for the analytical-sensory correlation of coffee aroma
Authors:	Blank, Imre Baggenstoss, Jürg Piosson, Luigi Kerler, Josef Rytz, Andreas Pollien, Philippe Lindinger, Christian Yeretzian, Chahan
Proceedings:	Contributions : 5th International Conference on Proton Transfer Reaction Mass Spectrometry and ist Applications
Page(s):	99
Pages to:	102
Conference details:	5th International Conference on Proton Transfer Reaction Mass Spectrometry and ist Applications, Obergurgl, Austria, 26 January - 2 February 2011
Issue Date:	2011
ISBN:	9783902719881
Language:	English
Subjects:	Coffee; PTR-MS; Correlation; Flavour
Subject (DDC):	663: Beverage technology
Abstract:	Robust and reproducible models were developed to predict the sensory profile of espresso coffee from instrumental data using holistic and targeted approaches. The analytical data were obtained either by analyzing headspace constituents by proton transfer reaction mass spectrometry (PTRMS) or by quantifying selected aroma compounds with GC-MS techniques. In both cases the analytical data were correlated with sensory profiles from a trained panel. In the holistic approach, 16 ion traces in the head-space were monitored by PTR-MS. In the targeted approach, several of the 42 aroma compounds exhibited a good correlation to specific sensory descriptorsand may be used as chemical markers. In both approaches, the correlation is based on a knowledge-based standardization and normalization of both datasets that selectively extracts differences in the quality of samples, while reducing the impact of variations on the overall intensity of coffees. Such model is a very useful tool for future development of coffee blends with specific flavour profiles. The results represent a significant progress in correlating sensory with instrumental data exemplified on one of the most complex aromas, i.e. coffee.
URI:	https://digitalcollection.zhaw.ch/handle/11475/5474
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	Life Sciences and Facility Management
Organisational Unit:	Institute of Chemistry and Biotechnology (ICBT)
Appears in collections:	Publikationen Life Sciences und Facility Management

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Blank, I., Baggenstoss, J., Piosson, L., Kerler, J., Rytz, A., Pollien, P., Lindinger, C., & Yeretzian, C. (2011). Advanced predictive tools based on holistic and targeted approaches for the analytical-sensory correlation of coffee aroma [Conference paper]. Contributions : 5th International Conference on Proton Transfer Reaction Mass Spectrometry and Ist Applications, 99–102.

Blank, I. et al. (2011) ‘Advanced predictive tools based on holistic and targeted approaches for the analytical-sensory correlation of coffee aroma’, in Contributions : 5th International Conference on Proton Transfer Reaction Mass Spectrometry and ist Applications, pp. 99–102.

I. Blank et al., “Advanced predictive tools based on holistic and targeted approaches for the analytical-sensory correlation of coffee aroma,” in Contributions : 5th International Conference on Proton Transfer Reaction Mass Spectrometry and ist Applications, 2011, pp. 99–102.

BLANK, Imre, Jürg BAGGENSTOSS, Luigi PIOSSON, Josef KERLER, Andreas RYTZ, Philippe POLLIEN, Christian LINDINGER und Chahan YERETZIAN, 2011. Advanced predictive tools based on holistic and targeted approaches for the analytical-sensory correlation of coffee aroma. In: Contributions : 5th International Conference on Proton Transfer Reaction Mass Spectrometry and ist Applications. Conference paper. 2011. S. 99–102. ISBN 9783902719881

Blank, Imre, Jürg Baggenstoss, Luigi Piosson, Josef Kerler, Andreas Rytz, Philippe Pollien, Christian Lindinger, and Chahan Yeretzian. 2011. “Advanced Predictive Tools Based on Holistic and Targeted Approaches for the Analytical-Sensory Correlation of Coffee Aroma.” Conference paper. In Contributions : 5th International Conference on Proton Transfer Reaction Mass Spectrometry and Ist Applications, 99–102.

Blank, Imre, et al. “Advanced Predictive Tools Based on Holistic and Targeted Approaches for the Analytical-Sensory Correlation of Coffee Aroma.” Contributions : 5th International Conference on Proton Transfer Reaction Mass Spectrometry and Ist Applications, 2011, pp. 99–102.