Publication type: | Article in scientific journal |
Type of review: | Peer review (publication) |
Title: | When machine tastes coffee : an instrumental approach to predict the sensory profile of espresso coffee |
Authors: | Lindinger, Christian Labbe, David Pollien, Philippe Rytz, Andreas Juillerat, Marcel A. Yeretzian, Chahan Blank, Imre |
DOI: | 10.1021/ac702196z |
Published in: | Analytical Chemistry |
Volume(Issue): | 80 |
Issue: | 5 |
Page(s): | 1574 |
Pages to: | 1581 |
Issue Date: | 26-Jan-2008 |
Publisher / Ed. Institution: | American Chemical Society |
Publisher / Ed. Institution: | Columbus |
ISSN: | 0003-2700 1520-6882 |
Language: | English |
Subjects: | Proton-transfer-reaction mass-spectrometry (ptr-ms); Sensory; Coffee; Analytical |
Subject (DDC): | 663: Beverage technology |
Abstract: | A robust and reproducible model was developed to predict the sensory profile of espresso coffee from instrumental headspace data. The model is derived from 11 different espresso coffees and validated using 8 additional espressos. The input of the model consists of (i) sensory profiles from a trained panel and (ii) online proton-transfer reaction mass spectrometry (PTR-MS) data. The experimental PTR-MS conditions were designed to simulate those for the sensory evaluation. Sixteen characteristic ion traces in the headspace were quantified by PTR-MS, requiring only 2 min of headspace measurement per espresso. 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. This work represents a significant progress in terms of correlation of sensory with instrumental results exemplified on coffee. |
URI: | https://digitalcollection.zhaw.ch/handle/11475/5455 |
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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Lindinger, C., Labbe, D., Pollien, P., Rytz, A., Juillerat, M. A., Yeretzian, C., & Blank, I. (2008). When machine tastes coffee : an instrumental approach to predict the sensory profile of espresso coffee. Analytical Chemistry, 80(5), 1574–1581. https://doi.org/10.1021/ac702196z
Lindinger, C. et al. (2008) ‘When machine tastes coffee : an instrumental approach to predict the sensory profile of espresso coffee’, Analytical Chemistry, 80(5), pp. 1574–1581. Available at: https://doi.org/10.1021/ac702196z.
C. Lindinger et al., “When machine tastes coffee : an instrumental approach to predict the sensory profile of espresso coffee,” Analytical Chemistry, vol. 80, no. 5, pp. 1574–1581, Jan. 2008, doi: 10.1021/ac702196z.
LINDINGER, Christian, David LABBE, Philippe POLLIEN, Andreas RYTZ, Marcel A. JUILLERAT, Chahan YERETZIAN und Imre BLANK, 2008. When machine tastes coffee : an instrumental approach to predict the sensory profile of espresso coffee. Analytical Chemistry. 26 Januar 2008. Bd. 80, Nr. 5, S. 1574–1581. DOI 10.1021/ac702196z
Lindinger, Christian, David Labbe, Philippe Pollien, Andreas Rytz, Marcel A. Juillerat, Chahan Yeretzian, and Imre Blank. 2008. “When Machine Tastes Coffee : An Instrumental Approach to Predict the Sensory Profile of Espresso Coffee.” Analytical Chemistry 80 (5): 1574–81. https://doi.org/10.1021/ac702196z.
Lindinger, Christian, et al. “When Machine Tastes Coffee : An Instrumental Approach to Predict the Sensory Profile of Espresso Coffee.” Analytical Chemistry, vol. 80, no. 5, Jan. 2008, pp. 1574–81, https://doi.org/10.1021/ac702196z.
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