Full metadata record
DC FieldValueLanguage
dc.contributor.authorBlank, Imre-
dc.contributor.authorBaggenstoss, Jürg-
dc.contributor.authorPiosson, Luigi-
dc.contributor.authorKerler, Josef-
dc.contributor.authorRytz, Andreas-
dc.contributor.authorPollien, Philippe-
dc.contributor.authorLindinger, Christian-
dc.contributor.authorYeretzian, Chahan-
dc.date.accessioned2018-04-23T09:26:52Z-
dc.date.available2018-04-23T09:26:52Z-
dc.date.issued2011-
dc.identifier.isbn9783902719881de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/5474-
dc.description.abstractRobust 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.de_CH
dc.language.isoende_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectCoffeede_CH
dc.subjectPTR-MSde_CH
dc.subjectCorrelationde_CH
dc.subjectFlavourde_CH
dc.subject.ddc663: Getränketechnologiede_CH
dc.titleAdvanced predictive tools based on holistic and targeted approaches for the analytical-sensory correlation of coffee aromade_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Chemie und Biotechnologie (ICBT)de_CH
zhaw.conference.details5th International Conference on Proton Transfer Reaction Mass Spectrometry and ist Applications, Obergurgl, Austria, 26 January - 2 February 2011de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end102de_CH
zhaw.pages.start99de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewNot specifiedde_CH
zhaw.title.proceedingsContributions : 5th International Conference on Proton Transfer Reaction Mass Spectrometry and ist Applicationsde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

Files in This Item:
There are no files associated with this item.
Show simple item record
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.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.