1. ZHAW digitalcollection
  2. Life Sciences und Facility Management
  3. Publikationen
  4. Publikationen Life Sciences und Facility Management
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dc.contributor.authorHuber, Petra-
dc.contributor.authorBongartz, Annette-
dc.contributor.authorCezanne, Marie-Louise-
dc.contributor.authorJulius, Nina-
dc.date.accessioned2020-04-30T08:38:39Z-
dc.date.available2020-04-30T08:38:39Z-
dc.date.issued2018-03-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/19968-
dc.descriptionThis publication was winner of the price for the best poster presentation at the 24th IFSCC conference in Seoul, South Korea, 23-25 October, 2017de_CH
dc.description.abstractThe sensorial benefits of cosmetic products are known to have a considerable influence on consumer product choice. Furthermore, descriptors of sensorial impressions or claims are acknowledged as the new “consumer exciter”. Sensory testing methods are powerful tools that can be used to assist in the development of cosmetic products and enhance the effectiveness of marketing and sales campaigns. The objective of this study was to assess whether there is any correlation between sensorial approaches to product evaluation and predictive models derived from instrumental physicochemical measurements and to assess whether sensory perceptions can be predicted by the models. Having confirmed that rheology and texture analysis are excellent tools to evaluate sensory texture attributes during the “pick up”, and some attributes during the “rub out” phase, data from complementary tribological trials are presented and discussed for a better understanding, especially of attributes in the “rub out” and “afterfeel” phases. Sensory panel testing provides valuable and reliable data that is both accurate and reproducible. This remains the “gold standard”. At an early stage of development, predictive models can provide valuable support as prescreening tools. Combined with classical sensorial methods, predictive data modeling has the potential to create value for both the cosmetics industry and the consumer.de_CH
dc.language.isoende_CH
dc.publisherInternational Federation of Societies of Cosmetic Chemistsde_CH
dc.relation.ispartofIFSCC Magazinede_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectSensory testingde_CH
dc.subjectProfilingde_CH
dc.subjectPredictive modelingde_CH
dc.subjectTribologyde_CH
dc.subjectRheologyde_CH
dc.subject.ddc660: Technische Chemiede_CH
dc.titleHow far can we predict sensorial feelings by instrumental modeling?de_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Lebensmittel- und Getränkeinnovation (ILGI)de_CH
zhaw.funding.euNode_CH
zhaw.issue21de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end18de_CH
zhaw.pages.start13de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume1de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedLM-Chemiede_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

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Huber, P., Bongartz, A., Cezanne, M.-L., & Julius, N. (2018). How far can we predict sensorial feelings by instrumental modeling? IFSCC Magazine, 1(21), 13–18.
Huber, P. et al. (2018) ‘How far can we predict sensorial feelings by instrumental modeling?’, IFSCC Magazine, 1(21), pp. 13–18.
P. Huber, A. Bongartz, M.-L. Cezanne, and N. Julius, “How far can we predict sensorial feelings by instrumental modeling?,” IFSCC Magazine, vol. 1, no. 21, pp. 13–18, Mar. 2018.
HUBER, Petra, Annette BONGARTZ, Marie-Louise CEZANNE und Nina JULIUS, 2018. How far can we predict sensorial feelings by instrumental modeling? IFSCC Magazine. März 2018. Bd. 1, Nr. 21, S. 13–18
Huber, Petra, Annette Bongartz, Marie-Louise Cezanne, and Nina Julius. 2018. “How Far Can We Predict Sensorial Feelings by Instrumental Modeling?” IFSCC Magazine 1 (21): 13–18.
Huber, Petra, et al. “How Far Can We Predict Sensorial Feelings by Instrumental Modeling?” IFSCC Magazine, vol. 1, no. 21, Mar. 2018, pp. 13–18.


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