| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | How far can we predict sensorial feelings by instrumental modeling? |
| Autor/-in: | Huber, Petra Bongartz, Annette Cezanne, Marie-Louise Julius, Nina |
| et. al: | No |
| Erschienen in: | IFSCC Magazine |
| Band(Heft): | 1 |
| Heft: | 21 |
| Seite(n): | 13 |
| Seiten bis: | 18 |
| Erscheinungsdatum: | Mär-2018 |
| Verlag / Hrsg. Institution: | International Federation of Societies of Cosmetic Chemists |
| Sprache: | Englisch |
| Schlagwörter: | Sensory testing; Profiling; Predictive modeling; Tribology; Rheology |
| Fachgebiet (DDC): | 660: Technische Chemie |
| Zusammenfassung: | The 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. |
| Weitere Angaben: | This publication was winner of the price for the best poster presentation at the 24th IFSCC conference in Seoul, South Korea, 23-25 October, 2017 |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/19968 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | Life Sciences und Facility Management |
| Organisationseinheit: | Institut für Lebensmittel- und Getränkeinnovation (ILGI) |
| Enthalten in den Sammlungen: | 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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