Innovative tools to predict sensory properties of complex mixtures / cosmetics - Archive ouverte HAL Access content directly
Conference Papers Year :

Innovative tools to predict sensory properties of complex mixtures / cosmetics

Domains

Chemical Sciences Analytical chemistry Chemical Sciences Polymers Chemical Sciences Material chemistry Chemical Sciences Chemical Sciences Other

Michel Grisel  : Connect in order to contact the contributor

https://hal-normandie-univ.archives-ouvertes.fr/hal-02565578

Submitted on : Wednesday, May 6, 2020-3:30:57 PM

Last modification on : Friday, April 1, 2022-1:44:02 PM

Not file

Dates and versions

hal-02565578 , version 1 (06-05-2020)

Identifiers

  • HAL Id : hal-02565578 , version 1

Cite

Michel Grisel, Laura Gilbert, Géraldine Savary, Celine Picard. Innovative tools to predict sensory properties of complex mixtures / cosmetics. World Congress of Advanced Materials 2013, Jun 2013, Suzhou, China. ⟨hal-02565578⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

COMUE-NORMANDIE UNILEHAVRE URCOM
10 View
0 Download

Share

Gmail Facebook Twitter LinkedIn More