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Using an online photo based questionnaire to predict tasted liking and amount sampled of familiar and unfamiliar foods by female nutrition students

journal contribution

posted on 2021-02-01, 00:00 authored by Kathryn Colla, Russell KeastRussell Keast, Isabella Hartley, Gie LiemGie Liem

Using an online photo based questionnaire to predict tasted liking and amount sampled of familiar and unfamiliar foods by female nutrition students

History

Journal

Journal of sensory studies

Volume

36

Issue

1

Article number

e12614

Pagination

1 - 11

Publisher

Wiley

Location

Chichester, Eng.

Publisher DOI

https://doi.org/10.1111/joss.12614

ISSN

0887-8250

eISSN

1745-459X

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000567690700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

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Keywords

Science & Technology Life Sciences & Biomedicine Food Science & Technology SENSORY EXPECTATIONS ACCEPTANCE CHOICE PREFERENCES SWEET SALT CUES TOOL FAT

Licence

All Rights Reserved

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