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

https://hdl.handle.net/10536/DRO/DU:30143453
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posted on 2024-06-03, 13:10 authored by K Colla, Russell KeastRussell Keast, I 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

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Related Materials

1.
DOI - Is version of https://doi.org/10.1111/joss.12614

Location

Chichester, Eng.

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

Journal

Journal of Sensory Studies

Volume

36

Article number

ARTN e12614

Pagination

1 - 11

ISSN

0887-8250

eISSN

1745-459X

Issue

1

Publisher

WILEY

Usage metrics

Categories

Food sciences not elsewhere classified

Keywords

Science & Technology Life Sciences & Biomedicine Food Science & Technology SENSORY EXPECTATIONS ACCEPTANCE CHOICE PREFERENCES SWEET SALT CUES TOOL FAT 3006 Food sciences

Licence

All Rights Reserved

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