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

Colla, K; Keast, Russell; Hartley, I; Liem, Gie

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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

Version 2 2024-06-03, 13:10

Version 1 2020-10-05, 08:27

journal contribution

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

History

Journal

Journal of Sensory Studies

Volume

36

Article number

ARTN e12614

Pagination

1 - 11

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

Issue

1

Publisher

WILEY

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Keywords

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

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File(s) under permanent embargo

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

History

Journal

Volume

Article number

Pagination

Location

Publisher DOI

ISSN

eISSN

Language

Author URL

Publication classification

Issue

Publisher

Usage metrics

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Keywords

Licence

Exports