z-logo
open-access-imgOpen Access
Data-Driven Clustering Approach to Derive Taste Perception Profiles from Sweet, Salt, Sour, Bitter, and Umami Perception Scores: An Illustration among Older Adults with Metabolic Syndrome
Author(s) -
Julie E Gervis,
Kenneth Chui,
Jiantao Ma,
Óscar Coltell,
Rebeca Fernández-Carrión,
José V. Sorlí,
Rocío Barragán,
Montserrat Fitó,
José I. González,
Dolores Corella,
Alice H. Lichtenstein
Publication year - 2021
Publication title -
journal of nutrition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.463
H-Index - 265
eISSN - 1541-6100
pISSN - 0022-3166
DOI - 10.1093/jn/nxab160
Subject(s) - umami , perception , taste , cluster analysis , bitter taste , food science , psychology , salt (chemistry) , biology , chemistry , computer science , artificial intelligence , neuroscience
Current approaches to studying relations between taste perception and diet quality typically consider each taste-sweet, salt, sour, bitter, umami-separately or aggregately, as total taste scores. Consistent with studying dietary patterns rather than single foods or total energy, an additional approach may be to study all 5 tastes collectively as "taste perception profiles."

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom