Relationships between Intensity and Liking for Chemosensory Stimuli in Food Models: A Large-Scale Consumer Segmentation.

actual liking consumer segmentation perceived intensity pungency stated liking tastes

Journal

Foods (Basel, Switzerland)
ISSN: 2304-8158
Titre abrégé: Foods
Pays: Switzerland
ID NLM: 101670569

Informations de publication

Date de publication:
21 Dec 2021
Historique:
received: 23 11 2021
revised: 10 12 2021
accepted: 15 12 2021
entrez: 11 1 2022
pubmed: 12 1 2022
medline: 12 1 2022
Statut: epublish

Résumé

This study, which was conducted as part of the Italian Taste project, was aimed at exploring the relationship between actual liking and sensory perception in four food models. Each food model was spiked with four levels of prototypical tastant (i.e., citric acid, sucrose, sodium chloride, capsaicin) to elicit a target sensation (TS) at an increasing perceived intensity. Participants (N = 2258; 59% women, aged 18-60) provided demographic information, a stated liking for 40 different foods/beverages, and their responsiveness to tastants in water. A food-specific Pearson's coefficient was calculated individually to estimate the relationship between actual liking and TS responsiveness. Considering the relationship magnitude, consumers were grouped into four food-specific clusters, depending on whether they showed a strong negative (SNC), a weak negative (WNC), a weak positive (WPC), or a strong positive correlation (SPC). Overall, the degree of liking raised in parallel with sweetness responsiveness, fell as sourness and pungency perception increased, and showed an inverted U-shape relationship with saltiness. The SNC clusters generally perceived TSs at higher intensities, except for sourness. Clusters were validated by associating the level of stated liking towards food/beverages; however, some unexpected indications emerged: adding sugar to coffee or preferring spicy foods differentiated those presenting positive correlations from those showing negative correlations. Our findings constitute a step towards a more comprehensive understanding of food preferences.

Identifiants

pubmed: 35010132
pii: foods11010005
doi: 10.3390/foods11010005
pmc: PMC8750454
pii:
doi:

Types de publication

Journal Article

Langues

eng

Commentaires et corrections

Type : ErratumIn

Références

Annu Rev Nutr. 2008;28:367-88
pubmed: 18407743
Physiol Behav. 1992 Jul;52(1):75-82
pubmed: 1529017
Foods. 2019 Sep 27;8(10):
pubmed: 31569738
Comput Methods Programs Biomed. 1991 May;35(1):43-51
pubmed: 1879135
Psychol Bull. 1981 Jul;90(1):43-73
pubmed: 7267897
Food Qual Prefer. 2018 Apr;65:175-180
pubmed: 31320785
Chem Senses. 2019 Jan 29;44(2):129-134
pubmed: 30590512
Physiol Behav. 2004 Sep 15;82(2-3):459-69
pubmed: 15276811
Chem Senses. 2007 Mar;32(3):225-36
pubmed: 17204520
Chem Senses. 2000 Aug;25(4):447-60
pubmed: 10944509
Q J Exp Psychol (Hove). 2009 Aug;62(8):1648-64
pubmed: 19180363
Physiol Behav. 1997 Sep;62(3):649-55
pubmed: 9272678
Science. 1974 May 3;184(4136):583-5
pubmed: 4821960
Alcohol Clin Exp Res. 2004 Nov;28(11):1629-37
pubmed: 15547448
Psychol Rev. 1960 Jul;67:253-68
pubmed: 14432499
Nutrients. 2021 Mar 06;13(3):
pubmed: 33800789
Physiol Behav. 1999 Oct;67(4):513-20
pubmed: 10549887
Foods. 2020 Oct 09;9(10):
pubmed: 33050242
Chem Senses. 2018 Nov 1;43(9):697-710
pubmed: 30204849
Physiol Behav. 1996 Sep;60(3):953-8
pubmed: 8873274
Physiol Behav. 2004 Aug;82(1):109-14
pubmed: 15234598
Appetite. 2014 Apr;75:1-10
pubmed: 24361469
Chem Senses. 2003 Jun;28(5):397-413
pubmed: 12826536
Food Qual Prefer. 2014 Sep 1;36:27-32
pubmed: 25024507
Neurosci Biobehav Rev. 2009 Jan;33(1):1-17
pubmed: 18708089
J Am Diet Assoc. 1996 May;96(5):471-4
pubmed: 8621872
Psychol Res. 1980;42(1-2):165-74
pubmed: 7394125
Physiol Behav. 2008 Sep 3;95(1-2):77-87
pubmed: 18538361
Nutrients. 2019 Jan 10;11(1):
pubmed: 30634558
Physiol Behav. 2007 Jun 8;91(2-3):264-73
pubmed: 17477942
Science. 1975 Dec 19;190(4220):1217-8
pubmed: 1198109
Physiol Behav. 1988;43(5):601-7
pubmed: 3200915
Food Res Int. 2017 Oct;100(Pt 1):325-334
pubmed: 28873694
Food Res Int. 2016 Dec;90:91-99
pubmed: 29195896
Physiol Behav. 2015 Jan;138:219-26
pubmed: 25446205
Physiol Behav. 2010 Jun 16;100(4):369-80
pubmed: 20380843
Nutr Cancer. 1999;34(1):70-5
pubmed: 10453444
Chem Senses. 2020 May 29;45(5):383-390
pubmed: 32382729
Appetite. 1988 Oct;11(2):81-95
pubmed: 3239966
Appetite. 2006 Jan;46(1):93-6
pubmed: 16360976
Arq Bras Cardiol. 2019 Aug 29;113(3):392-399
pubmed: 31482947
Physiol Behav. 1979 May;22(5):999-1003
pubmed: 504405
Lancet. 2011 Aug 27;378(9793):804-14
pubmed: 21872749
Appetite. 1984 Sep;5(3):187-97
pubmed: 6524915
Int J Obes (Lond). 2012 Oct;36(10):1285-91
pubmed: 22546773
Nutrients. 2021 Jan 19;13(1):
pubmed: 33478028
Chem Senses. 2000 Jun;25(3):239-46
pubmed: 10866983

Auteurs

Isabella Endrizzi (I)

Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach, Via Edmund Mach 1, 38010 San Michele all'Adige, Italy.

Danny Cliceri (D)

Center Agriculture Food Environment, University of Trento/Fondazione Edmund Mach, Via Edmund Mach 1, 38010 San Michele all'Adige, Italy.

Leonardo Menghi (L)

Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach, Via Edmund Mach 1, 38010 San Michele all'Adige, Italy.
Center Agriculture Food Environment, University of Trento/Fondazione Edmund Mach, Via Edmund Mach 1, 38010 San Michele all'Adige, Italy.
Department of Technology and Innovation, Center University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark.

Eugenio Aprea (E)

Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach, Via Edmund Mach 1, 38010 San Michele all'Adige, Italy.
Center Agriculture Food Environment, University of Trento/Fondazione Edmund Mach, Via Edmund Mach 1, 38010 San Michele all'Adige, Italy.

Mathilde Charles (M)

Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach, Via Edmund Mach 1, 38010 San Michele all'Adige, Italy.

Erminio Monteleone (E)

Department of Agricultural, Food, Environment and Forestry (DAGRI), University of Florence, Via Donizetti 6, 50144 Florence, Italy.

Caterina Dinnella (C)

Department of Agricultural, Food, Environment and Forestry (DAGRI), University of Florence, Via Donizetti 6, 50144 Florence, Italy.

Sara Spinelli (S)

Department of Agricultural, Food, Environment and Forestry (DAGRI), University of Florence, Via Donizetti 6, 50144 Florence, Italy.

Ella Pagliarini (E)

Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy.

Monica Laureati (M)

Department of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy.

Luisa Torri (L)

University of Gastronomic Sciences, Piazza Vittorio Emanuele II, 9, 12042 Pollenzo, Italy.

Alessandra Bendini (A)

Department of Agricultural and Food Sciences (DISTAL), Alma Mater Studiorum-University of Bologna, 40126 Bologna, Italy.

Tullia Gallina Toschi (TG)

Department of Agricultural and Food Sciences (DISTAL), Alma Mater Studiorum-University of Bologna, 40126 Bologna, Italy.

Fiorella Sinesio (F)

CREA, Council for Agricultural Research and Economics, Research Center Food & Nutrition, Via Ardeatina 546, 00178 Rome, Italy.

Stefano Predieri (S)

Institute for Bioeconomy, CNR, National Research Council, Via Gobetti 101, 40129 Bologna, Italy.

Flavia Gasperi (F)

Department of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach, Via Edmund Mach 1, 38010 San Michele all'Adige, Italy.
Center Agriculture Food Environment, University of Trento/Fondazione Edmund Mach, Via Edmund Mach 1, 38010 San Michele all'Adige, Italy.

Classifications MeSH