Evidence map›Paper›PMID 35010132›Full record

ArticleFoods (Basel, Switzerland)2021

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

Isabella Endrizzi, Danny Cliceri, Leonardo Menghi, Eugenio Aprea, Mathilde Charles, Erminio Monteleone, Caterina Dinnella, Sara Spinelli, Ella Pagliarini, Monica Laureati and 6 more

Erratum issuedAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Isabella EndrizziDepartment of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach, Via Edmund Mach 1, 38010 San Michele all'Adige, Italy.ORCID 0000-0003-0049-4306
Danny CliceriCenter Agriculture Food Environment, University of Trento/Fondazione Edmund Mach, Via Edmund Mach 1, 38010 San Michele all'Adige, Italy.ORCID 0000-0002-3542-2057
Leonardo MenghiDepartment of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach, Via Edmund Mach 1, 38010 San Michele all'Adige, Italy.
Eugenio ApreaDepartment of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach, Via Edmund Mach 1, 38010 San Michele all'Adige, Italy.ORCID 0000-0003-3648-0459
Mathilde CharlesDepartment of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach, Via Edmund Mach 1, 38010 San Michele all'Adige, Italy.
Erminio MonteleoneDepartment of Agricultural, Food, Environment and Forestry (DAGRI), University of Florence, Via Donizetti 6, 50144 Florence, Italy.ORCID 0000-0002-9149-969X
Caterina DinnellaDepartment of Agricultural, Food, Environment and Forestry (DAGRI), University of Florence, Via Donizetti 6, 50144 Florence, Italy.ORCID 0000-0002-5765-6057
Sara SpinelliDepartment of Agricultural, Food, Environment and Forestry (DAGRI), University of Florence, Via Donizetti 6, 50144 Florence, Italy.ORCID 0000-0002-5175-6276
Ella PagliariniDepartment of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy.ORCID 0000-0001-5261-9276
Monica LaureatiDepartment of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, 20133 Milan, Italy.
Luisa TorriUniversity of Gastronomic Sciences, Piazza Vittorio Emanuele II, 9, 12042 Pollenzo, Italy.ORCID 0000-0003-4522-6452
Alessandra BendiniDepartment of Agricultural and Food Sciences (DISTAL), Alma Mater Studiorum-University of Bologna, 40126 Bologna, Italy.ORCID 0000-0002-6515-5519
Tullia Gallina ToschiDepartment of Agricultural and Food Sciences (DISTAL), Alma Mater Studiorum-University of Bologna, 40126 Bologna, Italy.ORCID 0000-0001-7241-2280
Fiorella SinesioCREA, Council for Agricultural Research and Economics, Research Center Food & Nutrition, Via Ardeatina 546, 00178 Rome, Italy.
Stefano PredieriInstitute for Bioeconomy, CNR, National Research Council, Via Gobetti 101, 40129 Bologna, Italy.ORCID 0000-0003-4270-4914
Flavia GasperiDepartment of Food Quality and Nutrition, Research and Innovation Centre, Fondazione Edmund Mach, Via Edmund Mach 1, 38010 San Michele all'Adige, Italy.ORCID 0000-0003-0055-9464

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

actual likingconsumer segmentationperceived intensitypungencystated likingtastes

Identifiers

PMID35010132
PMCPMC8750454

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.