Understanding consumer liking for sustainable products: insights from EsSense25 and the Emotional Index

Rapid population growth and resource depletion necessitate exploring sustainable food solutions, and brewery spent grain (BSG), rich in fiber, presents a promising approach. This study investigated consumer acceptance of BSG-enriched bread, pasta, and chocolate milk combining explicit stated as well as novel implicit physiological measures for emotional states. For explicit stated emotional data, 100 consumers rated product liking and completed the EsSense25 questionnaire; while for implicit physiological data 30 participants also underwent psychophysiological measurements using a Shimmer3 GSR system to record Skin Conductance Response (SCR) and heart rate (HR) for each product, to calculate the Emotional Index (EI). Results showed BSG's impact on liking was product-dependent. "satisfied" and "interested" correlated positively with liking, while "disgusted" and "bored" correlated negatively. PCA revealed distinct emotional profiles for BSG-enriched pasta. Regression models identified "disgusted" and "satisfied" as key liking predictors. The EI was higher during tasting, but didn't correlate significantly with liking. This study emphasizes the importance of considering both sensory and emotional factors in sustainable food product development, demonstrating the potential of combining traditional methods with techniques like the EI and EsSense25 for a deeper understanding of consumer acceptance.

Authors

Institutions

Publication Details

Journal
Future Foods
Published
2025-08-30
DOI
https://doi.org/10.1016/j.fufo.2025.100748
Citations
1
Primary Topic
Sensory Analysis and Statistical Methods
Type
article
Field-Weighted Citation Impact
1.16

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding consumer liking for sustainable products: insights from EsSense25 and the Emotional Index

Ana Curutchet, Juan Andrés Menéndez, Matías Miguez, Patricia Arcia et al.
1 citations
Future Foods
Sensory Analysis and Statistical Methods
1.16
article

Understanding consumer liking for sustainable products: insights from EsSense25 and the Emotional Index

Ana Curutchet, Juan Andrés Menéndez, Matías Miguez, Patricia Arcia, Maite Serantes Laforgue
article en
1 citations

Abstract

Rapid population growth and resource depletion necessitate exploring sustainable food solutions, and brewery spent grain (BSG), rich in fiber, presents a promising approach. This study investigated consumer acceptance of BSG-enriched bread, pasta, and chocolate milk combining explicit stated as well as novel implicit physiological measures for emotional states. For explicit stated emotional data, 100 consumers rated product liking and completed the EsSense25 questionnaire; while for implicit physiological data 30 participants also underwent psychophysiological measurements using a Shimmer3 GSR system to record Skin Conductance Response (SCR) and heart rate (HR) for each product, to calculate the Emotional Index (EI). Results showed BSG's impact on liking was product-dependent. "satisfied" and "interested" correlated positively with liking, while "disgusted" and "bored" correlated negatively. PCA revealed distinct emotional profiles for BSG-enriched pasta. Regression models identified "disgusted" and "satisfied" as key liking predictors. The EI was higher during tasting, but didn't correlate significantly with liking. This study emphasizes the importance of considering both sensory and emotional factors in sustainable food product development, demonstrating the potential of combining traditional methods with techniques like the EI and EsSense25 for a deeper understanding of consumer acceptance.

Future FoodsVol. 12
Fundación IRAUy (UY), Universidad Católica del Uruguay (UY)
Agencia Nacional de Investigación e Innovación
Responsible consumption and production
Openalex Percentile: Top 18%
Sensory Analysis and Statistical Methods
1.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.