“It's not bad, but it's not chicken”: Sensorial drivers of liking and their correlates for plant-based chicken analogues in Sweden

Development of satisfying plant based (PB) meat analogues could be expedited through better understanding of the sensorial drivers of hedonic (dis)liking. To address this, here six commercially available PB chicken analogues and a chicken breast reference are evaluated. Consumers ( N =105) report hedonic liking (appearance, aroma, taste/flavour, texture, and overall), sensorially profile the samples with rate-all-that-apply (RATA) and just-about-right (JAR) scales and describe what they like and dislike about the tasted samples in their own words (free-text responses). The samples are also characterised instrumentally: microscopy to visualize the microstructure and cyclic compression testing to quantify key mechanical properties (maximum true stress, Young’s modulus, and compressive energy). The sensory space is explored with principal component analysis and penalty analysis; associations between the modalities of liking and how these may determine overall liking is assessed using Bayesian network analysis; and multiple regression with Bayesian inference is used to contrast liking across samples and identify the drivers of (dis)liking within each hedonic modality. Chicken is preferred across all hedonic modalities, while samples made of mycoprotein are liked most of the PB samples. Drivers of liking are detected for all modalities except appearance. The drivers of texture liking include higher perceived tenderness and juiciness, the latter of which is also inversely correlated with Young’s modulus on the first compression cycle. The free-text responses suggest that consumers readily recognized the chicken sample. That sensory responses reflect both the intrinsic properties of products (bottom-up) and cognitive (top-down) aspects, including familiarity, is thus discussed. • Mycoprotein-based chicken analogues were the most liked of the plant-based samples • Drivers of (dis)liking were identified for aroma, taste, and texture but not appearance • Excessive flavour intensity negatively impacts liking of chicken analogues • No mechanical correlates of hedonic liking were detected • Lower Young’s modulus may be associated with a fatty and juicy texture

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Publication Details

Journal
International Journal of Gastronomy and Food Science
Published
2025-06-19
DOI
https://doi.org/10.1016/j.ijgfs.2025.101229
Citations
3
Primary Topic
Sensory Analysis and Statistical Methods
Type
article
Field-Weighted Citation Impact
3.49
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article

“It's not bad, but it's not chicken”: Sensorial drivers of liking and their correlates for plant-based chicken analogues in Sweden

Johanna Eckardt, Annika Krona, Anne Normann, Marcus Bendtsen et al.
3 citations
International Journal of Gastronomy and Food Science
Sensory Analysis and Statistical Methods
3.49
article

“It's not bad, but it's not chicken”: Sensorial drivers of liking and their correlates for plant-based chicken analogues in Sweden

Johanna Eckardt, Annika Krona, Anne Normann, Marcus Bendtsen, Elizabeth S. Collier, Astrid Ahlinder, Kathryn L. Harris, Greta van Huyssteen
article en
3 citations

Abstract

Development of satisfying plant based (PB) meat analogues could be expedited through better understanding of the sensorial drivers of hedonic (dis)liking. To address this, here six commercially available PB chicken analogues and a chicken breast reference are evaluated. Consumers ( N =105) report hedonic liking (appearance, aroma, taste/flavour, texture, and overall), sensorially profile the samples with rate-all-that-apply (RATA) and just-about-right (JAR) scales and describe what they like and dislike about the tasted samples in their own words (free-text responses). The samples are also characterised instrumentally: microscopy to visualize the microstructure and cyclic compression testing to quantify key mechanical properties (maximum true stress, Young’s modulus, and compressive energy). The sensory space is explored with principal component analysis and penalty analysis; associations between the modalities of liking and how these may determine overall liking is assessed using Bayesian network analysis; and multiple regression with Bayesian inference is used to contrast liking across samples and identify the drivers of (dis)liking within each hedonic modality. Chicken is preferred across all hedonic modalities, while samples made of mycoprotein are liked most of the PB samples. Drivers of liking are detected for all modalities except appearance. The drivers of texture liking include higher perceived tenderness and juiciness, the latter of which is also inversely correlated with Young’s modulus on the first compression cycle. The free-text responses suggest that consumers readily recognized the chicken sample. That sensory responses reflect both the intrinsic properties of products (bottom-up) and cognitive (top-down) aspects, including familiarity, is thus discussed. • Mycoprotein-based chicken analogues were the most liked of the plant-based samples • Drivers of (dis)liking were identified for aroma, taste, and texture but not appearance • Excessive flavour intensity negatively impacts liking of chicken analogues • No mechanical correlates of hedonic liking were detected • Lower Young’s modulus may be associated with a fatty and juicy texture

International Journal of Gastronomy and Food ScienceVol. 41
Linköping University (SE), RISE Research Institutes of Sweden (SE)
Zero hunger
Openalex Percentile: Top 8%
Sensory Analysis and Statistical Methods
3.49
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