open access publication

Article, 2024

Texture profiling of muscle meat benchmarks and plant-based analogues: An instrumental and sensory design approach with focus on correlations

Food Hydrocolloids, ISSN 0268-005X, 1873-7137, Volume 151, Page 109829, 10.1016/j.foodhyd.2024.109829

Contributors

Nasrollahzadeh, Farzaneh [1] [2] Alexi, Niki 0000-0001-9781-3611 (Corresponding author) [2] Skov, Kasper B 0000-0001-9500-3308 [2] Roman, Laura 0000-0002-6561-9504 [2] Sfyra, Konstantina 0000-0002-8554-6090 [2] Martinez, Mario Martinez 0000-0001-8520-7761 (Corresponding author) [2]

Affiliations

  1. [1] University of Guelph
  2. [NORA names: Canada; America, North; OECD];
  3. [2] Aarhus University
  4. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

Instrumental parameters frequently utilized to evaluate whether plant-based products can mimic meat texture include Warner-Bratzler Shear Force (WBSF), tensile strength (TS), and water distribution (WD). However, the extent to which these relate to sensory texture and mouthfeel attributes, giving insights to actual perception, remains unclear. This work used a combined instrumental and sensory designation approach to profile the texture of plant-based meat analogues (PBMAs) vs. muscle meat benchmarks and examine the extent the former could mimic the texture of the latter. Moreover, it examined the correlations between instrumental and sensory parameters to evaluate their relevance in characterizing the perceived texture of PBMAs in relation to meat. For this, extrudates from hemp, pumpkin, soy, and mung bean blends were prepared and compared to chicken breast, pork cutlet, and calf steak. Instrumental measurements were conducted before (WBSF, TS, WD) and after cooking (WBSF, TS), whereas a trained panel Descriptive Analysis (DA) was conducted in two rounds, one dedicated to PBMAs and one including both PBMAS and meat benchmarks. WBSF (of cooked samples) was positively correlated to the sensory texture attribute chewy (r = 0.74, p < 0.05), whereas TS was additionally correlated to dense/compact and hard (r = 0.80, r = 0.77, p < 0.05). WD data strongly correlated (p < 0.05) to mouthfeel attributes including undissolved particles and mouthcoating, with r often >0.90. Importantly, these correlations changed when examining the data from the DA including only the PBMAs, exhibiting the importance of evaluating texture within the correct context. This study identified promising similarities, offering insights for refining plant-based food experiences in comparison to meat.

Keywords

WD data, Warner-Bratzler, Warner-Bratzler shear force, actual perception, analogues, analysis, approach, attributes, benchmarks, blends, breast, calves, chicken breast, comparison, comparison to meat, context, cooking, correlation, cutlets, data, descriptive analysis, design approach, distribution, evaluate texture, experiments, extruder, food experiences, force, hemp, instrumental measurements, instrumental parameters, measurements, meat, meat analogues, meat texture, mouthfeel, mouthfeel attributes, mung, muscle, parameters, particles, perceived texture, perception, plant-based analogues, plant-based meat analogues, plant-based products, pork, pork cutlets, production, pumpkin, relevance, round, sensory parameters, sensory texture, sensory texture attributes, shear force, similarity, soy, steaks, strength, study, tensile, tensile strength, texture, texture attributes, texture profile, trained panel descriptive analysis, undissolved particles, water, water distribution

Funders

  • Novo Nordisk Foundation
  • Mitacs

Data Provider: Digital Science