Journal of Chemometrics · 2006 · 140 citations · 16 references
AgricultureFood ScienceMaterials ScienceAcousticsFood AnalysisSensory EvaluationFlavor EvaluationFood Texture ChemistrySensory AnalysisSensory Data AnalysisTexture EvaluationTexture QualityChemometric AnalysisFood Texture AssessmentFood Texture QualityFood Texture Sensory AnalysisSensory CharacterizationSensory Evaluation Of TextureSensory Quality EvaluationTexture Prediction Models
Abstract This study combines passive acoustic and mechanical measures of sensory crispness. We show that the acoustic signal is dominated by ‘bursts’ of sound associated with crack failure events in the product which also release measurable amounts of elastic energy. One‐way analysis of variance (ANOVA) and principal component analysis (PCA) were performed on the sensory, acoustical, mechanical and compositional parameters. We show that this chemometric approach is a powerful method for the objective analysis of large, complex data sets in the context of human sensory studies and the objective measure of a sensory parameter; in this case crispness. We demonstrate that sensory crispness in almonds is an amalgam of acoustic and mechanical effects occurring during chewing. We show that our method is capable of predicting the crispness of roasted almonds. Copyright © 2007 John Wiley & Sons, Ltd.
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Lawrence E. Kinsler, Austin R. Frey, Carl E. Adams · American Journal of Physics · 1963 · 1.4K citations
A PSYCHOACOUSTICAL THEORY OF CRISPNESS
Zata Vickers, Malcolm C. Bourne · Journal of Food Science · 1976 · 226 citations
The quantification of crispness
Julian F. V. Vincent · Journal of the Science of Food and Agriculture · 1998 · 180 citations
Consumer awareness of texture and other food attributes.
A. S. Szczenniak · Food technology · 1963 · 173 citations
Agriculture, Food Science, Nutrition +14