2005
DOI: 10.1016/j.foodqual.2004.05.009
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Sensory measurement of dynamic flavour intensity in ice cream with different fat levels and flavourings

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Cited by 62 publications
(40 citation statements)
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“…suggested using these model estimates as a variable selection technique where non-significant variables can be removed from the model. In sensory science, this technique has been commonly applied to e.g., descriptive profiling (Martens & Martens, 2001) and time-intensity data (Frøst, Heymann, Bredie, Dijksterhuis, & Martens, 2005).…”
Section: Pls and Jack-knifing Theorymentioning
confidence: 99%
“…suggested using these model estimates as a variable selection technique where non-significant variables can be removed from the model. In sensory science, this technique has been commonly applied to e.g., descriptive profiling (Martens & Martens, 2001) and time-intensity data (Frøst, Heymann, Bredie, Dijksterhuis, & Martens, 2005).…”
Section: Pls and Jack-knifing Theorymentioning
confidence: 99%
“…The ice cream industry is a relatively complicated process with successive steps that affect the structure and content of microbial involvement or affect the overall quality of ice cream [2] and can be seen as commenting greasy by air and water in the sugar center and protein solution [3], As well as the increase in the amount of whey protein in the milk in the emulsion face oil/water lowers the surface tension and increases the viscosity of mixture; resulting in the production of dry ice cream [4], also, the storage temperature, and is currently the industry specifications for the storage of ice cream .…”
Section: Introductionmentioning
confidence: 99%
“…Each of the ingredients was used for ice cream formulation influences the quality characteristics, functional and sensorial properties of it (Koxholt et al 2001;Frost et al 2005).…”
Section: Introductionmentioning
confidence: 99%