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  • 1
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Journal of food science 59 (1994), S. 0 
    ISSN: 1750-3841
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Process Engineering, Biotechnology, Nutrition Technology
    Notes: Liquid whitener was prepared using peanut extract, cottonseed oil, and water. Quadratic canonical polynomials predicted the response of the sensory variables peanutty, milky, oily flavor, astringent, and surface layer thickness to the component proportions. Reduced cubic canonical polynomials were necessary to predict responses of the sensory variables color lightness, roasted nutty, oily suspension; and the variables viscosity and stability in coffee to the component proportions. Increasing or decreasing extract from 50% of the blend decreased whitening capacity. Increasing extract increased peanutty and roasted nutty ratings. Increasing oil increased ratings for oily flavor and surface layer thickness but decreased astringent ratings and stability of whiteners in coffee. Storage of the whitener at 5° was necessary to prevent mi-crobial spoilage.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Journal of food science 58 (1993), S. 0 
    ISSN: 1750-3841
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Process Engineering, Biotechnology, Nutrition Technology
    Notes: A liquid coffee whitener was formulated using peanut milk as a substitute for sodium caseinate and water. Sensory quality of the formulation was evaluated using a descriptive panel. Six sensory attributes were significantly (p 〈 0.05) affected by the amounts of peanut milk, oil and corn syrup solids in the formulations. The maximum amount of peanut milk for an optimum formulation was 40%. The maximum fat content increased from 6% to 9% as peanut milk was decreased from 40% to 20%. A concentration of 2–9% corn syrup solids could be used with 20–40% peanut milk. Acceptable formulations within the optimum region contained 6% oil in combination with 40% peanut milk and 2% corn syrup solids or 20% peanut milk and 8% corn syrup solids.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Journal of food science 57 (1992), S. 0 
    ISSN: 1750-3841
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Process Engineering, Biotechnology, Nutrition Technology
    Notes: The feasibility of producing coffee whitener by spray drying peanut extracts was studied. The whiteners were spray-dried at 200°C using atomizer speeds of 15000, 25000, 35000 rpm and volumetric flow rates of 0.6, 1.2, 1.8 L/hr. Performance of the whiteners in coffee was evaluated vs commercial coffee creamers by a consumer panel. Objective tests for color, solubility, and moisture were performed. The liquid whitener had lower performance and sensory scores than commercial samples (p 〈 0.01). Recommended processing conditions for spray drying liquid whitener from peanuts at 200°C include atomizer speeds in the 15000-29000 rpm range and volumetric flow rates 〉 1.80 L/hr.
    Type of Medium: Electronic Resource
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  • 4
    ISSN: 1745-459X
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Chemistry and Pharmacology , Process Engineering, Biotechnology, Nutrition Technology
    Notes: An alternative method for measuring response and analyzing data in consumer research was explored in this study which attempted to identify critical flavor properties of mango. Twelve mango samples were evaluated according to 13 flavor descriptors by a trained panel using 150-mm unstructured lines. Consumers (n = 120), intercepted in supermarkets, each tasted 3 samples and responded ‘yes’ or ‘no’ to an intent-to-purchase question. Consumer response, coded by respectively assigning 0 or 1 to each negative or positive answer, was expressed as a probability of purchase and related to descriptive attributes using logistic regression. Critical descriptors were peachy, grassy, and green banana (α= 0.10). The function generated had an index of discrimination of 0.70. Although limitations in flavor variations and possible segmentation among the consumers studied restricted the usefulness of the acceptability function, using a probability of purchase as an index of acceptability and logistic regression to relate consumer response with product attributes was demonstrated.
    Type of Medium: Electronic Resource
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