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  • 1
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Journal of sensory studies 6 (1991), S. 0 
    ISSN: 1745-459X
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Chemistry and Pharmacology , Process Engineering, Biotechnology, Nutrition Technology
    Notes: In this paper we discuss methods that can be used to evaluate the performance of sensory panels. In particular we concentrate on detection of variation within and among panelists. A systematic presentation of some simple, graphically oriented tools will be given. Interpretation aspects of the tools will be emphasized. The methods will be illustrated by computations from a sensory experiment based on 4 sausage products. The example demonstrates how the tools can be used to evaluate the reproducibility of the assessors and also how they can be used to detect different types of individual differences among the assessors.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    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: Near infrared reflectance (NIR) and transmittance (NIT) spectroscopy were studied as potential methods for determination of sensory quality of sausages. Sausage formulations (57) with varying fat (6.3–30.1%), carbohydrate (2.6–9.7%) and NaCl (1.4–2.2%) were produced. Sausages were evaluated by a trained sensory panel using three color, four odor, six flavor, and five texture attributes. Sensory panel performance was evaluated to ensure accuracy and reliability. NIR and NIT analyses were performed both on batter and end-products. The main variation among sausages was described by differences in color attributes, odors and flavors of meat and smoke, juiciness and greasiness. NIT analysis of sausages gave the best description of sensory variations. However, both NIR and NIT spectra of batter described the main color and texure variations among sausages with a relative prediction (RAP) of 0.87 to 0.93 for color attributes and 0.83 to 0.91 for juiciness and greasiness. These rapid methods should be useful during production and for end-product control to help ensure consistent quality.
    Type of Medium: Electronic Resource
    Library Location Call Number Volume/Issue/Year Availability
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