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  • 1
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Journal of food science 61 (1996), 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: Sausages were produced with seven different mixtures with skim milk powder, sodium caseinate and whey protein (1.5, 3, 5%) according to a simplex-centroid design, where the proportion of each ingredient varied from 0 to 100%. Principal component analysis (PCA) identified that sausages with 1.5% milk protein were most similar in sensory quality to the controls and had minimum cooking loss. PCA was effective to reduce the number of attributes to five to describe the main variation among the 1.5% milk protein sausages. A mixture of 1:1 blend of skim milk powder and whey protein resulted in the product with lowest cooking loss.
    Type of Medium: Electronic Resource
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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
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  • 3
    Electronic Resource
    Electronic Resource
    Bradford : Emerald
    International journal of quality science 3 (1998), S. 254-274 
    ISSN: 1359-8538
    Source: Emerald Fulltext Archive Database 1994-2005
    Topics: Economics
    Notes: Experimental design methods are tools for conducting informative, time- and cost-effective experiments. Used during product development, these methods can contribute to building quality into products as well as shortening the development cycle time. These techniques make it possible to study the effect of many factors (parameters) simultaneously, to select the factor combination that results in both improved quality and reduced cost, and hence allow for the development of reliable and robust products of high quality. In addition, these methods provide a systematic approach for problem solving during the product development process. This article provides a non-technical discussion of the role of experimentation and the advantage of using experimental design during product development. Different experimental design methods and examples of their application during product development will also be presented.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    New York, NY : Wiley-Blackwell
    Journal of Chemometrics 8 (1994), S. 205-219 
    ISSN: 0886-9383
    Keywords: Fractional factorial design ; Significant effects ; ANOVA ; Probability plotting ; Bayes plot ; Chemistry ; Analytical Chemistry and Spectroscopy
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Notes: This paper presents a method for identifying significant effects in fractional factorial designs. The method is based on comparing functions of the estimated effects with a scale invariant reference distribution. The method is illustrated and compared with alternative techniques on a dataset from processed cheese production. The method corresponded well to other methods (probability plotting and Bayes plot) that do not make use of error estimates. These methods were better than F-tests with few (two or four) degrees of freedom for error.
    Additional Material: 2 Ill.
    Type of Medium: Electronic Resource
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