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  • 1
    Electronic Resource
    Electronic Resource
    Oxford, UK and Malden, USA : Blackwell Science Inc
    Journal of texture studies 36 (2005), S. 0 
    ISSN: 1745-4603
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Process Engineering, Biotechnology, Nutrition Technology
    Notes: Three compression systems were used to study the mechanical behavior of cereal flakes of 13 commercial cornflakes brands that were also evaluated by sensory analysis. A Kramer cell, on an Instron testing machine, allowed to simultaneously record force in the range 0–5 kN and sound in the frequency domain 0–22 kHz during the crushing of 20 mm thick beds of cereal flakes tested in bulk. It was shown to be the most reliable and efficient method for discrimination. Acoustic emission has been shown to correlate with crispness perception. Uncrispy-perceived products emitted signals with lower average amplitude and higher peaks, at low frequencies – less than 3 kHz – and opposed a high mechanical resistance to compression. On the opposite, the crispiest flakes emitted sounds with larger average amplitude, fewer high peaks and uniformly distributed in the frequency domain with a moderated mechanical resistance. Links between texture perception and structure were improved and results validated the developed system, which may be used for quality evaluation of particle solid foam foods.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Journal of sensory studies 16 (2001), S. 0 
    ISSN: 1745-459X
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Chemistry and Pharmacology , Process Engineering, Biotechnology, Nutrition Technology
    Notes: Forty pure chemical compounds representing a wide range of odors, were evaluated by a panel of 240 consumers. These compounds were matched with a list of 40 common descriptors. The results were analyzed by Correspondence Analysis and Hierarchical Clustering. This original approach enhanced the study by providing a layman's point of view and thereby shedding light on the theories of olfactory perception. The level of odor confusion by consumers was also studied. Consumers pointed out three principal odorant directions which we called “ citrus”, “ sweet” and “ heavy” . Aniseed and garlic odors were the most isolated notes. The association among compounds or odors was explained by semantic processes and by the odorant products consumers used which make up their odorant domain.
    Type of Medium: Electronic Resource
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  • 3
    ISSN: 0886-9383
    Keywords: Discriminant analysis ; Size-exclusion chromatography ; Wheat proteins ; Chemistry ; Analytical Chemistry and Spectroscopy
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology
    Notes: Continuous digitalized signals such as spectra, electrophoregrams or chromatograms generally have a large number of data points and contain redundant information. It is therefore troublesome performing discriminant analysis without any preliminary selection of variables. A procedure for the application of canonical discriminant analysis (CDA) on this kind of data is studied. CDA can be presented as a succession of two principal component analyses (PCAs). The first is performed directly on the raw data and gives PC scores. The second is applied on the gravity centres of each qualitative group assessed on the normalized PC scores. A stepwise procedure for selection of the relevant PC scores is presented. The method has been tested on an illustrative collection of 165 size-exclusion high-performance (SE-HPLC) chromatograms of proteins of wheat belonging to 55 genotypes and grown in three locations. The discrimination of the growing locations was performed using seven to nine PC scores and gave more than 86% accurate classifications of the samples both in the training sets and the verification sets. The genotypes were also rather well identified, with more than 85% of the samples correctly classified. The studied method gives a way of assessing relevant mathematical distances between digitalized signals according to qualitative knowledge of the samples.
    Additional Material: 10 Ill.
    Type of Medium: Electronic Resource
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