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Abstract SCHIRACK, ANDRIANA VAIS. The Effect of Microwave ...

Abstract SCHIRACK, ANDRIANA VAIS. The Effect of Microwave ...

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Givaudan-Roure developed Quantitative Flavour Pr<strong>of</strong>iling in the 1990's. <strong>The</strong> method<br />

is distinguished by its extensive use <strong>of</strong> references, making the results easier to<br />

compare between labs and over time. A panel <strong>of</strong> experts is utilized to characterize<br />

flavors, using nonambiguous technical language (Murray et al., 2001).<br />

One <strong>of</strong> the most common techniques in descriptive sensory analysis used<br />

today is QDA, or Quantitative Descriptive Analysis. QDA involves a panel <strong>of</strong> 10-12<br />

people, and a panel leader which is not actively involved in the evaluation. In QDA,<br />

the subject marks a line scale at the perceived intensity. <strong>The</strong> line scale is anchored<br />

on each end but has no interval numbers or labels, with the possible exception <strong>of</strong> the<br />

reference. It is not essential that each judge uses the same segment <strong>of</strong> the scale,<br />

but rather that performance is consistent (Stone et al., 1974). Although the data<br />

must be measured by hand, this type <strong>of</strong> scale may eliminate central tendency in the<br />

subjects. QDA is usually linked to product-specific scaling, in which scoring is<br />

relative to other samples. Although the panelist training does not need to be as<br />

extensive as in other methods <strong>of</strong> descriptive analysis, the product-specific scaling<br />

makes comparisons with other panels difficult. <strong>The</strong> key elements <strong>of</strong> the QDA<br />

technique include: formal statistical testing for reliability, development <strong>of</strong> a language<br />

by the group under a panel administrator’s leadership, subject selection based on<br />

performance, repeated judgements to monitor panel performance, relatively short<br />

subject training time, data collection using coded samples, and the use <strong>of</strong> analysis <strong>of</strong><br />

variance and principle component analysis to evaluate data (Stone et al., 1974).<br />

<strong>The</strong> Spectrum technique, developed by Gail Civille in 1970s, is also<br />

commonly used today. <strong>The</strong> Spectrum technique is based on a complete and<br />

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