Author:
Peng Bangzhu,Yue Tianli,Yuan Yahong
Abstract
This paper proposes a fuzzy set approach that integrates objective and subjective information to evaluating kiwi wine quality. The 10 different kiwi wines experimentally were conducted firstly sensory evaluation. Then the contents of principal aroma components were identified and determined by the Headspace-Solid phase Microextraction-Gas Chromatography-Mass Spectrometry using quantitative standards with known amounts of target components and 3-Octanol as internal standards. The result of fuzzy set approach to assess and rank the kiwi wine quality showed KW-1 as the best kiwi wine. The results and outcomes of this study suggest that the approach described in this paper is more accurate and objective than conventional methods. It provides a comprehensive method for dealing with incomplete and imprecise information to support the whole evaluation process. This method should be utilized by the fruit wine industry around the world because of its practicability and superiority.
Subject
Engineering (miscellaneous),Food Science,Biotechnology
Cited by
6 articles.
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