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A fuzzy comprehensive evaluation for selecting yeast for cider making
Author(s) -
Peng Bangzhu,
Yue Tianli,
Yuan Yahong
Publication year - 2008
Publication title -
international journal of food science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.831
H-Index - 96
eISSN - 1365-2621
pISSN - 0950-5423
DOI - 10.1111/j.1365-2621.2006.01404.x
Subject(s) - yeast , aroma , brewing , fuzzy logic , food science , fermentation , gas chromatography–mass spectrometry , chemistry , chromatography , computer science , mass spectrometry , biochemistry , artificial intelligence
Summary In this article, we present a new approach in solving the problem of selecting proper and excellent cider yeast. Eight different yeast strains commonly used in the cider industry were selected for this experiment. Different ciders were fermented by the yeasts. Sensory evaluation was conducted first. Then, aroma components were identified by the headspace‐solid phase microextraction–gas chromatography–mass spectrometry. Their contents were determined using quantitative standards with known amounts of target components and 2‐octanol as internal standards. A model of fuzzy comprehensive evaluation was established and used to assess and rank the cider‐making attributes of all eight yeast strains. Saccharomyces cerevisiae F14 was selected out of the eight yeasts for the best cider. The results suggest that the method described in this article is more accurate and objective than conventional methods.