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Abstract

13 nutrition components were used as as quality evaluation index, methods of principal analysis and subordinate function were applied to comprehensively evaluate the quality of commercial Auricularia auricular from 15 production area, and clustering analysis was used to classify Auricularia auricular quality. The results showed that 4 principal components were extracted from 13 nutrient components, and their cumulative contribution rate was 81.52%, which could reflect the comprehen-sive information of the quality of Auricularia auricula better. The contents of iron, zinc, total fatty acid, crude polysaccharide and ash could be used as indexes for the comprehensive quality evaluation of Auricularia auricula from 15 producing areas. The quality of Auricularia auricula in the 15 producing areas was evaluated by membership function method, and cluster analysis divided the nutritional quality of them into four categories.

Publication Date

5-28-2021

First Page

227

Last Page

232

DOI

10.13652/j.issn.1003-5788.2021.05.040

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