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Author:

Zhao, X. (Zhao, X..) | Miao, Y. (Miao, Y..) | Ji, S. (Ji, S..) | Yan, L. (Yan, L..) | Li, Y. (Li, Y..) | Zhang, F. (Zhang, F..) | Gong, J. (Gong, J..) | Lu, B. (Lu, B..)

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EI Scopus

Abstract:

In order to explore quality evaluation methods for Chinese coffee beans for freshly ground coffee and instant coffee and to select evaluation indicators, the major quality indicators were selected from the basic quality indicators through the Delphi evaluation method and sequence relationship analysis to construct a quality index system. Then the differences in the major quality indicators of 53 coffee bean samples from different production areas in Yunnan and Hainan provinces were determined, the characteristic quality indicators of coffee beans for different purposes were selected by correlation analysis, principal component analysis (PCA) and cluster analysis, and stepwise multiple linear regression analysis was conducted based on the comprehensive scores of the principal components of the samples. Finally, grain size, taste, aroma and carbohydrate content were selected as the characteristic quality indicators of instant coffee and grain size, taste, aroma and caffeine content as the characteristic quality indicators of freshly ground coffee. It is determined that the major varieties suitable for instant coffee are Catimor and Typica, and the major production area is Yunnan province. The major variety suitable for freshly ground coffee is Catimor, and the major production area is Yunnan province. © 2024 Chinese Chamber of Commerce. All rights reserved.

Keyword:

characteristic indexes coffee beans index screening quality evaluation principal component analysis

Author Community:

  • [ 1 ] [Zhao X.]Laboratory of Quality & Safety Risk Assessment for Agricultural Products on Storage and Preservation, Ministry of Agriculture and Rural Affairs, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China
  • [ 2 ] [Miao Y.]College of Food Science and Technology, Yunnan Agricultural University, Kunming, 650201, China
  • [ 3 ] [Ji S.]Laboratory of Quality & Safety Risk Assessment for Agricultural Products on Storage and Preservation, Ministry of Agriculture and Rural Affairs, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China
  • [ 4 ] [Yan L.]Institute of Spice and Beverages, Chinese Academy of Tropical Agricultural Sciences, Wanning, 571533, China
  • [ 5 ] [Li Y.]Laboratory of Quality & Safety Risk Assessment for Agricultural Products on Storage and Preservation, Ministry of Agriculture and Rural Affairs, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China
  • [ 6 ] [Zhang F.]Faculty of Environment and Life, Beijing University of Technology, Beijing, 100124, China
  • [ 7 ] [Gong J.]Institute of Agricultural Products Processing, Yunnan Academy of Agricultural Sciences, Kunming, 650223, China
  • [ 8 ] [Lu B.]Laboratory of Quality & Safety Risk Assessment for Agricultural Products on Storage and Preservation, Ministry of Agriculture and Rural Affairs, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058, China

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Source :

Food Science

ISSN: 1002-6630

Year: 2024

Issue: 3

Volume: 45

Page: 193-202

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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