書誌事項
- タイトル別名
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- Statistical analysis between analytical and sensory data of coffee aroma.
- コーヒー コウキ ノ キキ ブンセキ データ ト カンノウ ケンサ データ ノ
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説明
The relationship between gas chromatographic (GC) data and sensory data was analyzed in 31 arabica coffee samples by multivariate analysis, and the aroma profiles of the samples were characterized. Using principal component analysis (PCA) for GC data, the samples were classified into six groups. The relationships between the principal components obtained by PCA and sensory data were linear by Quantification Theory 1. On the basis of partial correlation coefficients, the effects of the terms used in sensory evaluation on the first and second principal component were clarified.
収録刊行物
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- 日本農芸化学会誌
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日本農芸化学会誌 63 (9), 1485-1491, 1989
公益社団法人 日本農芸化学会
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詳細情報 詳細情報について
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- CRID
- 1390001204506066432
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- NII論文ID
- 130001228631
- 10008422532
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- NII書誌ID
- AN00196191
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- ISSN
- 18836844
- 00021407
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- NDL書誌ID
- 3247390
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可