Predication of Japanese green tea (Sen-cha) ranking by volatile profiling using gas chromatography mass spectrometry and multivariate analysis

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概要

• 論文の詳細を見る

著者

• Jumtee Kanokwan

  Nara Prefectural Small And Medium Sized Enterprises Support Corporation:department Of Biotechnology

関連論文

• An approach to peak detection in GC-MS chromatograms and application of KNApSAcK database in prediction of candidate metabolites
• Comprehensive metabolite profiling of phyA phyB phyC triple mutants to reveal their associated metabolic phenotype in rice leaves(PLANT BIOTECHNOLOGY)
• Predication of Japanese green tea (Sen-cha) ranking by volatile profiling using gas chromatography mass spectrometry and multivariate analysis
• Predication of Japanese green tea (Sen-cha) ranking by volatile profiling using gas chromatography mass spectrometry and multivariate analysis(BREWING AND FOOD TECHNOLOGY)

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