Kanokwan Jumtee

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

E. Fukusaki, T. Bamba, Kanokwan Jumtee, 2011, Journal of bioscience and bioengineering.

Comprehensive metabolite profiling of phyA phyB phyC triple mutants to reveal their associated metabolic phenotype in rice leaves.

E. Fukusaki, A. Kobayashi, K. Harada, 2009, Journal of bioscience and bioengineering.

Metabolic Fingerprinting and Profiling of Arabidopsis thaliana Leaf and its Cultured Cells T87 by GC/MS

E. Fukusaki, A. Kobayashi, T. Bamba, 2006, Zeitschrift fur Naturforschung. C, Journal of biosciences.

Integrated metabolite and gene expression profiling revealing phytochrome A regulation of polyamine biosynthesis of Arabidopsis thaliana.

E. Fukusaki, A. Kobayashi, T. Bamba, 2008, Journal of experimental botany.

Fast GC-FID based metabolic fingerprinting of Japanese green tea leaf for its quality ranking prediction.

Eiichiro Fukusaki, Takeshi Bamba, E. Fukusaki, 2009, Journal of separation science.

An approach to peak detection in GC-MS chromatograms and application of KNApSAcK database in prediction of candidate metabolites

Shigehiko Kanaya, Eiichiro Fukusaki, Aki Hirai, 2009 .

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

E. Fukusaki, T. Bamba, Kanokwan Jumtee, 2011, Journal of bioscience and bioengineering.