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

Metabolite Profiling Using ¹H NMR Spectroscopy for Quality Assessment of Green Tea, <i>Camellia sinensis </i>(L.)

Gwénaëlle Le Gall, Ian J. Colquhoun, Marianne Defernez · Journal of Agricultural and Food Chemistry · 2004 · 217 citations

Life Sciences, Biochemistry, Food Science +17

White and Green Teas ( <i>Camellia sinensis</i>  var.  <i>sinensis</i> ): Variation in Phenolic, Methylxanthine, and Antioxidant Profiles

Uchenna Unachukwu, Selena Ahmed, Adam Kavalier et al. · Journal of Food Science · 2010 · 189 citations

Agriculture, Food Science, Nutritional Sciences +16

Prediction of Japanese Green Tea Ranking by Gas Chromatography/Mass Spectrometry-Based Hydrophilic Metabolite Fingerprinting

Wipawee Pongsuwan, Eiichiro Fukusaki, Takeshi Bamba et al. · Journal of Agricultural and Food Chemistry · 2006 · 181 citations

Life Sciences, Food Science, Analytical Chemistry +16

Identification of potent odourants in static headspace samples of green and black tea powders on the basis of aroma extract dilution analysis (AEDA)

H. Guth, Werner Grosch · Flavour and Fragrance Journal · 1993 · 140 citations

Agriculture, Food Science, Analytical Chemistry +16

Discrimination of LongJing green-tea grade by electronic nose

Huichun Yu, Jun Wang · Sensors and Actuators B Chemical · 2006 · 117 citations

Agriculture, Food Science, Sensory Evaluation +6