文献
J-GLOBAL ID:202202290036090523
整理番号:22A1036198
低計数スリランカ茶の最適発酵時間を予測するための電子鼻の応用【JST・京大機械翻訳】
Application of Electronic Nose to Predict the Optimum Fermentation Time for Low-Country Sri Lankan Tea
著者 (5件):
Sharmilan Tharaga
(Instrument Center, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda 10250, Gangodawila, Sri Lanka)
,
Premarathne Iresha
(Instrument Center, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda 10250, Gangodawila, Sri Lanka)
,
Wanniarachchi Indika
(Department of Physics, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda 10250, Gangodawila, Sri Lanka)
,
Kumari Sandya
(Department of Science & Technology, Faculty of Applied Sciences, Uva Wellassa University of Sri Lanka, Badulla 90000, Sri Lanka)
,
Wanniarachchi Dakshika
(Department of Chemistry, Faculty of Science, University of Kelaniya 11300, Colombo, Sri Lanka)
資料名:
Journal of Food Quality
(Journal of Food Quality)
巻:
2022
ページ:
Null
発行年:
2022年
JST資料番号:
A0984B
ISSN:
0146-9428
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)