The electronic nose coupled with chemometric tools for discriminating the quality of black tea samples in situ

An electronic nose (E-nose), comprising eight metal oxide semiconductor (MOS) gas sensors, was used in situ for real-time classification of black tea according to its quality level. Principal component analysis (PCA) coupled with signal preprocessing techniques (i.e., time set value preprocessing, F...

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Bibliographic Details
Main Author: Hidayat, Shidiq Nur (author)
Other Authors: Triyana, Kuwat (author), Fauzan, Inggrit (author), Julian, Trisna (author), Lelono, Danang (author), Yusuf, Yusril (author), Ngadiman, N. (author), Veloso, Ana C.A. (author), Peres, António M. (author)
Format: article
Language:eng
Published: 2018
Subjects:
Black tea
Electronic nose
Multivariate statistical tools
Preprocessing
Online Access:http://hdl.handle.net/10198/20262
Country:Portugal
Oai:oai:bibliotecadigital.ipb.pt:10198/20262

Internet

http://hdl.handle.net/10198/20262

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