ACADSTAFF UGM
| Title | : | Classification of Indonesia black teas based on quality by using electronic nose and principal component analysis |
| Author | : |
Dr. Danang Lelono, S.Si., M.T. (1) Prof. Dr. Eng. Kuwat Triyana, M.Si. (2) Prof. Dra. Sri Hartati, M.Sc., Ph.D. (3) Prof. Dr. Ir. Jazi Eko Istiyanto, M.Sc. (4) |
| Date | : | 2016 |
| Keyword | : | Gas sensors,electronic nose (e-nose) ,principal component analysis (PCA) Gas sensors,electronic nose (e-nose) ,principal component analysis (PCA) |
| Abstract | : | An electronic nose (e-nose) with twelve MOS-based gas sensors have been used to classify the quality of the Indonesia black tea. The black tea samples were obtained from local tea shops in Yogyakarta, including first quality (Q1) or BOP (Broken Orange Pokoe), second quality (Q2) or BPII (Broken Pokoe II) and third quality (Q3) or Bohea. For each dry tea sample was tested 31 times, at temperatures (40.0 ± 1.0) °C without any treatment and it analyzed by unsupervised principal component analysis (PCA). The experimental results showed that all three samples almost have the same aroma when observed from the sensor response. The difference from the aroma samples lie on the sensor response of the signal intensity and it can be classified clearly by the PCA with first and second principal component accounted for 80.3% and 15.3% of the variance, respectively. Besides that, the analysis of PCA indicates that the sample Q2 is closed to Q1 and Q3. It suggests that a small constituent element of black tea in Q1 and Q3 also contained in Q2. The overall results e-nose with the non-selective gas sensor can be used to classify the quality of Indonesia black tea properly. © 2016 Author(s). |
| Group of Knowledge | : | Ilmu Komputer |
| Level | : | Internasional |
| Status | : |
Published
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