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Classification of Agarwood Oil Using an Electronic Nose
Sensor Technology and Applications Research Cluster, Universiti Malaysia Perlis (UniMAP), 01000 Kangar, Perlis, Malaysia
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Received: 1 March 2010; in revised form: 14 April 2010 / Accepted: 19 April 2010 / Published: 6 May 2010
Abstract: Presently, the quality assurance of agarwood oil is performed by sensory panels which has significant drawbacks in terms of objectivity and repeatability. In this paper, it is shown how an electronic nose (e-nose) may be successfully utilised for the classification of agarwood oil. Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA), were used to classify different types of oil. The HCA produced a dendrogram showing the separation of e-nose data into three different groups of oils. The PCA scatter plot revealed a distinct separation between the three groups. An Artificial Neural Network (ANN) was used for a better prediction of unknown samples.
Keywords: agarwood oil; e-nose; HCA; PCA; ANN; dimensionality reduction
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Cite This Article
MDPI and ACS Style
Hidayat, W.; Shakaff, A.Y.M.; Ahmad, M.N.; Adom, A.H. Classification of Agarwood Oil Using an Electronic Nose. Sensors 2010, 10, 4675-4685.
Hidayat W, Shakaff AYM, Ahmad MN, Adom AH. Classification of Agarwood Oil Using an Electronic Nose. Sensors. 2010; 10(5):4675-4685.
Hidayat, Wahyu; Shakaff, Ali Yeon Md.; Ahmad, Mohd Noor; Adom, Abdul Hamid. 2010. "Classification of Agarwood Oil Using an Electronic Nose." Sensors 10, no. 5: 4675-4685.