Sensors 2010, 10(5), 4675-4685; doi:10.3390/s100504675

Classification of Agarwood Oil Using an Electronic Nose

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Received: 1 March 2010; in revised form: 14 April 2010 / Accepted: 19 April 2010 / Published: 6 May 2010
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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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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.

AMA Style

Hidayat W, Shakaff AYM, Ahmad MN, Adom AH. Classification of Agarwood Oil Using an Electronic Nose. Sensors. 2010; 10(5):4675-4685.

Chicago/Turabian Style

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.

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