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Vol. 28, Special Issue, April-May 2018, pp. 19-25




Differentiation of Philippine Aromatic Rice Varieties Using Electronic Nose

1, 2 Michael SERAFICO and 1, 3 Fortunato III SEVILLA

1 The Graduate School, University of Santo Tomas, Espaňa Boulevard, Manila 1015, Philippines
2 Food and Nutrition Research Institute, Bicutan, Taguig City 1633, Philippines
3 Research Center for the Natural and Applied Sciences, UST, Manila 1015, Philippines
2 Tel.: (632) 837 8113, fax: (632) 837 2934

2 E-mail: mes@fnri.dost.gov.ph


Received: 28 March 2018 /Accepted: 28 May 2018 /Published: 31 May 2018

Digital Sensors and Sensor Sysstems


Abstract: Aromatic rice varieties are often more preferred by consumers because of their distinctive aroma, taste, and flavor. Accordingly, these varieties command higher market price than ordinary rice, and become direct targets for adulteration and mislabeling. Currently, aromatic rice quality are differentiated through techniques having lengthy processing time, and relatively high operational cost. This study explored the utilization of an electronic nose system to differentiate Philippine aromatic rices. The sensor responses were assessed by principal component analysis (PCA), and hierarchical clustering analysis (HCA). Visual patterns from the PCA precisely classified ( 95 %) the samples into different varieties. On the other hand, HCA generated three separate clusters putting all traditional varieties in one group. The result demonstrated that the electronic nose can be used as an alternative tool to differentiate the quality of Philippine aromatic rice varieties based on the generated volatile compounds from the samples.


Keywords: Rice, Aroma, Electronic nose, Headspace, Principal Component Analysis.


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