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Vol. 230, Issue 2, February 2019, pp. 21-30

 

Bullet

 

Comparison of Major Volatile Compounds in Three Varieties of Ginger Grown in Indonesia
using Solid Phase Micro Extraction Gas Chromatography/Mass Spectroscopy Followed
by Electronic Nose Based on Metal Oxide Semiconductor Gas Sensor
 

1 Fajar HARDOYONO and 2 Kikin WINDHANI

1 Laboratory of Physics, Institut Agama Islam Negeri (IAIN) Purwokerto, Jalan A. Yani 40 A, Purwokerto, Central Java, Indonesia, 53171
2 Agro economic Research Group, Faculty of Economics and Business, Universitas Jenderal Soedirman, Jalan H.R. Bunyamin 806, Purwokerto, Central Java, Indonesia
1 Tel.: +628159044242

1 E-mail: hardoyono@iainpurwokerto.ac.id

 

Received: 30 December 2018 /Accepted: 31 January 2019 /Published: 28 February 2019

Digital Sensors and Sensor Sysstems

 

Abstract: Solid Phase Micro Extraction-Gas Chromatography/Mass Spectroscopy (SPME-GC/MS) was employed to identify major compounds in three varieties of ginger grown in Indonesia, namely: small-white ginger (SWG), big-white ginger (BWG), and red ginger (RG). SWG was dominated by b-sesquiphellandrene and a-farnesene. The major chemical compounds identified in BWG were dominated by: a- zingiberene, cedren-13-ol, 8-,b-bisabolene, and neral, while curcumene, neral, a-zingiberene, citral, and geraniol were most dominant in RG. Sensory analysis using electronic nose (e-nose) based on metal oxide semiconductor (MOS) gas sensor was also employed to measure the sensory response of these gingers. Principal component analysis (PCA) of feature e-nose response showed that the feature response of three gingers can be separated. The score plot in the PC1-PC2 coordinate of PCA obtained 89.30 % of variance at two principal components. PC1 contributed 58.30 % of the variance, while PC2 contributed 31.00 %. Furthermore, hierarchical cluster analysis (HCA) of feature response of three gingers indicated that the similarity level between BWG and RG is almost 36.12 %, due to the presence of a-zingiberene and neral, that was identified more than 10 % both in BWG and RG.

 

Keywords: Indonesia ginger, SPME-GC/MS, E-nose, Principal component analysis, Hierarchical cluster analysis.

 

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