bullet Sensors & Transducers Journal

    (ISSN: 2306-8515, e-ISSN 1726-5479)


   About this Journal

   Information for Authors

   Editorial Board

   Editorial Calendar

   Current Issue

   Browse Journal

S&T journal's cover

Submit Press Release

Submit White Paper

25 Top Downloaded Articles (2007-2012)


Contact Us





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




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.


Acrobat reader logo Click <here> or title of paper to download the full pages article in pdf format



This work is licensed under a Creative Commons 4.0 International License


 Creative Commons License


Read more about Chemical and Gas Sensors






1999 - 2019 Copyright , International Frequency Sensor Association (IFSA) Publishing, S.L. All Rights Reserved.

Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn