Next Article in Journal
Design of Belief Propagation Based on FPGA for the Multistereo CAFADIS Camera
Next Article in Special Issue
A Local Weighted Nearest Neighbor Algorithm and a Weighted and Constrained Least-Squared Method for Mixed Odor Analysis by Electronic Nose Systems
Previous Article in Journal
A Zero Velocity Detection Algorithm Using Inertial Sensors for Pedestrian Navigation Systems
Previous Article in Special Issue
Electronic Nose Breathprints Are Independent of Acute Changes in Airway Caliber in Asthma
Article Menu

Export Article

Open AccessArticle
Sensors 2010, 10(10), 9179-9193; doi:10.3390/s101009179

Development of a Portable Electronic Nose System for the Detection and Classification of Fruity Odors

Department of Electrical Engineering, National Tsing Hua University/No. 101, Sec. 2, Kuang-Fu Road, Hsinchu, Taiwan
*
Author to whom correspondence should be addressed.
Received: 12 August 2010 / Revised: 29 September 2010 / Accepted: 8 October 2010 / Published: 15 October 2010
(This article belongs to the Special Issue Direct and Indirect Sensing of Odor and VOCs and Their Control)
View Full-Text   |   Download PDF [1221 KB, 21 June 2014; original version 21 June 2014]   |  

Abstract

In this study, we have developed a prototype of a portable electronic nose (E-Nose) comprising a sensor array of eight commercially available sensors, a data acquisition interface PCB, and a microprocessor. Verification software was developed to verify system functions. Experimental results indicate that the proposed system prototype is able to identify the fragrance of three fruits, namely lemon, banana, and litchi. View Full-Text
Keywords: portable electronic nose system; sensor array; E-Nose; fruity odor detection portable electronic nose system; sensor array; E-Nose; fruity odor detection
Figures

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Tang, K.-T.; Chiu, S.-W.; Pan, C.-H.; Hsieh, H.-Y.; Liang, Y.-S.; Liu, S.-C. Development of a Portable Electronic Nose System for the Detection and Classification of Fruity Odors. Sensors 2010, 10, 9179-9193.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top