Next Article in Journal
Freshwater-Borne Bacteria Isolated from a Malaysian Rainforest Waterfall Exhibiting Quorum Sensing Properties
Previous Article in Journal
Simulation and Implementation of a Morphology-Tuned Gold Nano-Islands Integrated Plasmonic Sensor
Article Menu

Export Article

Open AccessArticle
Sensors 2014, 14(6), 10514-10526;

Improving Short Term Instability for Quantitative Analyses with Portable Electronic Noses

University Center of Merida, University of Extremadura, Sta. Teresa de Jornet, 38, Mérida 06800, Spain
Polytechnic School, University of Extremadura, Cáceres 10003, Spain
Faculty of Science, University of Extremadura, Avda, Elvas s/n, Badajoz 06006, Spain
Author to whom correspondence should be addressed.
Received: 13 February 2014 / Revised: 22 May 2014 / Accepted: 6 June 2014 / Published: 13 June 2014
(This article belongs to the Section Chemical Sensors)
Full-Text   |   PDF [941 KB, uploaded 21 June 2014]   |  


One of the main problems when working with electronic noses is the lack of reproducibility or repeatability of the sensor response, so that, if this problem is not properly considered, electronic noses can be useless, especially for quantitative analyses. On the other hand, irreproducibility is increased with portable and low cost electronic noses where laboratory equipment like gas zero generators cannot be used. In this work, we study the reproducibility of two portable electronic noses, the PEN3 (commercial) and CAPINose (a proprietary design) by using synthetic wine samples. We show that in both cases short term instability associated to the sensors’ response to the same sample and under the same conditions represents a major problem and we propose an internal normalization technique that, in both cases, reduces the variability of the sensors’ response. Finally, we show that the normalization proposed seems to be more effective in the CAPINose case, reducing, for example, the variability associated to the TGS2602 sensor from 12.19% to 2.2%. View Full-Text
Keywords: electronic nose; quantitative analysis; gas sensor electronic nose; quantitative analysis; gas sensor

Graphical abstract

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

Share & Cite This Article

MDPI and ACS Style

Macías, M.M.; Agudo, J.E.; Manso, A.G.; Orellana, C.J.G.; Velasco, H.M.G.; Caballero, R.G. Improving Short Term Instability for Quantitative Analyses with Portable Electronic Noses. Sensors 2014, 14, 10514-10526.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



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